Hui Xiong

Orcid: 0000-0001-6016-6465

Affiliations:
  • Hong Kong University of Science and Technology
  • Rutgers University, USA
  • University of Science and Technology of China, School of Computer Science, Hefei, China


According to our database1, Hui Xiong authored at least 634 papers between 2000 and 2025.

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Bibliography

2025
A Survey of Text Watermarking in the Era of Large Language Models.
ACM Comput. Surv., February, 2025

Multiple financial analyst opinions aggregation based on uncertainty-aware quality evaluation.
Eur. J. Oper. Res., 2025

2024
Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective.
IEEE Trans. Knowl. Data Eng., December, 2024

Towards Task Sampler Learning for Meta-Learning.
Int. J. Comput. Vis., December, 2024

Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment.
IEEE Trans. Knowl. Data Eng., November, 2024

LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading.
IEEE Trans. Knowl. Data Eng., November, 2024

University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach.
IEEE Trans. Knowl. Data Eng., November, 2024

Bootstrapping on Continuous-Time Dynamic Graphs for Crowd Flow Modeling.
IEEE Trans. Knowl. Data Eng., October, 2024

Public Bike Scheduling Strategy Based on Demand Prediction for Unbalanced Life-Value Distribution.
IEEE Trans. Intell. Transp. Syst., October, 2024

A survey on large language models for recommendation.
World Wide Web (WWW), September, 2024

Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024

Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation.
ACM Trans. Inf. Syst., September, 2024

DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model.
IEEE Trans. Smart Grid, July, 2024

Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction.
ACM Trans. Inf. Syst., July, 2024

RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.
IEEE Trans. Knowl. Data Eng., July, 2024

A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.
ACM Trans. Web, May, 2024

Adaptive Clustering Based Personalized Federated Learning Framework for Next POI Recommendation With Location Noise.
IEEE Trans. Knowl. Data Eng., May, 2024

GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network.
IEEE Trans. Knowl. Data Eng., May, 2024

Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.
ACM Trans. Knowl. Discov. Data, May, 2024

Mining technology trends in scientific publications: a graph propagated neural topic modeling approach.
Knowl. Inf. Syst., May, 2024

DEWP: Deep Expansion Learning for Wind Power Forecasting.
ACM Trans. Knowl. Discov. Data, April, 2024

SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System.
ACM Trans. Inf. Syst., March, 2024

How recommendation letters affect career Mobility:Evidence from a social networking sites LinkedIn.
Comput. Hum. Behav., March, 2024

GS-RS: A Generative Approach for Alleviating Cold Start and Filter Bubbles in Recommender Systems.
IEEE Trans. Knowl. Data Eng., February, 2024

Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning.
IEEE Trans. Cybern., February, 2024

A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction.
IEEE Trans. Big Data, February, 2024

Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews.
ACM Trans. Inf. Syst., January, 2024

BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks.
Proc. VLDB Endow., January, 2024

Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning.
IEEE Trans. Serv. Comput., 2024

Robust and Secure Federated Learning Against Hybrid Attacks: A Generic Architecture.
IEEE Trans. Inf. Forensics Secur., 2024

Manifold Constraint Regularization for Remote Sensing Image Generation.
IEEE Trans. Geosci. Remote. Sens., 2024

Information filtering and interpolating for semi-supervised graph domain adaptation.
Pattern Recognit., 2024

Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks.
CoRR, 2024

NeuGPT: Unified multi-modal Neural GPT.
CoRR, 2024

Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal.
CoRR, 2024

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.
CoRR, 2024

Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding.
CoRR, 2024

Labor Migration Modeling through Large-scale Job Query Data.
CoRR, 2024

Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting.
CoRR, 2024

On the Generalization and Causal Explanation in Self-Supervised Learning.
CoRR, 2024

Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting.
CoRR, 2024

TC-LLaVA: Rethinking the Transfer from Image to Video Understanding with Temporal Considerations.
CoRR, 2024

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.
CoRR, 2024

Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series.
CoRR, 2024

On the Discriminability of Self-Supervised Representation Learning.
CoRR, 2024

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking.
CoRR, 2024

Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities.
CoRR, 2024

Holistic Memory Diversification for Incremental Learning in Growing Graphs.
CoRR, 2024

MAD: Multi-Alignment MEG-to-Text Decoding.
CoRR, 2024

SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network.
CoRR, 2024

HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera.
CoRR, 2024

Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension.
CoRR, 2024

MIPI 2024 Challenge on Demosaic for HybridEVS Camera: Methods and Results.
CoRR, 2024

Uncertainty Quantification on Graph Learning: A Survey.
CoRR, 2024

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis.
CoRR, 2024

Intriguing Properties of Positional Encoding in Time Series Forecasting.
CoRR, 2024

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer.
CoRR, 2024

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.
CoRR, 2024

Decode Neural signal as Speech.
CoRR, 2024

DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load.
CoRR, 2024

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models.
CoRR, 2024

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.
CoRR, 2024

The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting.
CoRR, 2024

Harnessing Large Language Models for Text-Rich Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning.
Proceedings of the ACM on Web Conference 2024, 2024

Collaboration-Aware Hybrid Learning for Knowledge Development Prediction.
Proceedings of the ACM on Web Conference 2024, 2024

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Graph Signal Diffusion Model for Collaborative Filtering.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Hierarchical Structure-Aware Graph Prompting for Drug-Drug Interaction Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

The 5th International Workshop on Talent and Management Computing (TMC'2024).
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Optimized Cost Per Click in Online Advertising: A Theoretical Analysis.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CrossLight: Offline-to-Online Reinforcement Learning for Cross-City Traffic Signal Control.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Killing Two Birds with One Stone: Cross-modal Reinforced Prompting for Graph and Language Tasks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Urban Foundation Models: A Survey.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

COMET: NFT Price Prediction with Wallet Profiling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Mask-ControlNet: Higher-Quality Image Generation with an Additional Mask Prompt.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Parallel Task Scheduling in Autonomous Robotic Systems: An Event-Driven Multimodal Prediction Approach.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

AlphaVC: A Reinforcement Learning-based Venture Capital Investment Strategy.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

UniINR: Event-Guided Unified Rolling Shutter Correction, Deblurring, and Interpolation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Hierarchical Cross-Level Graph Contrastive Learning for Drug-Drug Interaction Prediction.
Proceedings of the Database Systems for Advanced Applications, 2024

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models.
Proceedings of the Database Systems for Advanced Applications, 2024

Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening.
Proceedings of the Database Systems for Advanced Applications, 2024


Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Spatio-Temporal Sequence Modeling for Traffic Signal Control.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Tabular Data-centric AI: Challenges, Techniques and Future Perspectives.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Temporal Graph Contrastive Learning for Sequential Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Reinforced Imitative Graph Learning for Mobile User Profiling.
IEEE Trans. Knowl. Data Eng., December, 2023

A Comprehensive Survey on Graph Anomaly Detection With Deep Learning.
IEEE Trans. Knowl. Data Eng., December, 2023

What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction.
ACM Trans. Intell. Syst. Technol., December, 2023

Semantic and Structural View Fusion Modeling for Social Recommendation.
IEEE Trans. Knowl. Data Eng., November, 2023

Hyperbolic Temporal Network Embedding.
IEEE Trans. Knowl. Data Eng., November, 2023

Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction.
IEEE Trans. Knowl. Data Eng., November, 2023

Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learning.
ACM Trans. Manag. Inf. Syst., September, 2023

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.
IEEE Trans. Knowl. Data Eng., September, 2023

HmcNet: A General Approach for Hierarchical Multi-Label Classification.
IEEE Trans. Knowl. Data Eng., September, 2023

Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning.
IEEE Trans. Knowl. Data Eng., July, 2023

Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity.
IEEE Trans. Knowl. Data Eng., July, 2023

FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition.
IEEE Trans. Mob. Comput., June, 2023

What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising.
IEEE Trans. Knowl. Data Eng., June, 2023

RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation.
IEEE Trans. Knowl. Data Eng., June, 2023

Heterogeneous Graph Representation Learning With Relation Awareness.
IEEE Trans. Knowl. Data Eng., June, 2023

Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation.
IEEE Trans. Knowl. Data Eng., June, 2023

Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective.
ACM Trans. Knowl. Discov. Data, June, 2023

Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams.
IEEE Trans. Big Data, June, 2023

Towards Automatic Job Description Generation With Capability-Aware Neural Networks.
IEEE Trans. Knowl. Data Eng., May, 2023

Graph-Grounded Goal Planning for Conversational Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2023

Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning.
Int. J. Comput. Vis., May, 2023

Expanding the prediction capacity in long sequence time-series forecasting.
Artif. Intell., May, 2023

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., April, 2023

MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling.
IEEE Trans. Knowl. Data Eng., April, 2023

Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training.
VLDB J., March, 2023

Learning Adaptive Embedding Considering Incremental Class.
IEEE Trans. Knowl. Data Eng., March, 2023

Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Platform-Oriented Event Time Allocation.
IEEE Trans. Knowl. Data Eng., March, 2023

Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation.
IEEE Trans. Knowl. Data Eng., March, 2023

Automated Feature Selection: A Reinforcement Learning Perspective.
IEEE Trans. Knowl. Data Eng., March, 2023

Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting.
IEEE Trans. Big Data, February, 2023

Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network.
IEEE Trans. Knowl. Data Eng., 2023

Diagnostic Sparse Connectivity Networks With Regularization Template.
IEEE Trans. Knowl. Data Eng., 2023

Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop.
IEEE Trans. Knowl. Data Eng., 2023

Multi-Attention Feature Fusion Network for Accurate Estimation of Finger Kinematics From Surface Electromyographic Signals.
IEEE Trans. Hum. Mach. Syst., 2023

An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems.
INFORMS J. Comput., 2023

A Cost-Effective Sequential Route Recommender System for Taxi Drivers.
INFORMS J. Comput., 2023

Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

Exploring the tidal effect of urban business district with large-scale human mobility data.
Frontiers Comput. Sci., 2023

Topic-sensitive expert finding based solely on heterogeneous academic networks.
Expert Syst. Appl., 2023

Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity.
CoRR, 2023

Large Language Models are Not Stable Recommender Systems.
CoRR, 2023

Survey on Trustworthy Graph Neural Networks: From A Causal Perspective.
CoRR, 2023

A Survey of Reasoning with Foundation Models.
CoRR, 2023

Towards Graph-Aware Diffusion Modeling for Collaborative Filtering.
CoRR, 2023

The Impact of Generative Artificial Intelligence.
CoRR, 2023

DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops.
CoRR, 2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.
CoRR, 2023

Machine Learning for Urban Air Quality Analytics: A Survey.
CoRR, 2023

Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution.
CoRR, 2023

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network.
CoRR, 2023

Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms.
CoRR, 2023

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.
CoRR, 2023

Generative Job Recommendations with Large Language Model.
CoRR, 2023

Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction.
CoRR, 2023

Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback.
CoRR, 2023

Preference or Intent? Double Disentangled Collaborative Filtering.
CoRR, 2023

Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic.
CoRR, 2023

CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout.
CoRR, 2023

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction.
Proceedings of the Knowledge Science, Engineering and Management, 2023

The 4th International Workshop on Talent and Management Computing (TMC'2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Spatial Heterophily Aware Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Temporal Relationship Inference in Urban Areas.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

HomoGCL: Rethinking Homophily in Graph Contrastive Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Community-based Dynamic Graph Learning for Popularity Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Semi-supervised Domain Adaptation in Graph Transfer Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks.
Proceedings of the 44th International Conference on Information Systems, 2023

Graph Learning of Multifaceted Motivations for Online Engagement Prediction in Counter-party Social Networks.
Proceedings of the 44th International Conference on Information Systems, 2023

MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs.
Proceedings of the IEEE International Conference on Data Mining, 2023

ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Earnings Call Analysis Using a Sparse Attention Based Encoder and Multi-Source Counterfactual Augmentation.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Learning a Hierarchical Intent Model for Next-Item Recommendation.
ACM Trans. Inf. Syst., 2022

Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach.
ACM Trans. Inf. Syst., 2022

Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment.
ACM Trans. Inf. Syst., 2022

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control.
IEEE Trans. Mob. Comput., 2022

$\mathsf{NCF}$NCF: A Neural Context Fusion Approach to Raw Mobility Annotation.
IEEE Trans. Mob. Comput., 2022

Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach.
IEEE Trans. Knowl. Data Eng., 2022

Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network.
IEEE Trans. Knowl. Data Eng., 2022

Detect Professional Malicious User With Metric Learning in Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

Attribute Graph Neural Networks for Strict Cold Start Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

A Survey on Knowledge Graph-Based Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems.
IEEE Trans. Knowl. Data Eng., 2022

Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network.
ACM Trans. Knowl. Discov. Data, 2022

Adaptive Model Scheduling for Resource-efficient Data Labeling.
ACM Trans. Knowl. Discov. Data, 2022

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification.
ACM Trans. Knowl. Discov. Data, 2022

Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond.
ACM Trans. Knowl. Discov. Data, 2022

Exploring the Risky Travel Area and Behavior of Car-hailing Service.
ACM Trans. Intell. Syst. Technol., 2022

Correction to: An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications.
Scientometrics, 2022

Complex Attributed Network Embedding for medical complication prediction.
Knowl. Inf. Syst., 2022

From Human-AI Confrontation to Human-AI Symbiosis in Society 5.0: Transformation Challenges and Mechanisms.
IT Prof., 2022

Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process-Based Latent Factor Model.
INFORMS J. Comput., 2022

Iterative Prediction-and-Optimization for E-Logistics Distribution Network Design.
INFORMS J. Comput., 2022

Self-Optimizing Feature Transformation.
CoRR, 2022

Hyperbolic Graph Neural Networks: A Review of Methods and Applications.
CoRR, 2022

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Customized Conversational Recommender Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoST: Towards the Universal Modeling of Spatio-temporal Sequences.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DDR: Dialogue Based Doctor Recommendation for Online Medical Service.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Feature and Instance Joint Selection: A Reinforcement Learning Perspective.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Interventional Contrastive Learning with Meta Semantic Regularizer.
Proceedings of the International Conference on Machine Learning, 2022

MetAug: Contrastive Learning via Meta Feature Augmentation.
Proceedings of the International Conference on Machine Learning, 2022

Visual Communication and Fashion Popularity Contagion in Social Networks.
Proceedings of the 43rd International Conference on Information Systems, 2022

Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Knowledge Enhanced Person-Job Fit for Talent Recruitment.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Platform-Oriented Event Time Allocation(Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning to Walk with Dual Agents for Knowledge Graph Reasoning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results.
ACM Trans. Inf. Syst., 2021

Deep Subdomain Adaptation Network for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021

Exploiting Network Fusion for Organizational Turnover Prediction.
ACM Trans. Manag. Inf. Syst., 2021

Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation.
IEEE Trans. Knowl. Data Eng., 2021

Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities.
IEEE Trans. Knowl. Data Eng., 2021

Automatic Treatment Regimen Design.
IEEE Trans. Knowl. Data Eng., 2021

EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction.
IEEE Trans. Knowl. Data Eng., 2021

Product Quantized Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2021

Butterfly-Core Community Search over Labeled Graphs.
Proc. VLDB Endow., 2021

Deep multi-task learning with relational attention for business success prediction.
Pattern Recognit., 2021

A Comprehensive Survey on Transfer Learning.
Proc. IEEE, 2021

Knowledge graph embedding with shared latent semantic units.
Neural Networks, 2021

Hierarchical diagnosis of bearing faults using branch convolutional neural network considering noise interference and variable working conditions.
Knowl. Based Syst., 2021

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment.
CoRR, 2021

Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis.
CoRR, 2021

Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning.
CoRR, 2021

Adversarial Neural Trip Recommendation.
CoRR, 2021

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning.
CoRR, 2021

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Topic Modeling Revisited: A Document Graph-based Neural Network Perspective.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modeling Context-aware Features for Cognitive Diagnosis in Student Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Attentive Heterogeneous Graph Embedding for Job Mobility Prediction.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Talent Demand Forecasting with Attentive Neural Sequential Model.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Medical Entity Relation Verification with Large-scale Machine Reading Comprehension.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Representation Learning on Knowledge Graphs for Node Importance Estimation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

TMC 2021: 2021 International Workshop on Talent and Management Computing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Trend-aware Investment Target Recommendation System with Heterogeneous Graph.
Proceedings of the International Joint Conference on Neural Networks, 2021

Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Detecting Highlighted Video Clips Through Emotion-Enhanced Audio-Visual Cues.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Effectiveness of AI in Strategic Decision Making: An Empirical Study on Identifying High-Potential Talents.
Proceedings of the 42nd International Conference on Information Systems, 2021

Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance.
Proceedings of the IEEE International Conference on Data Mining, 2021

Description Generation for Points of Interest.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Transportation Recommendation with Fairness Consideration.
Proceedings of the Database Systems for Advanced Applications, 2021

An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Knowledge Powered Cooperative Semantic Fusion for Patent Classification.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Coupled Layer-wise Graph Convolution for Transportation Demand Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Out-of-Town Recommendation with Travel Intention Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Community-Aware Multi-Task Transportation Demand Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Matching of social events and users: a two-way selection perspective.
World Wide Web, 2020

An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment.
ACM Trans. Inf. Syst., 2020

Enhancing Employer Brand Evaluation with Collaborative Topic Regression Models.
ACM Trans. Inf. Syst., 2020

Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks.
IEEE Trans. Mob. Comput., 2020

An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization.
IEEE Trans. Knowl. Data Eng., 2020

Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback.
ACM Trans. Knowl. Discov. Data, 2020

Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach.
ACM Trans. Knowl. Discov. Data, 2020

Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation.
ACM Trans. Knowl. Discov. Data, 2020

Dancing with Trump in the Stock Market: A Deep Information Echoing Model.
ACM Trans. Intell. Syst. Technol., 2020

Multi-Modal Transportation Recommendation with Unified Route Representation Learning.
Proc. VLDB Endow., 2020

Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining.
J. Comput. Sci. Technol., 2020

You Are How You Behave - Spatiotemporal Representation Learning for College Student Academic Achievement.
J. Comput. Sci. Technol., 2020

Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning.
CoRR, 2020

Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction.
CoRR, 2020

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce.
CoRR, 2020

Learning Adaptive Embedding Considering Incremental Class.
CoRR, 2020

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification.
CoRR, 2020

A semi-supervised attention model for identifying authentic sneakers.
Big Data Min. Anal., 2020

Large-Scale Talent Flow Embedding for Company Competitive Analysis.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Personalized Employee Training Course Recommendation with Career Development Awareness.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Spatio-Temporal Dual Graph Attention Network for Query-POI Matching.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Dual Sequential Network for Temporal Sets Prediction.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Spatial Object Recommendation with Hints: When Spatial Granularity Matters.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Geodemographic Influence Maximization.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Predicting Temporal Sets with Deep Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Competitive Analysis for Points of Interest.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Why We Go Where We Go: Profiling User Decisions on Choosing POIs.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

T<sup>2</sup>-Net: A Semi-supervised Deep Model for Turbulence Forecasting.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Developing Fairness Rules for Talent Intelligence Management System.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Joint Intent Detection and Entity Linking on Spatial Domain Queries.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Message from the General Chairs of DSC 2020.
Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Time-aware metric embedding with asymmetric projection for successive POI recommendation.
World Wide Web, 2019

Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation.
IEEE Trans. Knowl. Data Eng., 2019

Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling.
IEEE Trans. Knowl. Data Eng., 2019

Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data.
IEEE Trans. Knowl. Data Eng., 2019

Detecting Pickpocket Suspects from Large-Scale Public Transit Records.
IEEE Trans. Knowl. Data Eng., 2019

An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications.
Scientometrics, 2019

NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks.
Neural Networks, 2019

Slanderous user detection with modified recurrent neural networks in recommender system.
Inf. Sci., 2019

Unsupervised EEG feature extraction based on echo state network.
Inf. Sci., 2019

Knowledge triple mining via multi-task learning.
Inf. Syst., 2019

Transit Pattern Detection Using Tensor Factorization.
INFORMS J. Comput., 2019

Exploiting intra-day patterns for market shock prediction: A machine learning approach.
Expert Syst. Appl., 2019

Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest.
CoRR, 2019

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control.
CoRR, 2019

Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation.
CoRR, 2019

Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model?
Proceedings of the World Wide Web Conference, 2019

Recurrent Convolutional Neural Network for Sequential Recommendation.
Proceedings of the World Wide Web Conference, 2019

Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Collaborative Learning Framework to Tag Refinement for Points of Interest.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multiple Relational Attention Network for Multi-task Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adversarial Substructured Representation Learning for Mobile User Profiling.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Comprehensive Semi-Supervised Multi-Modal Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Trend-Aware Tensor Factorization for Job Skill Demand Analysis.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Aftershock Detection with Multi-scale Description Based Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Hierarchical Demand Forecasting for Factory Production of Perishable Goods.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Exploiting the Contagious Effect for Employee Turnover Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Joint Representation Learning for Multi-Modal Transportation Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Mining Blackhole and Volcano Patterns for Fraud Detection.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning.
ACM Trans. Manag. Inf. Syst., 2018

Price Shock Detection With an Influence-Based Model of Social Attention.
ACM Trans. Manag. Inf. Syst., 2018

Paradoxical Correlation Pattern Mining.
IEEE Trans. Knowl. Data Eng., 2018

A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation.
IEEE Trans. Knowl. Data Eng., 2018

Personalized Air Travel Prediction: A Multi-factor Perspective.
ACM Trans. Intell. Syst. Technol., 2018

A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis.
ACM Trans. Intell. Syst. Technol., 2018

SmartTransfer: Modeling the Spatiotemporal Dynamics of Passenger Transfers for Crowdedness-Aware Route Recommendations.
ACM Trans. Intell. Syst. Technol., 2018

Which startup to invest in: a personalized portfolio strategy.
Ann. Oper. Res., 2018

Dynamic Word Embeddings for Evolving Semantic Discovery.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Intent-Aware Audience Targeting for Ride-Hailing Service.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Sequential Recommender System based on Hierarchical Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Representing Urban Functions through Zone Embedding with Human Mobility Patterns.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Joint Learning Approach to Intelligent Job Interview Assessment.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Integrated Model for Crime Prediction Using Temporal and Spatial Factors.
Proceedings of the IEEE International Conference on Data Mining, 2018

Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018

Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction.
Proceedings of the IEEE International Conference on Data Mining, 2018

Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach.
Proceedings of the IEEE International Conference on Data Mining, 2018

Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Discerning individual interests and shared interests for social user profiling.
World Wide Web, 2017

A Unified Framework for Metric Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2017

A Proactive Workflow Model for Healthcare Operation and Management.
IEEE Trans. Knowl. Data Eng., 2017

An Influence Propagation View of PageRank.
ACM Trans. Knowl. Discov. Data, 2017

Modeling Buying Motives for Personalized Product Bundle Recommendation.
ACM Trans. Knowl. Discov. Data, 2017

Fast affinity propagation clustering based on incomplete similarity matrix.
Knowl. Inf. Syst., 2017

Intelligent bus routing with heterogeneous human mobility patterns.
Knowl. Inf. Syst., 2017

Efficient karaoke song recommendation via multiple kernel learning approximation.
Neurocomputing, 2017

Discovery of Evolving Semantics through Dynamic Word Embedding Learning.
CoRR, 2017

Learning to Recommend Accurate and Diverse Items.
Proceedings of the 26th International Conference on World Wide Web, 2017

Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Discovery of Jump Breaks in Joint Volatility for Volume and Price of High-Frequency Trading Data in China.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Data-driven Process Recommender Framework.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Point-of-Interest Demand Modeling with Human Mobility Patterns.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Prospecting the Career Development of Talents: A Survival Analysis Perspective.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

REMIX: Automated Exploration for Interactive Outlier Detection.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Exploiting Hierarchical Structures for POI Recommendation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

An Automatic Approach for Transit Advertising in Public Transportation Systems.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Warehouse Site Selection for Online Retailers in Inter-Connected Warehouse Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Forecasting the rise and fall of volatile point-of-interests.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Collaborative Company Profiling: Insights from an Employee's Perspective.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps.
IEEE Trans. Mob. Comput., 2016

Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization.
IEEE Trans. Knowl. Data Eng., 2016

Structural Analysis of User Choices for Mobile App Recommendation.
ACM Trans. Knowl. Discov. Data, 2016

Modeling of Geographic Dependencies for Real Estate Ranking.
ACM Trans. Knowl. Discov. Data, 2016

Tracking the evolution of social emotions with topic models.
Knowl. Inf. Syst., 2016

SocoTraveler: Travel-package recommendations leveraging social influence of different relationship types.
Inf. Manag., 2016

Instance-based credit risk assessment for investment decisions in P2P lending.
Eur. J. Oper. Res., 2016

Fused latent models for assessing product return propensity in online commerce.
Decis. Support Syst., 2016

Special Issue Editorial.
Data Sci. Eng., 2016

Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling.
CoRR, 2016

The Impact of Community Safety on House Ranking.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Topic Modeling of Short Texts: A Pseudo-Document View.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Recruitment Market Trend Analysis with Sequential Latent Variable Models.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Days on Market: Measuring Liquidity in Real Estate Markets.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Talent Circle Detection in Job Transition Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Data-driven Automatic Treatment Regimen Development and Recommendation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Unified Point-of-Interest Recommendation with Temporal Interval Assessment.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

To be or Not to be Friends: Exploiting Social Ties for Venture Investments.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

POI Recommendation: A Temporal Matching between POI Popularity and User Regularity.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Characterizing the life cycle of point of interests using human mobility patterns.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Ensemble of Anchor Adapters for Transfer Learning.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Buyer targeting optimization: A unified customer segmentation perspective.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Locating targets through mention in Twitter.
World Wide Web, 2015

An Adaptive Framework Coping with Dynamic Target Speed for Device-Free Passive Localization.
IEEE Trans. Mob. Comput., 2015

Discovery of Ranking Fraud for Mobile Apps.
IEEE Trans. Knowl. Data Eng., 2015

Discovering Urban Functional ZonesUsing Latent Activity Trajectories.
IEEE Trans. Knowl. Data Eng., 2015

K-Means-Based Consensus Clustering: A Unified View.
IEEE Trans. Knowl. Data Eng., 2015

A General Geographical Probabilistic Factor Model for Point of Interest Recommendation.
IEEE Trans. Knowl. Data Eng., 2015

Occupancy-Based Frequent Pattern Mining<sup>*</sup>.
ACM Trans. Knowl. Discov. Data, 2015

Popularity Modeling for Mobile Apps: A Sequential Approach.
IEEE Trans. Cybern., 2015

Remix in 3D Printing: What your Sources say About You.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Multi-source Information Fusion for Personalized Restaurant Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Convex Matrix Completion: A Trace-Ball Optimization Perspective.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Exploring the Impact of Dynamic Mutual Influence on Social Event Participation.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Real Estate Ranking via Mixed Land-use Latent Models.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Learning Career Mobility and Human Activity Patterns for Job Change Analysis.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

The Impact of Patent Activities on Stock Dynamics in the High-Tech Sector.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mining Indecisiveness in Customer Behaviors.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Station Site Optimization in Bike Sharing Systems.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Discovery of College Students in Financial Hardship.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Discovery System for Finding High-Value Homes.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Understanding and modelling information dissemination patterns in vehicle-to-vehicle networks.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

2014
Mining Blackhole and Volcano Patterns for Fraud Detection.
Encyclopedia of Social Network Analysis and Mining, 2014

Ranking user authority with relevant knowledge categories for expert finding.
World Wide Web, 2014

Topic formation and development: a core-group evolving process.
World Wide Web, 2014

Cost-Aware Collaborative Filtering for Travel Tour Recommendations.
ACM Trans. Inf. Syst., 2014

Mobile App Classification with Enriched Contextual Information.
IEEE Trans. Mob. Comput., 2014

A Cocktail Approach for Travel Package Recommendation.
IEEE Trans. Knowl. Data Eng., 2014

Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach.
ACM Trans. Knowl. Discov. Data, 2014

Mining Mobile User Preferences for Personalized Context-Aware Recommendation.
ACM Trans. Intell. Syst. Technol., 2014

Object-Oriented Travel Package Recommendation.
ACM Trans. Intell. Syst. Technol., 2014

Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification.
IEEE Trans. Cybern., 2014

Learning to annotate via social interaction analytics.
Knowl. Inf. Syst., 2014

High-dimensional clustering: a clique-based hypergraph partitioning framework.
Knowl. Inf. Syst., 2014

User Preference Learning with Multiple Information Fusion for Restaurant Recommendation.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Finding Well-Clusterable Subspaces for High Dimensional Data - A Numerical One-Dimension Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Mobile app recommendations with security and privacy awareness.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A cost-effective recommender system for taxi drivers.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Temporal skeletonization on sequential data: patterns, categorization, and visualization.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Proactive workflow modeling by stochastic processes with application to healthcare operation and management.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Sequential Pattern Analysis with Right Granularity.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Technology Prospecting for High Tech Companies through Patent Mining.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Multi-task Multi-view Learning for Heterogeneous Tasks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Predicting the Popularity of Online Serials with Autoregressive Models.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining.
IEEE Trans. Knowl. Data Eng., 2013

Ranking Metric Anomaly in Invariant Networks.
ACM Trans. Knowl. Discov. Data, 2013

Introduction to special section on intelligent mobile knowledge discovery and management systems.
ACM Trans. Intell. Syst. Technol., 2013

Understanding and Enhancement of Internal Clustering Validation Measures.
IEEE Trans. Cybern., 2013

SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering.
IEEE Trans. Cybern., 2013

A Survey of Context-Aware Mobile Recommendations.
Int. J. Inf. Technol. Decis. Mak., 2013

Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Learning geographical preferences for point-of-interest recommendation.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

PageRank with Priors: An Influence Propagation Perspective.
Proceedings of the IJCAI 2013, 2013

A Theoretic Framework of K-Means-Based Consensus Clustering.
Proceedings of the IJCAI 2013, 2013

Ranking fraud detection for mobile apps: a holistic view.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Modeling heterogeneous time series dynamics to profile big sensor data in complex physical systems.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Adapting the Right Measures for Pattern Discovery: A Unified View.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Semantics-Based Automated Service Discovery.
IEEE Trans. Serv. Comput., 2012

Detecting and Tracking Topics and Events from Web Search Logs.
ACM Trans. Inf. Syst., 2012

Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification".
IEEE Trans. Knowl. Data Eng., 2012

Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification.
IEEE Trans. Knowl. Data Eng., 2012

On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach.
IEEE Trans. Knowl. Data Eng., 2012

A Generalization of Distance Functions for Fuzzy c -Means Clustering With Centroids of Arithmetic Means.
IEEE Trans. Fuzzy Syst., 2012

Information propagation in online social networks: a tie-strength perspective.
Knowl. Inf. Syst., 2012

An unsupervised approach to modeling personalized contexts of mobile users.
Knowl. Inf. Syst., 2012

Stochastic Unsupervised Learning on Unlabeled Data.
Proceedings of the Unsupervised and Transfer Learning, 2012

Distance metrics for high dimensional nearest neighborhood recovery: Compression and normalization.
Inf. Sci., 2012

Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning.
Neurocomputing, 2012

Mining blackhole and volcano patterns in directed graphs: a general approach.
Data Min. Knowl. Discov., 2012

A Linear Circuit Model For Social Influence
CoRR, 2012

A Social Influence Model Based On Circuit Theory
CoRR, 2012

Link Graph Analysis for Business Site Selection.
Computer, 2012

Which Distance Metric is Right: An Evolutionary K-Means View.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Influential seed items recommendation.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

BP-growth: Searching Strategies for Efficient Behavior Pattern Mining.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Mining Personal Context-Aware Preferences for Mobile Users.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Exploiting enriched contextual information for mobile app classification.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Multifocal learning for customer problem analysis.
ACM Trans. Intell. Syst. Technol., 2011

Exploiting associations between word clusters and document classes for cross-domain text categorization.
Stat. Anal. Data Min., 2011

Checkpoint evolution for volatile correlation computing.
Mach. Learn., 2011

Special issue on "context-aware data mining (CADM)".
Knowl. Inf. Syst., 2011

Exploiting probabilistic topic models to improve text categorization under class imbalance.
Inf. Process. Manag., 2011

A semantic term weighting scheme for text categorization.
Expert Syst. Appl., 2011

Scaling up top-K cosine similarity search.
Data Knowl. Eng., 2011

On multi-type reverse nearest neighbor search.
Data Knowl. Eng., 2011

Collaborative filtering with collective training.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Enhancing investment decisions in P2P lending: an investor composition perspective.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Cost-aware travel tour recommendation.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A taxi business intelligence system.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Personalized Travel Package Recommendation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Taxi Driving Fraud Detection System.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Towards expert finding by leveraging relevant categories in authority ranking.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Achieving Guaranteed Anonymity in GPS Traces via Uncertainty-Aware Path Cloaking.
IEEE Trans. Mob. Comput., 2010

Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective.
IEEE Trans. Knowl. Data Eng., 2010

Validation of overlapping clustering: A random clustering perspective.
Inf. Sci., 2010

High-dimensional kNN joins with incremental updates.
GeoInformatica, 2010

COG: local decomposition for rare class analysis.
Data Min. Knowl. Discov., 2010

Detecting Blackholes and Volcanoes in Directed Networks
CoRR, 2010

An energy-efficient mobile recommender system.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Direction clustering for characterizing movement patterns.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

Performing Joint Learning for Passive Intrusion Detection in Pervasive Wireless Environments.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Understanding of Internal Clustering Validation Measures.
Proceedings of the ICDM 2010, 2010

Detecting Blackhole and Volcano Patterns in Directed Networks.
Proceedings of the ICDM 2010, 2010

An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users.
Proceedings of the ICDM 2010, 2010

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Exploiting user interests for collaborative filtering: interests expansion via personalized ranking.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Top-Eye: top-k evolving trajectory outlier detection.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Pattern Preserving Clustering.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A Data Distribution View of Clustering Algorithms.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

K-Means Clustering Versus Validation Measures: A Data-Distribution Perspective.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization.
IEEE Trans. Knowl. Data Eng., 2009

Characterizing pattern preserving clustering.
Knowl. Inf. Syst., 2009

Object discovery in high-resolution remote sensing images: a semantic perspective.
Knowl. Inf. Syst., 2009

Towards understanding hierarchical clustering: A data distribution perspective.
Neurocomputing, 2009

External validation measures for K-means clustering: A data distribution perspective.
Expert Syst. Appl., 2009

Towards controlling virus propagation in information systems with point-to-group information sharing.
Decis. Support Syst., 2009

Mining globally distributed frequent subgraphs in a single labeled graph.
Data Knowl. Eng., 2009

Adapting the right measures for K-means clustering.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Multi-focal learning and its application to customer service support.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Efficient Discovery of Confounders in Large Data Sets.
Proceedings of the ICDM 2009, 2009

Multi-type nearest neighbor queries in road networks with time window constraints.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

Three Approximation Algorithms for Energy-Efficient Query Dissemination in Sensor Database System.
Proceedings of the Database and Expert Systems Applications, 20th International Conference, 2009

What's behind topic formation and development: a perspective of community core groups.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Enhancing recommender systems under volatile userinterest drifts.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Discovery of maximum length frequent itemsets.
Inf. Sci., 2008

Top-k Correlation Computation.
INFORMS J. Comput., 2008

Co-Clustering Bipartite with Pattern Preservation for Topic Extraction.
Int. J. Artif. Intell. Tools, 2008

Adaptive label-driven scaling for latent semantic indexing.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Hypergraph partitioning for document clustering: a unified clique perspective.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented Initialization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Volatile correlation computation: a checkpoint view.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

SAIL: summation-based incremental learning for information-theoretic clustering.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Genetic-guided semi-supervised clustering algorithm with instance-level constraints.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Data clustering using virtual population based incremental learning algorithm with similarity matrix encoding strategy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Secure information sharing and analysis for effective emergency management.
Proceedings of the 9th Annual International Conference on Digital Government Research, 2008

Transfer learning from multiple source domains via consensus regularization.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
On the strength of hyperclique patterns for text categorization.
Inf. Sci., 2007

Mining maximal hyperclique pattern: A hybrid search strategy.
Inf. Sci., 2007

Co-Preserving Patterns in Bipartite Partitioning for Topic Identification.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Local decomposition for rare class analysis.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Enhancing semi-supervised clustering: a feature projection perspective.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Distributed classification in peer-to-peer networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

The minimum consistent subset cover problem and its applications in data mining.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

An Adaptive Semantic Filter for Blue Gene/L Failure Log Analysis.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

A Generalization of Proximity Functions for K-Means.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Failure Prediction in IBM BlueGene/L Event Logs.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Preserving privacy in gps traces via uncertainty-aware path cloaking.
Proceedings of the 2007 ACM Conference on Computer and Communications Security, 2007

2006
Privacy leakage in multi-relational databases: a semi-supervised learning perspective.
VLDB J., 2006

TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases.
IEEE Trans. Knowl. Data Eng., 2006

Enhancing Data Analysis with Noise Removal.
IEEE Trans. Knowl. Data Eng., 2006

Enhancing Security and Privacy in Traffic-Monitoring Systems.
IEEE Pervasive Comput., 2006

Privacy preservation for data cubes.
Knowl. Inf. Syst., 2006

A cubic-wise balance approach for privacy preservation in data cubes.
Inf. Sci., 2006

Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques.
Int. J. Data Min. Bioinform., 2006

Mining Co-Location Patterns with Rare Events from Spatial Data Sets.
GeoInformatica, 2006

Hyperclique pattern discovery.
Data Min. Knowl. Discov., 2006

Web Service Discovery via Semantic Association Ranking and Hyperclique Pattern Discovery.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Enhancing Privacy Preservation of Anonymous Location Sampling Techniques in Traffic Monitoring Systems.
Proceedings of the Second International Conference on Security and Privacy in Communication Networks and the Workshops, 2006

Scan Detection: A Data Mining Approach.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Mining Quantitative Maximal Hyperclique Patterns: A Summary of Results.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Exploiting a page-level upper bound for multi-type nearest neighbor queries.
Proceedings of the 14th ACM International Symposium on Geographic Information Systems, 2006

Adapting association patterns for text categorization: weaknesses and enhancements.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition.
IEEE Trans. Knowl. Data Eng., 2005

Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery.
Proceedings of the Biocomputing 2005, 2005

Privacy leakage in multi-relational databases via pattern based semi-supervised learning.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004
Discovering Colocation Patterns from Spatial Data Sets: A General Approach.
IEEE Trans. Knowl. Data Eng., 2004

HICAP: Hierarchical Clustering with Pattern Preservation.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Generalizing the notion of support.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

A Hybrid Approach for Mining Maixmal Hyperclique Patterns.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Data Declustering with Replications.
Proceedings of the Database Systems for Advances Applications, 2004

2003
Mining Confident Colocation Rules without A Support Threshold.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

A New Clustering Algorithm for Transaction Data via Caucus.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2000
Adapting the right web pages to the right users.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2000


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