Hui Xiong
Orcid: 0000-0001-6016-6465Affiliations:
- 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.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
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
Int. J. Comput. Vis., December, 2024
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment.
IEEE Trans. Knowl. Data Eng., November, 2024
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
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
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
IEEE Trans. Smart Grid, July, 2024
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
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
IEEE Trans. Inf. Forensics Secur., 2024
IEEE Trans. Geosci. Remote. Sens., 2024
Pattern Recognit., 2024
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
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting.
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
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
CoRR, 2024
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network.
CoRR, 2024
Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension.
CoRR, 2024
CoRR, 2024
Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis.
CoRR, 2024
CoRR, 2024
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.
CoRR, 2024
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load.
CoRR, 2024
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
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
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
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
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
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
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
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
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
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
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
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
IEEE Trans. Knowl. Data Eng., December, 2023
IEEE Trans. Knowl. Data Eng., December, 2023
ACM Trans. Intell. Syst. Technol., December, 2023
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
IEEE Trans. Knowl. Data Eng., September, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
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
IEEE Trans. Knowl. Data Eng., June, 2023
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
IEEE Trans. Big Data, June, 2023
IEEE Trans. Knowl. Data Eng., May, 2023
IEEE Trans. Knowl. Data Eng., May, 2023
Int. J. Comput. Vis., May, 2023
Artif. Intell., May, 2023
IEEE Trans. Knowl. Data Eng., April, 2023
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
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
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation.
IEEE Trans. Knowl. Data Eng., March, 2023
IEEE Trans. Knowl. Data Eng., March, 2023
IEEE Trans. Big Data, February, 2023
IEEE Trans. Knowl. Data Eng., 2023
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
INFORMS J. Comput., 2023
INFORMS J. Comput., 2023
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
Expert Syst. Appl., 2023
CoRR, 2023
CoRR, 2023
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
CoRR, 2023
CoRR, 2023
Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback.
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
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
Proceedings of the Knowledge Science, Engineering and Management, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
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
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
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
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
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
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
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
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
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
IEEE Trans. Knowl. Data Eng., 2022
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
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
ACM Trans. Knowl. Discov. Data, 2022
ACM Trans. Knowl. Discov. Data, 2022
ACM Trans. Knowl. Discov. Data, 2022
ACM Trans. Intell. Syst. Technol., 2022
Correction to: An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications.
Scientometrics, 2022
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
INFORMS J. Comput., 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
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
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
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
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
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
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
IEEE Trans. Neural Networks Learn. Syst., 2021
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
IEEE Trans. Knowl. Data Eng., 2021
Pattern Recognit., 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
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021
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
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
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
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
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
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
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
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
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
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
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
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
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
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
World Wide Web, 2020
ACM Trans. Inf. Syst., 2020
ACM Trans. Inf. Syst., 2020
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
ACM Trans. Knowl. Discov. Data, 2020
ACM Trans. Knowl. Discov. Data, 2020
ACM Trans. Intell. Syst. Technol., 2020
Multi-Modal Transportation Recommendation with Unified Route Representation Learning.
Proc. VLDB Endow., 2020
J. Comput. Sci. Technol., 2020
You Are How You Behave - Spatiotemporal Representation Learning for College Student Academic Achievement.
J. Comput. Sci. Technol., 2020
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction.
CoRR, 2020
CoRR, 2020
Big Data Min. Anal., 2020
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
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
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
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
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
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
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
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
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 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
IEEE Trans. Knowl. Data Eng., 2019
IEEE Trans. Knowl. Data Eng., 2019
Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data.
IEEE Trans. Knowl. Data Eng., 2019
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
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
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
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
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
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
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
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
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
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
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
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
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
ACM Trans. Manag. Inf. Syst., 2018
A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation.
IEEE Trans. Knowl. Data Eng., 2018
ACM Trans. Intell. Syst. Technol., 2018
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
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
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
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
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
World Wide Web, 2017
IEEE Trans. Knowl. Data Eng., 2017
ACM Trans. Knowl. Discov. Data, 2017
Knowl. Inf. Syst., 2017
Knowl. Inf. Syst., 2017
Neurocomputing, 2017
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
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
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
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
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
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
ACM Trans. Knowl. Discov. Data, 2016
ACM Trans. Knowl. Discov. Data, 2016
SocoTraveler: Travel-package recommendations leveraging social influence of different relationship types.
Inf. Manag., 2016
Eur. J. Oper. Res., 2016
Decis. Support Syst., 2016
Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling.
CoRR, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
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
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
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
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
An Adaptive Framework Coping with Dynamic Target Speed for Device-Free Passive Localization.
IEEE Trans. Mob. Comput., 2015
IEEE Trans. Knowl. Data Eng., 2015
IEEE Trans. Knowl. Data Eng., 2015
A General Geographical Probabilistic Factor Model for Point of Interest Recommendation.
IEEE Trans. Knowl. Data Eng., 2015
ACM Trans. Knowl. Discov. Data, 2015
IEEE Trans. Cybern., 2015
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
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
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
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
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
Encyclopedia of Social Network Analysis and Mining, 2014
World Wide Web, 2014
ACM Trans. Inf. Syst., 2014
IEEE Trans. Mob. Comput., 2014
IEEE Trans. Knowl. Data Eng., 2014
Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach.
ACM Trans. Knowl. Discov. Data, 2014
ACM Trans. Intell. Syst. Technol., 2014
ACM Trans. Intell. Syst. Technol., 2014
Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification.
IEEE Trans. Cybern., 2014
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
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
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
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
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
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
Introduction to special section on intelligent mobile knowledge discovery and management systems.
ACM Trans. Intell. Syst. Technol., 2013
IEEE Trans. Cybern., 2013
SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering.
IEEE Trans. Cybern., 2013
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
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the IJCAI 2013, 2013
Proceedings of the IJCAI 2013, 2013
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
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
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
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
Knowl. Inf. Syst., 2012
Knowl. Inf. Syst., 2012
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
Data Min. Knowl. Discov., 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
ACM Trans. Intell. Syst. Technol., 2011
Exploiting associations between word clusters and document classes for cross-domain text categorization.
Stat. Anal. Data Min., 2011
Exploiting probabilistic topic models to improve text categorization under class imbalance.
Inf. Process. Manag., 2011
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
IEEE Trans. Mob. Comput., 2010
IEEE Trans. Knowl. Data Eng., 2010
Inf. Sci., 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
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
Proceedings of the ICDM 2010, 2010
Proceedings of the ICDM 2010, 2010
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
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
IEEE Trans. Syst. Man Cybern. Part B, 2009
Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization.
IEEE Trans. Knowl. Data Eng., 2009
Knowl. Inf. Syst., 2009
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
Data Knowl. Eng., 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the ICDM 2009, 2009
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
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Int. J. Artif. Intell. Tools, 2008
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008
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
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
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
Proceedings of the 9th Annual International Conference on Digital Government Research, 2008
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
2007
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
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
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
IEEE Pervasive Comput., 2006
Inf. Sci., 2006
Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques.
Int. J. Data Min. Bioinform., 2006
GeoInformatica, 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
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the 14th ACM International Symposium on Geographic Information Systems, 2006
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006
2005
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
IEEE Trans. Knowl. Data Eng., 2004
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
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004
Proceedings of the Database Systems for Advances Applications, 2004
2003
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003
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
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2000