Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.

[BibT_eX]

[DOI]

Yuanshao Zhu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Retention through Generative Flow Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Scalable Dynamic Embedding Size Search for Streaming Recommendation.

[BibT_eX]

[DOI]

Quoc Viet Hung Nguyen

Hongzhi Yin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Efficient and Robust Regularized Federated Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training.

[BibT_eX]

[DOI]

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

IterClean: An Iterative Data Cleaning Framework with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning.

[BibT_eX]

[DOI]

Inf. Sci., November, 2023

Interaction-aware Drug Package Recommendation via Policy Gradient.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., January, 2023

Large Language Models for Generative Information Extraction: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM.

[BibT_eX]

[DOI]

CoRR, 2023

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup.

[BibT_eX]

[DOI]

CoRR, 2023

E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

On the Opportunities of Green Computing: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Batch Inverse Reinforcement Learning: Learn to Reward from Imperfect Demonstration for Interactive Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

A General Neural Causal Model for Interactive Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Embedding in Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Traffic Prediction with Learnable Filter Module.

[BibT_eX]

[DOI]

CoRR, 2023

Automatic Data Repair: Are We Ready to Deploy?

[BibT_eX]

[DOI]

CoRR, 2023

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

OpenSiteRec: An Open Dataset for Site Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Tensorized Hypergraph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

IFedRec: Item-Guided Federated Aggregation for Cold-Start.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Model for GPS Trajectory Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Task Deep Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

User Retention-oriented Recommendation with Decision Transformer.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Multi-Task Recommendations with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

AutoDenoise: Automatic Data Instance Denoising for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

AutoMLP: Automated MLP for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

IMF: Interactive Multimodal Fusion Model for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Tutorials at The Web Conference 2023.

[BibT_eX]

[DOI]

Krishnaram Kenthapadi

Behrooz Omidvar-Tehrani

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Denoising and Prompt-Tuning for Multi-Behavior Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Exploration and Regularization of the Latent Action Space in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AutoML for Deep Recommender Systems: Fundamentals and Advances.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Single-shot Feature Selection for Multi-task Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Continuous Input Embedding Size Search For Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Robust Knowledge Tracing Models via k-Sparse Attention.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoTransfer: Instance Transfer for Cross-Domain Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

STRec: Sparse Transformer for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Doctor Specific Tag Recommendation for Online Medical Record Management.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Trustworthy Recommender Systems: Foundations and Frontiers.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners.

[BibT_eX]

[DOI]

Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MLPST: MLP is All You Need for Spatio-Temporal Prediction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Counterfactual Adversarial Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Diffusion Augmentation for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

HAMUR: Hyper Adapter for Multi-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoSTL: Automated Spatio-Temporal Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Comprehensive Survey on Trustworthy Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Automated Machine Learning for Deep Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AutoField: Automating Feature Selection in Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Rating Distribution Calibration for Selection Bias Mitigation in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

[BibT_eX]

[DOI]

Giovanni Da San Martino

Srinivasan H. Sengamedu

Chandan K. Reddy

Friedhelm Victor

Bernhard Haslhofer

George Katsogiannis-Meimarakis

Vidhisha Balachandran

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Graph Trend Filtering Networks for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DDR: Dialogue Based Doctor Recommendation for Online Medical Service.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AdaFS: Adaptive Feature Selection in Deep Recommender System.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Knowledge-enhanced Black-box Attacks for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Automated Self-Supervised Learning for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

MAE4Rec: Storage-saving Transformer for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-Type Urban Crime Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Progressive Cellular Architecture in Microscale Gas Chromatography for Broad Chemical Analyses.

[BibT_eX]

[DOI]

Yogesh B. Gianchandani

Sensors, 2021

Graph Trend Networks for Recommendations.

[BibT_eX]

[DOI]

CoRR, 2021

Data-Efficient Reinforcement Learning for Malaria Control.

[BibT_eX]

[DOI]

CoRR, 2021

UserSim: User Simulation via Supervised GenerativeAdversarial Network.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Long-term Fairness in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AutoLoss: Automated Loss Function Search in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Attacking Black-box Recommendations via Copying Cross-domain User Profiles.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Memory-efficient Embedding for Recommendations.

[BibT_eX]

[DOI]

CoRR, 2020

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.

[BibT_eX]

[DOI]

CoRR, 2020

Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction.

[BibT_eX]

[DOI]

Xiangyu Zhao

Jiliang Tang

CoRR, 2020

Neural Interactive Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Automated Embedding Size Search in Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Jointly Learning to Recommend and Advertise.

[BibT_eX]

[DOI]

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

Whole-Chain Recommendations.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Deep reinforcement learning for search, recommendation, and online advertising: a survey.

[BibT_eX]

[DOI]

SIGWEB Newsl., 2019

Deep Reinforcement Learning for Online Advertising in Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Toward Simulating Environments in Reinforcement Learning Based Recommendations.

[BibT_eX]

[DOI]

CoRR, 2019

Model-Based Reinforcement Learning for Whole-Chain Recommendations.

[BibT_eX]

[DOI]

CoRR, 2019

Automatic Peak Integration and Baseline Correction for Micro-scale Gas Chromatographs Using Continuous Wavelet Transform.

[BibT_eX]

[DOI]

Xiangyu Zhao

Yutao Qin

Yogesh B. Gianchandani

Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

2018

Crime in Urban Areas: : A Data Mining Perspective.

[BibT_eX]

[DOI]

Xiangyu Zhao

Jiliang Tang

SIGKDD Explor., 2018

Reinforcement Learning for Online Information Seeking.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Reinforcement Learning for List-wise Recommendations.

[BibT_eX]

[DOI]

CoRR, 2018

Deep reinforcement learning for page-wise recommendations.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Incorporating Spatio-Temporal Smoothness for Air Quality Inference.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Exploring Transfer Learning for Crime Prediction.

[BibT_eX]

[DOI]

Xiangyu Zhao

Jiliang Tang

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Modeling Temporal-Spatial Correlations for Crime Prediction.

[BibT_eX]

[DOI]

Xiangyu Zhao

Jiliang Tang

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2016

Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Exploring the Choice Under Conflict for Social Event Participation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2016

Xiangyu Zhao

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