Publications

(* indicates the student/intern I supervised)

[TRC] A Macro-Micro Spatio-Temporal Neural Network for Traffic Prediction

Transportation Research Part C, 2023.

PDF Project Project DOI

[CIKM'23] MLPST: MLP is All You Need for Spatio-Temporal Prediction

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

PDF Project Article

[CIKM'23] DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model

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

PDF Project Article

[InfSci] HiSTGNN: Hierarchical Spatio-Temporal Graph Neural Network for Weather Forecasting

Information Sciences, 2023.

PDF Project DOI

[AI] AutoSTG+: An Automatic Framework to Discover the Optimal Network for Spatio-temporal Graph Prediction

Artificial Intelligence, 2023.

PDF Cite Project DOI Article

[arXiv] Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

arXiv preprint arXiv:2303.14483 2023.

Cite Article

[TKDE] Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction

IEEE Transactions on Knowledge and Data Engineering, 2023.

PDF Cite Project DOI Article

[AAAI'23] Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

Proceedings of The 37th AAAI Conference on Artificial Intelligence, 2023.

PDF DOI STDL UrbanFlow Code Dataset

[AAAI'23] Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation

Proceedings of The 37th AAAI Conference on Artificial Intelligence, 2023.

PDF Cite DOI

[AAAI'23] AutoSTL: Automated Spatio-Temporal Multi-Task Learning

Proceedings of The 37th AAAI Conference on Artificial Intelligence, 2023.

PDF Project DOI

[AAAI'23] AirFormer: Predicting Nationwide Air Quality in China with Transformers

Proceedings of The 37th AAAI Conference on Artificial Intelligence, 2023.

PDF Code Project DOI

[KBS] Housing Rental Suggestion Based on E-commerce Data

Knowledge-Based Systems, 2023.

PDF Project DOI

[TKDE] Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting

IEEE Transactions on Knowledge and Data Engineering, 2022.

PDF Cite Project DOI Article

[CIKM'22] TrajFormer: Efficient Trajectory Classification with Transformers

Proceedings of The 31st ACM International Conference on Information and Knowledge Management, 2022.

PDF Cite Project Article

[CIKM'22] Generative-Free Urban Flow Imputation

Proceedings of The 31st ACM International Conference on Information and Knowledge Management, 2022.

PDF Cite STDL UrbanFlow Article

[KDD'22] Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning

Proceedings of The 28th ACM SIGKDD international conference on Knowledge Discovery and Data Mining, 2022.

PDF Cite Project Article

[DeepSpatial'22] EAST: An Enhanced Automated Machine Learning Library for Spatio-Temporal Forecasting

In The 3rd ACM SIGKDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems, 2022.

PDF Cite Project

[KDD'22] DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

PDF Cite Project

[TKDE] Forecasting Fine-grained Urban Flow via Spatio-temporal Contrastive Self-Supervision

IEEE Transactions on Knowledge and Data Engineering, 2022.

PDF Cite Project DOI Article

[DASFAA'22] Multi-Memory enhanced Separation Network for Indoor Temperature Prediction

Proceedings of The 27th International Conference on Database Systems for Advanced Applications.

PDF Project

[TKDE] Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning

IEEE Transactions on Knowledge and Data Engineering, 2022.

PDF Cite DOI Article

[TKDE] Fine-grained Urban Flow Inference with Incomplete Data

IEEE Transactions on Knowledge and Data Engineering, 2022.

PDF Cite Project DOI Article

[TKDE] Cross-domain knowledge graph chiasmal embedding for multi-domain item-item recommendation

IEEE Transactions on Knowledge and Data Engineering, 2022.

PDF Cite DOI Article

[InfSci] Fairness and accuracy in horizontal federated learning

Information Sciences, 2022.

PDF

[TKDE] Urban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embedding

IEEE Transactions on Knowledge and Data Engineering, 2021.

PDF Cite DOI

[TKDE] TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System

IEEE Transactions on Knowledge and Data Engineering, 2021.

PDF Cite DOI

[TKDE] Gas-Theft Suspect Detection among Boiler Room Users: A Data-Driven Approach

IEEE Transactions on Knowledge and Data Engineering, 2021.

PDF Cite DOI

[WWW'21] Fine-grained Urban Flow Prediction

Proceedings of The Web Conference 2021 (WWW'21).

PDF Project Project

[WWW'21] AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph

Proceedings of The Web Conference 2021 (WWW'21).

PDF Cite Code Project

[AAAI'21] Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

In Proceedings of the 35th AAAI Conference.

PDF Project DOI

[TBD] Predicting Fine-Grained Air Quality Based on Deep Neural Networks

IEEE Transactions on Big Data, 2020.

PDF Cite DOI Article

[IEEE IntSys] Federated Digital Gateway: Methodologies, Tools and Applications

IEEE Intelligent Systems, 2020.

Cite DOI Article

[CIKM'20] You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users

In Proceedings of The 29th ACM International Conference on Information and Knowledge Management.

PDF

[TKDE] Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

IEEE Transactions on Knowledge and Data Engineering, 2020.

PDF Cite Project Project DOI Article

[ECML-PKDD'20] Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics

In Proceedings of ECML-PKDD 2020.

PDF Code Project Project

[KDD'20] AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction

In Proceedings of The 26th ACM SIGKDD international conference on Knowledge Discovery and Data Mining, 2020.

PDF Cite Project

[TKDE] Spatio-Temporal Meta Learning for Urban Traffic Prediction

IEEE Transactions on Knowledge and Data Engineering, 2020.

PDF Cite Project DOI

[TBD] Federated Forest

IEEE Transactions on Big Data, 2020.

PDF Cite DOI

[InfFus] Predicting and ranking box office revenue of movies based on big data

Information Fusion, 2020.

PDF Cite DOI

[InfFus] Urban flow prediction from spatiotemporal data using machine learning: A survey

Information Fusion, 2020.

PDF Cite Project Project DOI Article

[UbiComp'19] CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach

In Proceedings of The 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing.

PDF Project

[CIKM'19] Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction

In Proceedings of The 28th ACM International Conference on Information and Knowledge Management.

PDF Code Project Project

[CIKM'19] CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach

In Proceedings of The 28th ACM International Conference on Information and Knowledge Management.

PDF Project Project

[KDD'19] UrbanFM: Inferring Fine-Grained Urban Flows

In Proceedings of The 25th ACM SIGKDD international conference on Knowledge Discovery and Data Mining.

PDF Code Dataset Project Project Video

[KDD'19] Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning

In Proceedings of The 25th ACM SIGKDD international conference on Knowledge Discovery and Data Mining.

PDF Cite Code Dataset Project Project Video Ranked 12 in KDD 2019

[ACL'19] DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

In Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics.

PDF

[TKDE] Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

IEEE Transactions on Knowledge and Data Engineering, 2020.

PDF Cite Project Project DOI

[CIKM'18] DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction

In Proceedings of The 27th ACM International Conference on Information and Knowledge Management.

PDF Project

[KDD'18] Deep Distributed Fusion Network for Air Quality Prediction

In Proceedings of The 24th ACM SIGKDD international conference on Knowledge Discovery and Data Mining.

PDF Cite Project Video

[IJCAI'18] GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction

In Proceedings of The 27th International Joint Conference on Artificial Intelligence.

PDF Cite Code Project Ranked 15th in IJCAI 2018

[AI] Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks

Artificial Intelligence, 2018.

PDF Cite Project Project DOI Article

[AAAI'18] When Will You Arrive Estimating Travel Time Based on Deep Neural Networks

In Proceedings of Thirty-Second AAAI Conference on Artificial Intelligence.

PDF Project DOI

[AAAI'17] Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

Proceedings of The 31st AAAI Conference on Artificial Intelligence.

PDF Cite Code Dataset Project Project DOI Ranked 4th in AAAI 2017

[SIGSPATIAL'16] DNN-Based Prediction Model for Spatial-Temporal Data

In Proceedings of The 24th ACM International Conference on Advances in Geographical Information Systems.

PDF Code Dataset Project

[InfSci] Efficient parallel boolean matrix based algorithms for computing composite rough set approximations

Information Sciences, 2016.

PDF

[TKDE] A Parallel Matrix-based Method for Computing Approximations in Incomplete Information Systems

IEEE Transactions on Knowledge and Data Engineering, 2015.

PDF

[KDD'14] Supervised Deep Learning with Auxiliary Networks

In Proceedings of The 20th ACM SIGKDD international conference on Knowledge Discovery and Data Mining, 2014.

PDF

[InfSci] Composite rough sets for dynamic data mining

Information Sciences, 2014.

PDF