🤵🏻 About Me

I am a machine learning researcher specializing in spatio-temporal data mining and time series forecasting. I obtained my doctoral degree from the Big Data College at the University of Science and Technology of China in June 2024. I had the privilege of being supervised by Professor Lian Defu and Professor Wang Yang. Currently, I am an assistant professor at the Suzhou Institute for Advanced Study at the University of Science and Technology of China.

My research interests include topics in machine learning, spatio-temporal data mining, graph learning, and continual learning. Most recently, I am interested in the following topics:

📢: 招收对机器学习、人工智能感兴趣，有较好编程基础的学生，通过邮箱wbw2024@ustc.edu.cn联系我，请附上个人简历、成绩单及自我介绍。

🎉 News

• 2025.02: Two paper is accepted by VLDB 2025!
• 2024.12: Two paper is accepted by ICASSP 2025!
• 2024.10: 恭喜马佳明同学获得华为奖学金！
• 2024.05: One paper is accepted by KDD 2024!
• 2024.05: One paper is accepted by IJCAI 2024!
• 2024.05: One paper is accepted by JCST!
• 2024.04: One paper is accepted by IEEE TVT!
• 2024.04: One paper is accepted by IEEE TITS!
• 2024.01: One paper is accepted by WWW 2024!
• 2023.12: One paper is accepted by AAAI 2024!

📝 Publications

Conference Papers (#:Corresponding Author)

• BiST: A Lightweight and Efficient Bi-directional Model for Spatiotemporal Prediction.
  Jiaming Ma, Binwu Wang#. Pengkun Wang. Zhengyang Zhou. Xu Wang, Yang Wang .
  In: International Conference on Very Large Data Bases (VLDB 2025, CCF-A).
  
• Spatiotemporal Causal Decoupling Model for Air Quality Forecasting.
  Jiaming Ma, Guanjun Wang, Sheng Huang, Kuo Yang, Binwu Wang#, Pengkun Wang, Yang Wang .
  In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ICASSP 2025, CCF-B).
  
• Time-Space-Interlaced Spatiotemporal Graph Forecasting via Two-Stage Summarized Attention.
  Zhaoyang Sun, Yudong Zhang, Xuan Yu, Kai Wang, Binwu Wang, Yang Wang, Xu Wang .
  In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ICASSP 2025, CCF-B).
  
• LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems.
  Pengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang.
  In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ICASSP 2025, CCF-B).
  
• STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts.
  Binwu Wang, Jiaming Zhou, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang.
  In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024, CCF-A).
  
• Make Bricks With A Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity.
  Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang.
  In: International Joint Conference on Artificial Intelligence (IJCAI 2024, CCF-A).
  
• Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective.
  Binwu Wang, Pengkun Wang, Yudong Zhang, Zhengyang Zhou, Xu Wang, Lei Bai, Yang Wang.
  In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024, CCF-A).
  
• Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning.
  Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang.
  In: International Conference on Learning Representations (ICLR 2024, CCF-A).
  
• When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification.
  Wei Xu , Pengkun Wang , Zhe Zhao , Binwu Wang , Xu Wang , Yang Wang
  In: Proceedings of the ACM on Web Conference (WWW 2024, CCF-A).
  
• CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement.
  Qihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, Yang Wang
  In: Advances in Neural Information Processing Systems Datasets and Benchmarks (NeurIPS 2023, CCF-A).
  
• Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification.
  Xu Wang, Pengfei Gu, Yudong Zhang, Binwu Wang, Pengkun Wang, Yang Wang
  In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024, CCF-B).
  
• Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics.
  Zhengyang Zhou, Kuo Yang, Wei Sun, Binwu Wang, Yang Wang
  In: Proceedings of the 2023 SIAM International Conference on Data Mining (SDM 2023, CCF-B).
  
• Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction.
  Binwu Wang , Yudong Zhang , Xu Wang , Pengkun Wang , Zhengyang Zhou , Lei Bai , Yang Wang
  In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023, CCF-A).
  
• CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction.
  Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang
  In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM 2022, CCF-B).
  
• Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion.
  Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai, Yang Wang
  In: IEEE International Conference on Data Mining (ICDM 2022, CCF-B).
  

Journal Papers

• Modeling Spatio-Temporal Mobility across Data Silos via Personalized Federated Learning.
  Yudong Zhang, Xu Wang, Pengkun Wang, Binwu Wang, Binwu Wang, Yang Wang.
  In: Advanced Engineering Informatics (AEI 2025, SQI-1,CCF-B).
  
• Meta Koopman Decomposition for Time Series Forecasting Under Temporal Distribution Shifts.
  Yudong Zhang, Xu Wang, Zhaoyang Sun, Pengkun Wang, Binwu Wang, Limin Li, Yang Wang.
  In: IEEE Transactionson Mobile Computing (IEEE TMC, SQI-1, CCF-A).
  
• Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting.
  Yudong Zhang, Pengkun Wang, Xu Wang, Binwu Wang, Lei Bai, Yang Wang
  In: IEEE Transactions on Intelligent Transportation Systems (IEEE TITS, SQI-1区), in press, 2024.
  
• Condition-Guided Urban Traffic Co-Prediction With Multiple Sparse Surveillance Data.
  Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Yang Wang
  In: IEEE Transactions on Vehicular Technology (IEEE TVT, SQI-2区), in press, 2024.
  
• Face Anti-spoofing with Unknown Attacks: A Comprehensive Feature Extraction and Representation Perspective.
  Limin Li, Binwu Wang#, Xu Wang, Peng-Kun Wang, Yu-Dong Zhang, Yang Wang
  In: Journal of Computer Science and Technology (JCST，CCF-B), in press, 2024.
  
• Latent Gaussian Processes based Graph Learning for Urban Traffic Prediction.
  Xu Wang, Pengkun Wang, Binwu Wang, Yudong Zhang, Zhengyang Zhou, Lei Bai, Yang Wang
  In: IEEE Transactions on Vehicular Technology (IEEE TVT, SQI-2区), in press, 2023.
  
• Knowledge Expansion and Consolidation for Continual Traffic Prediction With Expanding Graphs.
  Binwu Wang, Yudong Zhang, Jiahao Shi, Pengkun Wang, Xu Wang, Lei Bai, Yang Wang
  In: IEEE Transactions on Intelligent Transportation Systems (IEEE TITS, SQI-1区), in press, 2023.
  

🤝 Activities

Conference Committee

• Program Committee Member, NeurIPS 2024.
• Program Committee Member, KDD 2024.
• Program Committee Member, AAAI 2023/2024.

Journal Committee

• Reviewer for IEEE TKDE, IEEE TITS, IEEE TVT, etc.