🤵🏻 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 Associate 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 and spatio-temporal data mining. 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，可通过邮箱wbw1995@mail.ustc.edu.cn联系我，请附上个人简历、成绩单及自我介绍。

🎉 News

• 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

• 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).
  
• 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).
  
• 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).
  
• 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).
  
• 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).
  
• 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).
  
• 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).
  
• 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).
  
• 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).
  
• 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).
  
• 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).
  

Journal Papers

• 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), 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), 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), 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), 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), in press, 2023.
  

🤝 Activities

Conference Committee

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

Journal Reviewer

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