About me

Welcome to my Homepage! I am Xudong Wang (王旭东) [xudongwang@link.cuhk.edu.cn], PhD Candidate in Computer Science from School of Data Science (SDS), The Chinese University of Hongkong, Shenzhen (CUHK-Shenzhen). Before that, I got the M.Sc. in Data Science from CUHK-Shenzhen in 2022. And in 2020, I got B.Sc. in Statistics from School of Mathematics and B.Ec. in Finance from School of Economics of Shandong University (SDU) respectively.

My research fields are Artificial intelligence (AI) and Machine Learning (ML). And my Phd research topics are Graph Learning and Smart Grid. My Phd supervisors are Prof. Chris Ding [Google Scholar] and Prof. Tongxin Li.

Welcome to more exchanges and If you are interested in my research works, you can contact me via email: [xudongwang@link.cuhk.edu.cn].

Publication

• Paper: Adaptive Riemannian Graph Neural Networks

  • https://arxiv.org/abs/2508.02600

  • Xudong Wang, Tongxin Li, Chris Ding, Jicong Fan

  • The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026)

• Paper: Explainable Graph Representation Learning via Graph Pattern Analysis
  • https://www.ijcai.org/proceedings/2025/0381.pdf

  • Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan

  • The 34th International Joint Conference on Artificial Intelligence (IJCAI 2025)
• Paper: Learnable Kernel Density Estimation for Graphs
  • https://arxiv.org/abs/2505.21285

  • Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan

  • arXiv Preprint.
• Paper: DualNILM: Energy Injection Identification Enabled Disaggregation with Deep Multi-Task Learning
  • https://arxiv.org/abs/2508.14600
  • Xudong Wang, Guoming Tang, Junyu Xue, Srinivasan Keshav, Tongxin Li, Chris Ding
  • arXiv Preprint.
• Paper: Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring
  • https://arxiv.org/pdf/2505.06330
  • Junyu Xue, Xudong Wang, Xiaoling He, Shicheng Liu, Yi Wang, Guoming Tang
  • The 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (ACM BuildSys 2025)

• Paper: Learning Graph Representation via Graph Entropy Maximization

  • https://icml.cc/virtual/2024/poster/32687

  • Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan

  • The 41th International Conference on Machine Learning (ICML 2024)

• Paper: EVSense: a robust and scalable approach to non-intrusive EV charging detection

  • https://dl.acm.org/doi/10.1145/3538637.3538860

  • Xudong Wang, Guoming Tang, Yi Wang, Srinivasan Keshav, Yu Zhang

  • The 13th ACM SIGEnergy International Conference on Future Energy Systems (ACM e-Energy 2022)

• Paper: Open In-Context Energy Management Platform

  • https://dl.acm.org/doi/full/10.1145/3679240.3734678

  • Yikai Lu, Tinko Sebastian Bartels, Ruixiang Wu, Fanzeng Xia, Xudong Wang, Yifei Wu, Haoxiang Yang, Tongxin Li

  • The 16th ACM SIGEnergy International Conference on Future Energy Systems (ACM e-Energy 2025)

• Paper: ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs
  • https://arxiv.org/abs/2503.10714
  • Xin Liu, Xudong Wang, Pei Liu, Guoming Tang
  • arXiv Preprint.
• Paper: Towards Real-world Deployment of NILM Systems: Challenges and Practices
  • https://arxiv.org/abs/2409.14821
  • Junyu Xue, Yu Zhang, Xudong Wang, Yi Wang, Guoming Tang
  • The 14th IEEE International Conference on Sustainable Computing and Communications. (IEEE Best Paper Award, IEEE SustainCom 2024)

• Paper: More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring

  • https://www.computer.org/csdl/proceedings-article/ithings-greencom-cpscom-smartdata-cybermatics/2022/541700a292/1Hcn1zhTUic.

  • Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu, Xudong Wang

  • The 15th IEEE International Conference on Cyber, Physical and Social Computing (IEEE CPSCom 2022)

• Paper: FedNILM: Applying Federated Learning to NILM Applications at the Edge

  • https://arxiv.org/abs/2106.07751.

  • Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Xudong Wang, Jiadong Lou

  • arXiv Preprint.

• Patent: 一种电动汽车充电监测方法及系统

  • 发明人: 武洋静; 王旭东

  • 专利号: CN202210620528, ICPC分类号: H02J3/00

Talk

• Presentation in International Joint Conference on Artificial Intelligence (IJCAI) 2025
  • Slides: link, Poster: link
• Presentation in International Conference ACM e-Energy 2022
  • Recording: https://youtu.be/sBAtrK5vS9U.
  • Slides: link

Teaching

• Teaching Assistant (TA) in SDS, CUHK-Shenzhen:
  • Leading TA, MFE5310 (PG Course) - Machine learning and its application, Term 2, AY2021-2022.
  • Leading TA, DDA3020 (UG Course) - Machine learning, Term 1, AY2022-2023.
    • Selected of my tutorial materials: Tutorial for Numpy and Sklearn API, Tutorial for Numpy Linear Algebra and Least Square Optimization Problem in Python.
    • Selected of my tutorial recordings: [1],[2].
  • Leading TA, MFE5310 (PG Course) - Machine learning and its application, Term 2, AY2022-2023.
  • TA, CSC6021 & AIR6001 & MDS6105 (PG Course) - Artificial Intelligence, Term 1, AY2023-2024.
    • Selected of my tutorial materials: Tutorial for Graph Representation.
  • Leading TA, MFE5310 (PG Course) - Machine learning and its application, Term 2, AY2023-2024.

HONORS & AWARDS