Publications

PhD Dissertation

Principled and Effective Graph Representation Learning with Application to Anomaly Detection

理论驱动的高效图表示学习及其在异常检测中的应用

Recommended citation: GB/T 7714 Wang Xudong. Principled and Effective Graph Representation Learning with Application to Anomaly Detection[D]. The Chinese University of Hong Kong, Shenzhen, 2026.

ICML 2026

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection

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

The 43rd International Conference on Machine Learning.

AAAI 2026

Adaptive Riemannian Graph Neural Networks

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

The 40th Annual AAAI Conference on Artificial Intelligence.

IJCAI 2025

Explainable Graph Representation Learning via Graph Pattern Analysis

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

The 34th International Joint Conference on Artificial Intelligence.

ACM e-Energy 2026

Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning

Xudong Wang, Guoming Tang, Junyu Xue, Srinivasan Keshav, Tongxin Li, Chris Ding.

The 17th International Conference on Future and Sustainable Energy Systems.

ACM e-Energy 2022

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

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

The 13th ACM SIGEnergy International Conference on Future Energy Systems.

ICML 2024

Learning Graph Representation via Graph Entropy Maximization

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

The 41st International Conference on Machine Learning.

ACM BuildSys 2025

Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring

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.

arXiv preprint

ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs

Xin Liu, Xudong Wang, Pei Liu, Guoming Tang.

ACM e-Energy 2025

Open In-Context Energy Management Platform

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.

IEEE SustainCom 2024, IEEE Best Paper Award

Towards Real-world Deployment of NILM Systems: Challenges and Practices

Junyu Xue, Yu Zhang, Xudong Wang, Yi Wang, Guoming Tang.

The 14th IEEE International Conference on Sustainable Computing and Communications.

arXiv preprint arXiv:2411.06113

Behavior-Aware Efficient Detection of Malicious EVs in V2G Systems

Ruixiang Wu, Xudong Wang, Tongxin Li.

Published Nov. 9, 2024.

IEEE CPSCom 2022

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

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

The 15th IEEE International Conference on Cyber, Physical and Social Computing.

Patent

一种电动汽车充电监测方法及系统

Inventors: Yangjing Wu; Xudong Wang.

Patent no. CN202210620528, ICPC H02J3/00.