CV
Download PDF CV · Last updated in June 2026.
Open to opportunities. (PhD defense completed; degree to be conferred in Oct. 2026.) I am actively exploring research and industry roles focused on AI algorithm research.
Education
- PhD in Computer Science, School of Data Science, The Chinese University of Hong Kong, Shenzhen. PhD defense passed on Apr. 13, 2026; degree to be conferred in Oct. 2026.
- M.Sc. in Data Science, The Chinese University of Hong Kong, Shenzhen, 2022.
- B.Sc. in Statistics from the School of Mathematics, Shandong University, and B.Econ. in Finance from the School of Economics, Shandong University, 2020.
Experience
- Research Intern, Video Rebirth, Shenzhen & Hong Kong, June 2026 - Present. Research on multimodal large language models, world models, and video generation.
- Algorithm Research Intern, Huawei Technologies Co., Ltd., 2012 Laboratories, Central Research Institute, Theory Department, Shenzhen, June 2024 - Oct. 2024.
- Visiting PhD Student, Southern University of Science and Technology (SUSTech), Shenzhen, Jan. 2024 - June 2024.
- Big Data Algorithm Research Intern, Inspur Group, Software Platform Technical Support Department, Jinan, July 2019 - Oct. 2019.
Publications
- Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan. Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection. The 43rd International Conference on Machine Learning.
- Xudong Wang, Tongxin Li, Chris Ding, Jicong Fan. Adaptive Riemannian Graph Neural Networks. AAAI 2026.
- Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan. Explainable Graph Representation Learning via Graph Pattern Analysis. IJCAI 2025.
- Xudong Wang, Guoming Tang, Junyu Xue, Srinivasan Keshav, Tongxin Li, Chris Ding. Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning. The 17th International Conference on Future and Sustainable Energy Systems.
- Xudong Wang, Guoming Tang, Yi Wang, Srinivasan Keshav, Yu Zhang. EVSense: a robust and scalable approach to non-intrusive EV charging detection. ACM e-Energy 2022.
- Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan. Learning Graph Representation via Graph Entropy Maximization. ICML 2024.
- Junyu Xue, Xudong Wang, Xiaoling He, Shicheng Liu, Yi Wang, Guoming Tang. Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring. ACM BuildSys 2025.
- Xin Liu, Xudong Wang, Pei Liu, Guoming Tang. ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs. arXiv preprint.
- Yikai Lu, Tinko Sebastian Bartels, Ruixiang Wu, Fanzeng Xia, Xudong Wang, Yifei Wu, Haoxiang Yang, Tongxin Li. Open In-Context Energy Management Platform. ACM e-Energy 2025.
- Junyu Xue, Yu Zhang, Xudong Wang, Yi Wang, Guoming Tang. Towards Real-world Deployment of NILM Systems: Challenges and Practices. IEEE SustainCom 2024, IEEE Best Paper Award.
- Ruixiang Wu, Xudong Wang, Tongxin Li. Behavior-Aware Efficient Detection of Malicious EVs in V2G Systems. arXiv preprint arXiv:2411.06113, 2024.
- Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu, Xudong Wang. More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring. IEEE CPSCom 2022.
- 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.
Teaching
I received the Outstanding TA Award from the School of Data Science. I have long served as a TA for core undergraduate, master’s, and PhD-level machine learning and artificial intelligence courses, supporting office hours, tutorials, programming labs, assignments, course projects, midterms, and final exams.
- TA, CSC6021 and CSC5010 Advanced Artificial Intelligence, CUHK-Shenzhen, Fall 2025.
- Leading TA, AIR6002 and DDA5001 Advanced Machine Learning, CUHK-Shenzhen, Fall 2024.
- Leading TA, MFE5310 Machine Learning and Its Application, CUHK-Shenzhen, Spring 2022, Spring 2023, and Spring 2024.
- Leading TA, CSC6021, AIR6001, and MDS6105 Advanced Artificial Intelligence, CUHK-Shenzhen, Fall 2023.
- Leading TA, DDA3020 Machine Learning, CUHK-Shenzhen, Fall 2022.
Academic Service
- Reviewer for ICML, NeurIPS, ICLR, AAAI, IEEE Transactions on Smart Grid, IEEE SmartGridComm, and related AI and smart grid venues.
- Session Chair, PAKDD 2026, Distribution Shift and Evaluation.
- Tutorial presenter, PAKDD 2026.
- Oral or conference presenter at IJCAI 2025, ACM e-Energy 2022, and ACM e-Energy 2026.
Awards
- Outstanding TA Award, School of Data Science, Oct. 2025.
- Excellent Party Affairs Worker, CUHK-Shenzhen, July 2025.
- IEEE SustainCom 2024 Best Paper Award, Nov. 2024.
- Presidential Award for Outstanding Graduate Students, Nov. 2022.
- Excellent Academic Scholarship of Master of Science in Data Science, June 2022.
- First Class Merit Scholarship of Master of Science in Data Science, June 2022.
- Entrance Scholarship for Excellent Postgraduate, Sept. 2020.
- Outstanding graduates of 2020, Shandong University, May 2020.
- Excellent Graduation Design & Thesis, Shandong University, Mar. 2020.
- Excellent student scholarship of Shandong University, Nov. 2018.
- Excellent Student Cadres Award of Shandong University, Nov. 2018.
- Excellent Individuals in Innovation and Entrepreneurs of Shandong University, May 2017 & 2018.
- Excellent Individuals in Social Practice of Shandong University, Nov. 2018.
- Excellent Individuals in Campus Network Culture Center of Shandong University, May 2017 & 2018.
- Honorable Award, COMAP Interdisciplinary Contest in Modeling (ICM), Apr. 2019.
- Honorable Award, COMAP Mathematical Contest in Modeling (MCM), Apr. 2018.
- First Award (Provincial level), Shandong Province Undergraduate Physics Competition, Dec. 2018.
- Third Award (National level), China Undergraduate Mathematics Competition (Math Major), Nov. 2017.
- Second Award (Provincial level), Shandong Undergraduate Mathematics Competition (Math Major), Nov. 2017.
- First Award (Provincial level), China Undergraduate Mathematical Contest in Modeling (CUMCM), Oct. 2017.
- First Award (Provincial level), Shandong Province College Students Business Plan Competition, Oct. 2017.
- National Undergraduate Innovation Training Program, project leader, June 2017.
- Third Place (Provincial level), China College Baseball Competition (Shandong Division), May 2018.
简历
下载 PDF 简历 · 最后更新于 2026 年 6 月。
正在寻找工作与合作机会。（博士毕业答辩已通过，预计于 2026 年 10 月正式毕业并获授博士学位。）目前主要关注 AI 算法研究相关的研究和工业机会，欢迎交流。
教育背景
- 香港中文大学（深圳），数据科学学院，计算机科学博士（人工智能与机器学习方向），2022.09 - 2026.10。博士毕业答辩已于 2026.04.13 通过；导师：丁宏强教授（主导师）与李彤欣教授（联合指导）。
- 香港中文大学（深圳），数据科学学院，数据科学理学硕士，2020.09 - 2022.07。曾获校长杰出研究生奖、优秀研究生入学奖学金、学术和学业奖学金等荣誉。
- 山东大学，数学学院统计学理学学士（B.Sc.）与经济学院金融学经济学学士（B.Econ.，双学位），2015.09 - 2020.06。曾获山东大学优秀毕业生、优秀学生奖学金、校级优秀学生干部、优秀毕业设计论文等荣誉。
- 香港大学，理学院统计与精算系交换生，2018.06 - 2018.09。
实习经历
- Video Rebirth（重生视界），研究实习生，深圳 & 香港，2026.06 - 至今。聚焦多模态大模型、世界模型与视频生成研究。
- 华为技术有限公司，2012 实验室中央研究院理论部，算法研究实习生，深圳，2024.06 - 2024.10。
- 南方科技大学（SUSTech），访问博士研究生，深圳，2024.01 - 2024.06。
- 浪潮集团，软件平台技术支持部，大数据算法研究实习生，济南，2019.07 - 2019.10。
科研成果
- Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan. Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection. The 43rd International Conference on Machine Learning.
- Xudong Wang, Tongxin Li, Chris Ding, Jicong Fan. Adaptive Riemannian Graph Neural Networks. AAAI 2026.
- Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan. Explainable Graph Representation Learning via Graph Pattern Analysis. IJCAI 2025.
- Xudong Wang, Guoming Tang, Junyu Xue, Srinivasan Keshav, Tongxin Li, Chris Ding. Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning. The 17th International Conference on Future and Sustainable Energy Systems.
- Xudong Wang, Guoming Tang, Yi Wang, Srinivasan Keshav, Yu Zhang. EVSense: a robust and scalable approach to non-intrusive EV charging detection. ACM e-Energy 2022.
- Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan. Learning Graph Representation via Graph Entropy Maximization. ICML 2024.
- Junyu Xue, Xudong Wang, Xiaoling He, Shicheng Liu, Yi Wang, Guoming Tang. Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring. ACM BuildSys 2025.
- Xin Liu, Xudong Wang, Pei Liu, Guoming Tang. ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs. arXiv preprint.
- Yikai Lu, Tinko Sebastian Bartels, Ruixiang Wu, Fanzeng Xia, Xudong Wang, Yifei Wu, Haoxiang Yang, Tongxin Li. Open In-Context Energy Management Platform. ACM e-Energy 2025.
- Junyu Xue, Yu Zhang, Xudong Wang, Yi Wang, Guoming Tang. Towards Real-world Deployment of NILM Systems: Challenges and Practices. IEEE SustainCom 2024，Best Paper Award.
- Ruixiang Wu, Xudong Wang, Tongxin Li. Behavior-Aware Efficient Detection of Malicious EVs in V2G Systems. arXiv preprint arXiv:2411.06113, 2024.
- Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu, Xudong Wang. More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring. IEEE CPSCom 2022.
- 专利：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。
教学经历
曾获数据科学学院优秀助教奖（Outstanding TA Award）。长期担任学校本硕博机器学习和人工智能核心专业课程的助教，负责答疑、习题课、编程实践课、作业组织与批改、课程项目以及期中期末考试等工作。
- TA，CSC6021 与 CSC5010 Advanced Artificial Intelligence，香港中文大学（深圳），Fall 2025。
- 核心助教（Lead TA），AIR6002 与 DDA5001 Advanced Machine Learning，香港中文大学（深圳），Fall 2024。
- 核心助教（Lead TA），MFE5310 Machine Learning and Its Application，香港中文大学（深圳），Spring 2022、Spring 2023、Spring 2024。
- 核心助教（Lead TA），CSC6021、AIR6001 与 MDS6105 Advanced Artificial Intelligence，香港中文大学（深圳），Fall 2023。
- 核心助教（Lead TA），DDA3020 Machine Learning，香港中文大学（深圳），Fall 2022。
学术服务与活动
- 担任 ICML、NeurIPS、ICLR、AAAI、IEEE Transactions on Smart Grid、IEEE SmartGridComm 等人工智能与智能电网领域国际会议和期刊审稿人。
- 担任 PAKDD 2026 Session Chair（Distribution Shift and Evaluation）。
- 参与主讲 PAKDD 2026 Tutorial。
- 在 IJCAI 2025、ACM e-Energy 2022、ACM e-Energy 2026 等会议进行论文报告或展示。
荣誉与奖项
- 数据科学学院优秀助教奖，2025.10。
- 香港中文大学（深圳）优秀党务工作者，2025.07。
- IEEE SustainCom 2024 最佳论文奖，2024.11。
- 校长杰出研究生奖，2022.11。
- 数据科学理学硕士优秀学业奖学金，2022.06。
- 数据科学理学硕士一等学业奖学金，2022.06。
- 优秀研究生入学奖学金，2020.09。
- 山东大学优秀毕业生，2020.05。
- 山东大学优秀毕业设计论文，2020.03。
- 山东大学优秀学生奖学金，2018.11。
- 山东大学校级优秀学生干部，2018.11。
- 山东大学创新创业先进个人，2017.05 & 2018.05。
- 山东大学社会实践优秀个人，2018.11。
- 山东大学校园网络文化中心优秀个人，2017.05 & 2018.05。
- 美国大学生交叉建模竞赛（ICM）Honorable Mention，2019.04。
- 美国大学生数学建模竞赛（MCM）Honorable Mention，2018.04。
- 山东省大学生物理竞赛一等奖，2018.12。
- 全国大学生数学竞赛（数学专业组）国家三等奖，2017.11。
- 山东省大学生数学竞赛（数学专业组）省二等奖，2017.11。
- 全国大学生数学建模竞赛（CUMCM）省一等奖，2017.10。
- 山东省大学生商业计划大赛一等奖，2017.10。
- 国家级大学生创新训练项目负责人，2017.06。
- 全国大学生棒垒球联赛（山东赛区）团体第三名，2018.05。