Huandong Wang (王寰东)  

Research Assistant Professor, Dept. of Electronic Engineering, Tsinghua University

wanghuandong [AT] tsinghua.edu.cn
Rohm Building 11-309, Tsinghua University, Beijing, 100084, China.
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Dr. Huandong Wang currently is a Research Assistant Professor in the Department of Electronic Engineering of Tsinghua University. He received his Ph.D. Degree of Electronic Engineering from Tsinghua University in 2019, advised by Prof. Depeng Jin and Prof. Yong Li. Before that, He obtained two B.S. degrees from Tsinghua University, one in electronic engineering , and a second in mathematical sciences. His research interests include mobile network simulation, AI for complex systems, and responsible AI.

Selected Publications

  • Jingwen Cheng, Ruikun Li, Huandong Wang, Yong Li, Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems, The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
  • Fanhang Man, Huandong Wang, Jianjie Fang, Zhaoyi Deng, Baining Zhao, Xinlei Chen, Yong Li, Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
  • Dianlei Xu, Xiang Su, Gopika Premsankar, Huandong Wang, Sasu Tarkoma, Pan Hui, Dynamic Hierarchical Reinforcement Learning Framework for Energy-Efficient 5G Base Stations in Urban Environments, IEEE Transactions on Mobile Computing, 2025.
  • Ziyi Liu, Qingyue Long, Huandong Wang, and Yong Li, Multi-Scale Diffusion Transformer for Jointly Simulating User Mobility and Mobile Traffic Pattern, Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), short paper, 2025.
  • Ruikun Li, Jingwen Cheng, Huandong Wang, Qingmin Liao, Yong Li, Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025.
  • Bowen Duan, Henggang Deng, Jinghua Piao, Huandong Wang, Yue Wang, Bi-Dynamic Graph ODE for Opinion Evolution, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025.
  • Ruikun Li, Huandong Wang, Qingmin Liao, Yong Li, Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning, International Conference on Learning Representations (ICLR), 2025.
  • Qiaohong Yu, Huandong Wang, Yu Liu, Depeng Jin, Yong Li, Lin Zhu, Junlan Feng, Mobility Prediction via Rule-enhanced Knowledge Graph, ACM Transactions on Knowledge Discovery from Data (TKDD), 2024.
  • Ziyi Liu, Huandong Wang, Yong Li, Understanding Deployment Experience of 5G, Companion Proceedings of the ACM Web Conference, 2024.
  • Haoye Chai, Huandong Wang, Tong Li, Zhaocheng Wang, Generative AI-driven Digital Twin for Mobile Networks, IEEE Network, 2024.
  • Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li, Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
  • Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang, Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration, The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
  • Shuodi Hui, Huandong Wang, Tong Li, Xinghao Yang, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui, Depeng Jin, Yong Li, Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
  • Shuodi Hui, Huandong Wang, Zhenhua Wang, Xinghao Yang, Zhongjin Liu, Depeng Jin, Yong Li, Knowledge Enhanced GAN for IoT Traffic Generation, Proceedings of the ACM Web Conference, 2022.
  • Huandong Wang, Qiaohong Yu, Yu Liu, Depeng Jin, Yong Li, Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2021.
  • Huandong Wang, Sihan Zeng, Yong Li, Depeng Jin, Predictability and prediction of human mobility based on application-collected location data, IEEE Transactions on Mobile Computing, 2020.
  • Huandong Wang, Yong Li, Sihan Zeng, Gang Wang, Pengyu Zhang, Pui Hui, Depeng Jin, Modeling Spatio-Temporal App Usage for a Large User Population, Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2019.
  • Chen Gao, Chao Huang, Yue Yu, Huandong Wang, Yong Li, Depeng Jin, Privacy-preserving Cross-domain Location Recommendation, Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2019.
  • Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, Depeng Jin, User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data, Proceedings of the 2018 International Conference on World Wide Web (WWW), 2019.
  • Huandong Wang, Chen Gao, Yong Li, Gang Wang, Depeng Jin, Jingbo Sun, De-anonymization of Mobility Trajectories: Dissecting the Gaps between Theory and Practice, In Proceedings of the 25th Annual Network And Distributed System Security Symposium (NDSS), 2018. [Code]
  • Huandong Wang, Yong Li, Gang Wang, Depeng Jin, You Are How You Move: Linking Multiple User Identities From Massive Mobility Traces, In Proceedings of The SIAM International Conference on Data Mining (SDM), 2018.
  • Huandong Wang, Yong Li, Yang Chen, and Depeng Jin, Co-location social networks: Linking the physical world and cyberspace, in IEEE Transactions on Mobile Computing, 2018.
  • Huandong Wang, Chen Gao, Yong Li, Zhi-Li Zhang, Depeng Jin, From Fingerprint to Footprint: Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs, In Proceedings of the ACM on Conference on Information and Knowledge Management (CIKM), 2017.
  • Huandong Wang, Yong Li, Ying Zhang, Depeng Jin, Virtual Machine Migration Planning in Software-Defined Networks, IEEE Transactions on Cloud Computing, 2017.
  • Huandong Wang, Yong Li, Depeng Jin, Pan Hui, Jie Wu, Saving Energy in Partially Deployed Software Defined Networks, IEEE Transactions on Computers, vol. 65, no. 5, pp. 1578-1592, 2016.
  • Fengli Xu, Yong Li, Huandong Wang, Pengyu Zhang, and Depeng Jin, Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment, IEEE/ACM Transactions on Networking, 2016.
  • Lingsheng Shi, Huandong Wang, The complexity of problems in wireless communication, Telecommunication Systems, pp. 1-9, 2016.
  • Jiaqiang Liu, Yong Li, Huandong Wang, Depeng Jin, Li Su, Lieguang Zeng, Thanos Vasilakos, Leveraging Software-Defined Networking for Security Policy Enforcement, In Information Science, vol. 327, pp. 288–299, 2016.
  • Huandong Wang, Fengli Xu, Yong Li, Pengyu Zhang, Depeng Jin, Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment, In Proceedings of the Internet Measurement Conference (IMC), 2015.
  • Huandong Wang, Yong Li, Ying Zhang, Depeng Jin, Virtual Machine Migration Planning in Software-Defined Networks, In Proceedings of IEEE Conference on Computer Communications (INFOCOM), 2015.
  • Huandong Wang, Jingtao Ding, Yong Li, Pan Hui, Jian Yuan, Depeng Jin, Characterizing the Spatio-Temporal Inhomogeneity of Mobile Traffic in Large-scale Cellular Data Networks. In Proceedings of the ACM International Workshop on Hot Topics in Planet-scale mObile computing and online Social neTworking (HotPOST), 2015.