Huandong Wang 王寰东

I am a Research Assistant Professor in the Department of Electronic Engineering at Tsinghua University. I received my Ph.D. in Electronic Engineering from Tsinghua University in 2019, advised by Prof. Yong Li and Prof. Depeng Jin. Before that, I earned two B.S. degrees from Tsinghua University: one in Electronic Engineering and another in Mathematical Sciences.

Google Scholar ↗ DBLP ↗ Email
Portrait of Huandong Wang
Research
01

Mobile Communication Networks

Mobile traffic modeling, network simulation, digital twins, and intelligent optimization for mobile communication networks in complex urban environments.

02

AI for Dynamics Modeling

Physics-informed and generative learning for modeling, understanding, and forecasting dynamics across natural and engineered systems.

03

Responsible AI

Privacy, security, and trustworthy learning for large-scale models and networked intelligence.

Selected work

Publications

2026

Generative AI in Urban Science and Practice

Yunke Zhang, Fengli Xu, Qi R. Wang, Esteban Moro, Yang Yue, Huandong Wang, Bin Chen, Yu Liu, Dongping Fang, Peng Gong, Luís M. A. Bettencourt, Michael Batty, Yong Li

Nature Cities
2026

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion

Ruikun Li, Huandong Wang, Jingtao Ding, Yuan Yuan, Qingmin Liao, Yong Li

ICML
2026

Beyond Accuracy and Complexity: The Effective Information Criterion for Structurally Stable Symbolic Regression

Zihan Yu, Guanren Wang, Jingtao Ding, Huandong Wang, Yong Li

ICML
2026

STeP-Diff: Spatio-Temporal Physics-Informed Diffusion Models for Mobile Fine-Grained Pollution Forecasting

Nan Zhou, Weijie Hong, Huandong Wang, Jianfeng Zheng, Qiuhua Wang, Yali Song, Xiao-Ping Zhang, Yong Li, Xinlei Chen

TKDE
2026

FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting

Henggang Deng, Yuchao Tang, Wenjie Fu, Huandong Wang, Kun Chen, Tao Jiang

AAAI
2026

WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network

Ruikun Li, Jiazhen Liu, Huandong Wang, Qingmin Liao, Yong Li

AAAI
2026

Zero-Shot Forecasting of Network Dynamics through Weight Flow Matching

Shihe Zhou, Ruikun Li, Huandong Wang, Yong Li

WWW
2025

Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems

Jingwen Cheng, Ruikun Li, Huandong Wang, Yong Li

NeurIPS
2026

A Survey of Physics-Informed AI for Complex Urban Systems

En Xu, Huandong Wang, Yunke Zhang, Sibo Li, Yinzhou Tang, Zhilun Zhou, Yuming Lin, Yuan Yuan, Xiaochen Fan, Jingtao Ding, Yong Li

Inf. Fusion
2025

Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents

Fanhang Man, Huandong Wang, Jianjie Fang, Zhaoyi Deng, Baining Zhao, Xinlei Chen, Yong Li

ACL
2025

Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder

Ruikun Li, Jingwen Cheng, Huandong Wang, Qingmin Liao, Yong Li

KDD
2025

Bi-Dynamic Graph ODE for Opinion Evolution

Bowen Duan, Henggang Deng, Jinghua Piao, Huandong Wang, Yue Wang

KDD
2025

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning

Ruikun Li, Huandong Wang, Qingmin Liao, Yong Li

ICLR
2024

Mobility Prediction via Rule-enhanced Knowledge Graph

Qiaohong Yu, Huandong Wang, Yu Liu, Depeng Jin, Yong Li, Lin Zhu, Junlan Feng

TKDD
2024

Generative AI-driven Digital Twin for Mobile Networks

Haoye Chai, Huandong Wang, Tong Li, Zhaocheng Wang

IEEE Network
2024

Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space

Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li

KDD
2024

Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration

Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

NeurIPS
2023

Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns

Shuodi Hui, Huandong Wang, Tong Li, Xinghao Yang, et al.

KDD
2021

Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction

Huandong Wang, Qiaohong Yu, Yu Liu, Depeng Jin, Yong Li

IMWUT
2020

Predictability and Prediction of Human Mobility Based on Application-Collected Location Data

Huandong Wang, Sihan Zeng, Yong Li, Depeng Jin

TMC
2018

De-anonymization of Mobility Trajectories: Dissecting the Gaps between Theory and Practice

Huandong Wang, Chen Gao, Yong Li, Gang Wang, Depeng Jin, Jingbo Sun

NDSS

For the complete and continuously updated list, please visit Google Scholar or DBLP.

Community

Academic Service

Conference Area Chair / SPC

  • AAAI · AAAI Conference on Artificial Intelligence

Program Committee & Reviewer

  • ICML · International Conference on Machine Learning
  • ICLR · International Conference on Learning Representations
  • KDD · ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • WWW · The Web Conference
  • NeurIPS · Conference on Neural Information Processing Systems
  • TMLR · Transactions on Machine Learning Research
Get in touch

Contact

Email

wanghuandong[AT]tsinghua.edu.cn

Office

Rohm Building 11-309
Tsinghua University, Beijing 100084, China