Huandong Wang
Assistant Professor
Works on network digital twins, urban emergency response, and complex systems with spatio-temporal data mining.
Huandong Wang's lab at Tsinghua works on time series, anomaly & spatio-temporal data and data management & big data. 55 papers since 2023, 27 at top venues, mostly KDD and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 49%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 10 papers2026 · T1 7 · collecting
- 15 papers2025 · T1 7
- 17 papers2024 · T1 5
- 13 papers2023 · T1 8
T1 venuesOtherVenues: KDD, AAAI, WWW, NeurIPS, TKDE
Research focuspaper titles that use each topic's words
- Time series, anomaly & spatio-temporal data10 papers
- Data management & big data2 papers
- complex systems2 papers
- spatio-temporal data0 papers
- twins0 papers
Paper list
From DBLP.
202610 papers
- Inf. FusionA survey of physics-informed AI for complex urban systems (opens in a new tab)
- IJCAI/ECAIDynaOD: Dynamic Origin-Destination Flow Generation with Discrete-to-Continuous Temporal Semantic Modeling (opens in a new tab)
- AAAI (T1)FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting (opens in a new tab)
- KDD (T1)FireSentry: A Multi-Modal Spatio-temporal Benchmark Dataset for Fine-Grained Wildfire Spread Forecasting (opens in a new tab)
- CVPR (T1)Progressive Supernet Training for Efficient Visual Autoregressive Modeling (opens in a new tab)
- KDD (T1)RAPID: A Scalable and Controllable Physics-Informed Diffusion Framework for Real-Time Pedestrian Trajectory Generation (opens in a new tab)
- J. Comput. Aided Mol. Des.Single-nucleus and machine-learning integration identifies HLA-DRA and FTL as immune-metabolic axes and traditional Chinese medicine-targetable hubs in calcific aortic valve disease (opens in a new tab)
- TKDE (T1)STeP-Diff: Spatio-Temporal Physics-Informed Diffusion Models for Mobile Fine-Grained Pollution Forecasting (opens in a new tab)
- AAAI (T1)WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network (opens in a new tab)
- WWW (T1)Zero-Shot Forecasting of Network Dynamics through Weight Flow Matching (opens in a new tab)
202515 papers
- ACM Comput. Surv.Advancements in Federated Learning: Models, Methods, and Privacy (opens in a new tab)
- WWW (T1)Artificial Intelligence for Complex Network: Potential, Methodology and Application (opens in a new tab)
- KDD (T1)Bi-Dynamic Graph ODE for Opinion Evolution (opens in a new tab)
- ACL (T1)Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents (opens in a new tab)
- IEEE Trans. Mob. Comput.Dynamic Hierarchical Reinforcement Learning Framework for Energy-Efficient 5G Base Stations in Urban Environments (opens in a new tab)
- ACM Trans. Knowl. Discov. DataGeoGail: A Model-Based Imitation Learning Framework for Human Trajectory Synthesizing (opens in a new tab)
- APPTLASM: A Lightweight and General TEE Secure Monitor Framework (opens in a new tab)
- AAAI (T1)MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector (opens in a new tab)
- ACM Trans. Intell. Syst. Technol.Mobility Data-Driven Privacy-Preserving Model for Detecting High-Risk Infection Cases (opens in a new tab)
- ACM Trans. WebMSA-Net: A Multi-Scale Information Diffusion Model Awaring User Activity Level (opens in a new tab)
- SIGSPATIAL/GISMulti-Scale Diffusion Transformer for Jointly Simulating User Mobility and Mobile Traffic Pattern (opens in a new tab)
- ACM Trans. Knowl. Discov. DataNeuralCODE: Neural Compartmental Ordinary Differential Equations Model with AutoML for Interpretable Epidemic Forecasting (opens in a new tab)
202417 papers
- ACM Trans. Intell. Syst. Technol.Generating Daily Activities with Need Dynamics (opens in a new tab)
- IEEE Netw.Generative AI-Driven Digital Twin for Mobile Networks (opens in a new tab)
- CCF Trans. Pervasive Comput. Interact.Graph neural ordinary differential equations for epidemic forecasting (opens in a new tab)
- ACM Trans. Intell. Syst. Technol.KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction (opens in a new tab)
- NeurIPS (T1)Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration (opens in a new tab)
- ACM Trans. Knowl. Discov. DataMobile User Traffic Generation Via Multi-Scale Hierarchical GAN (opens in a new tab)
- ACM Trans. Knowl. Discov. DataMobility Prediction via Rule-enhanced Knowledge Graph (opens in a new tab)
- ACM Comput. Surv.Multi-scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data (opens in a new tab)
- KDD (T1)Physics-informed Neural ODE for Post-disaster Mobility Recovery (opens in a new tab)
- IPSNPoster Abstract: Generative Modeling of Post-Disaster POI Visits Recovery (opens in a new tab)
- KDD (T1)Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space (opens in a new tab)
- ACM Trans. Inf. Syst.Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning (opens in a new tab)
202313 papers
- ICASSP (T1)An Adaptive DFE Using Light-Pattern-Protection Algorithm in 12 NM CMOS Technology (opens in a new tab)
- SIGSPATIAL/GISContagion Process Guided Cross-scale Spatio-Temporal Graph Neural Network for Traffic Congestion Prediction (opens in a new tab)
- KDD (T1)Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network (opens in a new tab)
- SIGSPATIAL/GISEnhancing Spatial Spread Prediction of Infectious Diseases through Integrating Multi-scale Human Mobility Dynamics (opens in a new tab)
- KDD (T1)ILRoute: A Graph-based Imitation Learning Method to Unveil Riders' Routing Strategies in Food Delivery Service (opens in a new tab)
- IEEE Internet Things J.Joint VNF Placement, CPU Allocation, and Flow Routing for Traffic Changes (opens in a new tab)
- KDD (T1)Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns (opens in a new tab)
- ACM Trans. Intell. Syst. Technol.Learning Representations of Satellite Imagery by Leveraging Point-of-Interests (opens in a new tab)
- KDD (T1)Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales (opens in a new tab)
- WWW (T1)Learning to Simulate Daily Activities via Modeling Dynamic Human Needs (opens in a new tab)
- ACM Trans. Knowl. Discov. DataLoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization (opens in a new tab)
- AAAI (T1)PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
Similar labsnearest by research summary
- SGNTU
Syin Chan
- Recommendation, search & web
- CNSJTU
Bin Yao
- Data management & big data
- USUSC
Cyrus Shahabi
- Data management & big data
- HKCUHK
Sibo Wang
- Data management & big data
- CNPeking
Daqing Zhang
- Data management & big data
- SGNTU
Sourav S. Bhowmick
- Data management & big data
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
Tsinghuacloses