CN TsinghuaDepartment of Electronic Engineering Feb 28
Works on urban science and computing, AI for spatio-temporal and mobility data, and large-model agents for social simulation.
2026 AgentSwift： Efficient LLM Agent Design via Value-guided Hierarchical Search AAAI 2026 Artificial intelligence tools expand scientists' impact but contract science's focus Nature 122 T1175 papers53 members72 alumniCN SJTUSchool of Computer Science May 31
Guihai Chen Distinguished Professor Works on computer networks, wireless sensor networks and distributed computing, and leads the Institute of Advanced Network whose recent work spans data…
2026 Accelerating Complex Event Recognition via Range Bitmap-Based Indexes With Window-Wise Filtering TKDE 2026 AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization AAAI 105 T1291 papersGroup size not listed US UIUCSiebel School of Computing and Data Science Dec 1
Studies data mining and text mining, including knowledge graph construction, information network analysis and mining with large language models.
2026 Condition-Gated Reasoning for Context-Dependent Biomedical Question Answering KDD 2026 CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval KDD 95 T1127 papers14 members151 alumniCN ZhejiangCollege of Computer Science and Technology Feb 28
Works on data management and learning-based analytics over graphs, time series and high-dimensional data.
2026 A Unified Federated Framework for Trajectory Data Preparation via LLMs ICLR 2026 Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization SIGMOD 93 T1107 papersGroup size not listed US UIUCSiebel School of Computing and Data Science Dec 1
Studies large-scale data mining and machine learning on graphs, including graph neural networks and network analysis.
2026 A Hands-on Tutorial for Diffusion Language Models with dLLM KDD 2026 Certified Defense on the Fairness of Graph Neural Networks KDD 92 T1123 papers14 members28 alumniCN SJTUSchool of Computer Science May 31
Fan Wu Distinguished Professor Works on mobile intelligence such as on-device machine learning and crowdsensing, algorithmic network economics and data pricing and protection.
2026 A Creator-Aware Recommendation System for Content Platforms WWW 2026 Auction design with ex post ROI constraints Artificial Intelligence 86 T1161 papers6 membersUS UCSDComputer Science and Engineering Dec 15
Builds recommender systems and models of user behavior and opinions from large online review and social data.
2026 A zero-weight personalized recommender system for scalable news recommendation SIGIR 2026 Auto-dreamer: learning offline memory consolidation for language agents NeurIPS 85 T1129 papers18 members25 alumniCN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on database systems, human-machine collaborative crowd computing, spatio-temporal data processing, and the fusion of AI and databases.
2026 A Topology-Aware Localized Update Strategy for Graph-Based ANN Index VLDB 2026 AgenticScholar: Agentic Data Management with Pipeline Orchestration for Scholarly Corpora SIGMOD 84 T1102 papers15 members32 alumniSG NUSDepartment of Computer Science Dec 15
Works on machine learning for graphs, anomaly detection, spatiotemporal data and reliability of vision-language models.
2026 AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing ICML 2026 Conversation for Non-verifiable Learning: Self-Evolving Large Language Models through Meta-Evaluation ICML 76 T1101 papers10 membersCN ZhejiangCollege of Control Science and Engineering Feb 28
Works on network optimization and control and industrial IoT security, and on machine learning for industrial data such as label-free multivariate time-series…
2026 Consistency-Aware Spot-Guided Transformer for Accurate and Versatile Point Cloud Registration TPAMI 2026 DiffPBR: Point-Based Rendering via Spatial-Aware Residual Diffusion ICLR 72 T1210 papersGroup size not listed CN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on graph machine learning, network embedding, pre-trained graph and language models, and social network mining.
2026 ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents ICLR 2026 GSPNet: Graph Spectral Projection Network Using Learnable Spectral Transformation TPAMI 70 T182 papers12 membersCN SJTUSchool of Computer Science May 31
Yong Yu Distinguished Professor Leads the APEX Data & Knowledge Management Lab, working on machine learning, data mining and recommender systems.
2026 A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage ACL 2026 A Survey of Large Language Model-Based Search Agents ACL 69 T1110 papersGroup size not listed CN PekingSchool of Computer Science Jan 15
Tong Yang Associate Professor Researches data structures and sketches for network measurement and data stream mining, and accelerates machine learning algorithms.
2026 AlignSketch: A Framework for Aligning Theoretical and Practical Estimation Errors ICDE 2026 Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging NeurIPS 66 T1104 papers10 members6 alumniSG NTUCollege of Computing and Data Science
Researches geospatial, textual and mobility data management, large-scale data mining and recommendation.
2026 ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities ICDE 2026 Are Learned DBMS Components Robust to Workload Drift? SIGMOD 50 T166 papers12 members33 alumniCN SJTUSchool of Computer Science May 31
Weiwen Liu Tenured Track Associate Professor Works on large language models and recommendation algorithms in the APEX Data & Knowledge Management Lab.
2026 A Survey of Large Language Model-Based Search Agents ACL 2026 ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web ACL 49 T170 papersGroup size not listed HK CUHKDepartment of Systems Engineering and Engineering Management Dec 1
Works on data mining, graph learning and knowledge management.
2026 A Unified Framework for Dense Subgraph Maintenance over Dynamic Bipartite Graphs SIGMOD 2026 Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction ICLR 44 T154 papersGroup size not listed US UCLAComputer Science Dec 15
Develops graph neural networks, knowledge graph reasoning and network mining, with applications to science and chip design.
2026 ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning ICML 2026 Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data ICLR 42 T1102 papers12 members18 alumniSG NTUCollege of Computing and Data Science
Works on user modeling, personalized recommendation and trust modeling in multi-agent systems.
2026 Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model ACL 2026 Beyond a Single Story: Meta-Reviewing Sparse and Incomplete User-generated Contents for Recommendation EMNLP 40 T177 papers10 members35 alumniCN SJTUSchool of Computer Science May 31
Works on big data processing and analytics, including temporal graph neural networks and learned models for stock trend forecasting (MASTER, DoubleAdapt).
2026 CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation SIGMOD 2026 DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors KDD 39 T191 papersGroup size not listed US UCLAComputer Science Dec 15
Develops data mining and machine learning methods for biomedical and scientific data, including knowledge graphs and language models for medicine and chemistry.
2025 Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation WSDM 2025 Designing metamaterials with programmable nonlinear responses and geometric constraints in graph space Nature Machine Intelligence 38 T156 papers15 members31 alumni