SGNUSDepartment of Computer Science
Works on multimodal foundation models, conversational search and recommendation, and trust and safety of AI; co-directs the NExT search centre.
- Large language models
- Interpretability, evaluation & safety of LMs
- Recommendation, search & web
- 2026ADVersa: Abductive Driving Accident Video UnderstandingTPAMI
- 2026AlphaSteer: Learning Refusal Steering with Principled Null-Space ConstraintICLR
215 T1 · 319 papers · Group size not listed · 37 alumni HKCUHKDepartment of Computer Science and Engineering
Works on machine learning, graph neural networks, recommender systems, social computing and natural language processing.
- Graph learning
- Social computing & responsible AI
- Recommendation, search & web
- 2026Advancing Multi-Agent RAG Systems with Minimalist Reinforcement LearningAAMAS
- 2026Adversarial Encoding Perturbation and Synthesis for Set Representation Auxiliary LearningICLR
89 T1 · 141 papers · 27 members · 10 alumni USUCSDComputer Science and Engineering
Builds recommender systems and models of user behavior and opinions from large online review and social data.
- Recommendation, search & web
- Computational social science
- 2026A zero-weight personalized recommender system for scalable news recommendationSIGIR
- 2026Auto-dreamer: learning offline memory consolidation for language agentsNeurIPS
85 T1 · 129 papers · 18 members · 25 alumni CNTsinghuaDepartment of Computer Science and Technology
Works on web information retrieval, user behavior analysis for search, and natural language processing.
- Knowledge, QA & retrieval
- Recommendation, search & web
- 2026Analytical SearchSIGIR
- 2026Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation EvaluationAAAI
70 T1 · 92 papers · 36 members · 41 alumni CNSJTUSchool of Computer Science
Yong YuDistinguished Professor
Leads the APEX Data & Knowledge Management Lab, working on machine learning, data mining and recommender systems.
- Recommendation, search & web
- Data management & big data
- Knowledge, QA & retrieval
- 2026A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and UsageACL
- 2026A Survey of Large Language Model-Based Search AgentsACL
69 T1 · 110 papers · Group size not listed CNZhejiangSchool of Artificial Intelligence
Researches trustworthy AI, privacy-preserving machine learning and recommender systems.
- Trustworthy & safe ML
- Recommendation, search & web
- Interpretability, evaluation & safety of LMs
- 2026Demystifying the Optimal Fair Classifier in Multi-Class ClassificationICML
- 2026FedAU^2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial TrainingAAAI
62 T1 · 93 papers · Group size not listed HKCUHKDepartment of Systems Engineering and Engineering Management
Works on Chinese language processing, information retrieval and databases.
- Knowledge, QA & retrieval
- Recommendation, search & web
- 2026EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-ForgetICLR
- 2026Enhancing Event Causality Extraction With Mention-Level Causal Evidence and Global Causal Graph ReasoningTKDE
54 T1 · 90 papers · Group size not listed SGNTUCollege of Computing and Data Science
Researches geospatial, textual and mobility data management, large-scale data mining and recommendation.
- Data management & big data
- Recommendation, search & web
- 2026ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data ModalitiesICDE
- 2026Are Learned DBMS Components Robust to Workload Drift?SIGMOD
50 T1 · 66 papers · 12 members · 33 alumni CNSJTUSchool of Computer Science
Weiwen LiuTenured Track Associate Professor
Works on large language models and recommendation algorithms in the APEX Data & Knowledge Management Lab.
- Recommendation, search & web
- Large language models
- Knowledge, QA & retrieval
- 2026A Survey of Large Language Model-Based Search AgentsACL
- 2026ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent WebACL
49 T1 · 70 papers · Group size not listed SGNTUCollege of Computing and Data Science
Works on user modeling, personalized recommendation and trust modeling in multi-agent systems.
- Recommendation, search & web
- Data management & big data
- Reasoning & neuro-symbolic AI
- 2026Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language ModelACL
- 2026Beyond a Single Story: Meta-Reviewing Sparse and Incomplete User-generated Contents for RecommendationEMNLP
40 T1 · 77 papers · 10 members · 35 alumni CNZhejiangCollege of Computer Science and Technology
Works on computer vision and multimedia information retrieval.
- Recommendation, search & web
- Knowledge, QA & retrieval
- 2026AgentVLN: Towards Agentic Vision-and-Language NavigationECCV
- 2026ChatTracker: Enhancing Visual Tracking via LLM-Driven Iterative Description RefinementTPAMI
38 T1 · 61 papers · Group size not listed CNZhejiangCollege of Computer Science and Technology
Xiaofei HeProfessor of Computer Science
Researches machine learning, including manifold learning and dimensionality reduction, with applications to computer vision and information retrieval.
- Recommendation, search & web
- Knowledge, QA & retrieval
- 2026Aligning Multiple Knowledge Graphs in A Single PassWWW
- 2026Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video DiffusionECCV
36 T1 · 43 papers · Group size not listed CNZhejiangCollege of Computer Science and Technology
Researches machine learning, computer vision, data mining and information retrieval.
- Recommendation, search & web
- Data management & big data
- Knowledge, QA & retrieval
- 2026Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video DiffusionECCV
- 2026Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion ModelICLR
35 T1 · 46 papers · Group size not listed CNTsinghuaDepartment of Computer Science and Technology
Works on information retrieval, retrieval-augmented generation, prompt optimization, and large language models for search, recommendation, and legal…
- Large language models
- Knowledge, QA & retrieval
- Recommendation, search & web
- 2025Brain Image Reconstruction with Retrieval-Augmented DiffusionSIGIR
- 2025Dynamic and Parametric Retrieval-Augmented GenerationSIGIR
34 T1 · 77 papers · 36 members · 41 alumni CATorontoDepartment of Mechanical & Industrial Engineering
Leads the D3M lab on conversational recommender systems, sequential decision-making and applied machine learning.
- Reinforcement learning
- Recommendation, search & web
- Dialogue, generation & summarization
- 2026CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language ModelsSIGIR
- 2026Efficient Modality Translation via Arbitrary Conditioning and Wasserstein RegularizationAAAI
30 T1 · 69 papers · 12 members · 32 alumni GBUCLDepartment of Computer Science
Emine YilmazProfessor of Computer Science
Leads the Web Intelligence Group, researching information retrieval, search evaluation and conversational systems.
- Knowledge, QA & retrieval
- Interpretability, evaluation & safety of LMs
- Recommendation, search & web
- 2026AgentSearch: Indexing, Retrieval, and Ranking of AI AgentsSIGIR
- 2026Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented GenerationICLR
24 T1 · 45 papers · 7 members · 6 alumni CNTsinghuaInstitute for AI Industry Research (AIR)
Yanyan LanPrincipal Investigator/Professor
Works on machine learning, information retrieval, and AI for science.
- Recommendation, search & web
- Knowledge, QA & retrieval
- 2026Drugging the Undruggable: Benchmarking and Modeling Fragment-Based ScreeningICLR
- 2026Learning Protein-Ligand Binding in Hyperbolic SpaceAAAI
23 T1 · 32 papers · Group size not listed SGNTUCollege of Computing and Data Science
Aixin SunAssociate Professor
Works on information retrieval, recommender systems, and text and web mining.
- Recommendation, search & web
- Data management & big data
- Knowledge, QA & retrieval
- 2026A Position Paper on Recommender Systems in the Era of Autonomous AgentsRecSys
- 2026Can LLM Safety Be Ensured by Constraining Parameter Regions?ACL
21 T1 · 48 papers · 9 members · 19 alumni CNZhejiangSchool of Artificial Intelligence
Works on medical image processing, big-data analysis, recommender systems and data mining.
- Medical image analysis
- Recommendation, search & web
- Data management & big data
- 2026Language-guided Frequency Modulation for Large Vision-Language ModelsCVPR
- 2026Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language ModelsAAAI
21 T1 · 77 papers · Group size not listed USUIUCSiebel School of Computing and Data Science
Studies natural language processing, information retrieval and data mining for knowledge acquisition from Web and social media text.
- Knowledge, QA & retrieval
- Language & society
- Recommendation, search & web
- 2026On Graph Rewiring with Motifs: A Find-and-Replace ApproachICDE
- 2025ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase GenerationACL
18 T1 · 30 papers · Group size not listed