CN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on large language models, knowledge graphs and semantic computing, and computational social science.
2026 APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention ACL 2026 AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage ACL 133 T1203 papers24 members27 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies natural language processing, including information extraction, knowledge-enhanced language models and multimedia multilingual understanding.
2026 Advancing Creative Physical Intelligence in Large Multimodal Models NeurIPS 2026 Agentic Reasoning for Large Language Models: A Survey TMLR 114 T1258 papers17 members135 alumniCN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on web information retrieval, user behavior analysis for search, and natural language processing.
2026 Analytical Search SIGIR 2026 Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation AAAI 70 T192 papers36 members41 alumniCN 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 ZhejiangSchool of Artificial Intelligence Feb 28
Works on cross-media intelligence, big-data intelligence, multimedia analysis and retrieval, knowledge graphs and digital libraries.
2026 Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning CVPR 2026 Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks ACL 69 T1117 papersGroup size not listed CN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on natural language processing, including dialogue systems, language generation, question answering, and sentiment analysis.
2026 BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs ICLR 2026 Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen ICLR 68 T189 papersGroup size not listed US UCSDComputer Science and Engineering Dec 15
Mines structured knowledge from large text corpora with minimal supervision, including weakly supervised text classification and LLM-based information…
2026 AMPS: Adaptive Modality Preference Steering via Functional Entropy NeurIPS 2026 AutoCode: LLMs as Problem Setters for Competitive Programming ICLR 59 T1110 papersGroup size not listed HK CUHKDepartment of Systems Engineering and Engineering Management Dec 1
Works on Chinese language processing, information retrieval and databases.
2026 EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget ICLR 2026 Enhancing Event Causality Extraction With Mention-Level Causal Evidence and Global Causal Graph Reasoning TKDE 54 T190 papersGroup size not listed CN TsinghuaSchool of Software Feb 28
Works on machine learning, especially transfer learning, deep learning, and knowledge learning for AI and industrial data software.
2026 Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers ICML 2026 Deep Time Series Models: A Comprehensive Survey and Benchmark TPAMI 54 T156 papers17 members33 alumniUS Georgia TechSchool of Computational Science and Engineering Dec 15
Chao Zhang Edenfield Early-Career Associate Professor Researches label-efficient text mining, knowledge extraction and natural language processing with large language models.
2026 MLE-Smith: Scaling MLE Tasks with Automated Multi-agent Pipeline ICLR 2026 Towards Diverse Scientific Hypothesis Search with Large Language Models ICML 51 T166 papers9 members9 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 CN ZhejiangSchool of Artificial Intelligence Feb 28
Works on NLP including information extraction, knowledge graphs and question answering, plus large models, agents and digital libraries.
2026 AutoTaskEval: Towards Domain-Specific and Fine-Grained Evaluation for LLMs ACL 2026 CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution ACL 45 T166 papersGroup size not listed GB EdinburghSchool of Informatics
Researches knowledge computing, including knowledge graphs, ontology reasoning and the combination of knowledge graphs with large language models.
2026 Beyond Timestamps: Bridging Forward and Backward Reasoning in Temporal Numerical and Relational Understanding ACL 2026 From Sufficiency to Reflection: Reinforcement-Guided Thinking Quality in Retrieval-Augmented Reasoning for LLMs EMNLP 44 T183 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 alumniCH EPFLSchool of Computer and Communication Sciences (IC) Dec 1
Leads the EPFL NLP group, building language systems that represent and reason about knowledge, including commonsense reasoning and knowledge-grounded language…
2026 AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking ICLR 2026 AI meets Mathematics Education: Supporting Instructors in Large Mathematics Classes with Context-Aware AI CHI 41 T161 papers10 members19 alumniCN ZhejiangSchool of Software Technology Feb 28
Works on knowledge graphs, information extraction and knowledge-enhanced large language models.
2025 InBox: Recommendation with Knowledge Graph using Interest Box Embedding VLDB 2024 Agent Planning with World Knowledge Model NeurIPS 41 T169 papers53 membersCN ZhejiangCollege of Computer Science and Technology Feb 28
Works on machine learning for graphs, time series and healthcare, including multi-view graph experts, implicit neural representations for time-series anomaly…
2026 Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection AAAI 2026 Code-Based English Models Reveal Surprising Performance on Chinese QA Pair Extraction Task SIGIR 40 T180 papersGroup size not listed US UWPaul G. Allen School of Computer Science & Engineering Dec 15
Develops open language models, retrieval-augmented generation and question answering with reasoning over knowledge.
2026 DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research ICML 2026 RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments ICML 38 T161 papers11 members26 alumniCN ZhejiangCollege of Computer Science and Technology Feb 28
Works on computer vision and multimedia information retrieval.
2026 AgentVLN: Towards Agentic Vision-and-Language Navigation ECCV 2026 ChatTracker: Enhancing Visual Tracking via LLM-Driven Iterative Description Refinement TPAMI 38 T161 papersGroup size not listed US UWPaul G. Allen School of Computer Science & Engineering Dec 15
Develops reliable machine learning methods, including robustness to distribution shift and retrieval-based language models.
2026 Anchored decoding: Provably reducing copyright risk for any language model ICML 2026 Cold-start personalization via training-free priors from structured world models ICML 38 T162 papers8 members11 alumni