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 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 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 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 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 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 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 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 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 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 alumniGB EdinburghSchool of Informatics
Pasquale Minervini Lecturer in Natural Language Processing Researches large language models, including retrieval-augmented generation, model steering, evaluation and knowledge graph reasoning.
2026 Can Retrieval Heads See Images? Multimodal Retrieval Heads in Long-Context Vision-Language Models EMNLP 2026 Do Composed Image Retrieval Benchmarks Require Multimodal Composition? NeurIPS 36 T169 papersGroup size not listed SG NTUCollege of Computing and Data Science
Works on data management, data mining and machine learning, including graph learning and data-intensive algorithms.
2026 A Comprehensive Benchmark on Spectral GNNs: The lmpact on Efficiency, Memory, and Effectiveness. SIGMOD 2026 ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads. VLDB 36 T146 papers10 members7 alumniCN ZhejiangSchool of Artificial Intelligence Feb 28
Studies AI on large-scale graph and time-series data, including self-supervised and foundation models for brain signals such as epileptic-wave detection.
2026 [Code] IJCAI 2026 Assembling the Mind‘s Mosaic: Towards EEG Semantic Intent Decoding ICLR 35 T153 papers26 members40 alumniUS MichiganComputer Science and Engineering Dec 15
Danai Koutra Associate Professor, EECS – Computer Science and Engineering Studies data mining and graph learning, including graph summarization, network alignment and large-scale graph analysis.
2026 AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents WWW 2026 Beyond Unimodal Perspectives: Generative Retrieval with Multimodal Semantics SIGIR 34 T143 papers8 members46 alumniUS CMUComputer Science Department Dec 9
Christos Faloutsos Fredkin University Professor of Computer Science Mines large graphs and time series, with work on graph patterns, anomaly detection and fraud detection.
2026 From Big Time Series Forecasting to Foundation Models for Structured Data VLDB 2026 Understanding the Implicit Biases of Design Choices for Time Series Foundation Models ICLR 33 T155 papersGroup size not listed CN SJTUSchool of Computer Science May 31
Luoyi Fu Distinguished Professor Works on network science and social network analysis, including academic knowledge graphs.
2026 : One LLM Token for Explicit Graph Structural Understanding ICLR 2026 Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets ICLR 33 T165 papers2 members