Jiawei Han
Professor
Studies data mining and text mining, including knowledge graph construction, information network analysis and mining with large language models.
Jiawei Han's lab at UIUC works on graph mining & networks, data management & big data and large language models. 127 papers since 2023, 95 at top venues, mostly EMNLP and ICLR. 12 PhD students and 2 master's students. 151 alumni. Applications close .
At a glance
- papers, 2023–2026
- 33/ year
- at T1 venues
- 75%
- PhD students
- 12
- MS students
- 2
- alumni listed
- 151
Papers by yearfrom DBLP, 2023–2026
- 20 papers2026 · T1 11 · collecting
- 31 papers2025 · T1 29
- 37 papers2024 · T1 26
- 39 papers2023 · T1 29
T1 venuesOtherVenues: EMNLP, ICLR, KDD, WWW, ACL
Research focuspaper titles that use each topic's words
- Large language models52 papers
- Graph mining & networks20 papers
- Data management & big data7 papers
- mining4 papers
- studies data0 papers
Paper list
From DBLP.
202620 papers
- Trans. Mach. Learn. Res.A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents (opens in a new tab)
- Bioinform.Cell-o1 : training LLMs to solve single-cell reasoning puzzles with reinforcement learning (opens in a new tab)
- KDD (T1)Condition-Gated Reasoning for Context-Dependent Biomedical Question Answering (opens in a new tab)
- KDD (T1)CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval (opens in a new tab)
- IJCAI/ECAIDeep Learning and Foundation Models for Weather Prediction: A Survey (opens in a new tab)
- Trans. Mach. Learn. Res.Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning (opens in a new tab)
- ICLR (T1)Geometric Constraints for Small Language Models to Understand and Expand Scientific Taxonomies (opens in a new tab)
- ICLR (T1)GRACE: Generative Representation Learning via Contrastive Policy Optimization (opens in a new tab)
- Findings of ACLGrounding Agent Memory in Contextual Intent (opens in a new tab)
- ICLR (T1)mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules (opens in a new tab)
- Comput. Biol. MedicineNatural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF (opens in a new tab)
- WWW (T1)PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval (opens in a new tab)
202531 papers
- ICLR (T1)A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts (opens in a new tab)
- Findings of ACLA Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion (opens in a new tab)
- ACL (T1)Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims (opens in a new tab)
- AAAI (T1)Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations (opens in a new tab)
- ACL (T1)Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? (opens in a new tab)
- WWW (T1)Chain-of-Factors Paper-Reviewer Matching (opens in a new tab)
- IJCAI (T1)CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification (opens in a new tab)
- NeurIPS (T1)DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation (opens in a new tab)
- NeurIPS (T1)FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models (opens in a new tab)
- CVPR (T1)GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs (opens in a new tab)
- NeurIPS (T1)Hybrid Latent Reasoning via Reinforcement Learning (opens in a new tab)
- WSDM (T1)Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation (opens in a new tab)
202437 papers
- EMNLP (T1)A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (opens in a new tab)
- ACL (T1)ActionIE: Action Extraction from Scientific Literature with Programming Languages (opens in a new tab)
- KDD (T1)Automated Mining of Structured Knowledge from Text in the Era of Large Language Models (opens in a new tab)
- WSDM (T1)Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery (opens in a new tab)
- Findings of EACLChem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction (opens in a new tab)
- NAACL (T1)GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models (opens in a new tab)
- SDMGeospatial Topological Relation Extraction from Text with Knowledge Augmentation (opens in a new tab)
- Findings of ACLGraph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (opens in a new tab)
- EMNLP (T1)Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction (opens in a new tab)
- LREC/COLINGILCiteR: Evidence-grounded Interpretable Local Citation Recommendation (opens in a new tab)
- WWW (T1)Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy (opens in a new tab)
- Findings of EMNLPInstruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging (opens in a new tab)
202339 papers
- EMNLP (T1)Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories (opens in a new tab)
- ACL (T1)Compositional Data Augmentation for Abstractive Conversation Summarization (opens in a new tab)
- ECML-PKDDCorpus-Based Relation Extraction by Identifying and Refining Relation Patterns (opens in a new tab)
- Findings of ACLDynaMiTE: Discovering Explosive Topic Evolutions with User Guidance (opens in a new tab)
- EMNLP (T1)Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation (opens in a new tab)
- ICLR (T1)Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks (opens in a new tab)
- WSDM (T1)Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts (opens in a new tab)
- Knowl. Inf. Syst.Embedding text-rich graph neural networks with sequence and topical semantic structures (opens in a new tab)
- TKDE (T1)Entity Linking Meets Deep Learning: Techniques and Solutions (opens in a new tab)
- WSDM (T1)FineSum: Target-Oriented, Fine-Grained Opinion Summarization (opens in a new tab)
- TKDE (T1)GCN for HIN via Implicit Utilization of Attention and Meta-Paths (opens in a new tab)
- SIGSPATIAL/GISGeospatial Knowledge Hypercube (opens in a new tab)
Where alumni went151 listed
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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