Faculty

Institution

Unit

Venue

Jiawei Han

Michael Aiken Chair Professor

UIUC

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Jiawei Han is currently serving as a Siebel School Of Computing And Data Science Michael Aiken Chair Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jiawei Han

UIUC

Michael Aiken Chair Professor

You can click a keyword to filter the displayed items

data science knowledge discovery computer science data mining information retrieval text mining semantic evaluation natural language processing granular computing machine learning research linguistics analytics machine learning databases pattern recognition clustering pattern mining statistics semantic web web search natural language generation knowledge-based systems frequent pattern mining global networks pattern discovery information extraction computational statistics graph analysis entity disambiguation informetrics computational intelligence structure mining topic models knowledge extraction online information document clustering knowledge discovery process graph processing nlp task knowledge graph embeddings named-entity recognition optimization-based data mining data stream mining image representation association rules unsupervised machine learning graph neural networks relationship extraction outlier detection cluster computing semantic networks word embeddings social medium mining anomaly detection link prediction big spatiotemporal data analytics similarity search streaming algorithms semantic similarity data streams heterogeneous information networks information networks entity recognition frequent patterns information network sequential patterns truth discovery search space distant supervision sequential pattern mining efficient mining topic modeling spectral regression human language technologies data cubes large databases informatics biomedical informatics natural computing biological computation biocybernetics biological data systems biology artificial intelligence intelligent systems computational biology bioinformatics

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved Llm Agents. (2025)

agent decision-makingapproximate reasoningintelligent agentscomputer sciencecognitive sciencedata sciencerobot learningcomputational intelligencellm-based agentcomputer-assisted reasoningreinforcement learningknowledge representation and reasoningmachine intelligencemulti-agent learningartificial societyintelligent systemsinferenceintelligent computingartificial intelligenceautomated reasoningmultiagent systemsevolutionary intelligence

A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion. Findings of the Association for Computational Linguistics: ACL 2022 (2025)

Yanzhen ShenYu ZhangYunyi ZhangJiawei Han

entity set expansioninformation retrievalcomputational semanticstaxonomy expansionlanguage modelssemantic evaluationknowledge extractionnatural language processingdata scienceterminology managementlanguageknowledge-based systemsterminology extractioncomputational linguisticslinguisticsentity disambiguation

Benchmarking Retrieval-Augmented Generation for Chemistry. (2025)

computational chemistrycomputational scienceinformation retrievalcomputer sciencemolecular propertieschemical analysismolecular informaticsgeneral chemistrychemistry

Bi-Level Contrastive Learning for Knowledge-Enhanced Molecule Representations. (2025)

computational chemistrymolecular propertiescomputational biologymolecular informaticsmolecular modellingmolecular designdata sciencemolecular sciencesystems biology

Bi-Level Contrastive Learning for Knowledge-Enhanced Molecule Representations. Proceedings of the AAAI Conference on Artificial Intelligence (2025)

Pengcheng JiangCao XiaoTianfan FuParminder BhatiaTaha Kass-HoutJimeng SunJiawei Han

molecular propertiesmachine learningknowledge discoverygraph neural networksmolecular informaticsknowledge graphsdata scienceknowledge graph embeddingsmolecular representation learningsystems biologybi-level contrastive learningknowledge-enhanced molecule representationsmachine learning researchneural network (machine learning)

Can Graph Neural Networks Learn Language With Extremely Weak Text Supervision?. (2025)

Zihao LiLecheng ZhengBowen JinDongqi FuBaoyu JingYikun BanJingrui HeJiawei Han

computer sciencelanguage modelsmachine learningnatural language processinggraph neural networksnatural languagelanguagelarge language modelsstructured predictionmachine learning researchlanguage learningneural network (machine learning)

Chain-Of-Factors Paper-Reviewer Matching. (2025)

information retrievalstatisticsdata sciencescientometricsparallel analysisinformetricsanalyticsquality reviewtext mining

Chain-Of-Factors Paper-Reviewer Matching. (2025)

Yu ZhangYanzhen ShenSeongKu KangXiusi ChenBowen JinJiawei Han

chain-of-factors paper-reviewer matchinginformation retrievalstatisticsrecommender systemsdata miningquality reviewsoftware review

Deep Learning and Foundation Models for Weather Prediction: A Survey. (2025)

deep learningmachine learningapplied meteorologyurban climateflood risk managementnumerical weather predictionneural network (machine learning)climate forecastingmeteorologydata sciencemachine learning researchclimatologyearth scienceweather forecastingclimate modelsdigital earthforecastinggeographyrecurrent neural networkshydrometeorologygeoscientific model developmenthydroinformatics

DEEPRETRIEVAL: Hacking Real Search Engines and Retrievers With Large Language Models via Reinforcement Learning. (2025)

machine learningreward hackingnatural language generationinteractive information retrievalcomputer sciencesemantic evaluationdata sciencelarge language modelslarge ai modelmachine learning researchinformation retrievalmachine translationcomputational intelligencelanguage modelsnatural language processingreinforcement learninglinguisticsweb searchlanguage resourcesretrieval augmented generationartificial intelligencecomputational linguistics

1
2
3
4
5
236
10 / page

Jiawei Han

Michael Aiken Chair Professor

UIUC

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Jiawei Han is currently serving as a Siebel School Of Computing And Data Science Michael Aiken Chair Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jiawei Han

UIUC

Michael Aiken Chair Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved Llm Agents. (2025)

A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion. Findings of the Association for Computational Linguistics: ACL 2022 (2025)

Yanzhen ShenYu ZhangYunyi ZhangJiawei Han

Benchmarking Retrieval-Augmented Generation for Chemistry. (2025)

computational chemistrycomputational scienceinformation retrievalcomputer sciencemolecular propertieschemical analysismolecular informaticsgeneral chemistrychemistry

Bi-Level Contrastive Learning for Knowledge-Enhanced Molecule Representations. (2025)

computational chemistrymolecular propertiescomputational biologymolecular informaticsmolecular modellingmolecular designdata sciencemolecular sciencesystems biology

Bi-Level Contrastive Learning for Knowledge-Enhanced Molecule Representations. Proceedings of the AAAI Conference on Artificial Intelligence (2025)

Pengcheng JiangCao XiaoTianfan FuParminder BhatiaTaha Kass-HoutJimeng SunJiawei Han

Can Graph Neural Networks Learn Language With Extremely Weak Text Supervision?. (2025)

Zihao LiLecheng ZhengBowen JinDongqi FuBaoyu JingYikun BanJingrui HeJiawei Han

Chain-Of-Factors Paper-Reviewer Matching. (2025)

information retrievalstatisticsdata sciencescientometricsparallel analysisinformetricsanalyticsquality reviewtext mining

Chain-Of-Factors Paper-Reviewer Matching. (2025)

Yu ZhangYanzhen ShenSeongKu KangXiusi ChenBowen JinJiawei Han

chain-of-factors paper-reviewer matchinginformation retrievalstatisticsrecommender systemsdata miningquality reviewsoftware review

Deep Learning and Foundation Models for Weather Prediction: A Survey. (2025)

DEEPRETRIEVAL: Hacking Real Search Engines and Retrievers With Large Language Models via Reinforcement Learning. (2025)

1
2
3
4
5
236
10 / page