Jiawei Han

166 papers · 2009–2026 · 14 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (22) 🌈 Renaissance Researcher (12) 🐝 Cross-Pollinator (11) 🏃 Academic Marathon (16) 🌍 Conference Polyglot (14) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (36) 🧬 Topic Evolution 🤝 Dynamic Duo (42) 🏆 Grand Slam 👥 Mega-Team (71) 👑 Triple Crown 🔬 Deep Specialist (25) 🏆 Keyword Champion ⚡ Prolific Year (11) 🗃️ Keyword Collector (61) 📈 Trend Setter 💎 Century Club (165) 🔥 Unstoppable (14) ❓ The Questioner 🚀 Conference Pioneer

Conferences

EMNLP (47) ACL (36) NAACL (16) ICLR (14) NIPS (11) ICML (8) IJCNLP (8) IJCAI (7) AAAI (5) COLING (5) AISTATS (4) CVPR (2) EACL (2) ECCV (1)

Top co-authors

Heng Ji (42) Yuning Mao (18) Yu Meng (18) Xiang Ren (15) Yunyi Zhang (14) Jiaming Shen (14) Sha Li (14) Ming Zhong (13) Bowen Jin (13) Liyuan Liu (12)

Research topics

Keywords

large language model (21) unsupervised learning (10) named entity recognition (10) zero-shot learning (9) graph neural network (9) event extraction (8) information extraction (8) language model (8) distant supervision (8) representation learning (7) information retrieval (7) few-shot learning (6) knowledge graph (6) contrastive learning (6) relation extraction (6) multimodal learning (5) dense retrieval (5) text classification (5) reinforcement learning (5) knowledge base (5)

Papers

Zero-Shot Open-Schema Entity Structure Discovery EACL 2026

Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis ACL 2025

Synergistic Weak-Strong Collaboration by Aligning Preferences ACL 2025

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL 2025

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval ICLR 2025

Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG ICLR 2025

Scaling Diffusion Language Models via Adaptation from Autoregressive Models ICLR 2025

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph ICLR 2025

Law of the Weakest Link: Cross Capabilities of Large Language Models ICLR 2025

CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification IJCAI 2025

A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts ICLR 2025

Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking EMNLP 2025

s3: You Don’t Need That Much Data to Train a Search Agent via RL EMNLP 2025

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective ICML 2025

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations AAAI 2025

Topic Coverage-based Demonstration Retrieval for In-Context Learning EMNLP 2025

PropRAG: Guiding Retrieval with Beam Search over Proposition Paths EMNLP 2025

Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding CVPR 2025

GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs CVPR 2025

A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion ACL 2025

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora ACL 2025

Synergizing Unsupervised Episode Detection with LLMs for Large-Scale News Events ACL 2025

Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims ACL 2025

Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction EACL 2024

InstructG2I: Synthesizing Images from Multimodal Attributed Graphs NIPS 2024

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge NIPS 2024

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains AAAI 2024

ActionIE: Action Extraction from Scientific Literature with Programming Languages ACL 2024

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs ACL 2024

Text2DB: Integration-Aware Information Extraction with Large Language Model Agents ACL 2024

ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation COLING 2024

Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation ECCV 2024

Taxonomy-guided Semantic Indexing for Academic Paper Search EMNLP 2024

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery EMNLP 2024

Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction EMNLP 2024

Topic-Oriented Open Relation Extraction with A Priori Seed Generation EMNLP 2024

Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play EMNLP 2024

Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging EMNLP 2024

Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation EMNLP 2024

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective ICLR 2024

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs ICLR 2024

Representation Deficiency in Masked Language Modeling ICLR 2024

Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024

Language Models as Semantic Indexers ICML 2024

Structured Chemistry Reasoning with Large Language Models ICML 2024

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space ICML 2024

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter ICML 2024

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming NAACL 2024

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale NAACL 2024

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models NAACL 2024

Large Language Models Can Self-Improve EMNLP 2023

Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models ACL 2023

MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities EMNLP 2023

Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data EMNLP 2023

RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor EMNLP 2023

PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training EMNLP 2023

Instruct and Extract: Instruction Tuning for On-Demand Information Extraction EMNLP 2023

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation EMNLP 2023

GLEN: General-Purpose Event Detection for Thousands of Types EMNLP 2023

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions EMNLP 2023

Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories EMNLP 2023

DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance ACL 2023

Patton: Language Model Pretraining on Text-Rich Networks ACL 2023

Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification ACL 2023

Compositional Data Augmentation for Abstractive Conversation Summarization ACL 2023

Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning ICML 2023

ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision ACL 2023

Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks ICLR 2023

Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion ACL 2022

Open Relation and Event Type Discovery with Type Abstraction EMNLP 2022

CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision EMNLP 2022

Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation EMNLP 2022

PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion EMNLP 2022

Unsupervised Multi-Granularity Summarization EMNLP 2022

Open-Vocabulary Argument Role Prediction For Event Extraction EMNLP 2022

Phrase-aware Unsupervised Constituency Parsing ACL 2022

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning ACL 2022

RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios NAACL 2022

SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction NAACL 2022

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds NAACL 2022

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding NIPS 2022

Chemical-Reaction-Aware Molecule Representation Learning ICLR 2022

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators ICLR 2022

Towards a Unified Multi-Dimensional Evaluator for Text Generation EMNLP 2022

Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation EMNLP 2021

Reader-Guided Passage Reranking for Open-Domain Question Answering IJCNLP 2021

Training ELECTRA Augmented with Multi-word Selection IJCNLP 2021

The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction EMNLP 2021

ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision EMNLP 2021

Corpus-based Open-Domain Event Type Induction EMNLP 2021

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training EMNLP 2021

Few-Shot Named Entity Recognition: An Empirical Baseline Study EMNLP 2021

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup IJCNLP 2021

Event Time Extraction and Propagation via Graph Attention Networks NAACL 2021

Document-Level Event Argument Extraction by Conditional Generation NAACL 2021

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names NAACL 2021

CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding ICLR 2021

On the Transformer Growth for Progressive BERT Training NAACL 2021

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation NAACL 2021

RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System NAACL 2021

Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data NIPS 2021

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining NIPS 2021

Universal Graph Convolutional Networks NIPS 2021

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization NIPS 2021

Open-Domain Question Answering with Pre-Constructed Question Spaces NAACL 2021

TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract) IJCAI 2021

Generation-Augmented Retrieval for Open-Domain Question Answering ACL 2021

Reader-Guided Passage Reranking for Open-Domain Question Answering ACL 2021

Training ELECTRA Augmented with Multi-word Selection ACL 2021

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup ACL 2021

Generation-Augmented Retrieval for Open-Domain Question Answering IJCNLP 2021

Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding EMNLP 2020

On the Variance of the Adaptive Learning Rate and Beyond ICLR 2020

When Do GNNs Work: Understanding and Improving Neighborhood Aggregation IJCAI 2020

Empower Entity Set Expansion via Language Model Probing ACL 2020

EVIDENCEMINER: Textual Evidence Discovery for Life Sciences ACL 2020

Facet-Aware Evaluation for Extractive Summarization ACL 2020

Text Classification Using Label Names Only: A Language Model Self-Training Approach EMNLP 2020

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery EMNLP 2020

Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding EMNLP 2020

Understanding the Difficulty of Training Transformers EMNLP 2020

Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning EMNLP 2020

Unsupervised Attributed Multiplex Network Embedding AAAI 2020

Arabic Named Entity Recognition: What Works and What’s Next ACL 2019

Mining Entity Synonyms with Efficient Neural Set Generation AAAI 2019

Hierarchical Text Classification with Reinforced Label Assignment IJCNLP 2019

Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations EMNLP 2019

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations IJCNLP 2019

Weakly-Supervised Hierarchical Text Classification AAAI 2019

Reliability-aware Dynamic Feature Composition for Name Tagging ACL 2019

Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings ACL 2019

Biomedical Event Extraction based on Knowledge-driven Tree-LSTM NAACL 2019

Spherical Text Embedding NIPS 2019

End-to-End Reinforcement Learning for Automatic Taxonomy Induction ACL 2018

Entropy-Based Subword Mining with an Application to Word Embeddings NAACL 2018

Learning Named Entity Tagger using Domain-Specific Dictionary EMNLP 2018

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling EMNLP 2018

Identifying Semantically Deviating Outlier Documents EMNLP 2017

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach EMNLP 2017

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences ACL 2017

Liberal Event Extraction and Event Schema Induction ACL 2016

FastHybrid: A Hybrid Model for Efficient Answer Selection COLING 2016

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding EMNLP 2016

Learning Hostname Preference to Enhance Search Relevance IJCAI 2016

Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction IJCAI 2016

Cross-media Event Extraction and Recommendation NAACL 2016

Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation ICML 2016

Context-aware Entity Morph Decoding IJCNLP 2015

Successful Data Mining Methods for NLP IJCNLP 2015

Successful Data Mining Methods for NLP ACL 2015

Context-aware Entity Morph Decoding ACL 2015

Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations IJCAI 2015

Robust Tensor Decomposition with Gross Corruption NIPS 2014

The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding COLING 2014

Be Appropriate and Funny: Automatic Entity Morph Encoding ACL 2014

Resolving Entity Morphs in Censored Data ACL 2013

Large-Scale Spectral Clustering on Graphs IJCAI 2013

Clustered Support Vector Machines AISTATS 2013

Unsupervised Link Selection in Networks AISTATS 2013

Selective Labeling via Error Bound Minimization NIPS 2012

Locality Preserving Feature Learning AISTATS 2012

A Variance Minimization Criterion to Active Learning on Graphs AISTATS 2012

Tweet Ranking Based on Heterogeneous Networks COLING 2012

Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions COLING 2010

Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009