Jiawei Han
166 papers · 2009–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (22) π Interdisciplinary Bridge π Conference Polyglot (14)
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Interdisciplinary Bridge
π£
Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(5)
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Conference Loyalist
(36)
π§¬
Topic Evolution
π€
Dynamic Duo
(42)
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Grand Slam
π₯
Mega-Team
(71)
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Triple Crown
π¬
Deep Specialist
(25)
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Keyword Champion
β‘
Prolific Year
(11)
ποΈ
Keyword Collector
(61)
π
Trend Setter
π
Century Club
(165)
π₯
Unstoppable
(14)
β
The Questioner
π
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
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 Donβt 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 Whatβs 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