← Authors

Huajun Chen

130 papers · 2017–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (8) 🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (22) 🏠 Conference Loyalist (27) 🀝 Dynamic Duo (77) πŸ‘‘ Triple Crown πŸ† Keyword Champion (4) πŸ† Grand Slam πŸ‘₯ Mega-Team (20) πŸ”¬ Deep Specialist (24) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) ⚑ Prolific Year (17) πŸ’Ž Century Club (126) ❓ The Questioner (6) πŸ—ƒοΈ Keyword Collector (73)

Conferences

ACL (31) EMNLP (27) AAAI (18) IJCAI (13) ICLR (12) NIPS (9) COLING (8) IJCNLP (4) NAACL (4) ICML (2) SEMEVAL (2)

Top co-authors

Ningyu Zhang (78) Shumin Deng (41) Wen Zhang (30) Fei Huang (23) Xiang Chen (21) Qiang Zhang (21) Yunzhi Yao (16) Zhuo Chen (16) Lei Liang (15) Shuofei Qiao (14)

Research topics

Science (1)

Keywords

large language model (38) knowledge graph (22) knowledge editing (13) knowledge graph embedding (10) contrastive learning (8) few-shot learning (8) link prediction (7) zero-shot learning (7) language model (7) relation extraction (7) question answering (6) knowledge graph completion (6) model editing (6) knowledge transfer (5) graph neural network (5) multimodal learning (5) information extraction (5) instruction tuning (5) knowledge graph construction (5) named entity recognition (4)

Papers

Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra AAAI 2026
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study AAAI 2026
Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction AAAI 2026
Template-Theorems Graph Construction to Enhance Mathematical Reasoning Capabilities of LLM AAAI 2026
SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models ICLR 2025
K-ON: Stacking Knowledge on the Head Layer of Large Language Model AAAI 2025
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation AAAI 2025
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering AAAI 2025
Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking ACL 2025
ReLearn: Unlearning via Learning for Large Language Models ACL 2025
CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs ACL 2025
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition ACL 2025
Croppable Knowledge Graph Embedding ACL 2025
Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization ACL 2025
Agentic Knowledgeable Self-awareness ACL 2025
EventRAG: Enhancing LLM Generation with Event Knowledge Graphs ACL 2025
RiOT: Efficient Prompt Refinement with Residual Optimization Tree ACL 2025
Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning ACL 2025
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms ACL 2025
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement ACL 2025
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training ACL 2025
Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning ACL 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. ACL 2025
Noise-powered Multi-modal Knowledge Graph Representation Framework COLING 2025
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking EMNLP 2025
Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching EMNLP 2025
RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models EMNLP 2025
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners EMNLP 2025
LightThinker: Thinking Step-by-Step Compression EMNLP 2025
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models EMNLP 2025
Exploring Model Kinship for Merging Large Language Models EMNLP 2025
SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs EMNLP 2025
Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning ICLR 2025
Benchmarking Agentic Workflow Generation ICLR 2025
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation ICLR 2025
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents NAACL 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. SEMEVAL 2025
IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus ACL 2024
OceanGPT: A Large Language Model for Ocean Science Tasks ACL 2024
Unified Hallucination Detection for Multimodal Large Language Models ACL 2024
Editing Conceptual Knowledge for Large Language Models EMNLP 2024
RaFe: Ranking Feedback Improves Query Rewriting for RAG EMNLP 2024
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models EMNLP 2024
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs EMNLP 2024
Knowledge Mechanisms in Large Language Models: A Survey and Perspective EMNLP 2024
Detoxifying Large Language Models via Knowledge Editing ACL 2024
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning ACL 2024
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction ACL 2024
Enhancing Cross Text-Molecule Learning by Self-Augmentation ACL 2024
EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models ACL 2024
Knowledge-aware Reinforced Language Models for Protein Directed Evolution ICML 2024
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection IJCAI 2024
Continual Multimodal Knowledge Graph Construction IJCAI 2024
InstructEdit: Instruction-Based Knowledge Editing for Large Language Models IJCAI 2024
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models NIPS 2024
Editing Language Model-Based Knowledge Graph Embeddings AAAI 2024
When Do Program-of-Thought Works for Reasoning? AAAI 2024
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering ACL 2024
DET: A Dual-Encoding Transformer for Relational Graph Embedding COLING 2024
Prompt-fused Framework for Inductive Logical Query Answering COLING 2024
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion COLING 2024
MKGL: Mastery of a Three-Word Language NIPS 2024
Knowledge Circuits in Pretrained Transformers NIPS 2024
Agent Planning with World Knowledge Model NIPS 2024
DePLM: Denoising Protein Language Models for Property Optimization NIPS 2024
Domain-Agnostic Molecular Generation with Chemical Feedback ICLR 2024
Unveiling the Pitfalls of Knowledge Editing for Large Language Models ICLR 2024
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models ICLR 2024
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models ICLR 2024
Making Language Models Better Tool Learners with Execution Feedback NAACL 2024
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs EMNLP 2024
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models ACL 2024
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding AAAI 2023
Graph Sampling-based Meta-Learning for Molecular Property Prediction IJCAI 2023
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER IJCAI 2023
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs IJCAI 2023
Knowledge Rumination for Pre-trained Language Models EMNLP 2023
Editing Large Language Models: Problems, Methods, and Opportunities EMNLP 2023
Can We Edit Multimodal Large Language Models? EMNLP 2023
Schema-adaptable Knowledge Graph Construction EMNLP 2023
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems NIPS 2023
Multi-level Protein Structure Pre-training via Prompt Learning ICLR 2023
Multimodal Analogical Reasoning over Knowledge Graphs ICLR 2023
DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning AAAI 2023
Analogical Inference Enhanced Knowledge Graph Embedding AAAI 2023
Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract) AAAI 2023
On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract) AAAI 2023
Learning Invariant Molecular Representation in Latent Discrete Space NIPS 2023
Reasoning with Language Model Prompting: A Survey ACL 2023
Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract) AAAI 2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding ICLR 2022
Ruleformer: Context-aware Rule Mining over Knowledge Graph COLING 2022
Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce EMNLP 2022
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting COLING 2022
Generative Knowledge Graph Construction: A Review EMNLP 2022
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners ICLR 2022
Understanding and Improving Knowledge Graph Embedding for Entity Alignment ICML 2022
Neural-Symbolic Entangled Framework for Complex Query Answering NIPS 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study EMNLP 2022
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction NAACL 2022
Contrastive Demonstration Tuning for Pre-trained Language Models EMNLP 2022
Deep Reinforcement Learning for Entity Alignment ACL 2022
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning NIPS 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting IJCAI 2022
Molecular Contrastive Learning with Chemical Element Knowledge Graph AAAI 2022
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning SEMEVAL 2021
Knowledge-aware Zero-Shot Learning: Survey and Perspective IJCAI 2021
Contrastive Triple Extraction with Generative Transformer AAAI 2021
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining IJCAI 2021
Document-level Relation Extraction as Semantic Segmentation IJCAI 2021
OntoED: Low-resource Event Detection with Ontology Embedding ACL 2021
MLBiNet: A Cross-Sentence Collective Event Detection Network ACL 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning ACL 2021
OntoED: Low-resource Event Detection with Ontology Embedding IJCNLP 2021
MLBiNet: A Cross-Sentence Collective Event Detection Network IJCNLP 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning IJCNLP 2021
Zero-shot Text Classification via Reinforced Self-training ACL 2020
Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention EMNLP 2020
OpenUE: An Open Toolkit of Universal Extraction from Text EMNLP 2020
Neural Entity Summarization with Joint Encoding and Weak Supervision IJCAI 2020
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction COLING 2020
When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract) AAAI 2020
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification COLING 2020
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs IJCNLP 2019
Augmenting Transfer Learning with Semantic Reasoning IJCAI 2019
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks NAACL 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs EMNLP 2019
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding EMNLP 2018
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction EMNLP 2018
Learning from Ontology Streams with Semantic Concept Drift IJCAI 2017