Huajun Chen

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 324

Top Venues

Publications

Yushan Zhu, Wen Zhang, Yajing Xu, Zhen Yao, Mingyang Chen, Huajun Chen
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network. CoRR (2024)
Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Ningyu Zhang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen
InstructEdit: Instruction-based Knowledge Editing for Large Language Models. CoRR (2024)
Zezhong Xu, Peng Ye, Lei Liang, Huajun Chen, Wen Zhang
Prompt-fused framework for Inductive Logical Query Answering. CoRR (2024)
Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen
Detoxifying Large Language Models via Knowledge Editing. ACL (1) (2024)
Yichi Zhang, Binbin Hu, Zhuo Chen, Lingbing Guo, Ziqi Liu, Zhiqiang Zhang, Lei Liang, Huajun Chen, Wen Zhang
Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks. CoRR (2024)
Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, Huilin Wang, Zhaowei Gao, Chunzhao Xie, Chuou Xu, Jihong Dai, Yibin Liu, Jialong Wu, Shengwei Ding, Long Li, Zhiwei Huang, Xinle Deng, Teng Yu, Gangan Ma, Han Xiao, Zixin Chen, Danjun Xiang, Yunxia Wang, Yuanyuan Zhu, Yi Xiao, Jing Wang, Yiru Wang, Siran Ding, Jiayang Huang, Jiayi Xu, Yilihamu Tayier, Zhenyu Hu, Yuan Gao, Chengfeng Zheng, Yueshu Ye, Yihang Li, Lei Wan, Xinyue Jiang, Yujie Wang, Siyu Cheng, Zhule Song, Xiangru Tang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang, Wangchunshu Zhou
Weaver: Foundation Models for Creative Writing. CoRR (2024)
Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen
Unveiling the Pitfalls of Knowledge Editing for Large Language Models. ICLR (2024)
Jinlu Zhang, Yin Fang, Xin Shao, Huajun Chen, Ningyu Zhang, Xiaohui Fan
The Future of Molecular Studies through the Lens of Large Language Models. J. Chem. Inf. Model. 64 (3) (2024)
Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion. CoRR (2024)
Zhen Bi, Ningyu Zhang, Yida Xue, Yixin Ou, Daxiong Ji, Guozhou Zheng, Huajun Chen
OceanGPT: A Large Language Model for Ocean Science Tasks. ACL (1) (2024)
Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan, Huajun Chen
Domain-Agnostic Molecular Generation with Chemical Feedback. ICLR (2024)
Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Huajun Chen, Wen Zhang
MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion. CoRR (2024)
Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
NativE: Multi-modal Knowledge Graph Completion in the Wild. SIGIR (2024)
Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning. ACL (1) (2024)
Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen
AUTOACT: Automatic Agent Learning from Scratch via Self-Planning. CoRR (2024)
Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen
Detoxifying Large Language Models via Knowledge Editing. CoRR (2024)
Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang
LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities. World Wide Web (WWW) 27 (5) (2024)
Yichi Zhang, Zhuo Chen, Lei Liang, Huajun Chen, Wen Zhang
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion. LREC/COLING (2024)
Kehua Feng, Keyan Ding, Kede Ma, Zhihua Wang, Qiang Zhang, Huajun Chen
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition. CoRR (2024)
Zhen Bi, Jing Chen, Yinuo Jiang, Feiyu Xiong, Wei Guo, Huajun Chen, Ningyu Zhang
CodeKGC: Code Language Model for Generative Knowledge Graph Construction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23 (3) (2024)
Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen
Knowledge Circuits in Pretrained Transformers. CoRR (2024)
Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models. ICLR (2024)
Yinuo Jiang, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen
Enhancing Cross Text-Molecule Learning by Self-Augmentation. ACL (Findings) (2024)
Yichi Zhang, Zhuo Chen, Lei Liang, Huajun Chen, Wen Zhang
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion. CoRR (2024)
Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
NativE: Multi-modal Knowledge Graph Completion in the Wild. CoRR (2024)
Kehua Feng, Keyan Ding, Weijie Wang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models. CoRR (2024)
Zhuo Chen, Yin Fang, Yichi Zhang, Lingbing Guo, Jiaoyan Chen, Huajun Chen, Wen Zhang
The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework. CoRR (2024)
Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models. CoRR (2024)
Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen
IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus. CoRR (2024)
Yin Fang, Kangwei Liu, Ningyu Zhang, Xinle Deng, Penghui Yang, Zhuo Chen, Xiangru Tang, Mark Gerstein, Xiaohui Fan, Huajun Chen
ChatCell: Facilitating Single-Cell Analysis with Natural Language. CoRR (2024)
Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. ACL (1) (2024)
Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Ningyu Zhang, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents. CoRR (2024)
Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen
When Do Program-of-Thought Works for Reasoning? AAAI (2024)
Yichi Zhang, Zhuo Chen, Yin Fang, Yanxi Lu, Fangming Li, Wen Zhang, Huajun Chen
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. ACL (Findings) (2024)
Xiang Chen, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen
Sequence Labeling as Non-Autoregressive Dual-Query Set Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yichi Zhang, Zequn Sun, Zhongpu Bo, Yin Fang, Xiaoze Liu, Huajun Chen, Wen Zhang
Distributed representations of entities in open-world knowledge graphs. Knowl. Based Syst. 290 (2024)
Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang
Knowledge Mechanisms in Large Language Models: A Survey and Perspective. CoRR (2024)
Xiaohan Wang, Shengyu Mao, Ningyu Zhang, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen
Editing Conceptual Knowledge for Large Language Models. CoRR (2024)
Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang
RaFe: Ranking Feedback Improves Query Rewriting for RAG. CoRR (2024)
Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen
Unified Hallucination Detection for Multimodal Large Language Models. ACL (1) (2024)
Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
Agent Planning with World Knowledge Model. CoRR (2024)
Qiang Zhang, Keyang Ding, Tianwen Lyv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen
Scientific Large Language Models: A Survey on Biological & Chemical Domains. CoRR (2024)
Yixin Ou, Ningyu Zhang, Honghao Gui, Ziwen Xu, Shuofei Qiao, Yida Xue, Runnan Fang, Kangwei Liu, Lei Li, Zhen Bi, Guozhou Zheng, Huajun Chen
EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models. CoRR (2024)
Wen Zhang, Yajing Xu, Peng Ye, Zhiwei Huang, Zezhong Xu, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion. CoRR (2024)
Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. CoRR (2024)
Zezhong Xu, Yincen Qu, Wen Zhang, Lei Liang, Huajun Chen
InBox: Recommendation with Knowledge Graph using Interest Box Embedding. CoRR (2024)
Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen
A Comprehensive Study of Knowledge Editing for Large Language Models. CoRR (2024)
Shuofei Qiao, Honghao Gui, Chengfei Lv, Qianghuai Jia, Huajun Chen, Ningyu Zhang
Making Language Models Better Tool Learners with Execution Feedback. NAACL-HLT (2024)
Bozhong Tian, Xiaozhuan Liang, Siyuan Cheng, Qingbin Liu, Mengru Wang, Dianbo Sui, Xi Chen, Huajun Chen, Ningyu Zhang
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models. CoRR (2024)
Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbin Liu, Huajun Chen
Editing Language Model-Based Knowledge Graph Embeddings. AAAI (2024)
Tiancheng Li, Jinxiu Liu, Huajun Chen, Qi Liu
InstructRL4Pix: Training Diffusion for Image Editing by Reinforcement Learning. CoRR (2024)
Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Qiang Zhang, Huajun Chen
DET: A Dual-Encoding Transformer for Relational Graph Embedding. LREC/COLING (2024)
Wen Zhang, Long Jin, Yushan Zhu, Jiaoyan Chen, Zhiwei Huang, Junjie Wang, Yin Hua, Lei Liang, Huajun Chen
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering. CoRR (2024)
Wangchunshu Zhou, Yixin Ou, Shengwei Ding, Long Li, Jialong Wu, Tiannan Wang, Jiamin Chen, Shuai Wang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang
Symbolic Learning Enables Self-Evolving Agents. CoRR (2024)
Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Jinjie Gu, Huajun Chen
Unified Hallucination Detection for Multimodal Large Language Models. CoRR (2024)
Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models. ICLR (2024)
Yushan Zhu, Wen Zhang, Zhiqiang Liu, Mingyang Chen, Lei Liang, Huajun Chen
Croppable Knowledge Graph Embedding. CoRR (2024)
Huajun Chen, Yanguang Cai
An improved salp swarm algorithm for collaborative scheduling of discrete manufacturing logistics with time windows. Int. J. Auton. Adapt. Commun. Syst. 17 (3) (2024)
Zezhong Xu, Wen Zhang, Peng Ye, Lei Liang, Huajun Chen
Prompt-fused Framework for Inductive Logical Query Answering. LREC/COLING (2024)
Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Xiang Chen, Qian Li, Wen Zhang, Jiaoyan Chen, Yushan Zhu, Jiaqi Li, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey. CoRR (2024)
Huajun Chen, Yanguang Cai
A discrete bat algorithm for collaborative scheduling of discrete manufacturing logistics. Int. J. Auton. Adapt. Commun. Syst. 17 (2) (2024)
Yin Fang, Zhuo Chen, Xiaohui Fan, Ningyu Zhang, Huajun Chen
Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer. KSEM (1) (2024)
Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang
Editing Large Language Models: Problems, Methods, and Opportunities. EMNLP (2023)
Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z. Pan, Yangning Li, Huajun Chen, Wen Zhang
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment. CoRR (2023)
Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models. CoRR (2023)
Shengyu Mao, Ningyu Zhang, Xiaohan Wang, Mengru Wang, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
Editing Personality for LLMs. CoRR (2023)
Shuofei Qiao, Honghao Gui, Huajun Chen, Ningyu Zhang
Making Language Models Better Tool Learners with Execution Feedback. CoRR (2023)
Shumin Deng, Jiacheng Yang, Hongbin Ye, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen, Ningyu Zhang
LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Hongbin Ye, Honghao Gui, Xin Xu, Huajun Chen, Ningyu Zhang
Schema-adaptable Knowledge Graph Construction. CoRR (2023)
Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen
Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer. CoRR (2023)
Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen
Learning Invariant Molecular Representation in Latent Discrete Space. NeurIPS (2023)
Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. SIGIR (2023)
Xiang Chen, Jintian Zhang, Xiaohan Wang, Tongtong Wu, Shumin Deng, Yongheng Wang, Luo Si, Huajun Chen, Ningyu Zhang
Continual Multimodal Knowledge Graph Construction. CoRR (2023)
Zhen Bi, Ningyu Zhang, Yida Xue, Yixin Ou, Daxiong Ji, Guozhou Zheng, Huajun Chen
OceanGPT: A Large Language Model for Ocean Science Tasks. CoRR (2023)
Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. NeurIPS (2023)
Xiang Chen, Lei Li, Qiaoshuo Fei, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. CoRR (2023)
Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. CoRR (2023)
Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities. CoRR (2023)
Yichi Zhang, Zhuo Chen, Wen Zhang, Huajun Chen
Making Large Language Models Perform Better in Knowledge Graph Completion. CoRR (2023)
Yin Fang, Qiang Zhang, Ningyu Zhang, Zhuo Chen, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen
Knowledge graph-enhanced molecular contrastive learning with functional prompt. Nat. Mac. Intell. 5 (5) (2023)
Zeyuan Wang, Qiang Zhang, Shuangwei Hu, Haoran Yu, Xurui Jin, Zhichen Gong, Huajun Chen
Multi-level Protein Structure Pre-training via Prompt Learning. ICLR (2023)
Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen
Reasoning with Language Model Prompting: A Survey. ACL (1) (2023)
Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Huajun Chen
DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning. AAAI (2023)
Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen
Analogical Inference Enhanced Knowledge Graph Embedding. CoRR (2023)
Xiang Chen, Duanzheng Song, Honghao Gui, Chengxi Wang, Ningyu Zhang, Fei Huang, Chengfei Lv, Dan Zhang, Huajun Chen
Unveiling the Siren's Song: Towards Reliable Fact-Conflicting Hallucination Detection. CoRR (2023)
Yuxia Geng, Jiaoyan Chen, Jeff Z. Pan, Mingyang Chen, Song Jiang, Wen Zhang, Huajun Chen
Relational Message Passing for Fully Inductive Knowledge Graph Completion. ICDE (2023)
Yichi Zhang, Zhuo Chen, Yin Fang, Lei Cheng, Yanxi Lu, Fangming Li, Wen Zhang, Huajun Chen
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. CoRR (2023)
Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen
When Do Program-of-Thoughts Work for Reasoning? CoRR (2023)
Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen
Unveiling the Pitfalls of Knowledge Editing for Large Language Models. CoRR (2023)
Wen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. CoRR (2023)
Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen
Multimodal Analogical Reasoning over Knowledge Graphs. ICLR (2023)
Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang
Knowledge Rumination for Pre-trained Language Models. CoRR (2023)
Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z. Pan, Yangning Li, Huajun Chen, Wen Zhang
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment. ISWC (2023)
Siyuan Cheng, Xiaozhuan Liang, Zhen Bi, Huajun Chen, Ningyu Zhang
Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract). AAAI (2023)
Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang
Editing Large Language Models: Problems, Methods, and Opportunities. CoRR (2023)
Long Jin, Zhen Yao, Mingyang Chen, Huajun Chen, Wen Zhang
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning. CoRR (2023)
Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Jeff Z. Pan, Yuan He, Wen Zhang, Ian Horrocks, Huajun Chen
Zero-Shot and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey. Proc. IEEE 111 (6) (2023)
Yin Fang, Ningyu Zhang, Zhuo Chen, Xiaohui Fan, Huajun Chen
Molecular Language Model as Multi-task Generator. CoRR (2023)
Zezhong Xu, Peng Ye, Juan Li, Huajun Chen, Wen Zhang
Differentiable learning of rules with constants in knowledge graph. Knowl. Based Syst. 275 (2023)
Hongbin Ye, Honghao Gui, Xin Xu, Xi Chen, Huajun Chen, Ningyu Zhang
Schema-adaptable Knowledge Graph Construction. EMNLP (Findings) (2023)

Huajun Chen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Huajun Chen