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2020 – today
- 2024
[j68]Huajun Chen, Yanguang Cai:
A discrete bat algorithm for collaborative scheduling of discrete manufacturing logistics. Int. J. Auton. Adapt. Commun. Syst. 17(2): 181-199 (2024)- [j67]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): 215-232 (2024) - [j66]Chi-Man Wong, Fan Feng, Wen Zhang, Huajun Chen, Chi-Man Vong, Chuangquan Chen
:
Billion-scale pre-trained knowledge graph model for conversational chatbot. Neurocomputing 606: 128353 (2024) - [j65]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): 563-566 (2024) - [j64]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: 111582 (2024) - [j63]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): 45 (2024) - [j62]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: 1546-1558 (2024) - [j61]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): 58 (2024) - [c223]Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen:
When Do Program-of-Thought Works for Reasoning? AAAI 2024: 17691-17699 - [c222]Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbin Liu, Huajun Chen:
Editing Language Model-Based Knowledge Graph Embeddings. AAAI 2024: 17835-17843 - [c221]Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen:
IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus. ACL (Short Papers) 2024: 127-146 - [c220]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: 891-904 - [c219]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: 1114-1136 - [c218]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: 3003-3021 - [c217]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: 3093-3118 - [c216]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: 3235-3252 - [c215]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: 3357-3372 - [c214]Yinuo Jiang, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen:
Enhancing Cross Text-Molecule Learning by Self-Augmentation. ACL (Findings) 2024: 9551-9565 - [c213]Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Qiang Zhang, Huajun Chen:
DET: A Dual-Encoding Transformer for Relational Graph Embedding. LREC/COLING 2024: 4685-4696 - [c212]Zezhong Xu, Wen Zhang, Peng Ye, Lei Liang, Huajun Chen:
Prompt-fused Framework for Inductive Logical Query Answering. LREC/COLING 2024: 13157-13167 - [c211]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: 17120-17130 - [c210]Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan, Huajun Chen:
Domain-Agnostic Molecular Generation with Chemical Feedback. ICLR 2024 - [c209]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 - [c208]Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen:
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models. ICLR 2024 - [c207]Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen:
Unveiling the Pitfalls of Knowledge Editing for Large Language Models. ICLR 2024 - [c206]Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen:
Knowledge-aware Reinforced Language Models for Protein Directed Evolution. ICML 2024 - [c205]Yin Fang, Zhuo Chen, Xiaohui Fan, Ningyu Zhang, Huajun Chen:
Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer. KSEM (1) 2024: 86-98 - [c204]Shuofei Qiao, Honghao Gui, Chengfei Lv, Qianghuai Jia, Huajun Chen, Ningyu Zhang:
Making Language Models Better Tool Learners with Execution Feedback. NAACL-HLT 2024: 3550-3568 - [c203]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: 91-101 - [e11]Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari, Yonghao Wang:
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14884, Springer 2024, ISBN 978-981-97-5491-5 [contents] - [e10]Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari, Yonghao Wang:
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14885, Springer 2024, ISBN 978-981-97-5494-6 [contents] - [e9]Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari, Yonghao Wang:
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14886, Springer 2024, ISBN 978-981-97-5497-7 [contents] - [e8]Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari, Yonghao Wang:
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14887, Springer 2024, ISBN 978-981-97-5500-4 [contents] - [e7]Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari, Yonghao Wang:
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14888, Springer 2024, ISBN 978-981-97-5488-5 [contents] - [i161]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 abs/2401.01286 (2024) - [i160]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 abs/2401.05268 (2024) - [i159]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 abs/2401.14656 (2024) - [i158]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 abs/2401.17268 (2024) - [i157]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 abs/2402.03049 (2024) - [i156]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. CoRR abs/2402.03190 (2024) - [i155]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 abs/2402.05391 (2024) - [i154]Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen:
IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus. CoRR abs/2402.14710 (2024) - [i153]Yichi Zhang, Zhuo Chen, Lei Liang, Huajun Chen, Wen Zhang:
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion. CoRR abs/2402.15444 (2024) - [i152]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 abs/2402.16123 (2024) - [i151]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 abs/2403.03101 (2024) - [i150]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 abs/2403.06259 (2024) - [i149]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 abs/2403.06832 (2024) - [i148]Zezhong Xu, Peng Ye, Lei Liang, Huajun Chen, Wen Zhang:
Prompt-fused framework for Inductive Logical Query Answering. CoRR abs/2403.12646 (2024) - [i147]Zezhong Xu, Yincen Qu, Wen Zhang, Lei Liang, Huajun Chen:
InBox: Recommendation with Knowledge Graph using Interest Box Embedding. CoRR abs/2403.12649 (2024) - [i146]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 abs/2403.14472 (2024) - [i145]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 abs/2404.08008 (2024) - [i144]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 abs/2404.09468 (2024) - [i143]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 abs/2405.13085 (2024) - [i142]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 abs/2405.14205 (2024) - [i141]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 abs/2405.14431 (2024) - [i140]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 abs/2405.14768 (2024) - [i139]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 abs/2405.16869 (2024) - [i138]Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen:
Knowledge Circuits in Pretrained Transformers. CoRR abs/2405.17969 (2024) - [i137]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 abs/2406.09098 (2024) - [i136]Tiancheng Li, Jinxiu Liu, Huajun Chen, Qi Liu:
InstructRL4Pix: Training Diffusion for Image Editing by Reinforcement Learning. CoRR abs/2406.09973 (2024) - [i135]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 abs/2406.14282 (2024) - [i134]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 abs/2406.17605 (2024) - [i133]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 abs/2406.18166 (2024) - [i132]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 abs/2406.18532 (2024) - [i131]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 abs/2406.18916 (2024) - [i130]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 abs/2407.01920 (2024) - [i129]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 abs/2407.02762 (2024) - [i128]Yushan Zhu, Wen Zhang, Zhiqiang Liu, Mingyang Chen, Lei Liang, Huajun Chen:
Croppable Knowledge Graph Embedding. CoRR abs/2407.02779 (2024) - [i127]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 abs/2407.15017 (2024) - [i126]Xiaohan Wang, Xiaoyan Yang, Yuqi Zhu, Yue Shen, Jian Wang, Peng Wei, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang:
RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment. CoRR abs/2408.12579 (2024) - 2023
- [j60]Huajun Chen, Yanguang Cai:
A discrete salp swarm algorithm for the vehicle routing problem with time windows. Int. J. Auton. Adapt. Commun. Syst. 16(6): 552-563 (2023) - [j59]Lina Yuan, Huajun Chen, Anran Zhou, Rong Wang, Xianli Wen:
Multiantenna Clustering Collaboration for WPCNs Based on Nonlinear EH. Int. J. Distributed Sens. Networks 2023: 1-10 (2023) - [j58]Hong Gao, Huajun Chen, Xiang Zhao, Ruixuan Li:
Preface to the Special Issue on Knowledge-empowered Information Systems. Int. J. Softw. Informatics 13(4): 375-378 (2023) - [j57]Zezhong Xu, Peng Ye, Juan Li, Huajun Chen, Wen Zhang:
Differentiable learning of rules with constants in knowledge graph. Knowl. Based Syst. 275: 110686 (2023) - [j56]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): 542-553 (2023) - [j55]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): 653-685 (2023) - [j54]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: 2124-2133 (2023) - [j53]Yuxia Geng, Jiaoyan Chen, Xiang Zhuang, Zhuo Chen, Jeff Z. Pan, Juan Li, Zonggang Yuan, Huajun Chen:
Benchmarking knowledge-driven zero-shot learning. J. Web Semant. 75: 100757 (2023) - [c202]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: 405-413 - [c201]Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen:
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding. AAAI 2023: 4182-4190 - [c200]Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen:
Analogical Inference Enhanced Knowledge Graph Embedding. AAAI 2023: 4801-4808 - [c199]Siyuan Cheng, Xiaozhuan Liang, Zhen Bi, Huajun Chen, Ningyu Zhang:
Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract). AAAI 2023: 16190-16191 - [c198]Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang:
On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract). AAAI 2023: 16254-16255 - [c197]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: 5368-5393 - [c196]Ming Qin, Keyan Ding, Bin Wu, Zhenping Li, Haihong Yang, Zeyuan Wang, Hongbin Ye, Haoran Yu, Huajun Chen, Qiang Zhang:
Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution. ECAI 2023: 1914-1921 - [c195]Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Rumination for Pre-trained Language Models. EMNLP 2023: 3387-3404 - [c194]Hongbin Ye, Honghao Gui, Xin Xu, Xi Chen, Huajun Chen, Ningyu Zhang:
Schema-adaptable Knowledge Graph Construction. EMNLP (Findings) 2023: 6408-6431 - [c193]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: 10222-10240 - [c192]Siyuan Cheng, Bozhong Tian, Qingbin Liu, Xi Chen, Yongheng Wang, Huajun Chen, Ningyu Zhang:
Can We Edit Multimodal Large Language Models? EMNLP 2023: 13877-13888 - [c191]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: 1221-1233 - [c190]Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen:
Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. ICDE 2023: 2988-3002 - [c189]Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Mingyi Chen, Zhaoyang Lian, Yingying Li, Lei Cheng, Huajun Chen:
Tele-Knowledge Pre-training for Fault Analysis. ICDE 2023: 3453-3466 - [c188]Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen:
Multimodal Analogical Reasoning over Knowledge Graphs. ICLR 2023 - [c187]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 - [c186]Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen:
Graph Sampling-based Meta-Learning for Molecular Property Prediction. IJCAI 2023: 4729-4737 - [c185]Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen:
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. IJCAI 2023: 5030-5038 - [c184]Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, Huajun Chen:
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. IJCAI 2023: 6574-6582 - [c183]Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yichi Zhang, Yuxia Geng, Jeff Z. Pan, Wenting Song, Huajun Chen:
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid. ACM Multimedia 2023: 3317-3327 - [c182]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 - [c181]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 - [c180]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: 121-139 - [c179]Long Jin, Zhen Yao, Mingyang Chen, Huajun Chen, Wen Zhang:
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning. ISWC 2023: 290-308 - [c178]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: 911-921 - [c177]Wen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen:
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. SIGIR 2023: 3140-3144 - [c176]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. WWW 2023: 2581-2590 - [i125]