陈华钧，浙江大学计算机科学与技术学院教授/博导（求是科研岗），中文开放知识图谱OpenKG牵头发起人，浙江省数智科技研究会副会长，中国人工智能学会知识工程专委会副主任，中国中文信息学会语言与知识计算专委会副主任。入选浙江省有突出贡献中青年专家，浙江省高层次人才特殊支持计划科技创新领军人才，斯坦福全球前2%顶尖科学家终身榜单（人工智能领域）。研究方向为人工智能、知识图谱、自然语言处理、AI for Science等，以一作或通讯作在Nature Machine Intelligence、Nature Communications、NeurIPS、ICLR、ICML、IJCAI、AAAI、ACL、EMNLP、WWW、KDD、VLDB、ICDE、SIGIR、Nucleic Acids Res. 、IEEE TKDE、Proc. IEEE等国际顶级会议或期刊上发表多篇论文。作为负责人主持国家自然科学基金重大研究计划重点项目、国家自然科学基金联合基金重点项目，以及国家重点研发计划、国家重大科技专项及企业合作项目等多项项目。曾获国际语义网会议ISWC最佳论文奖、国际知识图谱联合会议IJCKG最佳论文奖、浙江省科技进步二等奖、教育部技术发明一等奖、中国中文信息学会钱伟长科技奖一等奖、深圳市科技进步一等奖、中国工信传媒出版集团优秀出版物一等奖、浙江大学首届优秀教材奖一等奖。 本团队长期招聘优秀博后、研发工程师等各类专职研究人员，有意者烦请邮件联系。 奖励荣誉 浙江省有突出贡献中青年专家（2022） 浙江省高层次人才特殊支持计划（计划）科技创新领军人才（2022） 浙江省科学技术进步奖二等奖（排1，2023） 多图谱融合的电力知识大脑关键技术及应用 首届数据空间大会优秀科技成果奖（排1，2023） 大模型驱动的知识图谱构建及应用 浙江省科学技术进步奖二等奖（排1，2021） 面向数字商务的知识图谱构建与处理技术及产业化应用 中国中文信息学会钱伟长科技奖一等奖（排2，2020） 千亿级商品知识图谱构建 教育部高等学校科学技术奖技术发明一等奖（排3，2014） 基于语义图的知识服务平台及中医药应用 浙江大学首届优秀教材奖一等奖（2023）、电子工业出版社优秀作者（2021） 《知识图谱导论》 阿里巴巴优秀学术合作奖 藏经阁知识图谱（2019）、多模态商品知识图谱（2022） 深圳市科技进步一等奖（2022）、华为优秀技术合作项目奖（2022） 华为自动驾驶网络创新及产业化（ADN故障诊断知识图谱） 中国工信出版传媒集团优秀出版物专业类一等奖（2020）、博文视点最具震撼力图书大奖（2019） 《知识图谱 方法、实践与应用》 中国计算机大会CNCC优秀论坛 知识图谱赋能数字经济（2018）、知识图谱赋能数字化转型（2021）、“知识图谱+语言模型”赋能通用AI（2023） 国际语义网大会ISWC最佳论文奖（2006）、国际知识图谱联合会议IJCKG最佳论文奖（2021）、全国知识图谱大会CCKS最佳论文奖（2021） 专著与教材 《大模型知识增强》，电子工业出版社，2024 作者：陈华钧、张宁豫、张文 《知识图谱导论》，电子工业出版社，2021 作者：陈华钧 浙江大学首届教材奖一等奖 电子工业出版社年度优秀作者 《知识图谱：方法、实践与应用》，电子工业出版社，2019 作者：王昊奋、漆桂林、陈华钧 博文视点最具震撼力图书大奖（2019） 中国工信出版传媒集团优秀出版物专业类一等奖（2020）

人工智能、知识图谱、自然语言处理、AI for Science

浙江省数智科技研究会 副会长 （2022 - 今） 中国人工智能学会知识工程专委会 副主任 （2018-2023） 中国中文信息学会语言与知识计算专委会 副主任 （2016 - 今） 中国计算机学会开源发展委员会 执委 （2022 - 今） 中国中文信息学会大模型专业委员会 委员（2024 - 今） 浙江省大数据智能计算重点实验室 副主任 （2015 - 今） 新华社媒体融合国家重点实验室 学术委员会委员 （2020 - 今） Elsevier Big Data Research Journal (JCR Q1) Editor in Chief （2019-2024） Data Intelligence Journal (MIT Press) Advisory Board（2024 - 今） IEEE Computer Society Big Data STC. Advisory Committee （2017 - 今） International Joint Conference on Knowledge Graphs (IJCKG). Steering Committee (2020 - 今) 《软件学报》 编委

Selected Recent Articles 2025 Zezhong Xu，Yincen Qu，Wen Zhang，Lei Liang，Huajun Chen*. InBox: Recommendation with Knowledge Graph using Interest Box Embedding. VLDB. 2025 (CCF A). Yichi Zhang, Zhuo Chen, Lingbing Guo, yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen*. Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation. AAAI. 2025 (CCF A). 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. AAAI. 2025 (CCF A). Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen*. K-ON: Stacking Knowledge On the Head Layer of Large Language Model. AAAI. 2025 (CCF A). 2024 Huajun Chen. Large Knowledge Model: Perspectives and Challenges. Data Intelligence.Volume 6, Issue 3: 587 - 620 (2024) Yuqiang Han , Xiaoyang Xu , Chang-Yu Hsieh , Keyan Ding , Hongxia Xu , Renjun Xu , Tingjun Hou , Qiang Zhang，Huajun Chen*. Advancing Retrosynthesis Prediction with Iterative Editing Model. Nature Communications. 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. IEEE Transactions on Knowledge and Data Engineering. TKDE. 2024. (CCF A). Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen*. Knowledge Circuit in Transformers. NeuraIPS2024.(CCF A). 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. NeuraIPS2024.(CCF A). 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. NeuraIPS2024.(CCF A). Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Huajun Chen*.DePLM: Denoising Protein Language Models for Property Optimization. NeuraIPS2024.(CCF A). Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen*. MKGL: Mastery of a Three-Word Language. NeuraIPS2024.(CCF A). 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. ICML2024 (CCF A). Yichi Zhang, Zhuo Chen, Lingbing Guo, yajing Xu, Wen Zhang,Huajun Chen*. Making Large Language Models Perform Better in Knowledge Graph Completion. ACM MM2024 Oral. (CCF A). 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. EMNLP. 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. EMNLP.2024 Xiaohan Wang, Shengyu Mao, Shumin Deng, Yunzhi Yao, YUE SHEN, Lei Liang, Jinjie GU, Huajun Chen, Ningyu Zhang. Editing Conceptual Knowledge for Large Language Models. EMNLP.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. EMNLP. 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. EMNLP. 2024. Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, JUN ZHOU, Huajun Chen, Ningyu Zhang. OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. EMNLP. 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. SIGIR2024 Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen*. InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. ACL2024 main conference (CCF A). Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen*. IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus. ACL2024 main conference (CCF A). 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. ACL2024 main conference. (CCF A). 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.. ACL2024 main conference (CCF A). 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. ACL2024 main conference (CCF A). Zhen Bi, Ningyu Zhang, Yida Xue, Yixin Ou, Daxiong Ji, Guozhou Zheng, Huajun Chen*. OceanGPT: A Large Language Model for Ocean Science Tasks. ACL2024 main conference (CCF A). Jiang Yinuo, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen*. Enhancing Cross Text-Molecule Learning by Self-Augmentation. ACL2024 Findings. (CCF A). Yichi Zhang, Zhuo Chen, Yin Fang, Yanxi Lu, LI FANGMING, Wen Zhang, Huajun Chen. Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. ACL2024 Findings. (CCF A). Peng Wang, Ningyu Zhang, Bozhong Tian, Zekun Xi, Yunzhi Yao, Ziwen Xu, Mengru Wang, Shengyu Mao, Xiaohan Wang, Siyuan Cheng, Kangwei Liu, Yuansheng Ni, Guozhou Zheng, Huajun Chen*. EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models. ACL2024 SDT. (CCF A). Yixin Ou, Ningyu Zhang, Honghao Gui, Ziwen Xu, Shuofei Qiao, Runnan Fang, Lei Li, Zhen Bi, Guozhou Zheng, Huajun Chen*. EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models. ACL2024 SDT. (CCF A). Xiang Chen, Duanzheng Song, Gui Honghao, Wang Chenxi, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Zhang Dan, Huajun Chen*. FactCHD: Benchmarking Fact-Conflicting Hallucination Detection. IJCAI2024 (CCF A). Ningyu Zhang, Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen*. InstructEdit: Instruction-Based Knowledge Editing for Large Language Models. IJCAI2024 (CCF A). Xiang Chen, Jintian Zhang, Xiaohan Wang, Ningyu Zhang, Tongtong Wu, Yuxiang Wang, Yongheng Wang, Huajun Chen*. Continual Multimodal Knowledge Graph Construction. IJCAI2024 (CCF A). 朱渝珊, 张文, 王晓珂, 李志宇, 陈名杨, 姚祯, 陈辉, 陈华钧. 基于双向模仿蒸馏的电子商务知识图谱预训练模型高效增量学习方法. 软件学报 2024.(CCF A). Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan, Huajun Chen*. Domain-Agnostic Molecular Generation with Self-feedback. ICLR2024 Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen*. Unveiling the Pitfalls of Knowledge Editing for Large Language Models. ICLR2024 Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen*. Revisit and Outstrip Entity Alignment: A Perspective of Generative Models. ICLR2024 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. ICLR2024 Zhen Bi,Ningyu Zhang,Yinuo Jiang,Shumin Deng,Guozhou Zheng, Huajun Chen*. When Do Program-of-Thought Works for Reasoning? AAAI2024 (CCF A). Siyuan Cheng,Ningyu Zhang,Bozhong Tian,Xi Chen,Qingbin Liu, Huajun Chen*. Editing Language Model-based Knowledge Graph Embeddings. AAAI2024 (CCF A). 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. Nature Machine Intelligence. 2023. (IF=25.91) Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Jeff Z. Pan, Yuan He, Wen Zhang, Ian Horrocks and Huajun Chen*. Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey. Proceedings of the IEEE. 2023. (IF=14.91, CCF A) Jiyu Cui, Fang Wu, Wen Zhang, Lifeng Yang, Jianbo Hu, Yin Fang, Peng Ye, Qiang Zhang, Xian Suo, Yiming Mo, Xili Cui, Huajun Chen* & Huabin Xing. Direct prediction of gas adsorption via spatial atom interaction learning. Nature Communications 2023. (IF=17) 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. 37th Conference on Neural Information Processing Systems. NeurIPS2023. Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen*. Learning Invariant Molecular Representation in Latent Discrete Space. 37th Conference on Neural Information Processing Systems. NeurIPS2023. Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen*. Graph Sampling-based Meta-Learning for Molecular Property Prediction. IJCAI2023. (CCF A). 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. IJCAI2023. (CCF A). 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. IJCAI2023. (CCF A). 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. ACL2023. (CCF A). Zeyuan Wang, Qiang Zhang, Shuang-Wei HU, Haoran Yu, Xurui Jin, Zhichen Gong, Huajun Chen*. Multi-level Protein Structure Pre-training via Prompt Learning. ICLR2023. Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen*. Multimodal Analogical Reasoning over Knowledge Graphs. ICLR2023. Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen*. KGTransformer: Structure Pre-training and Prompt Tuning for Knowledge Graph Transfer. WWW2023. (CCF A). Yunzhi Yao, Shengyu Mao, Xiang Chen, Shumin Deng, Ningyu Zhang, Xi Chen and Huajun Chen*. Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. SIGIR2023. (CCF A). Wen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen*. NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. SIGIR2023. (CCF A). 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. Thirty-Seventh AAAI Conference on Artificial Intelligence. AAAI2023(CCF A). Zhen Yao，Wen Zhang，Mingyang Chen,Yufeng Huang,Yi Yang,Huajun Chen. Analogical Inference Enhanced Knowledge Graph Embedding. Thirty-Seventh AAAI Conference on Artificial Intelligence. AAAI2023 (CCF A). 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. Thirty-Seventh AAAI Conference on Artificial Intelligence. AAAI2023 (CCF A). Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Huajun Chen*.Construction and Applications of Billion-Scale Pre-trained Multimodal Business Knowledge Graph.ICDE2023. (CCF A). Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Song Jiang, Zhaoyang Lian, Yingying Li, Huajun Chen. Tele-Knowledge Pre-training for Fault Analysis. ICDE2023. (CCF A). Yuxia Geng,Jiaoyan Chen,Wen Zhang,Jeff Z. Pan, Mingyang Chen,Song Jiang, Huajun Chen*. Relational Message Passing for Fully Inductive Knowledge Graph Completion. ICDE2023. (CCF A). 2022 Xin Shao , Chengyu Li , Haihong Yang , Xiaoyan Lu , Jie Liao , Penghui Yang , Huajun Chen*, Xiao Xu，Xiaohui Fan. Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk. Nature Communications. 2022. (IF=17.69) Jie Liao , Jingyang Qian , Yin Fang , Zhuo Chen , Xiang Zhuang , Ningyu Zhang , Xin Shao , Yining Hu , Penghui Yang , Junyun Cheng , Yang Hu , Lingqi Yu , Haihong Yang , Jinlu Zhang , Xiaoyan Lu , Li Shao , Dan Wu , Yue Gao , Huajun Chen*, Xiaohui Fan*. De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution. Nature Communications. 2022. (IF=17.69) Hongbin Ye, Ningyu Zhang, Hui Chen and Huajun Chen*. Generative Knowledge Graph Construction: A Review. EMNLP2022. Yincen Qu, Ningyu Zhang, Hui Chen, zelin Dai, Chengming Wang, Xiaoyu Wang, Qiang Chen and Huajun Chen. Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce. EMNLP2022. Zezhong Xu, Wen Zhang, Peng Ye, Hui Chen, Huajun Chen*. Neural-Symbolic Entangled Framework for Complex Query Answering. Thirty-Sixth Conference on Neural Information Processing Systems. (NeurIPS2022) (CCF A). Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen*. Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. Thirty-Sixth Conference on Neural Information Processing Systems. (NeurIPS2022) (CCF A). Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia, Huajun Chen*. Federated Knowledge Graph Completion via Embedding-Contrastive Learning. Knowledge-Based Systems. (IF=8.038) Yuxia Geng，Jiaoyan Chen，Wen Zhang，Zhuo Chen，Jeff Z. Pan，Feiyu Xiong，Huajun Chen*. Disentangled Ontology Embedding for Zero-shot Learning. KDD2022. (CCF A). Lingbing Guo，Zequn Sun，Mingyang Chen，Wei Hu，Qiang Zhang，Huajun Chen*. Understanding and Improving Knowledge Graph Embedding for Entity Alignment. International Conference on Machine Learning (ICML2022) (CCF A). Mingyang Chen,Wen Zhang,Zhen Yao,Fei Huang,Huajun Chen*. Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting. The 31st International Joint Conference on Artificial Intelligence (IJCAI2022) (CCF A). Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si and Huajun Chen*. Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. The 45th International ACM Conference on Research and Development in Information Retrieval. SIGIR2022 Long paper (CCF A). Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu and Huajun Chen*. Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding. SIGIR2022 Long paper (CCF A). Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Zonggang Yuan, Feiyu Xiong and Huajun Chen*. NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs. SIGIR2022 Demo (CCF A). Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen*. Deep Reinforcement Learning for Entity Alignment. ACL2022. (CCF A). Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, Huajun Chen*. OntoProtein: Protein Pretraining With Gene Ontology Embedding. Tenth International Conference on Learning Representations. ICLR2022. (CORE A*) Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen*. Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners.. Tenth International Conference on Learning Representations. ICLR2022. (CORE A*) Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen and Huajun Chen*. Ontology-enhanced Prompt-tuning for Few-shot Learning. TheWebConference. WWW2022. （CCF A） Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si and Huajun Chen*. KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. TheWebConference. WWW2022. （CCF A） Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen*. Molecular Contrastive Learning with Chemical Element Knowledge Graph. AAAI2022. (CCF A). Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Fei Huang, Huajun Chen. Learning to Ask for Data-Efficient Event Argument Extraction. AAAI2022. (CCF A).