1.简历
1998年清华大学博士毕业，1998年-2002年香港科技大学博士后工作，2002年进入中国科学院自动化研究所工作至今，现任二级研究员，博士生导师，中国科学院特聘核心岗位研究员，享受国务院政府特殊津贴专家。长期从事自然语言处理、知识工程方向的研究和教学工作。作为负责人承担科技部国家科技创新2030-新一代人工智能重大项目“以自然语言为核心的语义理解”、国家自然科学基金重点项目“大规模知识关联与文本语义计算方法及应用”、 国家自然科学基金联合基金重点支持项目“面向社交媒体的事件建模与情感分析关键技术研究”等国家级科研项目，发表中国计算机学会CCF A, B类学术论文100余篇，Google Scholar引用超过27000多次，最高单篇引用超过3300次，曾获第25届国际计算语言学大会COLING-2014（CCF-B）最佳论文奖、第22届国际语义网大会ISWC-2023（CCF-B）最佳张贴论文奖等学术奖励；主持完成的科研项目“大规模开放域文本知识获取与应用平台”获得中国中文信息学会钱伟长中文信息处理科学技术奖一等奖（2018，排名第一），主持完成的科研项目“大规模知识图谱构建关键技术与应用”获得北京市科学技术进步奖一等奖（2019，排名第一）；作为中国科学院大学人工智能学院的岗位教授，主讲《知识工程》课程，获评中国科学院大学2021年校级研究生优秀课程，本人获评中国科学院朱李月华优秀教师奖（2020）。
2.论文列表
2025
[1] Ziyang Huang; Jun Zhao; Kang Liu. Towards Adaptive Mechanism Activation in Language Agent. The 31st International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, UAE, 2025
[2] Huanxuan Liao; Shizhu He; Yao Xu; Yuanzhe Zhang; Kang Liu; Shengping Liu; Jun Zhao. Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering. The 31st International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, UAE, 2025
[3] Huanxuan Liao; Shizhu He; Yupu Hao; Xiang Li; Yuanzhe Zhang; Jun Zhao; Kang Liu. SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. The 31st International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, UAE, 2025
[4] Chenhui Hu; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao. Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, Pennsylvania, USA, 2025
[5] Huanxuan Liao; Shizhu He; Yao Xu; Yuanzhe Zhang; Kang Liu; Jun Zhao. Neural-Symbolic CollaborativeDistillation: Advancing Small Language Models for Complex Reasoning Tasks. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, Pennsylvania, USA, 2025
[6] Yupu Hao; Pengfei Cao; Zhuoran Jin; Huanxuan Liao; Yubo Chen; Kang Liu; Jun Zhao. CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, Pennsylvania, USA, 2025
[7] Hongbang Yuan; Zhuoran Jin; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao. Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, Pennsylvania, USA, 2025
[8] Wangtao Sun; Shizhu He; Jun Zhao; Kang Liu. From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs. The 31st International Conference on Computational Linguistics (COLING 2025 NeusymBridge Workshop), Abu Dhabi, UAE, 2025
[9] Wangtao Sun; Shizhu He; Jun Zhao; Kang Liu. Prompting, Decoding, Embedding: Leveraging Pretrained Language Models for High-Quality and Diverse Open Rule Induction. IEEE Transactions on Audio, Speech and Language Processing, , 2025
[10] Xiusheng Huang; Jiaxiang Liu; Yequan Wang; Jun Zhao; Kang Liu. Capability Localization: Capabilities Can be Localized rather than Individual Knowledge. The Thirteenth International Conference on Learning Representations, Singapore EXPO, 2025
[11] Jiachun Li; Pengfei Cao; Zhuoran Jin; Yubo Chen; Kang Liu; Jun Zhao. MIRAGE：Evaluating and Explaining Inductive Reasoning Process in Language Models. The Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore EXPO, 2025
[12] Yuheng Chen; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao. Knowledge Localization: Mission Not Accomplished? Enter Query Localization!. The Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore EXPO, 2025
2024
[1] Yixuan Weng; Minjun Zhu; Fei Xia; Bin Li; Shizhu He; Kang Liu; Jun Zhao. Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks. The Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, 2024
[2] Xiang Li; Shizhu He; Jiayu Wu; Zhao Yang; Yao Xu; Jun Yang; Haifeng Liu; Kang Liu; Jun Zhao. MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, 2024
[3] Zhitao He; Pengfei Cao; Zhuoran Jin; Yubo Chen; Kang Liu; Zhiqiang Zhang; Mengshu Sun; Jun Zhao. Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italia, 2024
[4] Chenlong Zhang; Pengfei Cao; Yubo Chen; Kang Liu; Zhiqiang Zhang; Mengshu Sun; Jun Zhao. Continual Few-shot Event Detection via Hierarchical Augmentation Networks. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, 2024
[5] Chenhao Wang; Pengfei Cao; Jiachun Li; Yubo Chen; Kang Liu; Xiaojian Jiang; Jiexin Xu; Li Qiuxia; Jun Zhao. Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italia, 2024
[6] Shaoru Guo; Yubo Chen; Kang Liu; Ru Li; Jun Zhao. NutFrame: Frame-based Conceptual Structure Induction with LLMs. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italia, 2024
[7] Minjun Zhu; Yixuan Weng; Shizhu He; Kang Liu; Haifeng Liu; Yang jun Jun; Jun Zhao. Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italia, 2024
[8] Kun Luo; Tong Zhou; Yubo Chen; Jun Zhao; Kang Liu. Open Event Causality Extraction by the Assistance of LLM in Task Annotation, Dataset, and Method. NeusymBridge at The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024 Workshop), Torino, Italia, 2024
[9] Zhuoran Jin; Pengfei Cao; Yubo Chen; Kang Liu; Xiaojian Jiang; Jiexin Xu; Qiuxia Li; Jun Zhao. Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italia, 2024
[10] Xiang Zhang; Shizhu He; Kang Liu; Jun Zhao. Unsupervised Learning of Neural Semantic Mappings with the Hungarian Algorithm for Compositional Semantics. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, South Korea, 2024
[11] Runxin Sun; Shizhu He; Jun Zhao; Kang Liu. Towards Better Quantity Representations for Solving Math Word Problems. ACM Transactions on Asian and Low-Resource Language Information ProcessingVolume 23Article 96, 2024
[12] Yuheng Chen; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao. Journey to the center of the knowledge neurons: Discoveries of language-independent knowledge neurons and degenerate knowledge neurons. Association for the Advancement of Artificial Intelligence, Vancouver, British Columbia, 2024
[13] Pengfan Du; Sirui Liang; Baoli Zhang; Pengfei Cao;Yubo Chen; Kang Liu; Jun Zhao. ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024 Demonstration), Mexico City, Mexico, 2024
[14] Fangyu Lei; Qian Liu; Yiming Huang; Shizhu He; Jun Zhao; Kang Liu. S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), Mexico City, Mexico, 2024
[15] Chenhao Wang; Pengfei Cao; Zhuoran Jin; Yubo Chen; Daojian Zeng; Kang Liu; Jun Zhao. MULFE: A Multi-Level Benchmark for Free Text Model Editing. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, 2024
[16] Jiachun Li; Pengfei Cao; Chenhao Wang; Zhuoran Jin; Yubo Chen; Daojian Zeng; Kang Liu; Jun Zhao. Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, 2024
[17] Chenhui Hu; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao. WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), Bangkok, Thailand, 2024
[18] Xiaowei Yuan; Zhao Yang; Yequan Wang; Shengping Liu; Jun Zhao; Kang Liu. Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint. Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), Bangkok, Thailand, 2024
[19] Wangtao Sun; Haotian Xu; Xuanqing Yu; Pei Chen; Shizhu He; Jun Zhao; Kang Liu. ItD: Large Language Models Can Teach Themselves Induction through Deduction. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, 2024
[20] Xiang Li; Shizhu He; Fangyu Lei; Jun Yang; Tianhuang Su; Kang Liu; Jun Zhao. Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering. Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), Bangkok, Thailand, 2024
[21] Kun Luo; Zheng Liu; Shitao Xiao; Tong Zhou; Yubo Chen; Jun Zhao; Kang Liu. Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, 2024
[22] Zhuoran Jin; Pengfei Cao; Hongbang Yuan; Yubo Chen; Jiexin Xu; Huaijun Li; Xiaojian Jiang; Kang Liu; Jun Zhao. Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models. Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), Bangkok, Thailand, 2024
[23] Tong Zhou; Yubo Chen; Kang Liu; Jun Zhao. CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024 Demo), Bangkok, Thailand, 2024
[24] Tong Zhou; Yubo Chen; Pengfei Cao; Kang Liu; Shengping Liu; Jun Zhao. Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track (IJCAI 2024 Demo), Jeju, South Korea, 2024
[25] Zhao Yang; Yuanzhe Zhang; Pengfei Cao; Cao Liu; Jiansong Chen; Jun Zhao; Kang Liu. Information Bottleneck based Knowledge Selection for Commonsense Reasoning. Information Sciences, 2024
[26] Sirui Liang; Baoli Zhang; Jun Zhao; Kang Liu. ABSEval: An Agent-based Framework for Script Evaluation. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 2024
[27] Tianyi Men; Pengfei Cao; Zhuoran Jin; Yubo Chen; Kang Liu; Jun Zhao. Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 2024
[28] Xiusheng Huang; Yequan Wang; Jun Zhao; Kang Liu. Commonsense Knowledge Editing Based on Free-Text in LLMs. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 2024
[29] Kun Luo; Minghao Qin; Zheng Liu; Shitao Xiao; Jun Zhao; Kang Liu. Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 2024
[30] Yiming Huang; Jianwen Luo; Yan Yu; Yitong Zhang; Fangyu Lei; Yifan Wei; Shizhu He; Lifu Huang; Xiao Liu; Jun Zhao; Kang Liu. DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 2024
[31] Yao Xu; Shizhu He; Jiabei Chen; Zihao Wang; Yangqiu Song; Hanghang Tong; Guang Liu; Jun Zhao; Kang Liu. Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 2024
[32] Xiaowei Yuan; Zhao Yang; Yequan Wang; Jun Zhao; Kang Liu. Improving Zero-shot LLM Re-Ranker with Risk Minimization. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 2024
[33] Hongbang Yuan; Pengfei Cao; Zhuoran Jin; Yubo Chen; Daojian Zeng; Kang Liu; Jun Zhao. Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 2024
[34] Zhongtao Jiang; Yuanzhe Zhang; Kun Luo; Xiaowei Yuan; Jun Zhao; Kang Liu. On the In-context Generation of Language Models. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 2024
[35] Shun Wu; Di Wu; Kun Luo; XueYou Zhang; Jun Zhao; Kang Liu. KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024Demo), Miami, Florida, USA, 2024
[36] Zhiqi Wang; Shizhu He; Kang Liu; Jun Zhao. Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024Findings), Miami, Florida, USA, 2024
[37] Jiachun Li; Pengfei Cao; Chenhao Wang; Zhuoran Jin; Yubo Chen; Kang Liu; Xiaojian Jiang; Jiexin Xu; Jun Zhao. LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024Findings), Miami, Florida, USA, 2024
[38] Zhitao He; Pengfei Cao; Chenhao Wang; Zhuoran Jin; Yubo Chen; Jiexin Xu; Huaijun Li; Kang Liu; Jun Zhao. AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024Findings), Miami, Florida, USA, 2024
[39] Zhao Yang; Yuanzhe Zhang; Dianbo Sui; Yiming Ju; Jun Zhao; Kang Liu. Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. ACM Transactions on Asian and Low-Resource Language Information Processing, , 2024
[40] Yifan Wei; Xiaoyan Yu; Yixuan Weng; Huanhuan Ma; Yuanzhe Zhang; Jun Zhao; Kang Liu. Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management(CIKM 2024), New York,United States, 2024
[41] Zhuoran Jin; Pengfei Cao; Chenhao Wang; Zhitao He; Hongbang Yuan; Jiachun Li; Yubo Chen; Kang Liu; Jun Zhao. RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks. (NeurIPS 2024), Vancouver, Canada, 2024
[42] Huanxuan Liao; Shizhu He; Yao Xu; Yuanzhe Zhang; Yanchao Hao; Shengping Liu; Kang Liu; Jun Zhao. From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, 2024
[43] Dianbo Sui; Bo Li; Hang Yang; Yubo Chen; Kang Liu; Dianhui Chu; Jun Zhao. A Simple and Interactive Transformer for Fine-Grained Emotion Detection. IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 2024
2023
[1] Fangyu Lei; Shizhu He; Xiang Li; Yifan Wei; Jun Zhao; Kang Liu. S^3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics（ACL 2023）, Toronto, Canada(on line), 2023
[2] Yao Xu; Shizhu He; Li Cai; Kang Liu; Jun Zhao. Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics（ACL 2023, finding）, Toronto, Canada(on line), 2023
[3] Zhongtao Jiang; Yuanzhe Zhang; Cao Liu; Jiansong Chen; Jun Zhao; Kang Liu. Interpreting Sentiment Composition with Latent Semantic Tree. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics（ACL 2023, finding）, Toronto, Canada(on line), 2023
[4] Shaoru Guo; Chenhao Wang; Yubo Chen; Kang Liu; Ru Li; Jun Zhao. EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics（ACL 2023, finding）, Toronto, Canada(on line), 2023
[5] Ran Song; Shizhu He; Shengxiang Gao; Li Cai; Kang Liu; Zhengtao Yu; Jun Zhao. Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics（ACL 2023, finding）, Toronto, Canada(on line), 2023
[6] Yiming Ju; Yuanzhe Zhang; Kang Liu; Jun Zhao. A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics（ACL 2023, finding）, Toronto, Canada(on line), 2023
[7] Qingbin Liu; Yanchao Hao; Xiaolong Liu; Bo Li; Dianbo Sui; Shizhu He; Kang Liu; Jun Zhao; Xi Chen; Ningyu Zhang; Jiaoyan Chen. Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics（ACL 2023, finding）, Toronto, Canada(on line), 2023
[8] Pengfei Cao; Zhuoran Jin; Yubo Chen; Kang Liu; Jun Zhao. Zero-shot cross-lingual event argument extraction with language-oriented prefix-tuning. Proceedings of the 2023 AAAI Conference on Artificial Intelligence (AAAI 2023), Washington, DC, USA(on line), 2023
[9] Bo Zhou; Yubo Chen; Kang Liu; Jun Zhao. Event Process Typing via Hierarchical Optimal Transport. Proceedings of the 2023 AAAI Conference on Artificial Intelligence (AAAI 2023), Washington, DC, USA(on line), 2023
[10] Yifan Wei; Yisong Su; Huanhuan Ma; Xiaoyan Yu; Fangyu Lei; Yuanzhe Zhang; Jun Zhao; Kang Liu. MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding), Singapore, 2023
[11] Zhongtao Jiang; Yuanzhe Zhang; Cao Liu; Jun Zhao; Kang Liu. Generative Calibration for In-context Learning. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding), Singapore, 2023
[12] Zhao Yang; Yuanzhe Zhang; Dianbo Sui; Cao Liu; Jun Zhao; Kang Liu. Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023), Singapore, 2023
[13] Ziyang Huang; Pengfei Cao; Jun Zhao; Kang Liu. DiffusionSL: Sequence Labeling via Tag Diffusion Process. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding), Singapore, 2023
[14] Yupu Hao; Pengfei Cao; Yubo Chen; Kang Liu; Jiexin Xu; Huaijun Li; Xiaojian Jiang; Jun Zhao. Complex Event Schema Induction with Knowledge-Enriched Diffusion Model. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding), Singapore, 2023
[15] Zhitao He; Pengfei Cao; Yubo Chen; Kang Liu; Ruopeng Li; Mengshu Sun; Jun Zhao. LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding), Singapore, 2023
[16] Wangtao Sun; Xuanqing Yu; Shizhu He; Jun Zhao; Kang Liu. ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding), Singapore, 2023
[17] Baoli Zhang; Haining Xie; Pengfan Du; Junhao Chen; Pengfei Cao; Yubo Chen; Shengping Liu; Kang Liu; Jun Zhao. ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, demo), Singapore, 2023
[18] Yao Xu; Shizhu He; Cunguang Wang; Li Cai; Kang Liu; Jun Zhao. Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding), Singapore, 2023
[19] Zhuoran Jin;Pengfei Cao; Zhitao He; Yubo Chen; Kang Liu; Jun Zhao. Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding), Singapore, 2023
[20] Zhuoran Jin; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao. InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding), Singapore, 2023
[21] Yixuan Weng; Minjun Zhu; Fei Xia; Bin Li; Shizhu He; Shengping Liu; Bin Sun; Kang Liu; Jun Zhao. Large Language Models are Better Reasoners with Self-Verification. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023, finding), Singapore, 2023
[22] Pengfei Cao; Yupu Hao; Yubo Chen; Kang Liu; Jiexin Xu; Huaijun Li; Xiaojian Jiang; Jun Zhao. Event Ontology Completion with Hierarchical Structure Evolution Networks. Proceedings of the 2023 conference on empirical methods in natural language processing (EMNLP 2023), Singapore, 2023
[23] Xiang Zhang; Shizhu He; Kang Liu; Jun Zhao. On the Effects of Structural Modeling for Neural Semantic Parsing. Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL 2023), Singapore, 2023
[24] Jiachun Li; Chenhao Wang; Yubo Chen; Kang Liu; Jun Zhao. What Events Do Pre-trained Language Models Learn from Text? Probing Event-based Commonsense Knowledge by Confidence Sorting. The 12th CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC 2023), Foshan, Guangdong, China, 2023
[25] Xiang Li; Fanyu Lei; Shizhu He; Kang Liu; Jun Zhao. Multi-Target Semantic Parsing with Collaborative Deliberation Network. The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics(IJCNLP-AACL 2023), Bali, Indonesia, 2023
[26] Chenhao Wang; Shaoru Guo; Zhitao He; Zhipeng Xue; Yubo Chen; Kang Liu; Jun Zhao. CogNet2: A Multi-Level Frame Organized Knowledge Base Integrating Linguistic, World and Commonsense Knowledge. Proceedings of the ISWC 2023 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 22nd International Semantic Web Conference (ISWC 2023), Athens, Greece, 2023
[27] Fei Xia; Yixuan Weng; Shizhu He; Kang Liu; Jun Zhao. Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics(EACL 2023), Lacroma Dubrovnik, 2023
[28] Dianbo Sui ; Xiangrong Zeng; Yubo Chen; Kang Liu; Jun Zhao. Joint Entity and Relation Extraction With Set Prediction Networks. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023
2022
[1] Yiming Ju; Yuanzhe Zhang; Zhao Yang; Zhongtao Jiang; Kang Liu; Jun Zhao. Logic Traps in Evaluating Attribution Scores. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics（ACL 2022）, Dublin, Ireland(Online), 2022
[2] Runxin Sun; Shizhu He; Chong Zhu; Yaohan He; Jinlong Li; Jun Zhao; Kang Liu. Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics（ACL 2022）.Dublin, Ireland(Online), 2022
[3] Zhuoran Jin; Tianyi Men; Hongbang Yuan; Zhitao He; Dianbo Sui; Chenhao Wang; Zhipeng Xue; Yubo Chen; Jun Zhao. CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics（ACL 2022）demo.Dublin, Ireland(Online), 2022
[4] Guirong Bai; Shizhu He; Kang Liu; Jun Zhao. Incremental Intent Detection for Medical Domain with Contrast Replay Networks. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics（ACL 2022）findings.Dublin, Ireland(Online), 2022
[5] Bo Zhou; Yubo Chen; Kang Liu; Jun Zhao; Jiexin Xu; Xiaojian Jiang; Qiuxia Li. Generating Temporally-ordered Event Sequences via Event Optimal Transport. Proceedings of the 29th International Conference on Computational Linguistics(COLING 2022).Gyeongju, Republic of Korea(Online), 2022
[6] Bo Zhou; Chenhao Wang; Yubo Chen; Kang Liu; Jun Zhao; Jiexin Xu; Xiaojian Jiang; Qiuxia Li. Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach. Proceedings of the 29th International Conference on Computational Linguistics(COLING 2022).Gyeongju, Republic of Korea(Online), 2022
[7] Fangyu Lei; Shizhu He; Xiang Li; Jun Zhao; Kang Liu. Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. Proceedings of the 29th International Conference on Computational Linguistics(COLING2022).Gyeongju, Republic of Korea(Online), 2022
[8] Xiusheng Huang; Hang Yang; Yubo Chen; Jun Zhao; Kang Liu; Weijian Sun; Zuyu Zhao. Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning. Proceedings of the 29th International Conference on Computational Linguistics(COLING 2022).Gyeongju, Republic of Korea(Online), 2022
[9] Yiming Ju; Weikang Wang; Yuanzhe Zhang; Suncong Zheng; Kang Liu; Jun Zhao. CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. Proceedings of the 29th International Conference on Computational Linguistics(COLING 2022).Gyeongju, Republic of Korea(Online), 2022
[10] Ran Song; Shizhu He; Suncong Zheng; Shengxiang Gao; Kang Liu; Zhengtao Yu; Jun Zhao. Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts. Proceedings of the 29th International Conference on Computational Linguistics(COLING 2022).Gyeongju, Republic of Korea(Online), 2022
[11] Bo Zhou; Yubo Chen; Kang Liu; Jun Zhao. Script Event Prediction via Multilingual Event Graph Networks. ACM Transactions on Asian and Low-Resource Language Information Processing, 2022
[12] Hang Yang; Yubo Chen; Jun Zhao; Kang Liu; Weijian Sun; Zuyu Zhao. Multi-turn and Multi-Granularit Reader for Document-level Event Extraction. ACM Transactions on Asian and Low-Resource Language Information Processing, 2022
[13] Zhao Yang; Yuanzhe Zhang; Zhongtao Jiang; Yiming Ju; Jun Zhao; Kang Liu. Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. Proceedings of the 21st Chinese National Conference on Computational Linguistics (CCL 2022).Nanchang,China, 2022
[14] Guirong Bai; Qingbin Liu; Shizhu He; Kang Liu; Jun Zhao. Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision. Journal of Computer Science and Technology., 2022
[15] Guirong Bai; Shizhu He; Kang Liu; Jun Zhao. Example-guided stylized response generation in zero-shot setting. Science China Information Sciences.SCI, 2022
[16] 徐遥; 何世柱; 刘康; 张弛; 焦飞; 赵军. 基于Beta分布和半监督学习的非确定性知识图谱嵌入模型. 中文信息学报., 2022
[17] Zhuoran Jin; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao. A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Abu Dhabi, United Arab Emirates(on line), 2022
[18] Fei Xia; Bin Li; Yixuan Weng; Shizhu He; Kang Liu; Bin Sun; Shutao Li; Jun Zhao. MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) DEMO.Abu Dhabi, United Arab Emirates(on line), 2022
[19] Chenhao Wang; Jiachun Li; Yubo Chen; Kang Liu; Jun Zhao. CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022).Abu Dhabi, United Arab Emirates(on line), 2022
[20] Zhuoran Jin; Tianyi Men; Hongbang Yuan; Yuyang Zhou; Pengfei Cao; Yubo Chen; Zhipeng Xue; Kang Liu; Jun Zhao. CogKTR:A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) DEMO.Abu Dhabi, United Arab Emirates(on line), 2022
[21] Jia Fu; Sirui Li; Minghui Yuan; Zhucong Li; Zhen Gan; Yubo Chen; Kang Liu; Jun Zhao; Shengping Liu. CASIA@SMM4H’22: A Uniform Health Information Mining System for Multilingual Social Media Texts. Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task (SMM4H). Gyeongju, Republic of Korea(on line), 2022
[22] Jia Fu; Zhen Gan; Zhucong Li; Sirui Li; Dianbo Sui; Yubo Chen; Kang Liu; Jun Zhao. CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022). Seattle, Washington(on line), 2022
[23] 李泽政; 田志兴; 张元哲; 刘康; 赵军. 基于自适应知识选择的机器阅读理解. 中文信息学报, 2022
2021
[1] Dianbo Sui; Yubo Chen; Binjie Mao; Delai Qiu; Kang Liu; Jun Zhao. Knowledge Guided Metric Learning for Few-Shot Text Classification. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies（NAACL 2021）, Mexico, 2021
[2] Zhongtao Jiang; Yuanzhe Zhang; Zhao Yang; Jun Zhao; Kang Liu. Alignment Rationale for Natural Language Inference. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 2021
[3] Pengfei Cao; Xinyu Zuo; Yubo Chen; Kang Liu; Jun Zhao; Yuguang Chen; Weihua Peng. Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 2021
[4] Xinyu Zuo; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao; Weihua Peng; Yuguang Chen. LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 2021
[5] Xinyu Zuo; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao; Weihua Peng; Yuguang Chen. Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. Findings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 2021
[6] Hang Yang; Dianbo Sui;Yubo Chen; Kang Liu; Jun Zhao. Document-level Event Extraction via Parallel Prediction Networks. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 2021
[7] Dianbo Sui; Zhengkun Tian; Yubo Chen; Kang Liu; Jun Zhao. A Large-Scale Chinese Multimodal NER Dataset with Speech Clues. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 2021
[8] Xiusheng Huang; Yubo Chen; Shun Wu; Jun Zhao; Yuantao Xie; Weijian Sun. Named Entity Recognition via Noise Aware Training Mechanism with Data Filter. Findings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)-finding, Bangkok, Thailand, 2021
[9] Zhuoran Jin; Yubo Chen; Dianbo Sui; Chenhao Wang; Zhipeng Xue; Jun Zhao. CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)-demo, Bangkok, Thailand, 2021
[10] 白桂荣; 何世柱; 刘康; 赵军. Example Guided Stylized Response Generation in Zero Shot Setting. Science China Information Sciences, 2021
[11] Yubo Chen; Jun Zhao; Yin Wu; Jiexin Xu; Jinlong Li. What the role is vs. What plays the role: Semi-supervised Event Argument Extraction via Dual Question Answering. Thirty-Third Conference on Innovative Applications of Artificial Intelligence(AAAI 2021), Vancouver, Canada, 2021
[12] Xiaoyan Yu; Qingbin Liu; Shizhu He; Kang Liu; Shengping Liu; Jun Zhao; Yongbin Zhou. Multi-Strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension. The Twentieth China National Conference on Computational Linguistics (CCL 2021), Hohhot,China, 2021
[13] Qingbin Liu; Guirong Bai; Shizhu He; Cao Liu; Kang Liu; Jun Zhao. Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue. Knowledge-Based Systems, 2021
[14] Qingbin Liu; Shizhu He; Kang Liu; Shengping Liu; Jun Zhao. A Unified Shared-Private Network with Denoising for Dialogue State Tracking. Journal of Computer Science & Technology, 2021
[15] Tong Zhou; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao; Kun Niu; Weifeng Chong; Shengping Liu. Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 2021
[16] Chenhao Wang; Yubo Chen; Zhipeng Xue; Yang Zhou; Jun Zhao. CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge. Thirty-Third Conference on Innovative Applications of Artificial Intelligence (AAAI 2021) Demonstration Program, Vancouver, Canada, 2021
[17] Zhixing Tian; Yuanzhe Zhang; Kang Liu; Jun Zhao. Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain. The Twentieth China National Conference on Computational Linguistics (CCL 2021), Hohhot,China, 2021
[18] Fei Xia; Shizhu He; Kang Liu; Shengping Liu; Jun Zhao. Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances. China Conference on Knowledge Graph and Semantic Computing (CCKS 2021), Guangzhou,China, 2021
[19] Guirong Bai; Shizhu He; Kang Liu; Jun Zhao. Using Pre-trained Language Model to Enhance Active Learning for Sentence Matching. ACM Transactions on Asian and Low-Resource Language Information Processing, 2021
[20] Dianbo Sui; Chenhao Wang; Yubo Chen; Kang Liu; Jun Zhao; Wei Bi. Set Generation Networks for End-to-End Knowledge Base Population. The 2021 Conference on Empirical Methods in Natural Language Processing（EMNLP 2021）, Punta Cana, Dominican, 2021
[21] Dianbo Sui; Yubo Chen; Kang Liu; Jun Zhao. Distantly Supervised Relation Extraction in Federated Settings. The 2021 Conference on Empirical Methods in Natural Language Processing（EMNLP 2021）Findings`, Punta Cana, Dominican, 2021
[22] Yiming Ju; Yuanzhe Zhang; Zhixing Tian; Kang Liu; Xiaohuan Cao; Wenting Zhao; Jinlong Li; Jun Zhao. Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations. The 2021 Conference on Empirical Methods in Natural Language Processing（EMNLP 2021）, Punta Cana, Dominican, 2021
[23] Pengfei Cao; Yubo Chen; Yuqing Yang; Kang Liu; Jun Zhao. Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification. The 2021 Conference on Empirical Methods in Natural Language Processing（EMNLP 2021）, Punta Cana, Dominican, 2021
[24] Cheng Yan; Yuanzhe Zhang; Kang Liu; Jun Zhao; Yafei Shi; Shengping Liu. Biomedical Concept Normalization by Leveraging Hypernyms. The 2021 Conference on Empirical Methods in Natural Language Processing（EMNLP 2021）, Punta Cana, Dominican, 2021
[25] Qingbin Liu; Pengfei Cao; Cao Liu; Jiansong Chen; Xunliang Cai; Fan Yang; Shizhu He; Kang Liu; Jun Zhao. Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks. The 2021 Conference on Empirical Methods in Natural Language Processing（EMNLP 2021）, Punta Cana, Dominican, 2021
[26] Pengfei Cao; Xinyu Zuo; Yubo Chen; Kang Liu; Jun Zhao; Wei Bi. Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Queensland, Australia, 2021
[27] Zhen Gan; Zhucong Li; Baoli Zhang; Jing Wan; Yubo Chen; Kang Liu; Jun Zhao; Yafei Shi; Shengping Liu. Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER. The 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC2021), Qingdao,China, 2021
[28] Zhucong Li; Zhen Gan; Baoli Zhang; Yubo Chen; Jing Wan; Kang Liu; Jun Zhao; Shengping Liu. Semi-Supervised Noisy Label Learning for Chinese Clinical Named Entity Recognition. Data Intelligence, 2021
[29] Bo Zhou; Yubo Chen; Kang Liu; Jun Zhao; Jiexin Xu; Xiaojian Jiang; Jinlong Li. Multi-Task Self-Supervised Learning for Script Event Prediction. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Queensland, Australia, 2021
[30] Hang Yang; Yubo Chen; Kang Liu; Jun Zhao; Taifeng Wang. Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Queensland, Australia, 2021
[31] Baoli Zhang; Zhucong Li; Zhen Gan; Yubo Chen; Jing Wang; Kang Liu; Jun Zhao; Shengping Liu; Yafei Shi. CroAno: A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset. The 2021 Conference on Empirical Methods in Natural Language Processing（EMNLP 2021）, Punta Cana, Dominican, 2021
[32] Yubo Chen; Kang Liu; Yuantao Xie; Weijian Sun; Jun Zhao. NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning. China Conference on Knowledge Graph and Semantic Computing (CCKS 2021), Guangzhou,China, 2021
[33] Pei Chen; Kang Liu;Yubo Chen; Taifeng Wang; Jun Zhao. Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics(EACL), 2021
2020
[1] Xinyu Zuo; Yubo Chen; Kang Liu; Jun Zhao. Towards Causal Explanation Detection with Pyramid Salient-Aware Network. The 19th China National Conference on Computational Linguistics (CCL 2020), Haikou,China, 2020
[2] Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao. Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism. The 19th China National Conference on Computational Linguistics (CCL 2020), Haikou,China, 2020
[3] Guirong Bai; Shizhu He; Kang Liu; Jun Zhao; Zaiqing Nie. Pre-trained Language Model based Active Learning for Sentence Matching. The 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain, 2020
[4] Xinyu Zuo; Yubo Chen; Kang Liu; Jun Zhao. KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision. The 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain, 2020
[5] Pei Chen; Hang Yang; Kang Liu; Ruihong Huang; Yubo Chen; Taifeng Wang; Jun Zhao. Reconstructing Event Regions for Event Extraction via Graph Attention Networks. Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing （AACL 2020）, Suzhou,China, 2020
[6] Pengfei Cao; Yubo Chen; Jun Zhao; Taifeng Wang. Incremental Event Detection via Knowledge Consolidation Networks. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Dominican, 2020
[7] Zhixing Tian; Yuanzhe Zhang; Kang Liu; Jun Zhao;Yantao Jia; Zhicheng Sheng. Scene Restoring for Narrative Machine Reading Comprehension. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Dominican, 2020
[8] Dianbo Sui; Yubo Chen; Jun Zhao; Yantao Jia; Yuantao Xie; Weijian Sun. FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dominican, 2020
[9] Zhixing Tian; Yuanzhe Zhang; Xinwei Feng; Wenbin Jiang; Yajuan Lyu; Kang Liu; Jun Zhao. Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, 2020
[10] Jian Liu; Yubo Chen; Jun Zhao. Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-2020), Japan, 2020
[11] Pengfei Cao; Chenwei Yan; Xiangling Fu; Yubo Chen; Kang Liu; Jun Zhao; Shengping Liu; Weifeng Chong. Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA, 2020
[12] Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao; Shengping Liu; Weifeng Chong. HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA, 2020
[13] Yuanzhe Zhang; Zhongtao Jiang; Tao Zhang; Shiwan Liu; Jiarun Cao; Kang Liu; Shengping Liu; Jun Zhao. MIE: A Medical Information Extractor towards Medical Dialogues. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA, 2020
[14] Jian Liu; Dianbo Sui; Kang Liu; Jun Zhao. Graph-Based Knowledge Integration for Question Answering over Dialogue. The 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain, 2020
[15] Zhucong Li; Baoli Zhang; Yubo Chen; Kang Liu; Jun Zhao; Shengping Liu. Multi-Specialty Domain Adaptation for Chinese Medical Named Entity Recognition. China Conference on Knowledge Graph and Semantic Computing（CCKS 2020）, Nanchang,China, 2020
[16] 郭展成;宋挺;何世柱;刘康;赵军;刘升平. 基于动态知识选择的预训练模型. China Conference on Knowledge Graph and Semantic Computing（CCKS 2020）, Nanchang,China, 2020
[17] Hang Yang; Yubo Chen; Kang Liu; Jun Zhao. Meta learning for Event Argument Extraction via Domain-Specific Information Enhanced. China Conference on Knowledge Graph and Semantic Computing（CCKS 2020）, Nanchang,China, 2020
[18] 宋挺;郭展成;何世柱;刘康;赵军;刘升平. 基于动态词遮掩的句子匹配预训练模型. China Conference on Knowledge Graph and Semantic Computing（CCKS 2020）, Nanchang,China, 2020
[19] Yinyu Lan; Shizhu He; Kang Liu; Jun Zhao; Xiangrong Zeng; Shengping Liu. Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. The China Conference on Health Information Processing (CHIP 2020), Luzhou,China, 2020
[20] Cheng Yan;Yuanzhe Zhang;Kang Liu;Jun Zhao;Yafei Shi;Shengping Liu. Enhancing Unsupervised Medical Entity Linking with Multi-instance Learning. The China Conference on Health Information Processing (CHIP 2020), Luzhou,China, 2020
[21] Kang Liu; Yubo Chen; Jian Liu; Xinyu Zuo; Jun Zhao. Extracting Events and Their Relations from Texts: A Survey on Recent Research Progress and Challenges. AI Open, 2020
3. 承担科研项目情况
[1] 融合异构知识的交互式对话模型关键技术研究，国家自然科学基金面上项目，2020.01-2023.12
[2] 大规模知识关联和文本语义计算方法及应用验证，国家自然科学基金重点项目，2016.01-2020.12
[3] 以自然语言为核心的语义理解研究，科技创新2030-“新一代人工智能”重大项目，2020.11 -2023.10
[4] 面向社交媒体的事件建模与情感分析关键技术研究，国家自然科学基金联合基金项目，2025.01-2028.12
