Jun Zhao 赵军

Jun Zhao, Kang Liu, Shizhu He， Yubo Chen and Yuanzhe Zhang. Knowledge Graph: algorithm and practice. Higher Education Press, 2022.
Jun Zhao, Kang Liu, Shizhu He and Yubo Chen. Knowledge Graph. Higher Education Press, 2018.12.
Jun Zhao, Kang Liu, Guangyou Zhou, Xianpei Han, Zhenyu Qi, and Yang Liu. Knowledge Extraction from Wiki/BBS/Blogs/News Websites. In the book of Mining of User Generated Content. CRC Press, 2014.
Bing Liu (Author). Kang Liu and Jun Zhao (Translators). Sentiment Analysis: Mining Opinions, Sentiments and Emotions. China Machine Press, 2017.10. Link

2025

Ziyang Huang, Jun Zhao, Kang Liu. Towards Adaptive Mechanism Activation in Language Agent. In Proceedings of COLING 2025, Abu Dhabi, UAE, January 19-24.
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. In Proceedings of COLING 2025, Abu Dhabi, UAE, January 19-24.
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. In Proceedings of COLING 2025, Abu Dhabi, UAE, January 19-24.
Wangtao Sun, Shizhu He, Jun Zhao, Kang Liu. From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs. In Proceedings of COLING 2025 NeusymBridge Workshop, Abu Dhabi, UAE, January 19-24.
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models. In Proceedings of AAAI 2025, Philadelphia, Pennsylvania, USA, February 25-March 4.
Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao. Neural-Symbolic CollaborativeDistillation: Advancing Small Language Models for Complex Reasoning Tasks. In Proceedings of AAAI 2025, Philadelphia, Pennsylvania, USA, February 25-March 4.
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. In Proceedings of AAAI 2025, Philadelphia, Pennsylvania, USA, February 25-March 4.
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. In Proceedings of AAAI 2025, Philadelphia, Pennsylvania, USA, February 25-March 4.
Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu. Capability Localization: Capabilities Can be Localized rather than Individual Knowledge. In Proceedings of ICLR 2025, Singapore EXPO, April 24-28.
Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao. MIRAGE：Evaluating and Explaining Inductive Reasoning Process in Language Models. In Proceedings of ICLR 2025, Singapore EXPO, April 24-28.
Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. Knowledge Localization: Mission Not Accomplished? Enter Query Localization!. In Proceedings of ICLR 2025, Singapore EXPO, April 24-28.
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.

2024

Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao. Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks. In Proceedings of ICLR 2024, Vienna, May 7-12.
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. In Proceedings of LREC-COLING 2024, Torino, Italy, May 20-25.
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. In Proceedings of LREC-COLING 2024, Torino, Italia, May 20-25.
Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao. Continual Few-shot Event Detection via Hierarchical Augmentation Networks. In Proceedings of LREC-COLING 2024, Torino, Italy, May 20-25.
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. In Proceedings of LREC-COLING 2024, Torino, Italia, May 20-25.
Shaoru Guo, Yubo Chen, Kang Liu, Ru Li, Jun Zhao. NutFrame: Frame-based Conceptual Structure Induction with LLMs. In Proceedings of LREC-COLING 2024, Torino, Italia, May 20-25.
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. In Proceedings of LREC-COLING 2024, Torino, Italia, May 20-25.
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. In Proceedings of LREC-COLING 2024 Workshop, Torino, Italia, May 20-25.
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. In Proceedings of LREC-COLING 2024, Torino, Italia, May 20-25.
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao. Unsupervised Learning of Neural Semantic Mappings with the Hungarian Algorithm for Compositional Semantics. In Proceedings of ICASSP 2024, Seoul, South Korea, April 16-19.
Runxin Sun, Shizhu He, Jun Zhao, Kang Liu. Towards Better Quantity Representations for Solving Math Word Problems. TALLP 2024.
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. In Proceedings of Association for the Advancement of Artificial Intelligence, Vancouver, British Columbia, February 20-27.
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. In Proceedings of NAACL 2024 Demo, Mexico City, Mexico, June 16-21.
Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu. S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models. In Proceedings of NAACL 2024, Mexico City, Mexico, June 16-21.
Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao. MULFE: A Multi-Level Benchmark for Free Text Model Editing. In Proceedings of ACL 2024, Bangkok, Thailand, August 11-16.
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. In Proceedings of ACL 2024, Bangkok, Thailand, August 11-16.
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. In Proceedings of ACL 2024 Findings, Bangkok, Thailand, August 11-16.
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. In Proceedings of ACL 2024 Findings, Bangkok, Thailand, August 11-16.
Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu. ItD: Large Language Models Can Teach Themselves Induction through Deduction. In Proceedings of ACL 2024, Bangkok, Thailand, August 11-16.
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. In Proceedings of ACL 2024 Findings, Bangkok, Thailand, August 11-16.
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. In Proceedings of ACL 2024, Bangkok, Thailand, August 11-16.
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. In Proceedings of ACL 2024 Findings, Bangkok, Thailand, August 11-16.
Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao. CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph. In Proceedings of ACL 2024 Demo, Bangkok, Thailand, August 11-16.
Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao. Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. In Proceedings of IJCAI 2024 Demo, Jeju, South Korea, August 3-9.
Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu. Information Bottleneck based Knowledge Selection for Commonsense Reasoning. In Proceedings of Information Sciences.
Sirui Liang, Baoli Zhang, Jun Zhao, Kang Liu. ABSEval: An Agent-based Framework for Script Evaluation. In Proceedings of EMNLP 2024, Miami, Florida, USA, November 12-16.
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. In Proceedings of EMNLP 2024, Miami, Florida, USA, November 12-16.
Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu. Commonsense Knowledge Editing Based on Free-Text in LLMs. In Proceedings of EMNLP 2024, Miami, Florida, USA, November 12-16.
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. In Proceedings of EMNLP 2024, Miami, Florida, USA, November 12-16.
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. In Proceedings of EMNLP 2024, Miami, Florida, USA, November 12-16.
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. In Proceedings of EMNLP 2024, Miami, Florida, USA, November 12-16.
Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu. Improving Zero-shot LLM Re-Ranker with Risk Minimization. In Proceedings of EMNLP 2024, Miami, Florida, USA, November 12-16.
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. In Proceedings of EMNLP 2024, Miami, Florida, USA, November 12-16.
Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu. On the In-context Generation of Language Models. In Proceedings of EMNLP 2024, Miami, Florida, USA, November 12-16.
Shun Wu, Di Wu, Kun Luo, XueYou Zhang, Jun Zhao, Kang Liu. KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model. In Proceedings of EMNLP 2024 Demo, Miami, Florida, USA, November 12-16.
Zhiqi Wang, Shizhu He, Kang Liu, Jun Zhao. Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization. In Proceedings of EMNLP 2024 Findings, Miami, Florida, USA, November 12-16.
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. In Proceedings of EMNLP 2024 Findings, Miami, Florida, USA, November 12-16.
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. In Proceedings of EMNLP 2024 Findings, Miami, Florida, USA, November 12-16.
Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu. Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. In Proceedings of TALLP 2024.
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. In Proceedings of CIKM 2024, New York,United StatesOctober 21-25.
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. In Proceedings of NeurIPS 2024, Vancouver, Canada, December 10-15.
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. In Proceedings of NeurIPS 2024, Vancouver, Canada, December 10-15.
Dianbo Sui, Bo Li, Hang Yang, Yubo Chen, Kang Liu, Dianhui Chu, Jun Zhao. A Simple and Interactive Transformer for Fine-Grained Emotion Detection. In Proceedings of IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 2024.

2023

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. In Proceedings of ACL 2023, Toronto, Canada, July 9-14.
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. In Proceedings of ACL 2023, Toronto, Canada, July 9-14.
Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu. Interpreting Sentiment Composition with Latent Semantic Tree. In Proceedings of ACL 2023, Toronto, Canada, July 9-14.
Shaoru Guo, Chenhao Wang, Yubo Chen, Kang Liu, Ru Li, Jun Zhao. EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata. In Proceedings of ACL 2023, Toronto, Canada, July 9-14.
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. In Proceedings of ACL 2023, Toronto, Canada, July 9-14.
Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao. A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. In Proceedings of ACL 2023, Toronto, Canada, July 9-14.
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. In Proceedings of ACL 2023, Toronto, Canada, July 9-14.
Jian Liu, Dianbo Sui, Kang Liu, Haoyan Liu, Zhe Zhao. Learning with Partial Annotations for Event Detection. In Proceedings of ACL 2023, Toronto, Canada, July 9-14.
Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao. Zero-shot cross-lingual event argument extraction with language-oriented prefix-tuning. In Proceedings of AAAI 2023, Washington, DC, USA, February 7-14.
Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao. Event Process Typing via Hierarchical Optimal Transport. In Proceedings of AAAI 2023, Washington, DC, USA, February 7-14.
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. In Proceedings of EMNLP 2023, Singapore, December 6-10.
Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu. Generative Calibration for In-context Learning. In Proceedings of EMNLP 2023, Singapore, December 6-10.
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. In Proceedings of EMNLP 2023, Singapore, December 6-10.
Ziyang Huang, Pengfei Cao, Jun Zhao, Kang Liu. DiffusionSL: Sequence Labeling via Tag Diffusion Process. In Proceedings of EMNLP 2023, Singapore, December 6-10.
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. In Proceedings of EMNLP 2023, Singapore, December 6-10.
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. In Proceedings of EMNLP 2023, Singapore, December 6-10.
Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu. ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook. In Proceedings of EMNLP 2023, Singapore, December 6-10.
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. In Proceedings of EMNLP 2023, Singapore, December 6-10.
Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao. Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. In Proceedings of EMNLP 2023, Singapore, December 6-10.
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. In Proceedings of EMNLP 2023, Singapore, December 6-10.
Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models. In Proceedings of EMNLP 2023, Singapore, December 6-10.
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. In Proceedings of EMNLP 2023, Singapore, December 6-10.
Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao. Event Ontology Completion with Hierarchical Structure Evolution Networks. In Proceedings of EMNLP 2023, Singapore, December 6-10.
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao. On the Effects of Structural Modeling for Neural Semantic Parsing. In Proceedings of CoNLL 2023, Singapore, December 6-10.
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. In Proceedings of NLPCC 2023, Foshan, Guangdong, October 12-15.
Xiang Li, Fanyu Lei, Shizhu He, Kang Liu, Jun Zhao. Multi-Target Semantic Parsing with Collaborative Deliberation Network. In Proceedings of IJCNLP-AACL 2023, Bali, Indonesia, November 2-4.
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. In Proceedings of ISWC 2023, Athens, Greece, November 6-10.
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. In Proceedings of EACL 2023, Lacroma Dubrovnik, May 2-6.
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

Bo Zhou, Yubo Chen, Kang Liu and Jun Zhao. Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach. In Proceedings of COLING 2022 (Long Paper), Republic of Korea, October 12-17.
Bo Zhou, Yubo Chen, Kang Liu and Jun Zhao. Generating Temporally-ordered Event Sequences via Event Optimal Transport. In Proceedings of COLING 2022 (Long Paper), Republic of Korea, October 12-17.
Xiusheng Huang, Yubo Chen, Kang Liu and Jun Zhao, Zuyu Zhao, Weijian Sun. Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning. In Proceedings of COLING 2022 (Long Paper), Republic of Korea, October 12-17.
Hang Yang, Yubo Chen, Kang Liu and Jun Zhao, Zuyu Zhao, Weijian Sun. Multi-turn and Multi-Granularity Reader for Document-level Event Extraction. Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Bo Zhou, Yubo Chen, Kang Liu and Jun Zhao. Script Event Prediction via Multilingual Event Graph Networks. Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen and Jun Zhao. CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. in Proceedings of ACL 2022 Demo, Dublin, Ireland, May 22-27.
Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu and Jun Zhao. Logic Traps in Evaluating Attribution Scores. In Proceedings of ACL 2022 (Long Paper), Dublin, Ireland, May 22-27.
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao. Incremental Intent Detection for Medical Domain with Contrast Replay Networks. In the Findings of ACL 2022 (Short Paper), Dublin, Ireland, May 22-27.
Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, Kang Liu. Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing. In Proceedings of ACL 2022 (Short Paper), Dublin, Ireland, May 22-27.
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. In Proceedings of COLING 2022, Republic of Korea, October 12-17.
Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao. CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. In Proceedings of COLING 2022, Republic of Korea, October 12-17.
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. In Proceedings of COLING 2022, Republic of Korea, October 12-17.
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. In Proceedings of CCL 2022, Jiangxi, October 28-30.
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.
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao. Example-guided stylized response generation in zero-shot setting. Science China Information Sciences 2022.
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.
Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao. A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. In Proceedings of EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11.
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. In Proceedings of EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11.
Chenhao Wang, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao. CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models. In Proceedings of EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11.
Zhuoran Jin, Tianyi Men, Hongbang Yuan, Yuyang Zhou, Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu, Jun Zhao. CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models. In Proceedings of EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11.
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

Pengfei Cao, Yubo Chen, Yuqing Yang, Kang Liu and Jun Zhao. Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification. in Proceedings of EMNLP 2021, Punta Cana, Dominican Republic, November 7-11.
Dianbo Sui, Yubo Chen, Kang Liu and Jun Zhao. Distantly Supervised Relation Extraction in Federated Settings. in Proceedings of EMNLP 2021, Punta Cana, Dominican Republic, November 7-11.
Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao and Wei Bi. Set Generation Networks for End-to-End Knowledge Base Population. in Proceedings of EMNLP 2021, Punta Cana, Dominican Republic, November 7-11.
Baoli Zhang, zhucong li, Zhen Gan, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu and Yafei Shi. CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset. in Proceedings of EMNLP 2021 Demo, Punta Cana, Dominican Republic, November 7-11.Hot
Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao and Wei Bi. Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. in Proceedings of CIKM 2021, Queensland, Australia, November 1-5.
Hang Yang, Yubo Chen, Kang Liu, Jun Zhao and Taifeng Wang. Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. in Proceedings of CIKM 2021, Queensland, Australia, November 1-5.
Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang and Jinlong Li. Multi-Task Self-Supervised Learning for Script Event Prediction. in Proceedings of CIKM 2021, Queensland, Australia, November 1-5.
Zhuoran Jin, Yubo Chen, Dianbo Sui, Chenhao Wang, Zhipeng Xue and Jun Zhao. CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet. in Proceedings of ACL 2021 Demo, Bangkok, Thailand, August 1-6.Hot
Xiusheng Huang, Yubo Chen, Shun Wu, Jun Zhao, Yuantao Xie and Weijian Sun. Named Entity Recognition via Noise Aware Training Mechanism with Data Filter. in Proceedings of ACL 2021 Findings, Bangkok, Thailand, August 1-6.
Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen and Weihua Peng. Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks. in Proceedings of ACL 2021, Bangkok, Thailand, August 1-6.
Dianbo Sui, Zhengkun Tian, Yubo Chen, Kang Liu and Jun Zhao. A Large-Scale Chinese NER Dataset with Speech Clues. in Proceedings of ACL 2021, Bangkok, Thailand, August 1-6.
Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng and Yuguang Chen. LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. in Proceedings of ACL 2021, Bangkok, Thailand, August 1-6.
Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng and Yuguang Chen. Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. in Proceedings of ACL 2021 Findings, Bangkok, Thailand, August 1-6.
Tong Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Kun Niu, Weifeng Chong and Shengping Liu. Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism. in Proceedings of ACL 2021, Bangkok, Thailand, August 1-6.
Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao and Taifeng Wang. Document-level Event Extraction via Parallel Prediction Networks. in Proceedings of ACL 2021, Bangkok, Thailand, August 1-6.
Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu and Jun Zhao. Knowledge Guided Metric Learning for Few-Shot Text Classification. in Proceedings of NAACL 2021, Online, June 6-11.
Yang Zhou, Yubo Chen , Jun Zhao, Yin Wu, Jiexin Xu and Jinlong Li. What the role is vs. What plays the role:Semi-supervised Event Argument Extraction via Dual Question Answering, in Proceedings of AAAI 2021, Online, February 2-9.
Chenhao Wang, Yubo Chen, Zhipeng Xu, Yang Zhou and Jun Zhao. CogNet: Bridging Linguistic Knowledge,World Knowledge and Commonsense Knowledge, in Proceedings of AAAI 2021 Demo, Online, February 2-9.

2020

Xinyu Zuo, Yubo Chen, Kang Liu and Jun Zhao. Towards Causal Explanation Detection with Pyramid Salient-Aware Network, in Proceedings of COLING 2020, Online, october 30- Novermber 1.
Pengfei Cao, Yubo Chen , Jun Zhao and Taifeng Wang. Incremental Event Detection via Knowledge Consolidation Networks, in Proceedings of EMNLP 2020, Online, Novermber 16-20.
Dianbo Sui, Yubo Chen , Jun Zhao,Yantao Jia, Yuantao Xie and Weijian Sun. FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction, in Proceedings of EMNLP 2020, Online, Novermber 16-20.
Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia and Zhicheng Sheng, Scene Restoring for Narrative Machine Reading Comprehension, in Proceedings of EMNLP 2020, Online, Novermber 16-20.
Jian Liu, Yubo Chen and Jun Zhao. Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations, in Proceedings of IJCAI 2020, Yokohama, Japan, July 11-17.
Caopengfei, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu and Weifeng Chong. HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding, in Proceedings of ACL 2020, Seattle, USA, July 5-10.
Caopengfei, Chenwei Yan, Xiangyu Fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu and Weifeng Chong. Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes, in Proceedings of ACL 2020, Seattle, USA, July 5-10.
Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Shengping Liu, Kang Liu and Jun Zhao. MIE: A Medical Information Extractor towards Medical Dialogues, in Proceedings of ACL 2020, Seattle, USA, July 5-10.

2019

Jian Liu, Yubo Chen, Kang Liu and Jun Zhao, Neural Cross-Lingual Event Detection with Minimal Parallel Resources. In Proceedings of EMNLP 2019, Hong Kong, China, November 3-7.
Dianbo Sui, Yubo Chen, Kang Liu and Jun Zhao, Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network. In Proceedings of EMNLP 2019, Hong Kong, China, November 3-7.
Bingning Wang, Zhixing Tian, Kang Liu, Jun Zhao, Ting Yao, Qi Zhang, Jingfang Xu, Document Gated Reader for Open Domain Question Answering. In Proceedings of the SIGIR 2019. Paris, France, July 21-25, 2019
Shizhu He,Kang Liu and Weiting An, Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks, in Proceedings of AAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1. PDF
Jian Liu, Yubo Chen and Kang Liu. Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection, in Proceedings of AAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1. PDF
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Event Co-reference Resolution via a Multi-loss Neural Network without Using Argument Information, SCIENCE CHINA Information Sciences,2019.

2018

Xiangrong Zeng, Shizhu He, Kang Liu and Jun Zhao, Large Scaled Relation Extraction with Reinforcement Learning, in Proceedings of AAAI 2018, Louisiana, New Orleans, USA, February 2-7.
Jian Liu, Yubo Chen, Kang Liu and Jun Zhao, Event Detection via Gated Multilingual Attention Mechanism, in Proceedings of AAAI 2018, Louisiana, New Orleans, USA, February 2-7.
Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu and Jun Zhao, Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism, in Proceedings of ACL 2018, Melbourne, Australia, July 15-20.
Hang Yang, Yubo Chen, Kang Liu, Yang Xiao and Jun Zhao, DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data, in Proceedings of ACL 2018, Melbourne, Australia, July 15-20.
Cao Liu, Shizhu He, Kang Liu and Jun Zhao, Curriculum Learning for Natural Answer Generation, in Proceedings of IJCAI-ECAI 2018, Stockholm, Sweden, July 13-19.
Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao and Shengping Liu. Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism, in Proceedings of EMNLP 2018, Brussels, Belgium, October 31–November 4.
Yubo Chen, Hang Yang, Kang Liu, Jun Zhao and Yantao Jia. Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms, in Proceedings of EMNLP 2018, Brussels, Belgium, October 31–November 4.
Bingning Wang, Kang Liu, Jun Zhao. Deep Semantic Hashing with Multi-Adversarial Training, in Proceedings of CIKM 2018, Torino, Italy, October 22–26.

2017

Bingning Wang, Kang Liu and Jun Zhao, Conditional Generative Adversarial Networks for Commonsense Machine Comprehension. In: Proceedings of 26th International Joint Conference on Artificial Intelligence (IJCAI-2017). (Regular Long Paper)PDF
Shizhu He, Cao Liu, Kang Liu and Jun Zhao, Generating Natural Answer by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada. (Regular Long Paper). PDF
Xuepeng Wang, Kang Liu and Jun Zhao, Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada.(Regular Long Paper). PDF
Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu and Jun Zhao, Automatically Labeled Data Generation for Large Scale Event Extraction, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada. (Regular Long Paper). PDF
Shulin Liu, Yubo Chen, Kang Liu and Jun Zhao, Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada. (Regular Long Paper) PDF
Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu and Jun Zhao, An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada. (Regular Long Paper).PDF
Guolaing Ji, Kang Liu, Shizhu He and Jun Zhao, Distant Supervision for Relation Extraction with Sentence-level Attention and Entity Descriptions, In Proceedings of AAAI 2017, USA, February, 4-9. (Regular Long Paper).
Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu and Jun Zhao, Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?, In Proceedings of EACL 2017, Valencia, Spain, April, 3-7. (Regular Long Paper).

2016

Guoliang JI, Kang LIU, Jun Zhao, Distant Supervision for Relation Extraction with Sentence-level Attention and Entity Descriptions, In: AAAI 2017.
Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao, Learning to Represent Review with Tensor Decomposition for Spam Detection, In: EMNLP 2016. (Full Regular Poster).
Zhuoyu Wei, Jun Zhao, Kang Liu, Mining Inference Formulas by Goal-Directed Random, In: EMNLP 2016. (Full Regular Oral)
Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao, Leveraging FrameNet to Improve Automatic Event Detection, In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016). (Full Regular Poster).
Bingning Wang, Kang Liu, and Jun Zhao, Inner Attention based Recurrent Neural Networks for Answer Selection. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016). (Full Regular Poster)
Yubo Chen, Shulin Liu, Shizhu He, Kang Liu and Jun Zhao, Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks, In: Proceedings of the China National Conference on Chinese Computational Linguistics (CCL and NLP-NABD 2016), Springer International Publishing. (Full Regular Oral). (Best Paper Award)
Bingning Wang, Shangmin Guo, Kang Liu, Shizhu he and Jun Zhao, Employing External Rich Knowledge for Machine Comprehension. In: Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI-2016). (Full Regular Oral)
Guoliang Ji, Kang Liu, Shizhu He and Jun Zhao, Knowledge Graph Completion with Adaptive Sparse Transfer Matrix, To appear in Proceedings of AAAI 2016, Phoenix, USA, Phoenix, 12-17. PDF Code
Shulin liu, Kang Liu, Shizhu He and Jun Zhao, A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification, To appear in Proceedings of AAAI 2016, Phoenix, USA, Phoenix, 12-17 PDF
Yuanzhe Zhang, Shizhu He, Kang Liu and Jun Zhao, A Joint Model for Question Answering over Multiple Knowledge Bases, To appear in Proceedings of AAAI 2016, Phoenix, USA, Phoenix, 12-17. PDF
Siwei Lai, Kang Liu, Shizhu He, Jun Zhao, How to Generate a Good Word Embedding? In: IEEE Intelligent Systems. (Full Regular). Doi: 10.1109/MIS.2016.45

2015

Daojian Zeng, Kang Liu, Yubo Chen and Jun Zhao, Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks, in Proceedings of EMNLP 2015, Lisbon, Portugal, September, 17-21. PDF Code and Data
Kang Liu, Jun Zhao, Shizhu He and Yuanzhe Zhang, Questiong Answering over Knoweldge Base, a Nature Language Processing Special Issue in IEEE Transaction on Intelligent Systems, pp. 1541-1672. PDF
Shizhu He,Kang Liu and Jun Zhao, Learning to Represent Knowledge Graphs with Gaussian Embedding, in Proceedings of CIKM 2015, Melbourne, Astralia, October, 19-23. PDF Code
Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi and Guanhua Tian, Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances, in Proceedings of CIKM 2015, Melbourne, Astralia, October, 19-23. PDF Code
Linlin Wang, Kang Liu, Zhu Cao, Jun Zhao and Gerard de Melo, Sentiment-Aspect Extraction based on Restricted Boltzmann Machines, in Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 26-29. PDF
Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu and Jun Zhao, Knowledge Graph Embedding via Dynamic Mapping Matrix, in Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 26-29. PDF
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng and Jun Zhao, Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks, in Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 26-29. PDF
Siwei Lai, Liheng Xu, Kang Liu and Jun Zhao, Recurrent Convolutional Neural Networks for Text Classification, in Proceedings of AAAI 2015, Austin Texas, USA, January, 25-23. PDF Code

2014

Shizhu He,Kang Liu, Yuanzhe Zhang and Jun Zhao, Questioning Answering over Linked Data Using Markov First-order Logic, in Proceedings of EMNLP 2014, Doha, Qatar, October, 25-29. PDF
Kang Liu, Liheng Xu and Jun Zhao, Co-extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model, IEEE Transaction on Knowledge and Data Engineering (TKDE), VOL. 27, Issue No. 03 pp. 636-650. PDF
Kang Liu, Liheng Xu and Jun Zhao, Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking, in Proceedings of ACL 2014, Baltimore, USA, June 22-27. PDF
Liheng Xu, Kang Liu, Siwei Lai and Jun Zhao, Product Feature Mining: Semantic Clues versus Syntactic Constituents, in Proceedings of ACL 2014, Baltimore, USA, June 22-27. PDF
Liheng Xu, Kang Liu and Jun Zhao, Joint Opinion Relation Detection Using One-Class Deep Neural Network, in Proceedings of COLING 2014, Dublin, Ireland, August, 23-29. PDF
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou and Jun Zhao, Relation Classification via Convolutional Deep Neural Network, in Proceedings of COLING 2014, Dublin, Ireland, August, 23-29. Best Paper Award PDF
Yang Liu, Kang Liu, Liheng Xu and Jun Zhao, Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction, in Proceedings of COLING 2014, Dublin, Ireland, August, 23-29. PDF
Shizhu He, Yuanzhe Zhang,Kang Liu and Jun Zhao, CASIA@V2: A MLN-based Question Answering System over Linked Data, in Proceedings of the fourth workshop on question answering over linked data (QALD-4) in CLEF 2014, Sheffield, UK, September, 15-18. PDF

2013

Kang Liu, Liheng Xu and Jun Zhao, Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews, in Proceedings of ACL 2013, Sofia, Bulgaria, August 4-9. PDF
Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen and Jun Zhao, Mining Opinion Words and Opinion Targets in a Two-Stage Framework, in Proceedings of ACL 2013, Sofia, Bulgaria, August 4-9. PDF
Kang Liu, Liheng Xu and Jun Zhao, Opinion Target Extraction Using Partially-Supervised Word Alignment Model, in Proceedings of IJCAI 2013, Beijing, China, August 5-9. PDF
Tao Zhang, Kang Liu and Jun Zhao, Cross Lingual Entity Linking with Bilingual Topic Model, in Proceedings of IJCAI 2013, Beijing, China, August 5-9. PDF
Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen and Jun Zhao, Walk and Learn: A Two-Stage Approach for Opinion Words and Opinion Targets Co-Extraction, in Proceedings of WWW 2013, Rio de Janeiro, Brazil, May 13-17. PDF
DElizabeth Cano, Yulan He, Kang Liu and Jun Zhao, A Weakly Supervised Bayesian Model for Violence Detection in Social Media, In Proceedings of IJCNLP 2013, Nagoya, Japan, October 14-18. PDF
Yang Liu, Fang Liu, Siwei Lai, Kang Liu, Guangyou Zhou, Jun Zhao, Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge, In Proceedings of IJCNLP 2013, Nagoya, Japan, October 14-18. PDF
Yang Liu, Shulin Liu, Kang Liu, Guangyou Zhou and Jun Zhao, Exploring Distinctive Features in Distant Supersivion for Relation Extraction, in Proceedings of AIRS 2013, Singapore, December 9-11. PDF
Fang Liu, Guangyou Zhou, Kang Liu, Jun Zhao, Shizhu He and Shulin Liu, Open Relation Mapping based on Instance and Semantics Expansion, in Proceedings of AIRS 2013, Singapore, December 9-11. PDF
Shizhu He, Shulin Liu, Yubo Chen, Guangyou Zhou, Kang Liu and Jun Zhao, CASIA@QALD-3: A Question Answering System over Linked Data, in Proceedings of the third workshop on question answering over linked data (QALD-3), co-locaed with CLEF 2013, Valencia, Spain, September, 23-26. PDF
Guangyou Zhou, Jun Zhao, Towards Faster and Better Retrieval Models for Question Search, In: 22th ACM Conference on Information and Knowledge Management (CIKM-2013), San Francisco, USA, October 27-November 1, 2013. (Full Regular Oral)
Guangyou Zhou, Fang Liu, Shizhu He, and Jun Zhao, Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization, In: Proceedings of The 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013), Sofia, Bulgaria, August 4-9, 2013 (Full Regular Oral)
Guangyou Zhou and Jun Zhao. Joint Inference for Heterogeneous Dependency Parsing. In: Proceedings of The 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013), Sofia, Bulgaria, August 4-9, 2013 (Short paper)
Guangyou Zhou, Yang Liu, Daojian Zeng, and Jun Zhao, Improving Question Retrieval in Community Question Answering Using World Knowledge, In: Proceedings of 23rd International Joint Conference on Artificial Intelligence (IJCAI-2013), Beijing, China, August 3-9, 2013 (Full Regular Poster)

2012

Kang Liu, Liheng Xu and Jun Zhao, Opinion Target Extraction Using Word-Based Translation Model, In Proceedings of EMNLP-CoNLL 2012, Jeju, Korea, July (oral). PDF
Guangyou Zhou, Kang Liu and Jun Zhao. Joint Relevance and Answer Quality Learning for Question Routing in Community QA. In Proceedings of 21th ACM Conference on Information and Knowledge Management (CIKM 2012), pages 1492-1496, Maui, Hawaii, USA, October 29-November 2, 2012. (oral) PDF
Guangyou Zhou, Siwei Lai, Kang Liu and Jun Zhao. Topic-Sensitive Probabilistic Model for Expert Finding in Question Answer Communities. In Proceedings of 21th ACM Conference on Information and Knowledge Management (CIKM 2012), pages 1662-1666,Maui, Hawaii, USA, October 29-November 2, 2012. (oral) PDF
Guangyou Zhou, Li Cai, Kang Liu and Jun Zhao. Exploring the existing category hierarchy to automatically labeling the newly-arising topics in cQA. In Proceedings of 21th ACM Conference on Information and Knowledge Management (CIKM 2012), pages 1492-1496, Maui, Hawaii, USA, October 29-November 2, 2012. PDF
Guangyou Zhou, Kang Liu and Jun Zhao. Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering. In Proceedings of International Conference on Computational Linguistics (COLING 2012), pages 3153–3170, Mumbai, India, December 8-15, 2012. (oral) PDF
Zhenyu Qi, Kang Liu and Jun Zhao. Are Human-input Seeds good enough for Entity Set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge. In Proceedings of AIRS 2012, TianJin, China. (oral) PDF
Siwei Lai, Yang Liu, Huxiang Gu, Liheng Xu, Kang Liu, Shiming Xiang, Jun Zhao, Rui Diao, Liang Xiang, Hang Li, Dong Wang. Hybrid Recommendation Models for Binary User Preference Prediction Problem, Journal of Machine Learning Research (JMLR): Workshop and Conference Proceedings 18: 137-151, 2012, Proceedings of KDD-Cup Competition. PDF
Xingxing Wang, Shijie Lin, Dongying Kong, Liheng Xu, Qiang Yan, Siwei Lai, Liang Wu, Guibo Zhu, Heng Gao, Yang Wu, Danny Bickson, Yuanfeng Du, Neng Gong, Chengchun Shu, Shuang Wang, Kang Liu,Jun Zhao, Fei Tan, Yuanchun Zhou. Click-Through Prediction for Sponsored Search Advertising with Hybrid Models. In ACM KDD CUP workshop 2012. PDF

2011

Li Cai, Guangyou Zhou, Kang Liu and Jun Zhao, Learning the Latent Topics for Question Retrieval in Community QA, In Proceedings of IJCNLP 2011. PDF
Guangyou Zhou, Li Cai, Kang Liu and Jun Zhao, Improving Dependency Parsing with Fined-Grained Features, In Proceedings of IJCNLP 2011. PDF
Li Cai, Guangyou Zhao, Kang Liu and Jun Zhao, Learning to Classify Questions in cQA by Leveraging Wikipedia Semantic Knowledge, In Proceedings of CIKM 2011 (oral) PDF
Guangyou Zhou, Li Cai, Jun Zhao and Kang Liu, Phrase-based Translation Model for Question Retrieval in Community Question Answer Archives, In Proceedings of The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL), Portland, Oregon, USA, June 19-24, 2011. (oral) PDF
Guangyou Zhou, Jun Zhao, Kang Liu and Li Cai. Exploring Web-Derived Selectional Preferance to Improve Statistical Dependency Parsing, In Proceedings of The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL), Portland, Oregon, USA, June 19-24, 2011. PDF
Jun Zhao, Kang Liu, Guanyou Zhou and Li Cai. Open Information Extraction. Journal of Chinese Information Processing. Vol 25, No. 06, pp 98-110, 2011. (In Chinese)
Xianpei HAN, Le SUN, Jun Zhao, Collective Entity Linking in Web Text: A Graph-Based Method, In: The Proceedings of The 34th Annual ACM SIGIR Conference) (SIGIR-2011), Beijing, China, July 24-28, 2011. （Full Regular Oral）

2010

HAN Xianpei, Jun Zhao, Structural Semantic Relatedness: A Knowledge-Based Method to Named Entity Disambiguation, In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL-2010), Uppsala, Sweden, July 11–16, 2010. （Full Regular Oral）
HAN Xianpei, Jun Zhao, Topic-Driven Web Search Result Organization by Leveraging Wikipedia Semantic Knowledge，In: Proceedings of The 19th ACM Conference on Information and Knowledge Management (CIKM 2010), Toronto, Canada, October 26-30, 2010 (Poster)

2009

Kang Liu and Jun Zhao. Cross-Domain Sentiment Classification using a Two-Stage Method. In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM). November 2-6, 2009, Hong Kong. PDF
Fan Yang, Jun Zhao and Kang Liu. A Chinese-English Organization Name Translation System Using Heuristic Web Mining and Asymmetric Alignment. In Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL), August, 2-7, 2009, Singapore. PDF
Xianpei HAN, Jun Zhao. Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge. In: Proceedings of The 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, November 2-6, 2009 （Full Regular Oral）
Jun Zhao. A Survey on Named Entity Recognition, Disambiguation and Cross-Lingual Coreference Resolution. Journal of Chinese Information Processing. Vol 23, No. 02, pp 3-17, 2009. (In Chinese)

2008

Jun Zhao, Kang Liu and Gen Wang. Adding Redundant Features for CRFs-based Sentence Sentiment Classification. In Proceedings of the Conference on Empirical Methods on Natural Language Processing (EMNLP). October 25-27, 2008, Hawaii (oral) PDF
Kang Liu and Jun Zhao. NLPR at Multilingual Opinion Analysis Task in NTCIR 7. In Proceedings of NII Test Collection for IR Systems (NTCIR 7), December, 16-19, 2008, Tokyo, Japan. PDF
Kang Liu and Jun Zhao. Domain Adaptation in NLP based on Hybrid Generative and Discriminative Model. In Proceedings of Chinese Conference of Pattern Recognition (CCPR), 2008, Beijing, China. Oct. 22-24 (In Chinese). Best Student Paper Award PDF
Kang Liu and Jun Zhao. Sentence Sentiment Analysis Based on Cascaded CRFs Model. Journal of Chinese Information Processing. Vol 22, No. 01, pp 123-128, 2008. (In Chinese)
Xianpei Han, Kang Liu and Jun Zhao. A Web-page Content Block Detection Method Based on Layout Features and Language Features. Journal of Chinese Information Processing. Vol 22. No. 01. pp 15-21, 2008. (In Chinese)
Fan Yang, Jun Zhao, Bo Zou, Kang Liu and Feifan Liu. Chinese-English Backward Transliteration Assisted with Mining Monolingual Web Pages . In Proceedings. of the 46th Annual Meeting of the Association for Computational Linguistics (ACL), June, 16-18, 2008, Ohio, USA. PDF
Jun Zhao, LIU Feifan, Product Named Entity Recognition in Chinese Texts, International Journal of Language Resource and Evaluation (LRE), Vol.42 No.2 132-152, 2008 (SCI).
Duan Xiangyu, Jun Zhao, Word Sense Disambiguation through Sememe Labeling, In: Proceedings of Twentieth International Joint Conference on Artificial Intelligence (IJCAI-2007), Hyderabad, India, 2007: 1594-1599（Full Regular Poster）

2007

Xiangyu Duan, Jun Zhao, Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing, In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL-2007), Prague, Czech Republic, 940-946, 2007 （Full Regular Oral）
Youzheng Wu, Jun Zhao, Xu Bo，Chinese Named Entity Recognition Model Based on Multiple Features. In: Proceedings of the Joint Conference of Human Language Technology and Empirical Methods in Natural Language Processing (HLT/EMNLP 2005), Vancouver, 2005:427~434
Xiangyu Duan, Jun Zhao, Probabilistic Models for Action-based Chinese Dependency Parsing, In: Proceedings of the 18th European Conference on Machine Learning and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-2007), Warsaw, Poland, September 17-21, 2007 （Full Regular Oral, Acceptance Rate: 19.93%）
Xiangyu Duan, Jun Zhao, Ungreedy Methods for Chinese Deterministic Dependency Parsing. In: Proceedings of Twenty-second Conference of Association for Artificial Intelligence Student Session (AAAI-2007). Vancouver, Canada, July 22-23, 2007 （Short Paper）
Jun Zhao, LIU Feifan, Linguistic Theory Based Contextual Evidence Mining for Statistical Chinese Co-reference Resolution, In: Journal of Computer Science and Technology (JCST), Vol.22 No.4:608-617, 2007 (SCI)
Kang Liu, Gen Wang, Xianpei Han and Jun Zhao. NLPR in TREC 2007 Blog Track. In Proceedings of Text Retrieval Conference (TREC) 2007, USA. PDF

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