2025：

1）Feng Wang, Sheng Xu, Peifeng Li, Qiaoming Zhu: Integrating element correlation with prompt-based spatial relation extraction. Frontiers Comput. Sci. 19(2): 192308 (2025)

2）Tiening Sun, Chengwei Liu, Lizhi Chen, Zhong Qian, Peifeng Li, Qiaoming Zhu: A unified framework for multi-modal rumor detection via multi-level dynamic interaction with evolving stances. Inf. Process. Manag. 62(3): 104066 (2025)

3）Xinyu Chen, Peifeng Li, Qiaoming Zhu: Improving cross-document event coreference resolution  by discourse coherence and structure.Inf. Process. Manag. 62(3): 104085 (2025)

4）Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou: MRC and Transfer Learning framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks. Journal of Artificial Intelligence Research, 82 (2025) 1691-1710J5)

5）Yaxin Fan, Peifeng Li, Fang Kong, and Qiaoming Zhu: Enhancing Multiparty Dialog Discourse Parsing With Dynamic Task-Adaptive Graph Transformer and Difficulty-Aware Task Scheduling.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025. 

6）Yaxin Fan, Peifeng Li, Qiaoming Zhu: Improving Dialogue Discourse Parsing through Discourse-aware Utterance Clarification, ACL 2025(Main).

7）Didi Zhang, Yaxin Fan, Peifeng Li, Qiaoming Zhu: Enhancing Goal-oriented Proactive Dialogue Systems via Consistency Reflection and Correction, ACL 2025(Main).

8）Xinyu Chen, Peifeng Li, Qiaoming Zhu: Employing Discourse Coherence Enhancement to Improve Cross-Document Event and Entity Coreference Resolution, ACL 2025(Main).

9）Shichen Li, Zhongqing Wang, Zheyu Zhao, Yue Zhang, Peifeng Li. Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification， AAAI 2025

10）Lizhi chen, Zhong Qian, Peifeng Li, Qiaoming Zhu: Disconfounding Fake News Video Explanation with Causal Inference, IJCAI 2025.

11） Zhiyu Cao, Peifeng Li, Qiaoming Zhu, Yaxin Fan: Two-stage Incomplete Utterance Rewriting on Editing Operation. COLING 2025: 496-507

12） Yuanxiang Huangfu, Peifeng Li, Yaxin Fan, Qiaoming Zhu: Non-Emotion-Centric Empathetic Dialogue Generation. COLING 2025: 989-999

13） Shannan Liu, Peifeng Li, Yaxin Fan, Qiaoming Zhu: Enhancing Multi-party Dialogue Discourse Parsing with Explanation Generation. COLING 2025: 1531-1544

14） Zihao Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li, Qiaoming Zhu: Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference. COLING 2025: 2038-2048

15） Huiyao Wang, Peifeng Li, Yaxin Fan, Qiaoming Zhu: Simulating Dual-Process Thinking in Dialogue Topic Shift Detection. COLING 2025: 2592-2602

16）王永胜, 李培峰, 王中卿, 朱巧明：多模态信息抽取研究综述.软件学报,2025,36(4):1665−1691

2024:

1）Zhong Qian, Ting Zou, Zihao Zhang, Peifeng Li, Qiaoming Zhu, Guodong Zhou: Speculation and negation identification via unified Machine Reading Comprehension frameworks with lexical and syntactic data Augmentation. Eng. Appl. Artif. Intell. 131: 107806 (2024)

2）Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou: Document-level event factuality identification via reinforced semantic learning network. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 39(6): 1248−1268 Nov. 2024

3）Sheng Xu, Peifeng Li, Qiaoming Zhu: Incorporating contextual evidence to improve implicit discourse relation recognition in Chinese. Frontiers Comput. Sci. 18(3): 183312 (2024)

4) Zhiyu Cao, Peifeng Li, Yaxin Fan, Qiaoming Zhu: Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation, EMNLP 2024.

5) Yaxin Fan, Peifeng Li, Qiaoming Zhu： Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence,EMNLP 2024.

6）Feng Jiang, Weihao Liu, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, Haizhou Li: Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmark. LREC/COLING 2024: 495-506

7）Yaxin Fan, Feng Jiang, Peifeng Li, Haizhou Li: Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study. LREC/COLING 2024: 16998-17010

8）Tiening Sun, Zhong Qian, Peifeng Li, Qiaoming Zhu: Global Structural-Temporal Graph Network with Public Opinion for Online Rumor Detection. ECAI 2024: 3725-3732

9）Xinyu Chen, Sheng Xu, Peifeng Li, Qiaoming Zhu: Enhancing Discourse Coherence to Improve Cross-Document Event Coreference Resolution. ECAI 2024: 3765-3772

10）Ting Zou, Zhong Qian, Peifeng Li, Qiaoming Zhu: PVCG: Prompt-Based Vision-Aware Classification and Generation for Multi-Modal Rumor Detection. ICASSP 2024: 11036-11040

11）Zijie Qian, Zhong Qian, Peifeng Li, Qiaoming Zhu: Document-level Event Factuality Identification using ChatGPT via Cross-Lingual and Syntactic Data Augmentation. IJCNN 2024.

12）Xiaoman Xu, Zhong Qian, Chenwei Liu, Xiaoxu Zhu, Peifeng Li: Cross-Document Fact Verification Based on Evidential Graph Attention Network. IJCNN 2024.

13）Fan Yang, Sheng Xu, Peifeng Li, Qiaoming Zhu: Prompt-based Chinese Event Temporal Relation Extraction on LLM Predictive Information. IJCNN 2024.

14）Haibing Zhou, Zhong Qian, Peifeng Li, Qiaoming Zhu: Graph Attention Network with Cross-Modal Interaction for Rumor Detection. IJCNN 2024.

15) Zhiqiang Huan, Xiaoxu Zhu and Peifeng Li:EBPL: Financial Event Causality Extraction Based on Prompt Learning,ICONIP2024.

16) Xiruijie Yi, Xiaoxu Zhu and Peifeng Li:SPSEAE: Soft Prompt with Relevant Context Aggregation for Sentence-Level Event Argument Extraction, ICONIP2024.

17) Hanmeng Zhong, Peifeng Li and Qiaoming Zhu:Improving Document-level Event Coreference Resolution with Knowledge Distillation, ICONIP2024.

18) Qirun Ye, Peifeng Li and Zhongqing Wang: MEIG: An Interactive Attention-Based Generative Model for Multimodal Event Extraction, ICONIP2024.

19) Yuanxiang Huangfu, Peifeng Li and Qiaoming Zhu: Improving Empathetic Dialogue Generation via Response Attention Guidance, ICONIP2024.

20) Shuxin Cao, Xiaoxu Zhu, Peifeng Li: A Knowledge Graph Question Answering Approach Based on Graph Attention Networks and Relational Path Encoding. ICIC (LNAI 3) 2024: 77-89

21) Siyi Tang, Zhong Qian, Chengwei Liu, Peifeng Li, Qiaoming Zhu: COVID-19 Rumor Detection Based on Heterogeneous Graph Convolutional Network with Cross-Domain Contrastive Learning. ICIC (LNAI 4) 2024: 221-232

22) Hanmeng Zhong, Sheng Xu, Peifeng Li, Qiaoming Zhu: Prompt-Based Event Coreference Resolution on Multi-dimensional Information and Auxiliary Tasks. ICIC (LNAI 4) 2024: 294-305

23) Yu Lu, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu: Recognizing Functional Pragmatics of Chinese Discourses on Multi-level Information and Ensemble Learning. ICIC (LNAI 4) 2024: 364-375

24) Guoqi Yang, Sheng Xu, Peifeng Li, Qiaoming Zhu: Spatial Relation Extraction on AMR Enhancement and Additional Markers. ICIC (LNAI 4) 2024: 434-445

25) Jinzhao Cheng, Sheng Xu, Peifeng Li, Qiaoming Zhu. Incorporating Causal Connective Prediction to Improve Event Causality Identification with Generated Explanations. The 2024 Twentieth International Conference on Intelligent Computing (ICIC 2024).

26) Jiangyi Lin, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu. Employing Coarse-grained Task to Improve Fine-grained Dialogue Topic Shift Detection. The 2024 Twentieth International Conference on Intelligent Computing (ICIC 2024).

27) Weihao Liu, Peifeng Li. Qiaoming Zhu. Chinese Discourse Parsing on Hierarchical Topic Graphs. The 2024 Twentieth International Conference on Intelligent Computing (ICIC 2024).

28) Qianqian Si, Zhongqing Wang, Peifeng Li, Qiaoming Zhu. Multimodal Chinese Event Detection on Vision-Language Pre-training and Glyphs. The 2024 Twentieth International Conference on Intelligent Computing (ICIC 2024).

29) Haibing Zhou, Zhong Qian, Peifeng Li, and Qiaoming Zhu. A Unified Model for Unimodal and Multimodal Rumor Detection. The 2024 Twentieth International Conference on Intelligent Computing (ICIC 2024).

30) 董苏军;钱忠;李培峰;朱巧明. 融合时间流特征和传播结构特征的谣言检测, 中文信息学报, 2024, 38(1). 

31) 李婧;徐昇;李培峰, 基于篇章图模型的中文事件时序关系识别, 中文信息学报, 2024, 38(9).

32) 赵怡博;蒋峰;李培峰. 一种基于BERT的多级连贯性文本分割方法, 计算机应用与软件. 2024,41(10) .

2023： 

1) Xinyu Chen, Sheng Xu, PEIFENG LI, Qiaoming Zhu. Cross-Document Event Coreference Resolution on Discourse Structure. EMNLP 2023.

2) Sheng Xu, PEIFENG LI, Qiaoming Zhu. CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities.EMNLP 2023.

3) Yaxin FAN, Feng Jiang, PEIFENG LI, Fang Kong, Qiaoming Zhu. Improving Dialogue Discourse Parsing via Reply-to Structures of Addressee Recognition. EMNLP 2023.

4) Zhiguang Gao, PEIFENG LI, Feng Jiang, Xiaomin Chu, Qiaoming Zhu. Factual Relation Discrimination for Factuality-oriented Abstractive Summarization. EMNLP 2023 (Finding).

5) Min Huan, Sheng Xu, Peifeng Li: Augmenting Trigger Semantics to Improve Event Coreference Resolution. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 38(3): 600-611 (2023)

6) Longyin Zhang, Xin Tan, Fang Kong, PeiFeng Li. Top-down text-level discourse rhetorical structure parsing with bidirectional representation learning. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 38(5): 985−1001

7) Heng Zhang, Peifeng Li, Zhong Qian, Xiaoxu Zhu: Incorporating Factuality Inference to Identify Document-level Event Factuality. ACL 2023 (Findings): 13990-14002

8) Tiening Sun, Zhong Qian, Peifeng Li, Qiaoming Zhu: Graph Interactive Network with Adaptive Gradient for Multi-Modal Rumor Detection. ICMR 2023: 316-324

9) Zhong Qian, Tiening Sun, Ting Zou, Peifeng Li, Qiaoming Zhu, Guodong Zhou: Speculation and Negation Scope Resolution via Machine Reading Comprehension Formulation with Data Augmentation. DASFAA (3) 2023: 487-496

10) Zihao Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li: CoDE: Contrastive Learning Method for Document-Level Event Factuality Identification. DASFAA (3) 2023: 497-512

11) Ting Zou, Zhong Qian, Peifeng Li, Qiaoming Zhu: Cross-Modal Adversarial Contrastive Learning for Multi-Modal Rumor Detection. ICASSP 2023: 1-5

12) Jiangyi Lin, Yaxin Fan, Feng Jiang, Xiaomin Chu, Peifeng Li: Topic Shift Detection in Chinese Dialogues: Corpus and Benchmark. ICDAR (3) 2023: 166-183

13) Weihao Liu, Feng Jiang, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu: A Unified Document-Level Chinese Discourse Parser on Different Granularity Levels. ICDAR (1) 2023: 286-303

14) Shuxin Cao, Chengwei Liu, Xiaoxu Zhu, Peifeng Li: A Time-Aware Graph Attention Network for Temporal Knowledge Graphs Reasoning. ICIC (4) 2023: 40-51

15) Boqun Li, Zhong Qian, Peifeng Li, Qiaoming Zhu: Multi-modal Rumor Detection on Modality Alignment and Multi-perspective Structures. ICIC (4) 2023: 472-483

16) Yu Lu, Yaxin Fan, Peifeng Li, Xiaomin Chu, Qiaoming Zhu: Recognizing Functional Pragmatics in Chinese Discourses on Enhancing Paragraph Representation and Deep Differential Amplifier. ICIC (4) 2023: 484-496

17) Jiangyi Lin, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu: Multi-granularity Prompts for Topic Shift Detection in Dialogue. ICIC (4) 2023: 511-522

18) Yu Lu, Feng Jiang, Xiaomin Chu, Peifeng Li, Qiaoming Zhu: Recognizing Functional Pragmatics of Chinese Discourses on Data Augmentation and Dependency Graph. ICIC (4) 2023: 523-535

19) Yaqiong He, Xiaomin Chu, Peifeng Li: Employing Beautiful Sentence Evaluation to Automatic Chinese Essay Scoring. ICIC (4) 2023: 634-645

20) Qianqian Si, Zhongqing Wang, Peifeng Li: Multimodal Event Detection on Chinese Glyphs. ICIC (4) 2023: 744-755

21) Weihao Liu, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu: Discourse Parsing on Multi-Granularity Interaction. IJCNN 2023: 1-8

22) Zhengliang Luo, Peifeng Li, Zhong Qian, Xiaoxu Zhu: TEH-GCN: Topic-Event Based Hierarchical Graph Convolutional Networks for Rumor Detection. IJCNN 2023: 1-8

23) Fan Yang, Sheng Xu, Peifeng Li, Qiaoming Zhu: Chinese Event Temporal Relation Extraction on Multi-Dimensional Attention. IJCNN 2023: 1-8

24) Xinlang Zhang, Zhongqing Wang, Peifeng Li: Multimodal Chinese Event Extraction on Text and Audio. IJCNN 2023: 1-8

25) Ting Zou, Zhong Qian, Peifeng Li: Multi-level Interaction Network for Multi-Modal Rumor Detection. IJCNN 2023: 1-8

26) Yaxin Fan, Feng Jiang, Peifeng Li, Haizhou Li: GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning. NLPCC (3) 2023: 69-80

27) Hexiang Wu, Peifeng Li, Zhongqing Wang:Multimodal Event Classification in Social Media. ICONIP (13) 2023: 338-350

28) Longwang He, Feng Jiang, Xiaoyi Bao, Yaxin Fan, Peifeng Li, Xiaomin Chu:Chinese Macro Discourse Parsing on Generative Fusion and Distant Supervision. PRICAI (2) 2023: 159-171

29) 蒋 峰, 范亚鑫, 褚晓敏, 李培峰, 朱巧明 . 英汉篇章结构分析研究综述. 软件学报，2023， 34(8):4167-4194.

30）王琪琪，李培峰. 基于GCN的多人对话实体关系抽取方法. 中文信息学报，2023,37(05)

2022：

1) Tiening Sun, Zhong Qian, Sujun Dong, Peifeng Li, Qiaoming Zhu. Rumor Detection on Social Media with Graph Adversarial Contrastive Learning. WWW 2022, pp.2789-2797. 

2) Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou. Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks. IJCAI 2022, pp.4338-4345.

3）Sheng Xu, Peifeng Li and Qiaoming Zhu. Improving Event Coreference Resolution Using Document-level and Topic-level Information. EMNLP 2022.

4) Feng Wang, Peifeng Li, Qiaoming Zhu. A Hybrid Model of Classification and Generation for Spatial  Relation Extraction. COLING 2022. 

5) Liang Wang, Peifeng Li and Sheng Xu. DCT-Centered Temporal Relation Extraction. COLING 2022. 

6) Zhong Qian, Heng Zhang, Peifeng Li, Qiaoming Zhu and Guodong Zhou. Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning. COLING 2022. 

7) Yaxin Fan, Peifeng Li, Fang Kong and Qiaoming Zhu. A Distance-Aware Multi-Task Framework for Conversational Discourse Parsing. COLING 2022. 

8) Yaqiong He, Feng Jiang, Xiaomin Chu and Peifeng Li. Automated Chinese Essay Scoring from Multiple Traits. COLING 2022. 

9) Boqun Li, Zhong Qian, Peifeng Li, Qiaoming Zhu. Multi-modal Fusion Network for Rumor Detection with Texts and Images. MMM 2022, pp.15-27. 

10) Jing Li, Sheng Xu and Peifeng Li, Document-Level Event Temporal Relation Extraction on Global and Local Cues. IJCNN 2022. 

11) Zhengliang Luo, Xiaoxu Zhu, Zhong Qian, and Peifeng Li. Employing Temporal Information and Propagation Structure to Detect Rumors. IJCNN 2022.

12) Xiang Li, Zhong Qian, Peifeng Li, and Xiaoxu Zhu. Hierarchical Information Fusion Graph Neural Networks for Chinese Implicit Rhetorical Questions Recognition. IJCNN 2022.

13) Qingqing Yi, Zhong Qian, Peifeng Li, and Qiaoming Zhu. Chinese Sentence-level Event Factuality Identification with Recursive Neural Network. IJCNN 2022.

14) Jinjuan Cao, Zhong Qian, and Peifeng Li. End-to-End Event Factuality Identification with Cross-lingual Information. IJCNN 2022.

15) Sunjun Dong, Zhong Qian, Peifeng Li. Rumor Detection with Adversarial Training and Supervised Contrastive Learning. IJCNN 2022.

16) Zhiguang Gao, Feng Jiang, Xiaomin Chu, and Peifeng Li. Employing Internal and External Knowledge to Factuality-Oriented Abstractive Summarization. NLPCC 2022.

17) Zhiguang Gao, Feng Jiang, Xiaomin Chu, and Peifeng Li. Adversarial Fine-Grained Fact Graph for Factuality-Oriented Abstractive Summarization. NLPCC 2022.

18) Liang Wang, Peifeng Li, and Qiaoming Zhu. Temporal Relation Extraction on Time Anchoring and Negative Denoising. NLPCC 2022.

19) Heng Zhang, Zhong Qian, Peifeng Li and Xiaoxu Zhu. Evidence-Based Document-Level Event Factuality Identification. PRICAI 2022.

20) Zihao Zhang, Chengwei Liu, Zhong Qian, Xiaoxu Zhu and Peifeng Li. HS2N: Heterogeneous Semantics-Syntax Fusion Network for Document-level Event Factuality Identification. PRICAI 2022.

21) Longwang He, Feng Jiang, Xiaoyi Bao, Yaxin Fan, Weihao Liu, Peifeng Li, and Xiaomin Chu. Bidirectional Macro-level Discourse Parser based on Oracle Selection. PRICAI 2022.

22) Congcheng Huang and Peifeng Li. Incorporating Generation Method and Discourse Structure to Event Coreference Resolution. ICONIP 2022.

23) Boqun Li, Zhong Qian, Peifeng Li and Qiaoming Zhu. Multi-Modal Rumor detection via Knowledge-aware Heterogeneous Graph Convolutional Networks. ICONIP 2022.

24) 范亚鑫; 蒋峰; 朱巧明; 褚晓敏; 李培峰. 融合全局和局部信息的汉语宏观篇章结构识别. 中文信息学报, 36(3): 1-9.

25) 程昊熠; 李培峰; 朱巧明. 基于跨语言数据增强的事件同指消解方法. 中文信息学报, 36(3): 19-26.

26) 郭恒睿; 王中卿; 朱巧明; 李培峰. 基于半监督学习的中文社交文本事件聚类方法. 中文信息学报, 36(2): 152-159.

27）陈 敏,吴 凡,李培峰,王中卿,朱巧明. 基于阅读理解框架的中文事件论元抽取. 中文信息学报，2022,36（10）：107-115.

28）何垅旺;范亚鑫;褚晓敏;蒋峰;李军辉. 基于指针网络的汉语宏观篇章结构双向解析方法,中文信息学报,2022,36(11):68-78.

29）杜梦琦; 蒋峰; 褚晓敏; 李培峰; 孔芳. 融合全局语义信息和结构特征的篇章功能语用识别方法, 中文信息学报, 2022,36(11):50-59.

30）吴贺祥; 王中卿; 李培峰. 基于多模态注意力的噪声事件分类模型,计算机科学，2022，49(11A).

31）曹金娟；钱忠；李培峰. 基于联合模型的端到端事件可信度识别,计算机科学，2022，49(10):290-299.

32) 贺亚琼; 蒋峰; 褚晓敏; 李培峰. 基于多视角建模的汉语议论文写作质量评估方法, 计算机科学, 2022，49(11):315-322.

2021：

1)Feng Jiang, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, Fang Kong: Hierarchical Macro Discourse Parsing Based on Topic Segmentation. AAAI 2021: 13152-13160.

2)Feng Jiang, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu: Not Just Classification: Recognizing Implicit Discourse Relation on Joint Modeling of Classification and Generation. EMNLP (1) 2021: 2418-2431.

3)Xinyu Chen, Sheng Xu, Peifeng Li, Qiaoming Zhu: Sentence Rewriting with Few-Shot Learning for Document-Level Event Coreference Resolution. ICONIP 2021: 152-164.

4)Heng Zhang, Zhong Qian, Xiaoxu Zhu, Peifeng Li: Document-Level Event Factuality Identification Using Negation and Speculation Scope. ICONIP2021: 414-425.

5)Min Chen, Zhongqing Wang, Peifeng Li, Qiaoming Zhu: Chinese Event Argument Classification via Discourse-Level Graph Convolutional Network. IJCNN 2021: 1-7.

6)Yaxin Fan, Feng Jiang, Peifeng Li, Qiaoming Zhu: Macro Discourse Relation Recogniztion Based on Micro Discourse Structure and Self-Interactive Attention Network. IJCNN 2021: 1-8.

7)Feng Jiang, Peifeng Li, Qiaoming Zhu: Recognizing Chinese Discourse Relations Based on Multi-Perspective and Hierarchical Modeling. IJCNN 2021: 1-8.

8)Yaxin Fan, Feng Jiang, Xiaomin Chu, Peifeng Li, Qiaoming Zhu: Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network. NLPCC 2021: 15-26.

9)Liang Wang, Sheng Xu, Peifeng Li, Qiaoming Zhu: Exploit Vague Relation: An Augmented Temporal Relation Corpus and Evaluation. NLPCC 2021: 73-85.

10)Xinyu Chen, Sheng Xu, Peifeng Li, Qiaoming Zhu: Employing Sentence Compression to Improve Event Coreference Resolution. NLPCC 2021: 239-250.

11)Qiqi Wang, Peifeng Li: Employing Multi-granularity Features to Extract Entity Relation in Dialogue. NLPCC 2021: 262-274.

12)Congcheng Huang; Sheng Xu; Peifeng Li; Qiaoming Zhu; Multitask Model for End-to-End Event Coreference Resolution, ICONIP 2021.

13)Zhengliang Luo; Tiening Sun; Xiaoxu Zhu; Zhong Qian; Peifeng Li; Early Rumor Detection with Prior Information on Social Media, ICONIP 2021.

14)Junhao Zhou; Feng Jiang; Xiaomin Chu; Peifeng Li; Qiaoming Zhu; More Than One-Hot: Chinese Macro Discourse Relation Recognition on Joint Relation Embedding, ICONIP 2021.

15)Liumin Zhang, Peifeng Li, Zhong Qian, Xiaoxu Zhu, and Qiaoming Zhu. Employing Multi-cues to Identify Event Factuality. CCKS 2021.

16)Jinjuan Cao, Zhong Qian, Peifeng Li, Xiaoxu Zhu, and Qiaoming Zhu. End-to-End Event Factuality Identification via Hybrid Neural Networks. CCKS 2021.

17)王体爽; 李培峰; 朱巧明; 基于数据增强的中文隐式篇章关系识别方法, 计算机科学, 2021,48(10)：85-90.

18)吴凡; 朱培培; 王中卿; 李培峰; 朱巧明; 基于字词联合表示的中文事件检测方法, 计算机科学,2021, 48(4)：1-9.

19)李婧; 李培峰; 朱巧明; 融合多维度信息的中文事件时序关系识别方法, 山西大学学报(自然科学版), 2021,44(03)：411-419.

20)周俊颢; 朱巧明; 蒋峰; 褚晓敏; 李培峰; 基于语义和主题模型的宏观篇章关系识别方法, 山西大学学报(自然科学版), 2021, 44(03)：393-402.

21)徐邵洋,蒋峰,李培峰.基于篇章结构图网络的话题分割.中文信息学报，2021，35（12）：26-36.

2020:

1)Longyin Zhang, Yuqing Xing, Fang Kong, Peifeng Li, Guodong Zhou: A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure. ACL 2020: 6386-6395

2)Feng Jiang, Xiaomin Chu, Fang Kong, Qiaoming Zhu, Peifeng Li. Chinese Paragraph-level Discourse Parsing with Global Backward and Local Reverse Reading, COLING 2020

3)Fang, Jie; Li, Peifeng; Data Augmentation with Reinforcement Learning for Document-Level Event Coreference Resolution, 9th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2020

4)Zhou, Xinyu; Li, Peifeng; Zhu, Qiaoming; Kong, Fang; Incorporating Temporal Cues and AC-GCN to Improve Temporal Relation Classification, 9th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2020

5)Dong, Sujun; Qian, Zhong; Zhu, Xiaoxu; Zhu, Qiaoming; Li, Peifeng; Rumor Detection on Hierarchical Attention Network with User and Sentiment Information, 9th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2020

6) Sun, Zhenhua; Jiang, Feng; Li, Peifeng; Zhu, Qiaoming ; Macro Discourse Relation Recognition via Discourse Argument Pair Graph, 9th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2020

7)张刘敏; 张赟; 李培峰;基于单句表示的篇章事件可信度识别方法，中文信息学报34(10)：69-75,84，2020.

8)李鑫超; 李培峰; 朱巧明;一种基于改进向量投影距离的知识图谱表示方法，计算机科学47(4)：189-193,2020.

9)张义杰; 李培峰; 朱巧明;面向事件时序与因果关系的联合识别方法，计算机工程46(7)：65-71,2020.

10)张赟; 李培峰; 朱巧明;基于门控卷积网络的篇章级事件可信度识别方法，计算机科学47(3)：206-210, 2020.

11)周新宇; 李培峰;基于信息交互增强的事件时序关系分类方法，计算机科学47(11)：244-249,2020.

12)冯鸾鸾; 李军辉;朱巧明;李培峰; 面向国防科技领域的技术和术语语料库构建方法，中文信息学报34(8)：41-50, 2020.

2019:

1) Sheng Xu, Peifeng Li, Fang Kong, Qiaoming Zhu and Guodong Zhou. Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese. ACL 2019, 2019, 608-618.
2) Zhong Qian, Peifeng Li, Qiaoming Zhu and Guodong Zhou. Document-Level Event Factuality Identification via Adversarial Neural Network. NAACL 2019, 2019, 2799-2809.
3) Yi Zhou, Xiaomin Chu, Peifeng Li and Qiaoming Zhu. Constructing Chinese Macro Discourse Tree via Multiple Views and Word Pair Similarity. NLPCC 2019, 2019, 773-786.
4) Feng Jiang, Peifeng Li and Qiaoming Zhu. Joint Modeling of Recognizing Macro Chinese Discourse Nuclearity ad Relation Based on Structure and Topic Gated Semantic Network. NLPCC 2019, 2019, 276-286.
5) Yijie Zhang, Peifeng Li, Guodong Zhou. Classifying Temporal Relations between Events by Deep BiLSTM. IALP 2019, 2019, 267-272.

6) 周懿、褚晓敏、朱巧明、蒋峰、李培峰. 基于宏观语义表示的宏观篇章关系识别方法. 中文信息学报,2019,33(3).
7) 吴文涛、李培峰、朱巧明. 基于混合神经网络的实体和事件联合抽取方法. 中文信息学报, 2019, 33(8).
8) 王体爽、李培峰、朱巧明. 基于门控记忆网络的汉语篇章主次关系识别方法. 中文信息学报. 2019, 33(5).
9) 方杰、李培峰、朱巧明. 一种面向生文本的事件同指消解神经网络方法. 中文信息学报, 2019, 33(9).
10) 徐昇、王体爽、李培峰、朱巧明. 运用多层注意力神经网络识别中文隐式篇章关系. 中文信息学报, 2019, 33(8).
11) 方杰,李培峰,朱巧明. 基于多注意力机制的事件同指消解方法. 计算机科学, 2019, 46(8).
12) 程昊熠、李培峰、朱巧明. 基于注意力机制的事件同指消解方法. 计算机科学, 2019, 46(9).
13) 张义杰、李培峰、朱巧明. 基于自注意力机制的事件时序关系分类方法. 计算机科学, 2019, 46(8).

2018:

1) Zhong Qian, Peifeng Li, Yue Zhang, Guodong Zhou, Qiaoming Zhu. Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification, IJCAI 2018.

2) Feng Jiang, Sheng Xu, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, Guodong Zhou.MCDTB: A Macro-Level Chinese Discourse TreeBank, COLING 2018.

3) Sheng Xu, Peifeng Li, Guodong Zhou, and Qiaoming Zhu. Employing Text Matching Network to Recognise Nuclearity in Chinese Discourse, COLING 2018.

4) 蒋峰，褚晓敏，徐昇，李培峰，朱巧明. 基于主题相似度的宏观篇章主次关系识别方法，中文信息学报，2018,32（1）：43-50.

5) 杨萌,李培峰,朱巧明. 一种基于Tree-LSTM 的句子相似度计算方法，北京大学学报(自然科学版)，2018，54（3）：481-486.

6) Tianxiong He, Peifeng Li and Qiaoming Zhu. Identifying Chinese Event Factuality with Convolutional Neural Networks, CLSW 2017, LNAI 10709, pp. 284–292,2018.
 7) Feng Jiang, Peifeng Li, Xiaomin Chu, Qiaoming Zhu,and Guodong Zhou. Recognizing Macro Chinese Discourse Structure on Label Degeneracy Combination Model.NLPCC 2018, LNAI 11109, pp. 92–104, 2018.
 8) Jie Fang, Peifeng Li, and Guodong Zhou. Employing Multiple Decomposable Attention Networks to Resolve Event Coreference.NLPCC 2018, LNAI 11109, pp. 246–256, 2018.
 9) Wentao Wu, Xiaoxu Zhu, Jiaming Tao, and Peifeng Li. Event Detection via Recurrent Neural Network and Argument Prediction.NLPCC 2018, LNAI 11109, pp. 235–245, 2018.

2017：

1) Peifeng Li and Guodong Zhou. Three-Layer Joint Modelingof Chinese Trigger Extraction with Constraints on Trigger and Argument Semantics, JOURNAL OFCOMPUTER SCIENCE AND TECHNOLOGY, 2017, 32(5):1044-1056.

2)李培峰，黄一龙，朱巧明.使用全局优化方法识别中文事件因果关系,清华大学学报(自然科学版)，2017,57（10）：1042-1047.

3) 何天雄，李培峰，朱巧明一种中文事件事实性识别方法,计算机科学,2017,44(5):241-244,256.
 4) Yiting Liu and Peifeng Li. Non-Entity Event Argument Extraction on Structural Representation. ILAP 2017, IEEE Press, 306-309.

2016：

1) Peifeng Li and Guodong Zhou，Joint Argument Inference in Chinese Event Extraction with Argument Consistency and Event Relevance.IEEE/ACM TRANSACTIONS ON AUDIO,SPEECH,AND LANGUAGE PROCESSING，2016，24(4)：612~622

2) 李培峰，周国栋，朱巧明，Minimally Supervised Chinese Event Extraction from Multiple Views，ACM Trans. Asian Low-Resour. Lang. Inf.Process，2016，16(2)

3) 李培峰，周国栋，朱巧明，基于语义的中文事件触发词抽取联合模型，软件学报，2016，27(2)：280~294.
4)李培峰，朱巧明，周国栋，王红玲，Global Inference to Chinese Temporal Relation Extraction，COLING 2016，pp.1451-1460.

5)Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou,Zhunchen Luo and Wei Luo.Speculation and Negation Scope Detection via Convolutional Neural Networks. EMNLP 2016,pp.815-825.

6)朱少华，李培峰，朱巧明，基于ＭＬＮ的中文事件论元推理方法，计算机科学，2016，43(3)：252~261

7) 郑新，李培峰，朱巧明，基于全局优化的中文事件时序关系推理方法，中文信息学报,2016，30(5)：129~135

8)徐霞，李培峰，朱巧明. 一个半监督的中文事件抽取方法. 中文信息学报,2016，30(2)：168-174.

9)滕佳月，李培峰，朱巧明，基于全局优化的中文事件同指消解方法，北京大学学报(自然科学版),2016，52(1)：97~103

10)朱少华，李培峰，朱巧明，基于MLN的中文事件触发词推理方法，北京大学学报(自然科学版),2016，52(1)：89~96

11)Jiayue Teng, Peifeng Li, Qiaoming Zhu, Weiyi Ge. Joint Event Co-reference Resolution and Temporal Relation Identification. CLSW 2016，LNAI 10085, pp. 426–433.

12)Meng Yang, Peifeng Li, and Qiaoming Zhu. Sentence Similarity on Structural Representations. NLPCC 2016,LNAI 10102, pp. 481–488.

2015：

1）沈晓卫，李培峰，朱巧明，槽填充中抽取模式的优化方法，中文信息学报，2015.3.15，（02）：199~206

2）朱少华，李培峰，朱巧明，基于MLN的中文事件触发词推理方法，北京大学学报(自然科学版)，2015.9.01，（01）：89~96

3）滕佳月，李培峰，朱巧明，基于全局优化的中文事件同指消解方法，北京大学学报(自然科学版)，2015.9.01，（01）：97~103

4）郑新，李培峰，朱巧明. 中文事件时序关系的标注和分类方法，计算机科学，2015,42（7）：276-279.

5）谢玲，李培峰. 一种动态和自适应公交到站时间预测方法,计算机科学，2015,42（1）：253-256.

6）黄媛，李培峰，朱巧明.一个基于语义的中文事件论元抽取方法，计算机科学，2015,42（2）：237-240.

7）曹进，李培峰，朱巧明，钱培德.基于安全标签的多域安全访问控制模型,计算机应用与软件，2015,32（1）：297-302.

8）徐霞，李培峰，朱巧明.半监督中文事件抽取中的模板过滤和转换方法,计算机科学，2015,42（2）：253-255,262.
 9）Zhong Qian; Peifeng Li; Qiaoming Zhu. A two-step approach for event factuality identification. 2015 International Conference on Asian Language Processing (IALP), pp103-106

10）Jiayue Teng, Peifeng Li, Qiaoming Zhu. Chinese Event Co-reference Resolution Based on Trigger Semantics and Combined Features. CLSW2015, LNAI 9332, pp. 494–503, 2015
11）Shaohua Zhu, Peifeng Li, Qiaoming Zhu. A Chinese Event Argument Inference Approach Based on Entity Semantics and Event Relevance. CLSW2015, LNAI 9332, pp. 577–586, 2015.

2014：

1）Peifeng Li, Qiaoming Zhu and Guodong Zhou. 2014. Using Compositional Semantics and Discourse Consistency to Improve Chinese Trigger Identification, Information Processing and Management, 2014, 50(2), pp. 399-415.

2）Li Peifeng, Zhu Qiaoming and Zhou Guodong. 2014. Employing event inference to improve semi-supervised Chinese event extraction. COLING 2014: 2161-2171.

2013：

1）Joint Modeling of Argument Identification and Role Determination in Chinese Event Extraction with Discourse-level Information，李培峰、朱巧明、周国栋，IJCAI 2013, 2013,8

2）Argument Inference from Relevant Event Mentions in Chinese Argument Extraction，李培峰、朱巧明、周国栋，ACL 2013，2014,8

3）Improving Syntactic Parsing of Chinese with Empty Element Recovery，周国栋、李培峰，JCST，2013,10

4）Joint Modeling of News Reader’s and Comment Writer’s Emotions，刘欢欢、李寿山、周国栋、黄居仁、李培峰，ACL 2013，2013.8

5）Recognizing Chinese Elementary Discourse Unit on Comma，徐生芹，李培峰，IALP 2013，2013,10

6）Chinese Negation and Speculation Detection with Conditional Random Fields，陈占成、邹博伟、朱巧明、李培峰，NLP-CC2013 2013,10，Natural Language Processing and Chinese Computing:Communications in Computer and Information Science Volume 400, 2013

7）Chinese Argument Extraction Based on Trigger Mapping，黄媛、李培峰、朱巧明NLP-CC 2013，2013,10，Natural Language Processing and Chinese Computing:Communications in Computer and Information Science Volume 400,2013

8）一种基于LDA模型的主题句抽取方法王力；李培峰；朱巧明计算机工程与应用2013,49(20)

9）基于评价对象类别的跨领域情感分类方法研究张慧；李寿山；李培峰；朱巧明计算机科学2013,40(1)

10）语料对中文名词短语指代消解影响研究高俊伟；孔芳；朱巧明；李培峰中文信息学报2013,27(3)

11）不平衡情感分类中的特征选择方法研究王志昊；王中卿；李寿山；李培峰中文信息学报2013,27（4）

2012：

1) Employing Compositional Semantics and Discourse Consistency in Chinese Event Extraction. 李培峰、周国栋、朱巧明、侯立斌,EMNLP 2012

2)Employing Morphological Structures and Sememes for Chinese Event Extraction. 李培峰、周国栋,Coling 2012

3)Joint Modeling of Trigger Identification and Event Type Determination in Chinese Event Extraction. 李培峰、朱巧明、刁红军、周国栋,Coling 2012

4)A Chinese Sentence Segmentation Approach Based on Comma. 徐生芹、孔芳、李培峰、朱巧明,CLWS 2012，LNAI

5)Event Argument Extraction Based on CRF. 侯立斌、李培峰、朱巧明、曹媛,CLWS 2012，LNAI

6)Research on Intrinsic Plagiarism Detection Resolution: A Supervised Learning Approach. 华秀丽、李寿山、李培峰、朱巧明,CLWS 2012，LNAI

7)语义分析与词频统计相结合的中文文本相似度量方法研究. 华秀丽;朱巧明;李培峰计算机应用研究

8)基于不平衡数据的中文情感分类. 王中卿;李寿山;朱巧明;李培峰;周国栋中文信息学报

9)基于情绪词的非监督中文情感分类方法研究. 代大明;王中卿;李寿山;李培峰;朱巧明中文信息学报

10)基于机器学习方法的事件指代消歧研究. 张宁;孔芳;李培峰;朱巧明计算机科学

11)中文语义角色标注的树核空间研究. 吴方磊;李军辉;朱巧明;李培峰计算机应用与软件

12)基于状态和行为描述的情感分类方法. 张慧;王中卿;李寿山;杨欣欣;李培峰;朱巧明计算机工程

13)无监督中文名词短语指代消解研究. 高俊伟;孔芳;朱巧明;李培峰;华秀丽计算机工程

14)基于SVM的中文名词短语指代消解研究. 高俊伟;孔芳;朱巧明;李培峰计算机科学

15)基于跨事件理论的缺失事件角色填充研究. 侯立斌;李培峰;朱巧明;钱培德计算机科学

16)基于查询扩展的人名消歧. 杨欣欣;李培峰;朱巧明计算机应用

17)基于规则的中文零指代项识别研究. 秦凯伟;孔芳;李培峰;朱巧明计算机科学

18)领域语言模型及其在中文输入系统中的应用. 孙晓;李培峰计算机应用与软件

19)基于网页文本依存特征的人名消歧. 杨欣欣;李培峰;朱巧明计算机工程

20)细粒度科技论文摘要句子分类方法. 华秀丽;徐凡;王中卿;李培峰计算机工程

21)基于IPQueue的即时通信协议还原系统的设计与实现. 杨化志；许兰;李培峰;朱巧明计算机应用与软件

22)一种有效的信任协商多方安全计算模型. 平震宇;李培峰;朱巧明计算机应用研究