杜剑峰，bevictor伟德官网教授，中国中文信息学会语言与知识计算专委会委员。长期从事知识表示与推理、软件工程、分布式系统、自然语言处理和商业智能等领域的研究与应用工作，主讲数据挖掘、商业智能、大数据应用实践、知识工程、知识图谱及应用等本科和研究生课程，曾出访澳大利亚格里菲斯大学、英国兰卡斯特大学和阿伯丁大学展开科研交流合作。在AAAI、IJCAI、NeurIPS、ACL、ASE、WWW等中国计算机学会推荐A类会议上发表过数十篇第一作者或通讯作者论文，取得多项国家自然科学基金项目的立项资助。担任国际权威期刊Journal of Web Semantics编委会成员，长期担任NeurIPS、IJCAI、AAAI、ICML、ICLR、ISWC、CCKS、CSWS等国内外权威学术会议的程序委员会领域主席或成员，担任CSWS 2014程序委员会主席、CCKS2021本地主席。
联系邮箱：jfdu@gdufs.edu.cn
教育背景
* 2004/09-2009/01，中国科学院软件研究所，计算机科学国家重点实验室，博士
* 1999/09-2002/06，中山大学，软件研究所，硕士
* 1995/09-1999/06，中山大学，计算科学系，学士
主要科研项目
[1] 国家自然科学基金项目面上项目《基于溯因推理的知识图谱补全结果解释机制研究》（61876204，2019.1-2022.12，主持）
[2] 国家自然科学基金项目面上项目《缺失和不一致数据环境下描述逻辑查询回答的高效方法研究》（61375056，2014.1-2017.12，主持）
[3] 国家自然科学基金项目青年项目《修复不一致OWL本体的高效方法研究》（61005043，2011.1-2013.12，主持）
[4] 广东省自然科学基金项目面上项目《不一致描述逻辑知识库中的溯因查询回答研究》（S2013010012928，2013.10-2015.10，主持）
[5] 广州市科技计划项目《基于知识图谱的保险产品语义搜索与个性化推荐》（201804010496，2018.5-2020.4，主持）
主要学术成果（*是通讯作者，无此标记的论文中通讯作者和第一作者是同一人）
[1] Hai Wan, Pingjia Liang, Jianfeng Du*, Weilin Luo, Rongzhen Ye, Bo Peng. End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding. In Proc. of the 37th AAAI Conference on Artificial Intelligence (AAAI-24), 9071-9079, 2024.
[2] Kunxun Qi, Jianfeng Du*, Hai Wan*. Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion. In Proc. of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS-23), 2023.
[3] Rongzhen Ye, Tianqu Zhuang, Hai Wan*, Jianfeng Du*, Weilin Luo, Pingjia Liang. A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving. In Proc. of the 36th AAAI Conference on Artificial Intelligence (AAAI-23), 4809-4817, 2023.
[4] Weilin Luo, Pingjia Liang, Jianfeng Du*, Hai Wan*, Bo Peng, Delong Zhang. Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae. In Proc. of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), 9849-9857, 2022.
[5] Weilin Luo, Hai Wan*, Jianfeng Du*, Xiaoda Li, Yuze Fu, Rongzhen Ye and Delong Zhang. Teaching LTLf Satisfiability Checking to Neural Networks. In Proc. of the 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 3292-3298, 2022.
[6] Kunxun Qi, Hai Wan*, Jianfeng Du*, Haolan Chen. Enhancing Cross-Lingual Natural Language Inference by Prompt-learning from Cross-Lingual Templates. In Proc. of the 60th Annual Meeting of the Association for Computational Linguistics (ACL-22), 1:1910-1923, 2022.
[7] Weilin Luo, Hai Wan*, Delong Zhang, Jianfeng Du*, Hengdi Su. Checking LTL Satisfiability via End-to-end Learning. In Proc. of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE-22): 21:1-21:13, 2022.
[8] Hai Wan, Manrong Zhang, Jianfeng Du*, Ziling Huang, Yufei Yang, Jeff Z. Pan. FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction. In Proc. of the 35th AAAI Conference on Artificial Intelligence (AAAI-21), 13916-13923, 2021.
[9] Hai Wan, Haicheng Chen, Jianfeng Du*, Weilin Luo, Rongzhen Ye. A DQN-based Approach to Finding Precise Evidences for Fact Verification. In Proc. of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-21), 1:1030-1039, 2021.
[10] Kunxun Qi and Jianfeng Du*. Translation-based Matching Adversarial Network for Cross-lingual Natural Language Inference. In Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI-20), 8632-8639, 2020.
[11] Hai Wan, Yufei Yang, Jianfeng Du*, Yanan Liu, Kunxun Qi, Jeff Z. Pan. Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis. In Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI-20), 9122-9129, 2020.
[12] Jianfeng Du, Jeff Z. Pan, Sylvia Wang, Kunxun Qi, Yuming Shen and Yu Deng. Validation of Growing Knowledge Graphs by Abductive Text Evidences. In Proc. of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), 2784-2791, 2019.
[13] Jianfeng Du, Hai Wan and Huaguan Ma. Practical TBox Abduction Based on Justification Patterns. In Proc. of the 31st AAAI Conference on Artificial Intelligence (AAAI-17), 1100-1106, 2017.
[14] Jianfeng Du, Kewen Wang and Yi-Dong Shen. Towards Tractable and Practical ABox Abduction over Inconsistent Description Logic Ontologies. In Proc. of the 29th AAAI Conference on Artificial Intelligence (AAAI-15), pages 1489-1495, 2015.
[15] Jianfeng Du, Jeff Z. Pan. Rewriting-Based Instance Retrieval for Negated Concepts in Description Logic Ontologies. In Proc. of the 14th International Semantic Web Conference (ISWC-15), 338-355, 2015.
[16] Jianfeng Du, Guilin Qi and Xuefeng Fu. A Practical Fine-grained Approach to Resolving Incoherent OWL 2 DL Terminologies. In Proc. of the 23rd ACM International Conference on Information and Knowledge Management (CIKM-14), pages 919-928, 2014.
[17] Jianfeng Du, Kewen Wang and Yi-Dong Shen. A Tractable Approach to ABox Abduction over Description Logic Ontologies. In Proc. of the 28th AAAI Conference on Artificial Intelligence (AAAI-14), pages 1034-1040, 2014.
[18] Jianfeng Du, Guilin Qi and Yi-Dong Shen. Weight-based consistent query answering over inconsistent SHIQ knowledge bases. Knowledge and Information Systems (KAIS), 34(2): 335-371, 2013.
[19] Yong Hu, Jianfeng Du, Xiangzhou Zhang, Xiaoling Hao, E. W. T. Ngai, Ming Fan and Mei Liu. An integrative framework for intelligent software project risk planning. Decision Support Systems 55(4): 927-937, 2013.
[20] Jianfeng Du, Guilin Qi, Yi-Dong Shen and Jeff Z. Pan. Towards Practical ABox Abduction in Large OWL DL Ontologies. In Proc. of the 25th AAAI Conference on Artificial Intelligence (AAAI-11), pages 1160-1165, 2011.
[21] Jianfeng Du, Guilin Qi, Jeff Z. Pan and Yi-Dong Shen. A Decomposition-based Approach to Optimizing Conjunctive Query Answering in OWL DL. In Proc. of the 8th International Semantic Web Conference (ISWC-09), LNCS 5823, 146-162, 2009.
[22] Jianfeng Du, Guilin Qi and Qiu Ji. Goal-Directed Module Extraction for Explaining OWL DL Entailments. In Proc. of the 8th International Semantic Web Conference (ISWC-09), LNCS 5823, 163-179, 2009.
[23] Guilin Qi and Jianfeng Du. Model-based Revision Operators for Terminologies in Description Logics. In Proc. of the 21st International Joint Conference on Artificial Intelligence (IJCAI-09), 891-897, 2009.
[24] Jianfeng Du and Yi-Dong Shen. Computing Minimum Cost Diagnoses to Repair Populated DL-based Ontologies. In Proc. of the 17th International World Wide Web Conference (WWW-08), 575-584, 2008.
[25] 杜剑峰著《基于RapidMiner的商业智能实践》，科学出版社，2020.
[26] 漆桂林、黄智生、杜剑峰编著《面向语义Web的知识管理技术》，高等教育出版社，2015.
员工指导成果
* 优秀研究生导师
* 优秀本科生导师
* 国家级/省级/校级老员工创新创业项目指导老师
