郑海涛简介

清华大学副教授、博士生导师

计算机科学与技术

深圳市智能语义挖掘技术工程实验室副主任

深圳市智搜信息技术有限公司首席科学家

清华大学知识工程研究中心副主任

主要从事人工智能和互联网领域的研究

【个人简历】

• 1997年09月-2001年07月 中山大学计算机软件专业本科毕业
• 2001年09月-2004年12月 中山大学计算机软件与理论专业硕士毕业
• 2005年07月-2006年02月 华南农业大学计算科学与技术系教师
• 2006年03月-2009年08月 韩国首尔国立大学医疗信息学专业博士毕业

【主讲课题】

• 《知识工程》
• 《面向对象技术与应用》
• 《人工智能程序设计》
• 《游戏引擎原理与实践》
• 《人工智能和语义挖掘》
• 《智能计算和知识工程》
• 《解读2022年电信和互联网行业网络安全检查重点内容》
• 《互联网时代下的产品创新与爆品打造》
• 《大数据与数据科学》
• 《互联网商业模式创新》
• 《企业数字化转型》
• 《互联网与人工智能》
• 《软件工程》
• 《高级人工智能》
• 《大数字科学应用》
• 《网络空间安全前沿问题研究》
• 《高级信息技术项目管理》
• 《高级人工智能与安全分析》
• 《大数据分析与可视化技术》
• 《高级算法设计与分析》
• 《高级软件工程》
• 《互联网运营管理》
• 《研发管理》
• 《互联网产品设计》

【研究领域】

郑海涛教授长期从事人工智能和互联网领域的研究，带领团队的研究成果处于世界领先地位并已经得到了国内外同行的认可，已在国际顶级期刊/会议上共发表论文75篇，其中在人工智能顶级期刊/会议发表32篇论文，包括CCF A类/清华计算机A类论文15篇，JCR一区SCI期刊10篇，Google scholar引用数超过4500次。此外，其长期担任国际顶级期刊/会议NIPS、ACL、TKDE、TOC、TIT的审稿人，在学术界有较大的影响力。

【代表性论文】

• Zhang, Y., Li, Z., Liu, Z., Zheng H T*., Shen, Y., & Zhou, L. (2021). Event Detection with Dynamic Word-Trigger-Argument Graph Neural Networks. IEEE Transactions on Knowledge and Data Engineering. (CCF-A类，SCI检索)
• Feng, L., Qiu, M., Li, Y., Zheng H T*, & Shen, Y. (2021, November). Wasserstein Selective Transfer Learning for Cross-domain Text Mining. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.2021. (CCF-B类，EI检索)
• Chen M, Lin Z, Sun R, Ouyang K, Zheng H T*, Xie R,Wu W. Retrieval Enhanced Segment Generation Neural Network for Task-Oriented Dialog Systems. In IEEE ICASSP 2022. (CCF-B类，EI检索)
• Sun R, Chen B, Zhou Q, Li Y, Cao Y, Zheng H T*. A Non-hierarchical Attention Network with Modality Dropout for Textual Response Generation in Multimodal Dialogue Systems. In IEEE ICASSP 2022. (CCF-B类，EI检索)
• Wang D , Ding N , Li P , Zheng H T*, et al. CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding[C]// Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. 2021. (CCF-A类，EI检索)
• Ding N , Xu G , Y Chen, Zheng H T*, et al. Few-NERD: A Few-Shot Named Entity Recognition Dataset[C] // Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. 2021. (CCF-A类，EI检索)
• Wang W, Li P, Zheng H T*, et al. Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF-A类，EI检索)
• Feng L, Qiu M, Li Y, Zheng H T*, Shen Y, et al. Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF-A类，EI检索)
• Shen, Ying, et al. "Modeling Relation Paths for Knowledge Graph Completion." IEEE Transactions on Knowledge and Data Engineering (2020). (CCF-A类，SCI检索)
• Zihan Xu ,Hai-Tao Zheng*, Zuoyou Fu , Wei Wang :Enhancing Question Understanding and Representation for Knowledge Base Relation Detection. IEEE International Conference on Data Mining, ICDM 2018 : 1362-1367（CCF-B类，EI检索）
• Ningning Ma , Xiangyu Zhang , Hai-Tao Zheng*, Jian Sun : ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. ECCV (14) 2018 : 122-138（CCF-B类，EI检索）
• Lin Z , Li Z , Ding N,Hai-Tao Zheng*,et al. Integrating Linguistic Knowledge to Sentence Paraphrase Generation[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 2020, 34(5):8368-8375. (CCF-A类，EI检索)
• Xu Z , Zheng H T* , Zhai S , et al. Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 2020, 34(5):9370-9377. (CCF-A类，EI检索)
• Bai Y , Li Z , Ding N, Hai-Tao Zheng*, et al. Infobox-to-text Generation with Tree-like Planning based Attention Network[C]// Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20. 2020. (CCF-A类，EI检索)
• Li Z , Lin Z , Ding N, Hai-Tao Zheng*, et al. Triple-to-Text Generation with an Anchor-to-Prototype Framework[C]// Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20. 2020. (CCF-A类，EI检索)
• Ding N , Long D , Xu G , Hai-Tao Zheng*, et al. Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation[C]// Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020. (CCF-A类，EI检索)
• Lin Z , Cai D , Wang Y , Hai-Tao Zheng*,et al. The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection[C]// Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing ,2020. (CCF-B类，EI检索)
• Jin-Yuan Chen , Hai-Tao Zheng*, Yong Jiang , Shu-Tao Xia , Cong-Zhi Zhao : A probabilistic model for semantic advertising. Knowl. Inf. Syst. 59(2) : 387-412 (2019)（CCF-B类，EI检索）
• Ziran Li, Ning Ding, Zhiyuan Liu, Hai-Tao Zheng*, Ying Shen. Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge[C]//Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL). 2019.（CCF-A类，EI检索）
• Jin-Yuan Chen, Hai-Tao Zheng*, Yong Jiang, Shu-Tao Xia, Cong-Zhi Zhao: A probabilistic model for semantic advertising. knowledge and information systems. 59(2): 387-412 (2019) （CCF-B类，SCI检索）
• Wei Wang, Hai-Tao Zheng*, Hao Liu. User Preference-Aware Review Generation[C] //Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer, Cham, 2019: 225-236. （CCF-B类，EI检索）
• Ning Ding, Ziran Li, Zhiyuan Liu, Hai-Tao Zheng*, Zibo Lin. Event Detection with Trigger-Aware Lattice Neural Network.[C] // Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019, 347-356. (CCF-B类，EI检索)
• Wang D , Li Z , Hai-Tao Zheng* , et al. Integrating User History into Heterogeneous Graph for Dialogue Act Recognition[C]// Proceedings of the 28th International Conference on Computational Linguistics. 2020. (CCF-B类，EI检索)
• Wang L , Xu Z , Lin Z , Hai-Tao Zheng*,et al. Answer-driven Deep Question Generation based on Reinforcement Learning[C]// Proceedings of the 28th International Conference on Computational Linguistics. 2020. (CCF-B类，EI检索)
• Sheng D , Wang D , Shen Y , Hai-Tao Zheng*, et al. Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition[C]// Proceedings of the 28th International Conference on Computational Linguistics. 2020. (CCF-B类，EI检索)
• Hai-Tao Zheng, Ji-Min Guo, Yong Jiang, Shu-Tao Xia:Query-Focused Multi-document Summarization Based on Concept Importance. PAKDD (2) 2016: 443-453（CCF-B类，EI检索）

【兼职情况】

• 中国语义网及网络科学国际会议组委会主席
• 国际语义处理促进会议技术评委

【获奖情况】

• 2020年腾讯AI Lab犀牛鸟专项研究及访问学者计划技术创新奖（全国仅2名）
• 2021年度腾讯犀牛鸟精英人才计划"优秀导师奖"
• 2022年10月获得第二十一届中国计算语言学大会CCL2022年度"汉语学习者文本纠错评测竞赛一等奖"
• CSWS2010 Best Poster Award
• VALSE2019 年度杰出论文奖
• 深圳市孔雀计划海外高层次人才
• 深圳市南山区"领航人才"
• 深圳市地方级领军人才

【优秀学生】

• 丁宁：2021"百度奖学金"、2020、2021年博士研究生国家奖学金、清华大学深圳国际研究生院"学术新秀"提名奖、清华大学研究生"清峰"奖学金
• 李自然：2019年硕士研究生国家奖学金、全球"西贝尔"学者称号（中国仅6人）、清华大学优秀硕士毕业论文、清华大学计算机系优秀毕业生
• 林子博：清华大学计算机系优秀毕业生
• 徐子涵：清华大学优秀毕业生、清华大学优秀硕士毕业论文
• 周颖敏：清华大学优秀硕士毕业论文
• 陈望：清华大学计算机系优秀毕业