Researcher


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肖仰华  

教授、博导

上海市数据科学重点实验室主任

知识工场实验室负责人

邮箱:shawyh@fudan.edu.cn

地址:复旦大学江湾校区二号交叉学科楼

个人简介:肖仰华,博士,复旦大学计算机科学技术学院教授、博导,上海市数据科学重点实验室主任,复旦大学知识工场实验室负责人,复旦-爱数认知智能联合研究中心主任,曾任上海市互联网大数据工程中心副主任、多个省部级重点实验室或工程中心专家委员、多个学术团体专委会委员。2009年获得复旦大学博士学位后留校任教,先后任讲师、副教授、教授(2017年),兼复旦大学全媒体研究院特聘教授。其间,访问美国贝勒医学院、香港中文大学、微软亚洲研究院、阿里巴巴达摩院。在国际顶级学术会议与期刊发表论文150余篇。主编教材或专著4部。担任多个国际期刊编委,百余次承担国际顶级/重要学术会议组织与审稿工作。在SIGMOD、DASFAA、CIKM、ADMA等国际国内重要学术会议与论坛做主旨演讲、学术辅导和特邀报告等二百余次。先后承担四十多项目国家、省市、企业研发项目。在大规模知识图谱分析、管理、构建与应用方面展开深入研究,取得丰硕成果。先后获得上海市人才发展资金、华为优秀合作伙伴奖、阿里巴巴Research Fellowship Award、阿里巴巴最佳技术合作伙伴;CCF优秀博士论文提名奖、CCF优秀学术主任、CCF杰出演讲者、ACM上海卓越青年科学家提名奖等十多项荣誉,入选“2019赋能中国人工智能知识图谱20位标杆人物”。科研成果先后获得教育部自然科学二等奖两次、中国计算机学会自然获二等奖等多个科研奖项。

Research Interests

  • Big Data management, knowledge graph, graph knowledge base

Publications (DBLP personal homepage)

Selected Publications

  • Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, ZongYu Wang, Rui Xie, Yunsen Xian: Towards Visual Taxonomy Expansion.MM 2023
  • Sihang Jiang, Jianchuan Feng, Chao Wang, Jingping Liu, Zhuozhi Xiong, Chaofeng Sha, Weiguo Zheng, Jiaqing Liang, Yanghua Xiao: EASC: An Exception-Aware Semantic Compression Framework for Real-World Knowledge Graphs.KBS
  • Lipeng Ma, Weidong Yang, Bo Xu, Sihang Jiang, Ben Fei, Jiaqing Liang, Mingjie Zhou, Yanghua Xiao: KnowLog: Knowledge Enhanced Pre-trained Language Model for Log Understanding.ICSE 2023
  • Siyu Yuan, Jiangjie Chen, Ziquan Fu, Xuyang Ge, Soham Shah, C. R. Jankowski, Deqing Yang, Yanghua Xiao: Distilling Script Knowledge from Large Language Models for Constrained Language Planning.ACL 2023 Outstanding Paper
  • Siyu Yuan, Deqing Yang, Jinxi Liu, Shuyu Tian, Jiaqing Liang, Yanghua Xiao, Rui Xie: Causality-aware Concept Extraction based on Knowledge-guided Prompting.ACL 2023
  • Jiangjie Chen, Wei Shi, Ziquan Fu, Sijie Cheng, Lei Li, Yanghua Xiao: Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge.ACL 2023
  • Qianyu He, Yikai Zhang, Jiaqing Liang, Yuncheng Huang, Yanghua Xiao, Yunwen Chen: HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation.ACL 2023
  • Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao: FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph.ACL 2023
  • Jian Xie, Yidan Liang, Jingping Liu, Yanghua Xiao, Baohua Wu, Shenghua Ni: QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search.KDD 2023
  • Jingsong Yang, Guanzhou Han, Deqing Yang, Jingping Liu, Yanghua Xiao, Xiang Xu, Baohua Wu, Shenghua Ni: M3PT: A Multi-Modal Model for POI Tagging.KDD 2023
  • Zhiang Yue, Jingping Liu, Cong Zhang, Chao Wang, Haiyun Jiang, Yue Zhang, Xianyang Tian, Zhedong Cen, Yanghua Xiao, Tong Ruan: MA-MRC: A Multi-answer Machine Reading Comprehension Dataset.SIGIR 2023
  • Sheng-Chi You, Chao Wang, Baohua Wu, Jingping Liu, Quan Lu, Guanzhou Han, Yanghua Xiao: What Image do You Need? A Two-stage Framework for Image Selection in E-commerc.WWW 2023
  • Lihan Chen, Tinghui Zhu, Jingping Liu, Jiaqing Liang, Yanghua Xiao: End-to-end Entity Linking with Hierarchical Reinforcement Learning.AAAI 2023
  • Jiangjie Chen, Rui Xu, Wenyuan Zeng, Changzhi Sun, Lei Li, Yanghua Xiao: Converge to the Truth: Factual Error Correction via Iterative Constrained Editing.AAAI 2023
  • Zhouhong Gu, Sihang Jiang, Jingping Liu, Yanghua Xiao, Hongwei Feng, Zhixu Li, Jiaqing Liang, Jian Zhong: GANTEE: Generative Adversarial Network for Taxonomy Entering Evaluation.AAAI 2023
  • Yu Hong, Jiahang Li, Jianchuan Feng, Chenghua Huang, Zhixu Li, Jianfeng Qu, Yanghua Xiao, Wei Wang: Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-Supervised Relation Extraction.AAAI 2023
  • Qianyu He, Xintao Wang, Jiaqing Liang, Yanghua Xiao: MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base.AAAI 2023
  • Shuoyao Zhai, Baichuan Liu, Deqing Yang, Yanghua Xiao: Group Buying Recommend- ation Model Based on Multi-task Learning.ICDE 2023
  • Lyuxin Xue, Deqing Yang, Shuoyao Zhai, Yuxin Li, Yanghua Xiao: Learning Dual-view User Representations for Enhanced Sequential Recommendation.TOIS 2023
  • Jingping Liu, Tao Chen, Chao Wang, Jiaqing Liang, Lihan Chen, Yanghua Xiao, Yunwen Chen, Ke Jin: VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction.Artificial Intelligence Journal
  • Xintao Wang, Jiaqing Liang, Yanghua Xiao, Wei Wang: Prototypical Concept Representation. TKDE 2022
  • Xintao Wang, Qianyu He, Jiaqing Liang, Yanghua Xiao*: Language Models as Knowledge Embeddings. IJCAI 2022
  • Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao*: Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. ICDE 2022
  • Xuwu Wang, Junfeng Tian, Min Gui, Zhixu Li*, Rui Wang, Ming Yan, Lihan Chen, Yanghua Xiao*: WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types. ACL 2022
  • Qianyu He, Sijie Cheng, Zhixu Li*, Rui Xie, Yanghua Xiao*: Can Pre-trained Language Models Interpret Similes as Smart as Human? ACL 2022
  • Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei Li, Yanghua Xiao, Hao Zhou: E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning. ACL 2022
  • Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei Li: LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification. AAAI 2022
  • Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou ,Yanghua Xiao, Lei Li: Unsupervised Editing for Counterfactual Stories. AAAI 2022
  • Yuyan Chen, Yanghua Xiao, Bang Liu: Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation. ICDE 2022
  • Chao Wang, Jingping Liu, Tianyi Zhuang, Jiahang Li, Juntao Liu, Yanghua, Xiao, Wei Wang, Rui Xie: A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction. WSDM 2022: 1063-1071
  • Xinyao Shen, Jiangjie Chen, Jiaze Chen, Chun Zeng, Yanghua, Xiao: Diversified Query Generation Guided by Knowledge Graph. WSDM 2022: 897-907
  • Qiaoben Bao, Jiangjie Chen, Linfang Liu, Jingping Liu, Jiaqing Liang, Yanghua, Xiao: Harvesting More Answer Spans from Paragraph beyond Annotation. WSDM 2022: 27-36
  • Jingping Liu, Menghui Wang, Chao Wang, Jiaqing Liang, Lihan Chen, Haiyun Jiang, Yanghua, Xiao, Yunwen Chen: Learning Term Embeddings for Lexical Taxonomies. AAAI 2021: 6410-6417
  • Li Cui, Deqing Yang, Jiaxin Yu, Chengwei Hu, Jiayang Cheng, Jingjie Yi, Yanghua, Xiao: Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction. ACL/IJCNLP 2021: 232-243
  • Qiao Cheng, Juntao Liu, Xiaoye Qu, Jin Zhao, Jiaqing Liang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Yanghua, Xiao: HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications. ACL/IJCNLP 2021(Findings): 2819-2831
  • Chenhao Xie, Jiaqing Liang, Jingping Liu, Chengsong Huang, Wenhao Huang, Yanghua, Xiao: Revisiting the Negative Data of Distantly Supervised Relation Extraction. ACL/IJCNLP 2021: 3572-3581
  • Chenhao Xie, Wenhao Huang, Jiaqing Liang, Chengsong Huang, Yanghua, Xiao: WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model. CIKM 2021: 2211-2220
  • Jiaqing Liang, Suo Feng, Chenhao Xie, Yanghua, Xiao, Jindong Chen, Seung-won Hwang: Bootstrapping Information Extraction via Conceptualization. ICDE 2021: 49-60
  • Xinyao Shen, Jiangjie Chen, Yanghua, Xiao: Diversified Paraphrase Generation with Commonsense Knowledge Graph. NLPCC 2021: 353-364
  • Li Cui, Deqing Yang, Jiayang Cheng, Yanghua, Xiao: Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction. PAKDD 2021: 416-428
  • Siyu Yuan, Deqing Yang, Jiaqing Liang, Jilun Sun, Jingyue Huang, Kaiyan Cao, Yanghua, Xiao, Rui Xie: Large-Scale Multi-granular Concept Extraction Based on Machine Reading Comprehension. ISWC 2021: 93-110

Books

  • 肖仰华, 徐波, 林欣, 李直旭, 彭鹏, 郑卫国, 邵斌, 何亮, 阳德青, 崔万云.《知识图谱:概念与技术》, 电子工业出版社, 2020
  • 吴强, 肖仰华.《人工智能(高中版)》, 上海教育出版社, 2020
  • 肖仰华.《图对称性理论及其在数据管理中的应用》, 科学出版社, 2018

Talks

各种形式知识图谱报告、讲座或授课近200场,代表性单位包括青海司法厅、微软、华为、阿里、平安、香港中文大学、高丽大学、北京大学、国防科技大学等。受国际学术会议邀请,包括 ADMA、PIC、ICT-BDCS、WISE、ASK、ICEEIS、AICS、IDEAL 等做大会报告、学术辅导、特邀讲座 10 余次。 受中国计算机学会、中国人工智能学会、中国图书情报学会等多个学会邀请,做知识图谱特邀报告、讲座 10 多次。受到国家人社部发起的“国家级专业技术人才-语义网与知识图谱关键技术高级研修项目”邀请授课。

Teaching Courses

“知识图谱”专题课程.从 2018 年开始,先后在上海财经大学、中国农业大学、北京理工大学、苏州阳澄湖半岛等地举办了由 10 名专家授课、为期三天、累计 32 课时的《知识图谱:概念与技术》课程培训,数千人次参加了系统培训,受到了广泛好评,平均授课评分高达 9 分(满分 10 分)。2020 年该课程受到华为云赞助,开展在线公开授课,课程反响强烈,课程学员达 12744 人,观看总次数达到 47800 次,课程反响强烈。