报告题目：基于知识图谱的机器语言认知关键技术及应用

报告人：肖仰华

时间：2016年7月25日（周一）下午3:30—4:30

地点：北京大学计算机科学技术研究所402会议室

Abstract: 近年来大数据和人工智能技术飞速发展。以知识图谱为代表的大规模知识库构建以及应用技术，以深度学习为代表的类人化学习技术成为近期的热点研究问题。知识图谱、深度学习等技术的飞速发展，使得机器理解人类语言日益可能，并在智慧搜索、机器智脑以及智慧商务等一系列实际应用中日益彰显其应用价值。本报告系统介绍复旦大学知识图谱研究小组在机器语言认知方面的研究进展，以及相关技术的落地应用。

Short Bio:

Yanghua Xiao now is an associate professor of computer science at Fudan University. His research interest includes big data management and mining, graph database, knowledge graph. He was a visiting professor of Human Genome Sequencing Center at Baylor College Medicine, and visiting researcher of Microsoft Research Asia. Recently, he has published 70+ papers in international leading journals and top conferences, including SIGMOD,VLDB, ICDE, IJCAI, AAAI etc. He is the PI or Co-PI of 20+ projects supported by governments and Microsoft, IBM, China Telecom, Baidu, Huawei, Xiao I Robot etc. He regularly serves as the reviewer of 8+ funding agencies of government and PC member of 50+ international conference including IJCAI, SIGKDD, ICDE, WWW, CIKM, ICDM, COLING, DASFAA, ASONAM, etc, associate Editor of Frontier of Computer Science, and reviewers of 20+ leading journals such as Plos One, TKDE, WWW Journal, IEEE Intelligent System. He is a member of ACM, IEEE and senior member of CCF. He is the director of GDM@FUDAN (Graph Data Management Lab at Fudan, gdm.fudan.edu.cn), KW@FUDAN(Knowledge Works at Fudan, kw.fudan.edu.cn) and vice director of Shanghai Internet Big Data Engineering Center. He is also a chief scientist or senior adviser of big companies in China working on Web Information Management, Artificial Intelligence or Big Data Processing).