报告人：美国伊利诺伊大学芝加哥分校Bing Liu教授（ACM/IEEE/AAAI Fellow，ACM SIGKDD主席）
讲座内容简介: This will be an informal session on how to do CS research. The goal is to help graduate students and young faculty to successfully navigate through their study and early research career. I will first present some general ideas on what research to do and how to do it, and how to write a good research paper. I will then share some of my personal experiences in conducting research. After that, we can have an open discussion about any issues that the students and faculty may be interested in.
主讲人简介：Bing Liu is a professor of Computer Science at the University of Illinois at Chicago. He received his Ph.D. in Artificial Intelligence from the University of Edinburgh. His research interests include lifelong machine learning, sentiment analysis, data mining, machine learning, and natural language processing. He has published extensively in top conferences and journals in these areas. Two of his papers received 10-year Test-of-Time awards from KDD, the premier conference of data mining and data science. He also authored four books: one on lifelong machine learning, one on Web data mining, and two on sentiment analysis. Some of his work has also been widely reported in the press, including a front-page article in the New York Times. On professional services, he serves as the current Chair of ACM SIGKDD. He has served as program chair of many leading data mining conferences, including KDD, ICDM, CIKM, WSDM, SDM, and PAKDD, as associate editor of leading journals such as TKDE, TWEB, and DMKD, and as area chair or senior PC members of numerous natural language processing, AI, Web research, and data mining conferences. He is a Fellow of ACM, AAAI and IEEE.