"What does LLM (ChatGPT) Bring to Data Science Research and Education? Pros and Cons"
Prof. Lei Chen
Hong Kong University of Science and Technology (Guangzhou), China
Lei Chen has BS degree in computer science and engineering from Tianjin University, Tianjin, China, MA degree from Asian Institute of Technology, Bangkok, Thailand, and PhD in computer science from the University of Waterloo, Canada. He is a chair professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST). Currently, Prof. Chen serves as the dean of information hub at HKUST (GZ), director of Big Data Institute at HKUST, director of HKUST MOE/MSRA Information Technology Key Laboratory, director of HKUST(GZ)- Create Link Graph Data Joint Lab, MOE/MSRA Information Technology Key Laboratory Prof. Chen’s research interests include human-powered machine learning, crowdsourcing, Blockchain, graph data analysis, probabilistic and uncertain databases and time series and multimedia databases. Prof. Chen got the SIGMOD Test-of-Time Award in 2015 and the best paper award in VLDB 2022.The system developed by Prof. Chen’s team won the excellent demonstration award in VLDB 2014. Prof. Chen has served as VLDB 2019 PC Co-chair and Editor-in-Chief of VLDB Journal. Currently, Prof. Chen serves as Editor-in-Chief of IEEE Transaction on Data and Knowledge Engineering and PC Co-chairs of IEEE Conference on Data Engineering (ICDE 2023). He is an IEEE Fellow, ACM Distinguished Member and an executive member of the VLDB endowment.
Prof. Xiaochun Yang
Northeastern University, China
Yang Xiaochun is a professor in the School of Computer Science and Engineering at Northeastern University, China. She was a recipient of NSFC Outstanding Youth Award and was selected in the National High-Level Personnel Recruitment Program, the New Century Excellent Talents Program in Universities, and the CCF Distinguished Speaker Program. She is an IEEE senior member and CCF distinguished member. Her current research interests are in the area of text and time series management, data privacy preserving, recommendation systems, and etc. She has co-authored two books, one text book, an invited paper in ACM SIGMOD Record 2010, and more than 150 papers, including four Best Paper awards of international conferences, and five best paper awards of national conferences. She served as a General Co-chair for ADMA 2023, Program Co-chair for ADMA 2020, NDBC 2020. She has also been serving on Program Committees of the leading database and AI conferences including SIGMOD, SIGKDD, VLDB, ICDE, AAAI, IJCAI, CIKM.
Dr. Sihem Amer-Yahia
Sihem Amer-Yahia is a Silver Medal CNRS Research Director and Deputy Director of the Lab of Informatics of Grenoble. She works on exploratory data analysis and fairness in job marketplaces. Before joining CNRS, she was Principal Scientist at QCRI, Senior Scientist at Yahoo! Research and Member of Technical Staff at at&t Labs. Sihem is PC chair for SIGMOD 2023 and vice president of the VLDB Endowment. She currently leads the Diversity, Equity and Inclusion initiative for the database community.
Prof. Kyuseok Shim
Seoul National University, Korea
Kyuseok Shim is a Professor at Department of Electrical and Computer Engineering at Seoul National University, Korea. He is currently an Editor-In-Chief of the VLDB Journal and was previously an Associate Editor for the IEEE TKDE, VLDB as well as PVLDB journals. He also served as a Program Co-chair for PAKDD 2003, WWW 2014, ICDE 2015, APWeb 2016, BigComp 2019 and ICDM 2019 conferences and have been serving on Program Committees of the leading database as well as data mining conferences including SIGMOD, SIGKDD, ICDE, ICDM, EDBT, VLDB, WWW and CIKM. He became an ACM fellow and an IEEE fellow for the contributions to scalable data mining and query processing in 2013 and 2019 respectively. He was previously a member of the VLDB Endowment Board of Trustees and is currently a steering committee member of PAKDD as well as DASFAA conferences. He served as the president of the Korean Information Scientist and Engineers (KIISE) in 2022 and became a member of National Academy of Engineering of Korea in 2023. He has been working in the area of data mining, machine learning, privacy preservation, query processing, query optimization, data warehousing, semi-structured data (XML), stream data and histograms.
Prof. Angela Bonifati
Lyon 1 University, France
Angela Bonifati (PhD, 2002) is a Professor of Computer Science at Lyon 1 University and at the CNRS Liris research lab, where she leads the Database Group. She is also an Adjunct Professor at the University of Waterloo in Canada since 2020. Her current research interests are on several aspects of graph databases, knowledge graphs and data integration. She has also co-authored more than 150 publications in top venues of the data management field, including two Best Paper awards (ICDE22, VLDB22 runner up). She is the recipient of the TCDE Impact Award 2023 and a co-recipient of an ACM Research Highlights Award 2022. She has co-authored two books (on Schema Matching and Mapping edited by Springer in 2011 and on Querying Graphs edited by Morgan & Claypool in 2018) and an invited paper in ACM Sigmod Record 2018 on Graph Queries. She was the Program Chair of ACM Sigmod 2022 and EDBT 2020 and she is currently an Associate Editor for both Proceedings of VLDB and IEEE ICDE. She is an Associate Editor for several journals, including the VLDB Journal and ACM TODS. She is currently the President of the EDBT Executive Board and a member of the Sigmod Executive Committee.
Prof. Jianliang Xu
Hong Kong Baptist University, Hong Kong China
Jianliang Xu is the Head and Professor of the Department of Computer Science at Hong Kong Baptist University, where he leads the Database Research Group. He received his BEng degree from Zhejiang University and his PhD degree from Hong Kong University of Science and Technology. His current research interests include big data management, data security & privacy, and blockchain technology. With an h-index of 54, he has published more than 250 technical papers in these areas, most of which appeared in leading journals and conferences including SIGMOD, PVLDB, ICDE, TKDE, and VLDBJ. He is listed among the world's top 2% of scientists by Stanford University. He has served as a conference co-chair for a number of international conferences and an Associate Editor for several top-tier international journals including IEEE Transactions on Knowledge & Data Engineering (TKDE, 2014-2020) and Proceedings of the VLDB Endowment (PVLDB, 2023-2024). More details can be found at: https://www.comp.hkbu.edu.hk/~xujl/.
Prof. Guoliang Li
Tsinghua University, China
Guoliang Li is a full professor at Department of Computer Science, Tsinghua University. His research interests include database systems and large-scale data cleaning and integration. He got VLDB 2017 Early Research Contribution Award, IEEE Fellow, TCDE 2014 Early Career Award, CIKM 2017 Best Paper Award, KDD 2018 Best Papers, ICDE 2018 Best Papers, DASFAA 2014 Best Paper Runnerup, APWeb 2014 Best Paper Award, EDBT 2013 Similarity Join and Search Champion. He was the SIGMOD 2021 General Co-chairs. He regularly served as PC Member of SIGMOD, VLDB, ICDE, KDD, WWW. He is serving as associate editor for IEEE TKDE, VLDB Journal.