Professor Han is the Assistant Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen. He obtained his Ph.D. degree from University of Notre Dame at the Department of Computer Science and Engineering, 2022. Before that, he received a B.S. degree in software engineering and a M.S. degree in computer software and theory in 2014 and 2017, respectively. Both degrees are from Xidian University. His research focuses on visualization, user interface and interaction, human-computer interaction, and deep learning. Currently, his interests lie in how to apply deep learning techniques to enhance the visualization process and develop smart interfaces for users to better interact with computers. Prof. Han has published more than 20 papers in the field of visualization, including 6 papers in the top journal IEEE TVCG and 6 long articles in top visualization conferences (i.e., IEEE VIS, EuroVIS, and PacificVis). He was invited to serve as a program committee member at IEEE VIS Short Paper 2021 and 2022.

Professor Jiaming Liang is the Assistant Professor in the School of Data Science, The Chinese University of Hong Kong, Shenzhen. Prior to that, he was a postdoctoral researcher in the Department of Computer Science at Yale University. He received his Ph.D. in Operations Research from Georgia Tech in 2022. Professor Liang’s research interests lie in theory, algorithms, and applications of continuous optimization and high-dimensional sampling.

Professor Benyou Wang is the Assistant Professor in the School of Data Science, The Chinese University of Hong Kong, Shenzhen. He received Ph.D. degree at the University of Padua, Italy, funded by the Marie Curie Fellowship. He obtained a master's degree from Tianjin University. In his research career, he has visited University of Copenhagen (Denmark), University of Montreal (Canada), University of Amsterdam (the Netherlands), Huawei Noah's Ark Laboratory (Shenzhen, China), Institute of Theoretical Physics (Chinese Academy of Sciences, Beijing China), and Language Institute (Chinese Academy of Social Sciences, Beijing, China). He is committed to building explainable, robust, and efficient natural language processing approaches that are with both technical rationality and linguistic motivation. So far, he and his collaborators have won the Best Paper Nomination Award in SIGIR 2017 (the top conference in information retrieval) and Best Explainable NLP Paper in NAACL 2019 (a top conference on natural language processing). He had many articles in top international conferences NeurIPS/ICLR/SIGIR/WWW/NAACL and top international journals such as IEEE Transactions on Information System (TOIS), IEEE Transaction on Cybernetics (TOC), and Theoretical Computer Science (TCS). According to Google Scholar, he had achieved nearly 1000 citations with an h-index of 16 when he receives his Ph.D. degree.

To help students better understand the real experience of doctoral study, solve the problems they encounter when applying for and studying for a doctoral degree, and increase their understanding of doctoral study, the Master of Science in Data Science Programme held a sharing session in May 2022 to provide students with more realistic and effective references and help from the aspects of academic planning and application preparation. The sharing guests were Xinlei Wang, 2020 Cohort, currently studying Electrical and Information Engineering at the University of Sydney; Chuxuan Fan, 2021 Cohort, currently studying Finance at the School of Economics and Management at The Chinese University of Hong Kong, Shenzhen.

For those who aim to further their studies, the Master
of Science in Data Science (MSc. in Data Science) Programme organized a communication session "Ph.D.: Now and Future". We invited Professor Jianfeng Mao, the Programme Director, and students who graduated from the MSc. in Data Science Programme and are currently pursuing their Ph.D. at our school. Students who were interested in or aiming at doctoral application were also invited.

On April 9th, 2022, the School of Data Science of The Chinese University of Hong Kong, Shenzhen held an online information session “CUHK-Shenzhen School Round Table”. Prof. Hongyuan Zha, Prof. Haizhou Li, Prof. Tianwei Yu, and Prof. Zizhuo Wang introduced in details about the shool, programs, placement and international exchange opportunities to give a full picture to students who are interested in applying to SDS. This event has attracted about 500 audiences online.

Born in 2002, Xinfei Li entered the university at the age of 16. He got straight A in the core courses of Computer Science and Engineering. During the summer vacation of his junior years, he worked as an intern in Tencent Fintech Department and got a return offer from Tencent. He interned for one year at Tencent in his senior years. Now he is working at Tencent as a full-time employee after he graduated from SDS.