JINGBing-yi

Home People Research Research Publications Teaching Protocol Sharing News Center for Pain Medicine Research Brief Info Software Alumni Join us Contact us JING Bing-yi Chair Professor College of Science, Department of Statistics and Data Science Prof. Jing received his Ph.D degree in Statistics from University of Sydney in 1993. He was a postdoctoral fellow at Australian National University from 1992 – 1994, supervised by the world well-known Statistician Prof. Peter Hall. He worked at Hong Kong University of Science and Technology as Professor at the Department of Mathematics and Director of the Center for Statistical Science from 1994-2021. Prof. Jing is now a chair professor at the Department of Statistics and Data Science at Southern University of Science and Technology (SUSTech). His research interests include Probability and Statistics, Financial Econometrics, Reinforcement Learning, Network Data Analysis, Bioinformatics and etc. He undertook many pioneering research in several fields and achieved groundbreaking results. He has published over 100 papers and cited by over 3500 times (Google Scholar). His research work appeared in many high-impact scientific journals including the four top journals in Statistics (Annals of Statistics, Journal of American Statistical Association, Biometrika, Journal of Royal Statistical Society B), top journals in Probability (Annals of Probability, Probability Theory and Related Fields, Bernoulli), top journals in Financial Econometrics (Journal of Econometrics, Journal of Business & Economic Statistics), top journals in Bioinformatics, and the top scientific journal in China (Science in China), etc. Prof. Jing was awarded the State Natural Science (Second Class) in 2015, the Research Excellent in Natural Science by the Ministry of Education of China both in 2010 and 2015. He was elected as Cheung Kong Chair Professor. Prof. Jing was a Fellow at American Statistical Association (ASA), Institute of Mathematical Statistics (IMS), an elected member at International Statistical Institute (ISI). He was associate editors for 7 international journals. Personal Profile Personal Profile Research • Reinforcement Learning; • Network Data Analysis; • Financial Econometrics; • Bioinformatics; • Probability and Statistics Teaching • Applied Statistics • Probability • Survey Sampling • Nonparametric Statistics • Stochastic Processes • Multivariate Statistical Analysis • Advanced Probability Theory • Advanced Statistical Inference • Advanced Time Series • Asymptotic Approximations in Statistics • Resampling Methods • Stochastic Calculus • Statistical Machine Learning • Reinforcement Learning Publications Read More Join us Read More Contact Us Contact Address Room 305, Business School Office Phone 0755-88011675 Email jingby@sustech.edu.cn