HE Bingsheng

HE Bingsheng is a Professor at the Department of Computer Science, National University of Singapore. He holds a Ph.D. in Computer Science from the Hong Kong University of Science & Technology and a B.E. and B.B.A. in Computer Science & Engineering and Business Administration from Shanghai Jiao Tong University. Prior to joining NUS in 2016, he worked at Microsoft Research Asia and Nanyang Technological University. His research interests include Big data management systems, cloud computing, and parallel and distributed systems. He has served on program committees for international conferences and editorial boards of journals. His work has been published in prestigious venues such as ACM SIGMOD, VLDB, and IEEE TPDS.

Bingsheng He is a Professor in the Department of Computer Science at the National University of Singapore, specializing in database systems, big data systems, and AI&ML systems. His research focuses on advancing distributed computing, data privacy, and efficient data processing techniques. He has contributed significantly to federated learning, with works such as 'Model-Contrastive Federated Learning' and 'Practical federated gradient boosting decision trees'. His publications also explore GPU-accelerated systems, including 'Mars: a MapReduce framework on graphics processors' and 'ThunderSVM: A Fast SVM Library on GPUs and CPUs'. Additionally, he has investigated database compression, query optimization, and cloud computing economics, emphasizing practical and scalable solutions for modern data challenges.