Bin Gu

Prior to joining MBZUAI, Gu was a full professor of Nanjing University of Information Science and Technology in China. He was a postdoctoral fellow with the University of Western Ontario from 2013 to 2015, with the University of Texas at Arlington from 2016 to 2017, and the University of Pittsburgh from 2017 to 2018.

Gu served as a program committee member or reviewer for several leading machine learning and data mining conferences and journals such as NIPS, ICML, KDD, AAAI, TPAMI, JMLR, and a senior program committee member of IJCAI 2019 to 2021.

• Ph.D. in computer science from the Nanjing University of Aeronautics and Astronautics, China.
• Bachelor of Science in computer science from the Nanjing University of Aeronautics and Astronautics, China.

Gu has published 70 or more papers, with more than 3000 citations.

• Incremental support vector learning for ordinal regression. B Gu, VS Sheng, KY Tay, W Romano, S Li. IEEE Transactions on Neural networks and learning systems 26 (7), 1403-1416, 2014.
• A Robust Regularization Path Algorithm for -Support Vector Classification. B Gu, VS Sheng. IEEE Transactions on neural networks and learning systems 28 (5), 1241-1248, 2016.
• Incremental learning for v-support vector regression. B Gu, VS Sheng, Z Wang, D Ho, S Osman, S Li. Neural networks 67, 140-150, 2015.
• Structural minimax probability machine. B Gu, X Sun, VS Sheng. IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1646-1656, 2016.
• Direct estimation of cardiac biventricular volumes with an adapted bayesian formulation. Z Wang, MB Salah, B Gu, A Islam, A Goela, S Li. IEEE Transactions on Biomedical Engineering 61 (4), 1251-1260, 2014.