Bin Gu

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Bin Gu, PhD
Assistant Professor
The department fo machine learning
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI),
E-mail: or
Address: Masdar City, Building 1B, 2rd Floor, Abu Dhabi, UAE

About me

Bin Gu received the B.S. and Ph.D. degrees in computer science from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2005 and 2011, respectively.

Dr. Gu currently is an assistant professor of department of machine learning in Mohamed bin Zayed University of Artificial Intelligence. He is also an adjunct professor of Western University. Before joining MBZUAI, he was a full professor of Nanjing University of Information Science and Technology. He was a Post-Doctoral Fellow with the University of Western Ontario, London, ON, Canada, from Feb. 2013 to Feb. 2015. He was a Post-Doctoral Fellow with the University of Texas at Arlington, from Aug. 2016 to Aug. 2017. He was a Post-Doctoral Fellow with the University of Pittsburgh from Sep. 2017 to July. 2018.


My research interests mainly focus on large scale optimization in machine learning which includes:

  • Large scale hyperparameter optimization

  • Parallel computation in machine learning

  • Federated learning

  • Stochastic optimization

  • Incremental learning

  • Large scale kernel learning

Find out more.

I am recruiting Postdoc, PhD, Master and Intern students in MBZUAI, with high motivation of doing research on large scale optimizaiton in machine learning. If you are interested, please feel free to contact me.

Recent Publications

  1. Wanli Shi, Bin Gu, Heng Huang. Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization. AAAI 2021.

  2. Zhouyuan Huo, Bin Gu, Heng Huang. Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. AAAI 2021.

  3. Huimin Wu, Bin Gu, Zhengmian Hu, Heng Huang. Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients. AAAI 2021.

  4. Qinsong Zhang, Bin Gu, Cheng Deng, Heng Huang. Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. AAAI 2021.

  5. Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng and Heng Huang. Scaling Up Generalized Kernel Methods. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Full list of publications.