Shiyu Liang 梁诗宇
Tenure-track Assistant Professor
John Hopcroft Center for Computer Science
Shanghai Jiaotong University
Email: liangshiyu513@gmail.com
I am a tenure-track assistant professor at John Hopcroft Center for Computer Science at Shanghai Jiaotong University. I am also appointed as a faculty member at Intelligent internet of Things (IIOT) Research Center. I received my Ph.D. in Electrical and Computer Engineering at University of Illinois at Urbana-Champaign, advised by Professor R. Srikant. After graduating from UIUC, I spent one year in University of Washington as a post-doctoral researcher, advised by Professor Sewoong Oh. Before joining UIUC, I graduated from Shanghai Jiao Tong University, where I spent three years in Professor Xinbing Wang's research group. My research interests include deep learning, machine learning, optimization and applied probability.
My research group is recruiting students interested in hot topics in deep learning, machine learning, optimization and probability.
Selected Publications
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Robust Generalization in Overparameterized Neural Networks Using Explicit Regularization
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Shiyu Liang, Ruoyu Sun and R. Srikant
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Working paper, 2020
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Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity
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Shiyu Liang, Ruoyu Sun and R. Srikant, 2019
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SIAM Journal of Optimization (submitted, current status: accepted and waiting for publication)
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Luoyi Fu, Songjun Ma, Lingkun Kong, Shiyu Liang and Xinbing Wang
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IEEE/ACM Transactions on Networking (ToN), 2018
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Adding One Neuron Can Eliminate All Bad Local Minima
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Shiyu Liang, Ruoyu Sun, Jason D. Lee and R. Srikant
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Thirty-second Conference on Neural Information Processing Systems (NeurIPS), 2018
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Understanding The Loss Surface of Neural Networks for Binary Classification.
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Shiyu Liang, Ruoyu Sun, Yixuan Li and R. Srikant.
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International Conference on Machine Learning (ICML), 2018
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Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.
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Shiyu Liang, Yixuan Li and R. Srikant.
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International Conference on Learning Representations (ICLR), 2018
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Why Deep Neural Network For Function Approximation?
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Shiyu Liang and R. Srikant.
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International Conference on Learning Representations (ICLR), 2017
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