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Biography

Zhiming is currently an assistant professor at the Department of Computer Science, Shanghai University of Finance and Economics. He obtained his Ph.D. in Computer Science from Shanghai Jiao Tong University in 2020. He received his B.S. in Computer Science from the ACM Class at Shanghai Jiao Tong University in 2014.

Zhiming has a broad interest in fundamental techniques and theories of machine learning, including optimization, generalization, generative models, representation learning, learning theory, design principles of neural networks, etc. Ultimately, he hopes to contribute to laying a solid foundation for applying artificial intelligence in the real world.

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Selected Publications

Residual Multi-Task Learner for Applied Ranking. [openreview][acm]

Recurrent Temporal Revision Graph Networks. [openreview][acm] [arxiv]

Clustered Embedding Learning for Recommender Systems. [acm] [arxiv]

Lipschitz Generative Adversarial Nets. [pmlr] [arxiv] [slide] [code] [code] [code]

AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. [openreview] [arxiv] [poster] [code]

Activation Maximization Generative Adversarial Nets. [openreview] [arxiv] [code] [code]

Sparse-as-Possible SVBRDF Acquisition. [acm] [pdf] [slide]