I'm currently a Ph.D. candidate at Department of Computer Science & Engineering, University of Minnesota, Twin Cities. My advisor is Prof. Arindam Banerjee. My research interests are in Machine Learning, especially in stochastic optimization, generalization, and differential privacy.

Before coming to UMN, I obtained my Bachelor degree in Electronic Information and Communications from Huazhong University of Science & Technology.

Publications

PREPRINTS

• Private Adaptive Gradient Descent for Non-convex Optimization

Yingxue Zhou*, Xiangyi Chen*, Mingyi Hong, Steven Wu, Arindam Banerjee, (*equal contribution)

arXiv preprint arXiv:2006.13501 (2020).

• De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors

Arindam Banerjee, Tiancong Chen, Yingxue Zhou,

arXiv preprint arXiv:2002.09956 (2020).

CONFERENCE PAPERS

• Noisy Truncated SGD: Optimization and Generalization

Yingxue Zhou*, Xinyan Li*, Arindam Banerjee (*equal contribution)

Accepted to SIAM International Conference on Data Mining (SDM), 2022.

• Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification.

Yingxue Zhou, Steven Wu, Arindam Banerjee

International Conference of Learning Representations (ICLR), 2021

• Towards Better Generalization of Adaptive Gradient Descent

Yingxue Zhou, Belhal Karimi, Zhiqiang Xu, Jinxing Yu, Ping Li

Advances in Neural Information Processing Systems (NeurIPS), 2020.

• Hessian Based Analysis of SGD for Deep Nets: Dynamics and Generalization.

Xinyan Li*, Qilong Gu*, Yingxue Zhou*, Tiancong Chen, Arindam Banerjee (*equal contribution)

SIAM International Conference on Data Mining (SDM), 2020.

• Stable Gradient Descent

Yingxue Zhou, Sheng Chen, and Arindam Banerjee

Conference on Uncertainty in Artificial Intelligence (UAI), 2018 [pdf]

• Distributed Private Online Learning for Social Big Data Computing over Data Center Networks

Chencheng Li, Pan Zhou, Yingxue Zhou, Kaigui Bian, Tao Jiang, Susanto Rahardja,

IEEE International Conference on Communications (ICC), 2016

JOURNAL PAPERS

• Differentially Private Online Learning for Cloud-Based Video Recommendation With Multimedia Big Data in Social Networks

Pan Zhou*, Yingxue Zhou*, Dapeng Wu, Hai Jin (*equal contribution)

IEEE transactions on multimedia, 2016

Working Experience

• (Research) Data Scientist Intern, CCL Lab, Baidu Research, Beijing, Summer 2019