| 2021 | AISTATS | Generalization Bounds for Stochastic Saddle Point Problems. | Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang |
| 2019 | COLT | An Optimal High-Order Tensor Method for Convex Optimization. | Bo Jiang, Haoyue Wang, Shuzhong Zhang |
| 2019 | COLT | Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. | Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, Csar A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sbastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford |
| 2018 | AISTATS | Online Learning with Non-Convex Losses and Non-Stationary Regret. | Xiand Gao, Xiaobo Li, Shuzhong Zhang |
| 2015 | IJCAI | Convergence of Common Proximal Methods for L1-Regularized Least Squares. | Shaozhe Tao, Daniel Boley, Shuzhong Zhang |
| 2012 | ICASSP | Lorentz-positive mapswith applications to robust MISO downlink beamforming. | Yongwei Huang, Daniel P. Palomar, Shuzhong Zhang |
| 2011 | ICASSP | Robust secondary multicast transmit beamforming for cognitive radio networks under imperfect channel state information. | Yongwei Huang, Qiang Li, Wing-Kin Ma, Shuzhong Zhang |
| 2005 | ISIT | Optimal linear decentralized estimation in a bandwidth constrained sensor network. | Zhi-Quan Luo, Georgios B. Giannakis, Shuzhong Zhang |