Multivariate Distributionally Robust Convex Regression under Absolute Error Loss. - Jose H. Blanchet; Peter W. Glynn; Jun Yan; Zhengqing Zhou (NeurIPS, 2019)

Batched Multi-armed Bandits Problem. - Zijun Gao; Yanjun Han; Zhimei Ren; Zhengqing Zhou (NeurIPS, 2019)

Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols. - Yanjun Han; Kedar Tatwawadi; Zhengqing Zhou; Gowtham R. Kurri; Vinod M. Prabhakaran; Tsachy Weissman (CoRR, 2019)

Sequential Batch Learning in Finite-Action Linear Contextual Bandits. - Yanjun Han; Zhengqing Zhou; Zhengyuan Zhou; Jose H. Blanchet; Peter W. Glynn; Yinyu Ye 001 (CoRR, 2020)

Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning. - Zhengqing Zhou; Qinxun Bai; Zhengyuan Zhou; Linhai Qiu; Jose H. Blanchet; Peter W. Glynn (AISTATS, 2021)

Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. - Yanjun Han; Kedar Tatwawadi; Gowtham R. Kurri; Zhengqing Zhou; Vinod M. Prabhakaran; Tsachy Weissman (IEEE Trans. Inf. Theory, 2021)

Distributionally Robust Q-Learning. - Zijian Liu 003; Qinxun Bai; Jose H. Blanchet; Perry Dong; Wei Xu 017; Zhengqing Zhou; Zhengyuan Zhou (ICML, 2022)

Surface Defect Detection Based on ResNet Classification Network with GAN Optimized. - Hanbo Fu; Zhengqing Zhou; Zeng Zeng; Tong Sang; Yaxin Zhu; Xiaoyan Zheng (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Improved Semantic Segmentation Adversarial Networks Applied to Industrial Production Datasets. - Zhengqing Zhou; Xiaoyan Zheng; Qing Han; Wei Zhao 035; Tong Sang; Zeng Zeng (CIS-RAM, 2023)

Dynamical modelling of viral infection and cooperative immune protection in COVID-19 patients. - Zhengqing Zhou; Dianjie Li; Ziheng Zhao; Shuyu Shi; Jianghua Wu; Jianwei Li; Jingpeng Zhang; Ke Gui; Yu Zhang; Qi Ouyang; Heng Mei; Yu Hu; et al. (PLoS Comput. Biol., 2023)