Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible. - Kai Zheng 007; Wenlong Mou; Liwei Wang 001 (ICML, 2017)

Efficient Private ERM for Smooth Objectives. - Jiaqi Zhang; Kai Zheng 007; Wenlong Mou; Liwei Wang 001 (IJCAI, 2017)

Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. - Wenlong Mou; Liwei Wang 001; Xiyu Zhai; Kai Zheng 007 (COLT, 2018)

Equipping Experts/Bandits with Long-term Memory. - Kai Zheng 007; Haipeng Luo; Ilias Diakonikolas; Liwei Wang 001 (NeurIPS, 2019)

(Locally) Differentially Private Combinatorial Semi-Bandits. - Xiaoyu Chen 008; Kai Zheng 007; Zixin Zhou; Yunchang Yang; Wei Chen 034; Liwei Wang 001 (ICML, 2020)

On Layer Normalization in the Transformer Architecture. - Ruibin Xiong; Yunchang Yang; Di He 001; Kai Zheng 007; Shuxin Zheng; Chen Xing; Huishuai Zhang; Yanyan Lan; Liwei Wang 001; Tie-Yan Liu (ICML, 2020)

Locally Differentially Private (Contextual) Bandits Learning. - Kai Zheng 007; Tianle Cai; Weiran Huang 001; Zhenguo Li; Liwei Wang 001 (NeurIPS, 2020)

Combinatorial Semi-Bandit in the Non-Stationary Environment. - Wei Chen 034; Liwei Wang 001; Haoyu Zhao; Kai Zheng 007 (CoRR, 2020)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 007; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (ICLR, 2025)