Differentially Private Online Learning for Video Recommendation with Social Big Data over Media Cloud. - Pan Zhou 001; Yingxue Zhou; Dapeng Wu 001; Hai Jin 001 (CoRR, 2015)

Distributed private online learning for social big data computing over data center networks. - Chencheng Li; Pan Zhou 001; Yingxue Zhou; Kaigui Bian; Tao Jiang 002; Susanto Rahardja (ICC, 2016)

Differentially Private Online Learning for Cloud-Based Video Recommendation With Multimedia Big Data in Social Networks. - Pan Zhou 001; Yingxue Zhou; Dapeng Wu 001; Hai Jin 001 (IEEE Trans. Multim., 2016)

Stable Gradient Descent. - Yingxue Zhou; Sheng Chen 014; Arindam Banerjee 001 (UAI, 2018)

Towards Better Generalization of Adaptive Gradient Methods. - Yingxue Zhou; Belhal Karimi; Jinxing Yu; Zhiqiang Xu; Ping Li 001 (NeurIPS, 2020)

Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization. - Xinyan Li; Qilong Gu; Yingxue Zhou; Tiancong Chen; Arindam Banerjee 001 (SDM, 2020)

De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors. - Arindam Banerjee 001; Tiancong Chen; Yingxue Zhou (CoRR, 2020)

Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds. - Yingxue Zhou; Xiangyi Chen; Mingyi Hong 001; Zhiwei Steven Wu; Arindam Banerjee 001 (CoRR, 2020)

Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification. - Yingxue Zhou; Steven Wu 001; Arindam Banerjee 001 (ICLR, 2021)

Research on Locking Suspect by Using Mathematical Model. - Xianyu Meng; Liangli Ma; Yingxue Zhou (ICCDE, 2022)

Stability Based Generalization Bounds for Exponential Family Langevin Dynamics. - Arindam Banerjee 001; Tiancong Chen; Xinyan Li; Yingxue Zhou (ICML, 2022)

Analysis and Example Implementation of Data Visualization Technology. - Xianyu Meng; Liangli Ma; Yingxue Zhou (ICMVA, 2022)

Noisy Truncated SGD: Optimization and Generalization. - Yingxue Zhou; Xinyan Li; Arindam Banerjee 001 (SDM, 2022)

Unified Contextual Query Rewriting. - Yingxue Zhou; Jie Hao; Mukund Rungta; Yang Liu; Eunah Cho; Xing Fan; Yanbin Lu; Vishal Thanvantri Vasudevan; Kellen Gillespie; Zeynab Raeesy (ACL (industry), 2023)

Improving Contextual Query Rewrite for Conversational AI Agents through User-preference Feedback Learning. - Zhongkai Sun; Yingxue Zhou; Jie Hao; Xing Fan; Yanbin Lu; Chengyuan Ma; Wei Shen; Chenlei Guo (EMNLP (Industry Track), 2023)

RecMind: Large Language Model Powered Agent For Recommendation. - Yancheng Wang; Ziyan Jiang; Zheng Chen 010; Fan Yang; Yingxue Zhou; Eunah Cho; Xing Fan; Yanbin Lu; Xiaojiang Huang; Yingzhen Yang (NAACL-HLT (Findings), 2024)

Loss Gradient Gaussian Width based Generalization and Optimization Guarantees. - Arindam Banerjee 001; Qiaobo Li; Yingxue Zhou (AISTATS, 2025)