Yingxue Zhou

25 papers A* 3A 4Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Learning from LLM Agents: In-Context Generative Models for Text Casing in E-Commerce Ads.
EMNLP (Industry Track)
Yingxue Zhou, Tan Zhu, Tao Zeng, Zigeng Wang, Wei Shen
2025 A conf
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees.
AISTATS
Arindam Banerjee, Qiaobo Li, Yingxue Zhou
2024 J jnl
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees.
CoRR
Arindam Banerjee, Qiaobo Li, Yingxue Zhou
2024 — conf
RecMind: Large Language Model Powered Agent For Recommendation.
NAACL-HLT (Findings)
Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Yanbin Lu, Xiaojiang Huang, Yingzhen Yang
2023 — conf
Improving Contextual Query Rewrite for Conversational AI Agents through User-preference Feedback Learning.
EMNLP (Industry Track)
Zhongkai Sun, Yingxue Zhou, Jie Hao, Xing Fan, Yanbin Lu, Chengyuan Ma, Wei Shen, Chenlei Guo
2023 J jnl
RecMind: Large Language Model Powered Agent For Recommendation.
CoRR
Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Yingzhen Yang
2023 — conf
Unified Contextual Query Rewriting.
ACL (industry)
Yingxue Zhou, Jie Hao, Mukund Rungta, Yang Liu, Eunah Cho, Xing Fan, Yanbin Lu, Vishal Thanvantri Vasudevan, Kellen Gillespie, Zeynab Raeesy
2022 — conf
Analysis and Example Implementation of Data Visualization Technology.
ICMVA
Xianyu Meng, Liangli Ma, Yingxue Zhou
2022 A conf
Noisy Truncated SGD: Optimization and Generalization.
SDM
Yingxue Zhou, Xinyan Li, Arindam Banerjee
2022 — conf
Research on Locking Suspect by Using Mathematical Model.
ICCDE
Xianyu Meng, Liangli Ma, Yingxue Zhou
2022 A* conf
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics.
ICML
Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou
2022 J jnl
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics.
CoRR
Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou
2021 A* conf
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification.
ICLR
Yingxue Zhou, Steven Wu, Arindam Banerjee
2021 J jnl
Noisy Truncated SGD: Optimization and Generalization.
CoRR
Yingxue Zhou, Xinyan Li, Arindam Banerjee
2020 J jnl
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification.
CoRR
Yingxue Zhou, Zhiwei Steven Wu, Arindam Banerjee
2020 J jnl
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors.
CoRR
Arindam Banerjee, Tiancong Chen, Yingxue Zhou
2020 A conf
Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization.
SDM
Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee
2020 J jnl
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds.
CoRR
Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee
2020 A* conf
Towards Better Generalization of Adaptive Gradient Methods.
NeurIPS
Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li
2019 J jnl
Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization.
CoRR
Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee
2018 A conf
Stable Gradient Descent.
UAI
Yingxue Zhou, Sheng Chen, Arindam Banerjee
2016 J jnl
Differentially Private Online Learning for Cloud-Based Video Recommendation With Multimedia Big Data in Social Networks.
IEEE Trans. Multim.
Pan Zhou, Yingxue Zhou, Dapeng Wu, Hai Jin
2016 J jnl
Distributed Private Online Learning for Social Big Data Computing over Data Center Networks.
CoRR
Chencheng Li, Pan Zhou, Yingxue Zhou, Kaigui Bian, Tao Jiang, Susanto Rahardja
2016 — conf
Distributed private online learning for social big data computing over data center networks.
ICC
Chencheng Li, Pan Zhou, Yingxue Zhou, Kaigui Bian, Tao Jiang, Susanto Rahardja
2015 J jnl
Differentially Private Online Learning for Video Recommendation with Social Big Data over Media Cloud.
CoRR
Pan Zhou, Yingxue Zhou, Dapeng Wu, Hai Jin