Yingxue Zhou

According to our database, Yingxue Zhou authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Loss Gradient Gaussian Width based Generalization and Optimization Guarantees.

Arindam Banerjee, Qiaobo Li, Yingxue Zhou

CoRR, 2024

RecMind: Large Language Model Powered Agent For Recommendation.

Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Yanbin Lu, Xiaojiang Huang, Yingzhen Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

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

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Noisy Truncated SGD: Optimization and Generalization.

Yingxue Zhou, Xinyan Li, Arindam Banerjee

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Analysis and Example Implementation of Data Visualization Technology.

Xianyu Meng, Liangli Ma, Yingxue Zhou

Proceedings of the ICMVA 2022: The 5th International Conference on Machine Vision and Applications, Singapore, February 18, 2022

Stability Based Generalization Bounds for Exponential Family Langevin Dynamics.

Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou

Proceedings of the International Conference on Machine Learning, 2022

Research on Locking Suspect by Using Mathematical Model.

Xianyu Meng, Liangli Ma, Yingxue Zhou

Proceedings of the ICCDE 2022: The 8th International Conference on Computing and Data Engineering, Bangkok, Thailand, January 11, 2022

2021

Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification.

Yingxue Zhou, Steven Wu, Arindam Banerjee

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds.

Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee

CoRR, 2020

De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors.

Arindam Banerjee, Tiancong Chen, Yingxue Zhou

CoRR, 2020

Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization.

Xinyan Li, Qilong Gu, Yingxue Zhou, Tiancong Chen, Arindam Banerjee

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Towards Better Generalization of Adaptive Gradient Methods.

Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Stable Gradient Descent.

Yingxue Zhou, Sheng Chen, Arindam Banerjee

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2016

Differentially Private Online Learning for Cloud-Based Video Recommendation With Multimedia Big Data in Social Networks.

Pan Zhou, Yingxue Zhou, Dapeng Wu, Hai Jin

IEEE Trans. Multim., 2016

Distributed private online learning for social big data computing over data center networks.

Chencheng Li, Pan Zhou, Yingxue Zhou, Kaigui Bian, Tao Jiang, Susanto Rahardja

Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015

Differentially Private Online Learning for Video Recommendation with Social Big Data over Media Cloud.

Pan Zhou, Yingxue Zhou, Dapeng Wu, Hai Jin

CoRR, 2015