Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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preprints
FedCM: Federated Learning with Client-level Momentum
Jing Xu, Sen Wang, Liwei Wang, Andrew C Yao
publications
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
Published in ICML, 2023
Lesi Chen, Jing Xu, Luo Luo
Quantifying the Variability Collapse of Neural Networks
Published in ICML, 2023
Jing Xu*, Haoxiong Liu*
Towards Data-Algorithm Dependent Generalization Analysis: a Case Study on Overparameterized Linear Regression
Published in Neurips, 2023
Jing Xu*, Jiaye Teng*, Yang Yuan, Andrew C Yao
On Bilevel Optimization without Lower-level Strong Convexity
Published in COLT, 2024
Lesi Chen*, Jing Xu*, JingZhao Zhang
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Published in ICML, 2024
Jing Xu, Jingzhao Zhang
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems
Published in Neurips, 2024
Huaqing Zhang*, Lesi Chen*, Jing Xu, Jingzhao Zhang
Scalable Model Merging with Progressive Layer-wise Distillation
Published in ICML, 2025
Jing Xu, Jiazheng Li, Jingzhao Zhang
Understanding Nonlinear Implicit Bias via Region Counts in Input Space
Published in ICML, 2025
Jingwei Li*, Jing Xu*, Zifan Wang, Huishuai Zhang, Jingzhao Zhang
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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