Chen, Xiangyi

10 publications

IJCAI 2025 DiffFERV: Diffusion-Based Facial Editing of Real Videos Xiangyi Chen, Han Xue, Li Song

UAI 2022 Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu

ACML 2022 On the Convergence of Decentralized Adaptive Gradient Methods Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li

ICML 2022 Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi

NeurIPS 2020 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms Xiangyi Chen, Tiancong Chen, Haoran Sun, Steven Z. Wu, Mingyi Hong

ICML 2020 Min-Max Optimization Without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O’Reilly

NeurIPS 2020 Understanding Gradient Clipping in Private SGD: A Geometric Perspective Xiangyi Chen, Steven Z. Wu, Mingyi Hong

ICLR 2019 On the Convergence of a Class of Adam-Type Algorithms for Non-Convex Optimization Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong

NeurIPS 2019 ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David Cox

ICLR 2019 signSGD via Zeroth-Order Oracle Sijia Liu, Pin-Yu Chen, Xiangyi Chen, Mingyi Hong