Xiangyi Chen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 34

Top Topics

Generalization Bounds

Resource Management

Top Venues

IEEE Internet Things J.

Publications

Tianao Xiang, Yuanguo Bi, Xiangyi Chen, Yuan Liu, Boyang Wang, Xuemin Shen, Xingwei Wang
Federated Learning With Dynamic Epoch Adjustment and Collaborative Training in Mobile Edge Computing. IEEE Trans. Mob. Comput. 23 (5) (2024)
Xiangyi Chen, Stéphane Lathuilière
Face Aging via Diffusion-based Editing. CoRR (2023)
Xiangyi Chen, Stéphane Lathuilière
Face Aging via Diffusion-based Editing. BMVC (2023)
Xiangyi Chen, Guangjie Han, Yuanguo Bi, Zimeng Yuan, Mahesh K. Marina, Yufei Liu, Hai Zhao
Traffic Prediction-Assisted Federated Deep Reinforcement Learning for Service Migration in Digital Twins-Enabled MEC Networks. IEEE J. Sel. Areas Commun. 41 (10) (2023)
Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. ICML (2022)
Xiangyi Chen, Yuanguo Bi, Xueping Chen, Hai Zhao, Nan Cheng, Fuliang Li, Wenlin Cheng
Dynamic Service Migration and Request Routing for Microservice in Multicell Mobile-Edge Computing. IEEE Internet Things J. 9 (15) (2022)
Xiangyi Chen, Yuanguo Bi, Guangjie Han, Dongyu Zhang, Minghan Liu, Han Shi, Hai Zhao, Fengyun Li
Distributed Computation Offloading and Trajectory Optimization in Multi-UAV-Enabled Edge Computing. IEEE Internet Things J. 9 (20) (2022)
Deyu Yan, Genhui Zheng, Caicui Wang, Zikun Chen, Tiantian Mao, Jian Gao, Yu Yan, Xiangyi Chen, Xuejie Ji, Jinyu Yu, Saifeng Mo, Haonan Wen, Wenhao Han, Mengdi Zhou, Yuan Wang, Jun Wang, Kailin Tang, Zhiwei Cao
HIT 2.0: an enhanced platform for Herbal Ingredients' Targets. Nucleic Acids Res. 50 (D1) (2022)
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale. CoRR (2022)
Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
On the Convergence of Decentralized Adaptive Gradient Methods. ACML (2022)
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
Distributed adversarial training to robustify deep neural networks at scale. UAI (2022)
Xiangyi Chen, Xingwei Wang, Bo Yi, Qiang He, Min Huang
Deep Learning-Based Traffic Prediction for Energy Efficiency Optimization in Software-Defined Networking. IEEE Syst. J. 15 (4) (2021)
Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
On the Convergence of Decentralized Adaptive Gradient Methods. CoRR (2021)
Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Jinfeng Yi
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. CoRR (2021)
Xiangyi Chen, Xiaoyun Li, Ping Li
Toward Communication Efficient Adaptive Gradient Method. CoRR (2021)
Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. ICML (2020)
Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds. CoRR (2020)
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong
Understanding Gradient Clipping in Private SGD: A Geometric Perspective. NeurIPS (2020)
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong
Understanding Gradient Clipping in Private SGD: A Geometric Perspective. CoRR (2020)
Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms. NeurIPS (2020)
Xiangyi Chen, Xiaoyun Li, Ping Li
Toward Communication Efficient Adaptive Gradient Method. FODS (2020)
Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, Mingyi Hong
Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs. ACSSC (2019)
Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms. CoRR (2019)
Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. NeurIPS (2019)
Sijia Liu, Pin-Yu Chen, Xiangyi Chen, Mingyi Hong
signSGD via Zeroth-Order Oracle. ICLR (Poster) (2019)
Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. CoRR (2019)
Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization. ICLR (Poster) (2019)
Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML. CoRR (2019)
Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nicholas D. Sidiropoulos
Learning to Optimize: Training Deep Neural Networks for Interference Management. IEEE Trans. Signal Process. 66 (20) (2018)
Mingjie Zhao, Xiangyi Chen, Qingjiang Shi, WeiQiang Xu
Joint Transmit Beamforming and Antenna Selection in MIMO Systems. IEEE Wirel. Commun. Lett. 7 (5) (2018)
Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization. CoRR (2018)
Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nikos D. Sidiropoulos
Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management. CoRR (2017)
Haoran Sun, Xiangyi Chen, Qingjiang Shi, Mingyi Hong, Xiao Fu, Nikos D. Sidiropoulos
Learning to optimize: Training deep neural networks for wireless resource management. SPAWC (2017)
Xiangyi Chen, Liangmin Wang
Secret-Sharing Approach for Detecting Compromised Mobile Sink in Unattended Wireless Sensor Networks. MSN (2017)
Xiangyi Chen, Lixia Meng, Yong-Zhao Zhan
Detecting and Defending against Replication Attacks in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013)
Xiangyi Chen, Chen Ding
Rank Aggregation to Combine QoS in Web Search. APWeb/WAIM (2009)
Xiangyi Chen, Chen Ding
QoS Based Ranking for Web Search. Web Intelligence (2008)