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Xiangyi Chen
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2020 – today
- 2024
- [j9]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): 4092-4106 (2024) - 2023
- [j8]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): 3212-3229 (2023) - [c16]Xiangyi Chen, Stéphane Lathuilière:
Face Aging via Diffusion-based Editing. BMVC 2023: 595 - [i12]Xiangyi Chen, Stéphane Lathuilière:
Face Aging via Diffusion-based Editing. CoRR abs/2309.11321 (2023) - 2022
- [j7]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): 13126-13143 (2022) - [j6]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): 20096-20110 (2022) - [j5]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): 1238-1243 (2022) - [c15]Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. ACML 2022: 217-232 - [c14]Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi:
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. ICML 2022: 26048-26067 - [c13]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: 2353-2363 - [i11]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 abs/2206.06257 (2022) - 2021
- [j4]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): 5583-5594 (2021) - [i10]Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Jinfeng Yi:
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. CoRR abs/2106.13673 (2021) - [i9]Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. CoRR abs/2109.03194 (2021) - [i8]Xiangyi Chen, Xiaoyun Li, Ping Li:
Toward Communication Efficient Adaptive Gradient Method. CoRR abs/2109.05109 (2021) - 2020
- [c12]Xiangyi Chen, Xiaoyun Li, Ping Li:
Toward Communication Efficient Adaptive Gradient Method. FODS 2020: 119-128 - [c11]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: 6282-6293 - [c10]Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu
, Mingyi Hong:
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms. NeurIPS 2020 - [c9]Xiangyi Chen, Zhiwei Steven Wu
, Mingyi Hong:
Understanding Gradient Clipping in Private SGD: A Geometric Perspective. NeurIPS 2020 - [i7]Yingxue Zhou, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Arindam Banerjee:
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds. CoRR abs/2006.13501 (2020) - [i6]Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong:
Understanding Gradient Clipping in Private SGD: A Geometric Perspective. CoRR abs/2006.15429 (2020)
2010 – 2019
- 2019
- [c8]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: 680-684 - [c7]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 - [c6]Sijia Liu, Pin-Yu Chen, Xiangyi Chen, Mingyi Hong:
signSGD via Zeroth-Order Oracle. ICLR (Poster) 2019 - [c5]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: 7202-7213 - [i5]Xiangyi Chen, Tiancong Chen, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong:
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms. CoRR abs/1906.01736 (2019) - [i4]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 abs/1909.13806 (2019) - [i3]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 abs/1910.06513 (2019) - 2018
- [j3]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): 5438-5453 (2018) - [j2]Mingjie Zhao, Xiangyi Chen, Qingjiang Shi
, WeiQiang Xu:
Joint Transmit Beamforming and Antenna Selection in MIMO Systems. IEEE Wirel. Commun. Lett. 7(5): 716-719 (2018) - [i2]Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong:
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization. CoRR abs/1808.02941 (2018) - 2017
- [c4]Xiangyi Chen, Liangmin Wang:
Secret-Sharing Approach for Detecting Compromised Mobile Sink in Unattended Wireless Sensor Networks. MSN 2017: 303-317 - [c3]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: 1-6 - [i1]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 abs/1705.09412 (2017) - 2013
- [j1]Xiangyi Chen, Lixia Meng, Yong-Zhao Zhan:
Detecting and Defending against Replication Attacks in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013)
2000 – 2009
- 2009
- [c2]Xiangyi Chen, Chen Ding:
Rank Aggregation to Combine QoS in Web Search. APWeb/WAIM 2009: 186-197 - 2008
- [c1]Xiangyi Chen, Chen Ding:
QoS Based Ranking for Web Search. Web Intelligence 2008: 747-750
Coauthor Index
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last updated on 2024-08-27 21:56 CEST by the dblp team
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