Xidong Wu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Compressive Sensing

Stochastic Optimization

Top Venues

Publications

Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. CoRR (2024)
Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang
On the Role of Server Momentum in Federated Learning. AAAI (2024)
Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
Unbiased Watermark for Large Language Models. ICLR (2024)
Feihu Huang, Xidong Wu, Zhengmian Hu
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization. AISTATS (2023)
Xidong Wu, Zhengmian Hu, Heng Huang
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. AAAI (2023)
Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD (2023)
Xidong Wu, Zhengmian Hu, Heng Huang
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems. CoRR (2023)
Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang
Federated Conditional Stochastic Optimization. NeurIPS (2023)
Xidong Wu, Wan-Yi Lin, Devin Willmott, Filipe Condessa, Yufei Huang, Zhenzhen Li, Madan Ravi Ganesh
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning. CoRR (2023)
Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang
On the Role of Server Momentum in Federated Learning. CoRR (2023)
Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. CoRR (2023)
Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. NeurIPS (2023)
Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
Unbiased Watermark for Large Language Models. CoRR (2023)
Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang
Faster Adaptive Federated Learning. AAAI (2023)
Zhengmian Hu, Xidong Wu, Heng Huang
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization. ICML (2023)
Xidong Wu, Preston Brazzle, Stephen Cahoon
Performance and Energy Consumption of Parallel Machine Learning Algorithms. CoRR (2023)
Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. CoRR (2023)
Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang
Federated Conditional Stochastic Optimization. CoRR (2023)
Xidong Wu, Feihu Huang, Heng Huang
Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. ICDM (2022)
Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization. IJCAI (2022)
Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang
Faster Adaptive Federated Learning. CoRR (2022)
Runxue Bao, Xidong Wu, Wenhan Xian, Heng Huang
Distributed Dynamic Safe Screening Algorithms for Sparse Regularization. CoRR (2022)
Feihu Huang, Xidong Wu, Heng Huang
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems. NeurIPS (2021)
Chengwei Zhou, Yujie Gu, Yimin D. Zhang, Zhiguo Shi, Tao Jin, Xidong Wu
Compressive sensing-based coprime array direction-of-arrival estimation. IET Commun. 11 (11) (2017)
Xidong Wu, Zhengye Liu, Yali Liu, Menglin Liu, Charlie Chen-Yui Yang, Jin Wang
QoS Monitoring and Troubleshooting of a Large Scale IPTV Deployment. CyberC (2011)
Yali Liu, Zhengye Liu, Xidong Wu, Jin Wang, Charlie Chen-Yui Yang
IPTV System Design: An ISP's Perspective. CyberC (2011)