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An Xu
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2020 – today
- 2024
- [i10]Yanyue Xie, Zhi Zhang, Ding Zhou, Cong Xie, Ziang Song, Xin Liu, Yanzhi Wang, Xue Lin, An Xu:
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router. CoRR abs/2410.12013 (2024) - 2023
- [c19]An Xu, Yang Bai:
Cross Model Parallelism for Faster Bidirectional Training of Large Convolutional Neural Networks. ECML/PKDD (3) 2023: 637-653 - [c18]An Xu, Yang Bai:
Distributed Adaptive Optimization with Divisible Communication. ECML/PKDD (3) 2023: 654-670 - 2022
- [j6]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6103-6115 (2022) - [c17]An Xu, Heng Huang:
Coordinating Momenta for Cross-Silo Federated Learning. AAAI 2022: 8735-8743 - [c16]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR 2022: 20834-20843 - [c15]Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) 2022: 437-455 - [c14]An Xu, Heng Huang:
Detached Error Feedback for Distributed SGD with Random Sparsification. ICML 2022: 24550-24575 - [c13]An Xu, Shaoyu Wang, Shaoping Ye, Jingyi Fan, Xiujin Shi, Xiaoling Xia:
Ca-Mt: A Self-Ensembling Model for Semi-Supervised Cardiac Segmentation with Elliptical Descriptor Based Contour-Aware. ISBI 2022: 1-5 - [c12]Huiming Jiang, Song Li, Yunfei Shao, An Xu, Jing Yuan, Qian Zhao:
A Multi-channel Fusion Method Based on Tensor for Rolling Bearing Fault Diagnosis. NCAA (2) 2022: 123-137 - [i9]Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR abs/2203.06338 (2022) - [i8]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR abs/2203.10144 (2022) - 2021
- [c11]Hongchang Gao, An Xu, Heng Huang:
On the Convergence of Communication-Efficient Local SGD for Federated Learning. AAAI 2021: 7510-7518 - [c10]An Xu, Zhouyuan Huo, Heng Huang:
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. AAAI 2021: 10478-10486 - [i7]An Xu, Heng Huang:
Double Momentum SGD for Federated Learning. CoRR abs/2102.03970 (2021) - 2020
- [c9]An Xu, Zhouyuan Huo, Heng Huang:
On the Acceleration of Deep Learning Model Parallelism With Staleness. CVPR 2020: 2085-2094 - [i6]An Xu, Zhouyuan Huo, Heng Huang:
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training. CoRR abs/2002.11082 (2020) - [i5]An Xu, Zhouyuan Huo, Heng Huang:
Exploit Where Optimizer Explores via Residuals. CoRR abs/2004.05298 (2020) - [i4]An Xu, Zhouyuan Huo, Heng Huang:
Training Faster with Compressed Gradient. CoRR abs/2008.05823 (2020) - [i3]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. CoRR abs/2008.06233 (2020)
2010 – 2019
- 2019
- [j5]Chunqing Gao, Yingxin Kou, You Li, Zhanwu Li, An Xu:
Multi-Objective Weapon Target Assignment Based on D-NSGA-III-A. IEEE Access 7: 50240-50254 (2019) - [c8]Yuzhen Huang, Xiao Yan, Guanxian Jiang, Tatiana Jin, James Cheng, An Xu, Zhanhao Liu, Shuo Tu:
Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics. USENIX ATC 2019: 191-206 - [i2]An Xu, Zhouyuan Huo, Heng Huang:
Diversely Stale Parameters for Efficient Training of CNNs. CoRR abs/1909.02625 (2019) - 2018
- [j4]Pengbo Wen, Junfeng Xia, Xianbin Cao, Bin Chen, Yinping Tao, Lijun Wu, An Xu, Guoping Zhao:
dbCRSR: a manually curated database for regulation of cancer radiosensitivity. Database J. Biol. Databases Curation 2018: bay049 (2018) - [j3]Haiyan Yang, Hongqiang Liu, Zhongliang Zhou, An Xu:
A practical adaptive nonlinear tracking algorithm with range rate measurement. Int. J. Distributed Sens. Networks 14(5) (2018) - [c7]Yang Wen, An Xu, Wei Liu, Leiting Chen:
A Wide Residual Network for Sentiment Classification. ICDLT 2018: 7-11 - [c6]Yuejiang Liu, An Xu, Zichong Chen:
Map-based Deep Imitation Learning for Obstacle Avoidance. IROS 2018: 8644-8649 - [c5]Jinfeng Li, Xiao Yan, Jie Zhang, An Xu, James Cheng, Jie Liu, Kelvin Kai Wing Ng, Ti-Chung Cheng:
A General and Efficient Querying Method for Learning to Hash. SIGMOD Conference 2018: 1333-1347 - 2017
- [j2]Jianrui Xu, Zhanwu Li, An Xu:
小样本贝叶斯网络结构学习的KDE-CGA算法 (KDE-CGA Algorithm of Structure Learning for Small Sample Data Bayesian Network). 计算机科学 44(Z11): 437-441 (2017) - [c4]Yongkang Li, Zhiyuan Jiang, An Xu, Sheng Zhou, Zhisheng Niu:
Elastic local breakout strategy and implementation for delay-sensitive packets with local significance. WCSP 2017: 1-6 - [i1]Yongkang Li, Zhiyuan Jiang, An Xu, Sheng Zhou, Zhisheng Niu:
Elastic Local Breakout Strategy and Implementation for Delay-Sensitive Packets with Local Significance. CoRR abs/1708.06876 (2017) - 2015
- [j1]Weiqin Ying, Yuehong Xie, Xing Xu, Yu Wu, An Xu, Zhenyu Wang:
An Efficient and Universal Conical Hypervolume Evolutionary Algorithm in Three or Higher Dimensional Objective Space. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(11): 2330-2335 (2015) - [c3]Chengwei Ruan, Lei Yu, Zhongliang Zhou, An Xu:
Trajectory Optimization for Cooperative Air Combat Engagement Based on Receding Horizon Control. IScIDE (2) 2015: 454-466 - 2011
- [c2]Xiangming Qiao, An Xu, Shengtian Liu, Changli Zhao, Henghai Zhang:
Large Sample Detection and Optimal Distribution Models of Vehicle Brake Performance. ICDMA 2011: 686-688 - 2010
- [c1]An Xu, Ruohong Zhao:
Prediction of wind-induced pressures on long-span roofs with complex shape using artificial neural networks. ICNC 2010: 1297-1304
Coauthor Index
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last updated on 2024-11-25 23:42 CET by the dblp team
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