An Xu

Orcid: 0000-0001-7480-5010

According to our database1, An Xu authored at least 31 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Distributed Adaptive Optimization with Divisible Communication.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Cross Model Parallelism for Faster Bidirectional Training of Large Convolutional Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Multi-channel Fusion Method Based on Tensor for Rolling Bearing Fault Diagnosis.
Proceedings of the Neural Computing for Advanced Applications, 2022

Ca-Mt: A Self-Ensembling Model for Semi-Supervised Cardiac Segmentation with Elliptical Descriptor Based Contour-Aware.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Detached Error Feedback for Distributed SGD with Random Sparsification.
Proceedings of the International Conference on Machine Learning, 2022

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Coordinating Momenta for Cross-Silo Federated Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Double Momentum SGD for Federated Learning.
CoRR, 2021

Step-Ahead Error Feedback for Distributed Training with Compressed Gradient.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

On the Convergence of Communication-Efficient Local SGD for Federated Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning.
CoRR, 2020

Training Faster with Compressed Gradient.
CoRR, 2020

Exploit Where Optimizer Explores via Residuals.
CoRR, 2020

Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training.
CoRR, 2020

On the Acceleration of Deep Learning Model Parallelism With Staleness.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Diversely Stale Parameters for Efficient Training of CNNs.
CoRR, 2019

Multi-Objective Weapon Target Assignment Based on D-NSGA-III-A.
IEEE Access, 2019

Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

2018
A practical adaptive nonlinear tracking algorithm with range rate measurement.
Int. J. Distributed Sens. Networks, 2018

dbCRSR: a manually curated database for regulation of cancer radiosensitivity.
Database J. Biol. Databases Curation, 2018

A General and Efficient Querying Method for Learning to Hash.
Proceedings of the 2018 International Conference on Management of Data, 2018

Map-based Deep Imitation Learning for Obstacle Avoidance.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

A Wide Residual Network for Sentiment Classification.
Proceedings of the 2018 2nd International Conference on Deep Learning Technologies, 2018

2017
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, 2017

Elastic local breakout strategy and implementation for delay-sensitive packets with local significance.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

2015
An Efficient and Universal Conical Hypervolume Evolutionary Algorithm in Three or Higher Dimensional Objective Space.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

Trajectory Optimization for Cooperative Air Combat Engagement Based on Receding Horizon Control.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

2011
Large Sample Detection and Optimal Distribution Models of Vehicle Brake Performance.
Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011

2010
Prediction of wind-induced pressures on long-span roofs with complex shape using artificial neural networks.
Proceedings of the Sixth International Conference on Natural Computation, 2010


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