Xianfeng Liang

According to our database, Xianfeng Liang authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Communication-efficient federated learning with stagewise training strategy.

Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen

Neural Networks, October, 2023

GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation.

Jiajia Chen, Xin Xin, Xianfeng Liang, Xiangnan He, Jun Liu

IEEE Trans. Knowl. Data Eng., May, 2023

2022

Accelerating local SGD for non-IID data using variance reduction.

Xianfeng Liang, Shuheng Shen, Enhong Chen, Jinchang Liu, Qi Liu, Yifei Cheng, Zhen Pan

Frontiers Comput. Sci., 2022

2021

Magnetoelectric (ME) Antenna for On-chip Implantable Energy Harvesting.

Mehdi Nasrollahpour, Mohsen Zaeimbashi, Adam Khalifa, Xianfeng Liang, Huaihao Chen, Neville Sun, Seyed Mahdi Seyed Abrishami, Isabel Martos-Repath, Shadi Emam, Sydney Cash, Nian Xiang Sun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

A Review of Thin-Film Magnetoelastic Materials for Magnetoelectric Applications.

Xianfeng Liang, Cunzheng Dong, Huaihao Chen, Jiawei Wang, Yuyi Wei, Mohsen Zaeimbashi, Yifan He, Alexei Matyushov, Changxing Sun, Nianxiang Sun

Sensors, 2020

SPAN: A Stochastic Projected Approximate Newton Method.

Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Yue Yu, Lei Li

CoRR, 2020

SPAN: A Stochastic Projected Approximate Newton Method.

Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Variance Reduced Local SGD with Lower Communication Complexity.

Xianfeng Liang, Shuheng Shen, Jingchang Liu, Zhen Pan, Enhong Chen, Yifei Cheng

CoRR, 2019

Long-term Joint Scheduling for Urban Traffic.

Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen

CoRR, 2019

Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent.

Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019