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Xianfeng Liang
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2020 – today
- 2023
- [j4]Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen:
Communication-efficient federated learning with stagewise training strategy. Neural Networks 167: 460-472 (2023) - [j3]Jiajia Chen, Xin Xin, Xianfeng Liang, Xiangnan He, Jun Liu:
GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4813-4824 (2023) - 2022
- [j2]Xianfeng Liang, Shuheng Shen, Enhong Chen, Jinchang Liu, Qi Liu, Yifei Cheng, Zhen Pan:
Accelerating local SGD for non-IID data using variance reduction. Frontiers Comput. Sci. 17(2): 172311 (2022) - [i5]Jiajia Chen, Xin Xin, Xianfeng Liang, Xiangnan He, Jun Liu:
GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation. CoRR abs/2205.09948 (2022) - 2021
- [c3]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:
Magnetoelectric (ME) Antenna for On-chip Implantable Energy Harvesting. EMBC 2021: 6167-6170 - 2020
- [j1]Xianfeng Liang, Cunzheng Dong, Huaihao Chen, Jiawei Wang, Yuyi Wei, Mohsen Zaeimbashi, Yifan He, Alexei Matyushov, Changxing Sun, Nianxiang Sun:
A Review of Thin-Film Magnetoelastic Materials for Magnetoelectric Applications. Sensors 20(5): 1532 (2020) - [c2]Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li:
SPAN: A Stochastic Projected Approximate Newton Method. AAAI 2020: 1520-1527 - [i4]Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Yue Yu, Lei Li:
SPAN: A Stochastic Projected Approximate Newton Method. CoRR abs/2002.03687 (2020)
2010 – 2019
- 2019
- [c1]Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng:
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. IJCAI 2019: 4582-4589 - [i3]Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng:
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. CoRR abs/1906.12043 (2019) - [i2]Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen:
Long-term Joint Scheduling for Urban Traffic. CoRR abs/1910.12283 (2019) - [i1]Xianfeng Liang, Shuheng Shen, Jingchang Liu, Zhen Pan, Enhong Chen, Yifei Cheng:
Variance Reduced Local SGD with Lower Communication Complexity. CoRR abs/1912.12844 (2019)
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