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2020 – today
- 2024
[c6]Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch:
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. DAC 2024: 265:1-265:6- [c5]Baoling Sheen, Yifei Song
, Juan Roa, Zhigang Rong, Renjian Zhao, Weimin Xiao:
Learning Based CSI Look Up Table: A Novel Vector Quantization Approach for High Accuracy CSI Reconstruction. ICC 2024: 2561-2566 - [c4]Yifei Song, Juan Roa, Renjian Zhao, Zhigang Rong, Weimin Xiao, Jalal Jalali, Baoling Sheen:
Variable Code Size Autoencoder (VCSA) Meets CSI Compression in Model Generalization. ICNC 2024: 209-214 - [c3]Jalal Jalali, Juan Roa, Yifei Song, Renjian Zhao, Baoling Sheen:
Fast Best Beam Prediction and Overhead Reduction for 6G Networks: A Deep Learning Approach. VTC Spring 2024: 1-6 - [i5]Jiarui Xu, Shashank Jere, Yifei Song, Yi-Hung Kao, Lizhong Zheng, Lingjia Liu:
Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG. CoRR abs/2403.02651 (2024) - [i4]Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch:
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. CoRR abs/2404.11068 (2024) - 2023
- [j6]Ming Zhang, Weicheng Wu, Taiyang Guan, Ziyu Lin, Fusheng Guo, Xiaoting Zhou, Yixuan Liu, Jingheng Jiang, Jie Li, Xiao Fu, Yecheng He, Yifei Song, Xinxin Ke, Yuan Li, Wenjing Li, Cuimin Zhou, Yaozu Qin, Minqiang Zhu:
Impact of geological background on city development. Int. J. Appl. Earth Obs. Geoinformation 118: 103243 (2023) - [j5]Hao-Hsuan Chang, Yifei Song, Thinh T. Doan, Lingjia Liu:
Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access. IEEE Trans. Wirel. Commun. 22(8): 5337-5348 (2023) - [j4]Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu:
Distributed Learning Meets 6G: A Communication and Computing Perspective. IEEE Wirel. Commun. 30(1): 112-117 (2023) - [i3]Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu:
Distributed Learning Meets 6G: A Communication and Computing Perspective. CoRR abs/2303.12802 (2023) - 2022
- [j3]Haowen Zhang, Shengyuan Zhao, Yifei Song, Shishuai Ge, Dazhong Liu, Xianming Yang, Kongming Wu:
A deep learning and Grad-Cam-based approach for accurate identification of the fall armyworm (Spodoptera frugiperda) in maize fields. Comput. Electron. Agric. 202: 107440 (2022) - [j2]Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu:
Differential Privacy Meets Federated Learning Under Communication Constraints. IEEE Internet Things J. 9(22): 22204-22219 (2022) - [j1]Jie Li, Weicheng Wu, Xiao Fu, Jingheng Jiang, Yixuan Liu, Ming Zhang, Xiaoting Zhou, Xinxin Ke, Yecheng He, Wenjing Li, Cuimin Zhou, Yuan Li, Yifei Song, Hongli Yang, Qihong Tu:
Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China. Remote. Sens. 14(4): 837 (2022) - [c2]Yifei Song, Hao-Hsuan Chang, Lingjia Liu:
Federated Dynamic Spectrum Access through Multi-Agent Deep Reinforcement Learning. GLOBECOM 2022: 3466-3471 - 2021
- [c1]Yifei Song, Xinran Wang, Yanxia Jia:
Deep Learning-Based COVID-19 Twitter Analysis. ICBDC 2021: 8-14 - [i2]Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu:
Differential Privacy Meets Federated Learning under Communication Constraints. CoRR abs/2101.12240 (2021) - [i1]Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu:
Federated Dynamic Spectrum Access. CoRR abs/2106.14976 (2021)
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