Yifei Song

According to our database, Yifei Song authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

Learning at the Speed of Wireless: Online Real-Time Learning for AI-Enabled MIMO in NextG.

Jiarui Xu, Shashank Jere, Yifei Song, Yi-Hung Kao, Lizhong Zheng, Lingjia Liu

IEEE Commun. Mag., January, 2025

2024

Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning.

Zhuan Shi, Yifei Song, Xiaoli Tang, Lingjuan Lyu, Boi Faltings

CoRR, 2024

Maximum Effective Throughput for Uplink NOMA Systems With Practical Modulations.

Yifei Song, Yuan Wang, Tianying Zhong, Jiaheng Wang, Yuan Yin, Xiqi Gao

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Fast Best Beam Prediction and Overhead Reduction for 6G Networks: A Deep Learning Approach.

Jalal Jalali, Juan Roa, Yifei Song, Renjian Zhao, Baoling Sheen

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Variable Code Size Autoencoder (VCSA) Meets CSI Compression in Model Generalization.

Yifei Song, Juan Roa, Renjian Zhao, Zhigang Rong, Weimin Xiao, Jalal Jalali, Baoling Sheen

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Learning Based CSI Look Up Table: A Novel Vector Quantization Approach for High Accuracy CSI Reconstruction.

Baoling Sheen, Yifei Song, Juan Roa, Zhigang Rong, Renjian Zhao, Weimin Xiao

Proceedings of the IEEE International Conference on Communications, 2024

ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours.

Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access.

Hao-Hsuan Chang, Yifei Song, Thinh T. Doan, Lingjia Liu

IEEE Trans. Wirel. Commun., August, 2023

Impact of geological background on city development.

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

Int. J. Appl. Earth Obs. Geoinformation, April, 2023

Distributed Learning Meets 6G: A Communication and Computing Perspective.

Shashank Jere, Yifei Song, Yang Yi, Lingjia Liu

IEEE Wirel. Commun., February, 2023

2022

Assessment of the Effectiveness of Sand-Control and Desertification in the Mu Us Desert, China.

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

Remote. Sens., 2022

Differential Privacy Meets Federated Learning Under Communication Constraints.

Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu

IEEE Internet Things J., 2022

A deep learning and Grad-Cam-based approach for accurate identification of the fall armyworm (Spodoptera frugiperda) in maize fields.

Haowen Zhang, Shengyuan Zhao, Yifei Song, Shishuai Ge, Dazhong Liu, Xianming Yang, Kongming Wu

Comput. Electron. Agric., 2022

Federated Dynamic Spectrum Access through Multi-Agent Deep Reinforcement Learning.

Yifei Song, Hao-Hsuan Chang, Lingjia Liu

Proceedings of the IEEE Global Communications Conference, 2022

2021

Federated Dynamic Spectrum Access.

Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu

CoRR, 2021

Deep Learning-Based COVID-19 Twitter Analysis.

Yifei Song, Xinran Wang, Yanxia Jia

Proceedings of the ICBDC 2021: 6th International Conference on Big Data and Computing, Shenzhen, China, May 22, 2021