COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing. - Rui Chen 026; Liang Li; Jeffrey Jiarui Chen; Ronghui Hou; Yanmin Gong 001; Yuanxiong Guo; Miao Pan (GLOBECOM, 2020)

Data-Driven Optimization for Resource Provision in Non-Cooperative Edge Computing Market. - Rui Chen 026; Liang Li; Ronghui Hou; Tingting Yang 001; Li Wang 039; Miao Pan (ICC, 2020)

Data-Driven Small Cell Planning for Traffic Offloading with Users' Differential Privacy. - Rui Chen 026; Xinyue Zhang 001; Jingyi Wang 002; Qimei Cui; Wenjun Xu 001; Miao Pan (ICC, 2020)

To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design. - Rui Chen 026; Liang Li; Kaiping Xue; Chi Zhang 001; Lingjia Liu 001; Miao Pan (CoRR, 2020)

Energy-Efficient Proactive Caching for Adaptive Video Streaming via Data-Driven Optimization. - Liang Li; Dian Shi; Ronghui Hou; Rui Chen 026; Bin Lin 001; Miao Pan (IEEE Internet Things J., 2020)

A Privacy Preserving Federated Learning Framework for COVID-19 Vulnerability Map Construction. - Jeffrey Jiarui Chen; Rui Chen 026; Xinyue Zhang 001; Miao Pan (ICC, 2021)

Towards Energy Efficient Federated Learning over 5G+ Mobile Devices. - Dian Shi; Liang Li; Rui Chen 026; Pavana Prakash; Miao Pan; Yuguang Fang (CoRR, 2021)

Energy Efficient Federated Learning over Cooperative Relay-Assisted Wireless Networks. - Xinyue Zhang 001; Rui Chen 026; Jingyi Wang 002; Huaqing Zhang; Miao Pan (GLOBECOM, 2022)

Constructing Mobile Crowdsourced COVID-19 Vulnerability Map With Geo-Indistinguishability. - Rui Chen 026; Liang Li; Ying Ma; Yanmin Gong 001; Yuanxiong Guo; Tomoaki Ohtsuki; Miao Pan (IEEE Internet Things J., 2022)

IoT Device Friendly and Communication-Efficient Federated Learning via Joint Model Pruning and Quantization. - Pavana Prakash; Jiahao Ding; Rui Chen 026; Xiaoqi Qin; Minglei Shu; Qimei Cui; Yuanxiong Guo; Miao Pan (IEEE Internet Things J., 2022)

Toward Energy-Efficient Federated Learning Over 5G+ Mobile Devices. - Dian Shi; Liang Li; Rui Chen 026; Pavana Prakash; Miao Pan; Yuguang Fang (IEEE Wirel. Commun., 2022)

DAFL: Delay Efficient Federated Learning over Mobile Devices via Device-to-Device Transmissions. - Huai-an Su; Pavana Prakash; Rui Chen 026; Yanmin Gong 001; Rong Yu 001; Xin Fu; Miao Pan (GLOBECOM, 2023)

Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization. - Rui Chen 026; Qiyu Wan; Pavana Prakash; Lan Zhang 005; Xu Yuan 001; Yanmin Gong 001; Xin Fu; Miao Pan (ICCV, 2023)

EEFL: High-Speed Wireless Communications Inspired Energy Efficient Federated Learning over Mobile Devices. - Rui Chen 026; Qiyu Wan; Xinyue Zhang 001; Xiaoqi Qin; Yanzhao Hou; Di Wang 015; Xin Fu; Miao Pan (MobiSys, 2023)

Service Delay Minimization for Federated Learning Over Mobile Devices. - Rui Chen 026; Dian Shi; Xiaoqi Qin; Dongjie Liu; Miao Pan; Shuguang Cui (IEEE J. Sel. Areas Commun., 2023)

Energy Efficient Federated Learning Over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission. - Rui Chen 026; Liang Li; Kaiping Xue; Chi Zhang 001; Miao Pan; Yuguang Fang (IEEE Trans. Mob. Comput., 2023)

Energy Efficient and Differentially Private Federated Learning via a Piggyback Approach. - Rui Chen 026; Chenpei Huang; Xiaoqi Qin; Nan Ma; Miao Pan; Xuemin Shen (IEEE Trans. Mob. Comput., 2024)

REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning Over Mobile Devices. - Yixuan Li; Xiaoqi Qin; Jiaxiang Geng; Rui Chen 026; Yanzhao Hou; Yanmin Gong 001; Miao Pan; Ping Zhang 003 (IEEE Trans. Mob. Comput., 2024)

THOR: A Generic Energy Estimation Approach for On-Device Training. - Jiaru Zhang; Zesong Wang; Hao Wang 022; Tao Song 003; Huai-an Su; Rui Chen 026; Yang Hua 001; Xiangwei Zhou; Ruhui Ma; Miao Pan; Haibing Guan (CoRR, 2025)

DAFL: Device-to-Device Transmissions for Delay-Efficient Federated Learning Over Mobile Devices. - Huai-An Su; Pavana Prakash; Rui Chen 026; Yanmin Gong 001; Rong Yu 001; Xin Fu; Miao Pan (IEEE Internet Things J., 2025)