Low complexity and quasi-linear phase IIR filters design based on iterative convex optimization. - Jinghong Tan; Jiajia Chen 002 (APCCAS, 2016)

Robust Optimization for Energy Efficiency in Multicast Downlink C-RAN. - Jinghong Tan; Tony Q. S. Quek; Qi He 004 (WCNC, 2017)

A New Cost-Aware Sensitivity-Driven Algorithm for the Design of FIR Filters. - Jiajia Chen 002; Jinghong Tan; Chip-Hong Chang; Feng Feng (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Minimum Energy Resource Allocation in FOG Radio Access Network with Fronthaul and Latency Constraints. - Jinghong Tan; Tsung-Hui Chang; Tony Q. S. Quek (SPAWC, 2018)

Robust Energy Efficiency Maximization in Multicast Downlink C-RAN. - Jinghong Tan; Qi Zhang 006; Tony Q. S. Quek; Hyundong Shin (IEEE Trans. Veh. Technol., 2019)

Robust Computation Offloading in Fog Radio Access Network With Fronthaul Compression. - Jinghong Tan; Tsung-Hui Chang; Kun Guo 002; Tony Q. S. Quek (IEEE Trans. Wirel. Commun., 2021)

Thermal-Aware Task Scheduling and Resource Allocation for UAV-and-Basestation Hybrid-Enabled MEC Networks. - Ling-Yan Bao; Zhenli He; Jinghong Tan; Yu Chen; Mingxiong Zhao 001 (IEEE Trans. Green Commun. Netw., 2023)

Joint Client Selection & Bandwidth Allocation in Federated Learning Based on Long-Term Data-Quality. - Jinghong Tan; Zhian Liu; Zhichen Zhang; Mingxiong Zhao 001 (GLOBECOM (Workshops), 2024)

Dependency-Driven Computation Completion Time Minimization for MEC Networks. - Xianqi Zhang; Jinghong Tan; Jianping Yao; Mingxiong Zhao 001 (WCNC, 2024)

Long-Term Client Selection for Federated Learning With Non-IID Data: A Truthful Auction Approach. - Jinghong Tan; Zhian Liu; Kun Guo 002; Mingxiong Zhao 001 (IEEE Internet Things J., 2025)

Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach. - Jinghong Tan; Zhian Liu; Kun Guo; Mingxiong Zhao (CoRR, 2025)