Fair adaptive resource allocation in NC-OFDM based cognitive radio system. - Hui Liang 002; Xiaohui Zhao 004; Chunfa Zhang (WCSP, 2010)

Optimal power allocation for energy harvesting cognitive radio networks with primary rate protection. - Hui Liang 002; Xiaohui Zhao 004 (ICNC, 2016)

Robust power allocation with SINR target based on Lyapunov stability approach for cognitive radio networks. - Shi Pan; Xiaohui Zhao 004; Hui Liang 002 (APCC, 2017)

Non-stationary wiener filter design for channel estimation of PS-OFDM cognitive radio using time-reversal communication: A locally stationary approach. - Munyaradzi Munochiveyi; Xiaohui Zhao 004; Hui Liang 002 (ICSAI, 2017)

Optimal power allocations for multichannel energy harvesting cognitive radio. - Hui Liang 002; Xiaohui Zhao 004; Wei Zhang 001 (WoWMoM, 2017)

Crowdsensing Indoor Walking Paths with Massive Noisy Crowdsourcing User Traces. - Zan Li 002; Xiaohui Zhao 004; Zhongliang Zhao; Fengye Hu; Hui Liang 002; Torsten Braun (GLOBECOM, 2018)

Automatic Construction of Radio Maps by Crowdsourcing PDR Traces for Indoor Positioning. - Zan Li 002; Xiaohui Zhao 004; Hui Liang 002 (ICC, 2018)

A Narrow-Band Indoor Positioning System by Fusing Time and Received Signal Strength via Ensemble Learning. - Zan Li 002; Torsten Braun; Xiaohui Zhao 004; Zhongliang Zhao; Fengye Hu; Hui Liang 002 (IEEE Access, 2018)

Throughput maximization-based optimal power allocation for energy-harvesting cognitive radio networks with multiusers. - Yuanyi Wang; Xiaohui Zhao 004; Hui Liang 002 (EURASIP J. Wirel. Commun. Netw., 2018)

Robust energy efficiency power allocation for relay-assisted uplink cognitive radio networks. - Zhihan Liu; Xiaohui Zhao 004; Hui Liang 002 (Wirel. Networks, 2018)

Deep Reinforcement Learning Optimal Transmission Policy for Communication Systems With Energy Harvesting and Adaptive MQAM. - Mingyu Li; Xiaohui Zhao 004; Hui Liang 002; Fengye Hu (IEEE Trans. Veh. Technol., 2019)

POMDP-Based Energy Cooperative Transmission Policy for Multiple Access Model Powered by Energy Harvesting. - Huifang Liu; Xiaohui Zhao 004; Hui Liang 002; Zan Li 002 (IEEE Trans. Veh. Technol., 2019)

Performance optimization for energy harvesting cognitive cooperative networks with imperfect spectrum sensing. - Yao Wang; Xiaohui Zhao 004; Hui Liang 002 (Wirel. Networks, 2019)

Throughput Maximization by Deep Reinforcement Learning With Energy Cooperation for Renewable Ultradense IoT Networks. - Ya Li; Xiaohui Zhao 004; Hui Liang 002 (IEEE Internet Things J., 2020)

Optimal Energy Cooperation Policy in Fusion Center-Based Sustainable Wireless Sensor Networks. - Hui Liang 002; Xiaohui Zhao 004; Zan Li 002 (IEEE Trans. Veh. Technol., 2020)

Power Allocation Based on Reinforcement Learning for MIMO System With Energy Harvesting. - Xingchi Mu; Xiaohui Zhao 004; Hui Liang 002 (IEEE Trans. Veh. Technol., 2020)

A Combinatorial Auction Resource Trading Mechanism for Cybertwin-Based 6G Network. - Hui Liang 002; Huan Li; Wei Zhang 001 (IEEE Internet Things J., 2021)

Blockchian Empowered Reliable Computation Offloading and Resource Allocation for Mobile Edge Computing Networks. - Weiwei Yang 003; Long Shi 001; Hui Liang 002; Wei Zhang 001 (ICCC, 2023)

Stochastic-Stackelberg-Game-Based Edge Service Selection for Massive IoT Networks. - Hui Liang 002; Wei Zhang 001 (IEEE Internet Things J., 2023)

Statistical QoS Provisioning Architecture for 6G Satellite-Terrestrial Integrated Networks. - Jingqing Wang; Wenchi Cheng; Wei Zhang 001; Hui Liang 002 (J. Commun. Inf. Networks, 2024)

Trusted Mobile Edge Computing: DAG Blockchain-Aided Trust Management and Resource Allocation. - Weiwei Yang 003; Long Shi 001; Hui Liang 002; Wei Zhang 001 (IEEE Trans. Wirel. Commun., 2024)

Mixture of Gradient: A Unified Enhancing Approach for Deep-Learning-Based Wireless Network Optimization. - Nan Chen 006; Longfei Ma; Yanpeng Dai; Xiucheng Wang; Qihao Li; Wei Quan 001; Hui Liang 002; Xuemin Shen (IEEE Internet Things J., 2025)

A Cybertwin-Based Trading Mechanism for Personalized Transmission Services in Cloud Native Networks. - Zhiyong Zeng; Dandan Liang; Meng Qin 001; Ruijin Sun; Hui Liang 002; Wei Zhang 001 (IEEE Wirel. Commun. Lett., 2025)