Analysis and improvement of the Dynamic Load Balancing of Overlay-based WSN. - Hang Qin; Zhongbo Wu (CIT, 2008)

A Selfish Game-Theoretic Approach for Cognitive Radio Networks with Dynamic Spectrum Sharing. - Hang Qin; Hui Wang 002; Huaibei Zhou (CSSE (4), 2008)

A Survey on MAC Protocols for Opportunistic Spectrum Access in Cognitive Radio Networks. - Hui Wang 002; Hang Qin; Li Zhu (CSSE (1), 2008)

Task scheduling for data aggregation in Fault-Tolerant wireless sensor networks. - Hang Qin; Lin Qiu (SMC, 2008)

DSHR: A Heuristic Replacement Scheme for Dynamic Spectrum Allocation in Cognitive Radio Networks. - Hang Qin; Jun Su (WGEC, 2009)

Dynamic Load Balancing with Overlay-Based Reconfiguration for Wireless Sensor Networks. - Hang Qin; Li Zhu; Zhongbo Wu (Wirel. Sens. Netw., 2009)

PCDS: Power Control with Opportunistic Scheduling for Cognitive Radio Networks Reconfiguration. - Hang Qin; Jun Su; Youfu Du (J. Networks, 2011)

Efficiency-based multi-item bargaining design in cognitive radio networks with spectrum coordination. - Hang Qin; Min Wang; Zhongbo Wu (Pers. Ubiquitous Comput., 2018)

Stochastic Resource Allocation for Well Control With Digital Oil Field Infrastructure. - Hang Qin; Zhu Han 001 (IEEE Syst. J., 2018)

Crude-Oil Scheduling Network in Smart Field Under Cyber-Physical System. - Hang Qin; Zhu Han 001 (IEEE Access, 2019)

Station green lighting system based on sensor network. - Min Wang; Zhongbo Wu; Hang Qin (EURASIP J. Wirel. Commun. Netw., 2019)

Filter based continuous median query algorithm in sensor network. - Zhongbo Wu; Min Wang; Hang Qin (J. Comput. Methods Sci. Eng., 2019)

Demand-side management for smart grid networks using stochastic linear programming game. - Hang Qin; Zhongbo Wu; Min Wang (Neural Comput. Appl., 2020)

Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network. - Lichao Sun; Hang Qin; Krzysztof Przystupa; Michal Majka; Orest Kochan (Sensors, 2022)

Divisible Task Offloading for Multiuser Multiserver Mobile Edge Computing Systems Based on Deep Reinforcement Learning. - Lin Tang; Hang Qin (IEEE Access, 2023)

Study on the Integration Strategy of Online EOL Testing of Pure Electric Vehicle Power Battery. - Huazhang Wang; Hang Qin (Sensors, 2023)

Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture. - Tianlei Zheng; Hang Qin; Yingying Cui; Rong Wang; Weiguo Zhao; Shijin Zhang; Shi Geng; Lei Zhao (BMC Medical Imaging, 2023)

iDANSE: Iterative Data-driven Nonlinear State Estimation of Model-free Hidden Sequences. - Hang Qin; Anubhab Ghosh; Saikat Chatterjee (ICASSP, 2025)