Quasi-conformal statistical shape analysis of hippocampal surfaces for Alzheimer's disease analysis. - Hei Long Chan; Hangfan Li; Lok Ming Lui (Neurocomputing, 2016)

Privacy-Aware Task Allocation with Service Differentiation for Mobile Edge Computing: Multi-armed Bandits Approach. - Hangfan Li; Lin Shi; Xiaoxiong Zhong; Yun Ji; Sheng Zhang (ChinaCom, 2022)

Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective. - Yun Ji; Zhoubin Kou; Xiaoxiong Zhong; Hangfan Li; Fan Yang 086; Sheng Zhang (GLOBECOM, 2022)

Batch based Multi-Arm Bandits with Knapsacks for Tasks Allocation in MEC. - Hangfan Li; Xiaoxiong Zhong; Yun Ji; Xinghan Wang; Sheng Zhang (ICCC, 2022)

A Multi-User Effective Computation Offloading Mechanism for MEC System: Batched Multi-Armed Bandits Approach. - Hangfan Li; Xiaoxiong Zhong; Xinghan Wang; Yun Ji; Sheng Zhang (CoRR, 2022)

A Multi - User Effective Computation Offloading Mechanism for MEC System: Batched Multi-Armed Bandits Approach. - Hangfan Li; Lin Shi; Xiaoxiong Zhong; Xinghan Wang; Yun Ji; Sheng Zhang (HPCC/DSS/SmartCity/DependSys, 2023)

Efficiency-Boosting Federated Learning in Wireless Networks: A Long-Term Perspective. - Yun Ji; Xiaoxiong Zhong; Zhoubin Kou; Sheng Zhang; Hangfan Li; Yuanyuan Yang 001 (IEEE Trans. Veh. Technol., 2023)

Blockchain-Enabled Multiple Sensitive Task-Offloading Mechanism for MEC Applications. - Yang Xu 013; Hangfan Li; Cheng Zhang 035; Zhiqing Tang; Xiaoxiong Zhong; Ju Ren 001; Hongbo Jiang 001; Yaoxue Zhang (IEEE Trans. Mob. Comput., 2025)

A Multi-User Effective Computation Offloading Mechanism for MEC System: Batched Multi-Armed Bandits Approach. - Hangfan Li; Li Li; Shuaishuai Tan; Xiaoxiong Zhong; Sheng Zhang (IEEE Trans. Netw. Serv. Manag., 2025)