The Application of Motion Capture and 3D Skeleton Modeling in Virtual Fighting. - Xinliang Wei; Xiaolong Wan; Sihui Huang; Wei Sun (AniNex, 2017)

Examining Forest Disturbance and Recovery in the Subtropical Forest Region of Zhejiang Province Using Landsat Time-Series Data. - Shanshan Liu; Xinliang Wei; Dengqiu Li; Dengsheng Lu (Remote. Sens., 2017)

Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data. - Xiandie Jiang; Guiying Li; Dengsheng Lu; Erxue Chen; Xinliang Wei (Remote. Sens., 2020)

Data Placement Strategies for Data-Intensive Computing over Edge Clouds. - Xinliang Wei; A. B. M. Mohaimenur Rahman; Yu Wang 003 (IPCCC, 2021)

Joint Resource Placement and Task Dispatching in Mobile Edge Computing across Timescales. - Xinliang Wei; Yu Wang 003 (IWQoS, 2021)

On the Feasibility of Handwritten Signature Authentication Using PPG Sensor. - A. B. M. Mohaimenur Rahman; Yetong Cao; Xinliang Wei; Pu Wang 001; Fan Li 001; Yu Wang 003 (CCNC, 2022)

Participant Selection for Hierarchical Federated Learning in Edge Clouds. - Xinliang Wei; Jiyao Liu; Xinghua Shi; Yu Wang 003 (NAS, 2022)

PPGSign: Handwritten Signature Authentication using Wearable PPG Sensor. - A. B. M. Mohaimenur Rahman; Yetong Cao; Xinliang Wei; Pu Wang 001; Fan Li 001; Yu Wang 003 (WCNC, 2022)

Quantum Assisted Scheduling Algorithm for Federated Learning in Distributed Networks. - Xinliang Wei; Lei Fan 006; Yuanxiong Guo; Yanmin Gong 001; Zhu Han 001; Yu Wang 003 (ICCCN, 2023)

Group-based Hierarchical Federated Learning: Convergence, Group Formation, and Sampling. - Jiyao Liu; Xinliang Wei; Xuanzhang Liu; Hongchang Gao; Yu Wang 003 (ICPP, 2023)

Joint Optimization Across Timescales: Resource Placement and Task Dispatching in Edge Clouds. - Xinliang Wei; A. B. M. Mohaimenur Rahman; Dazhao Cheng; Yu Wang 003 (IEEE Trans. Cloud Comput., 2023)

Popularity-Based Data Placement With Load Balancing in Edge Computing. - Xinliang Wei; Yu Wang 003 (IEEE Trans. Cloud Comput., 2023)

Joint Participant Selection and Learning Optimization for Federated Learning of Multiple Models in Edge Cloud. - Xinliang Wei; Jiyao Liu; Yu Wang 003 (J. Comput. Sci. Technol., 2023)

Hybrid Quantum-Classical Computing via Dantzig-Wolfe Decomposition for Integer Linear Programming. - Xinliang Wei; Jiyao Liu; Lei Fan 006; Yuanxiong Guo; Zhu Han 001; Yu Wang 003 (ICCCN, 2024)

Topology Design with Resource Allocation and Entanglement Distribution for Quantum Networks. - Jiyao Liu; Xuanzhang Liu; Xinliang Wei; Yu Wang 003 (SECON, 2024)

Incentive Mechanism Design in Semi-Asynchronous Blockchain-based Federated Learning. - Xuanzhang Liu; Jiyao Liu; Xinliang Wei; Yu Wang 003 (VTC Fall, 2024)

Group Formation and Sampling in Group-Based Hierarchical Federated Learning. - Jiyao Liu; Xuanzhang Liu; Xinliang Wei; Hongchang Gao; Yu Wang 003 (IEEE Trans. Cloud Comput., 2024)

Hybrid Quantum-Classical Benders' Decomposition for Federated Learning Scheduling in Distributed Networks. - Xinliang Wei; Lei Fan 006; Yuanxiong Guo; Yanmin Gong 001; Zhu Han 001; Yu Wang 003 (IEEE Trans. Netw. Sci. Eng., 2024)

Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds. - Xinliang Wei; Kejiang Ye; Xinghua Shi; Cheng-Zhong Xu 001; Yu Wang 003 (IEEE Trans. Parallel Distributed Syst., 2024)

Entanglement From Sky: Optimizing Satellite-Based Entanglement Distribution for Quantum Networks. - Xinliang Wei; Lei Fan 006; Yuanxiong Guo; Zhu Han 001; Yu Wang 003 (IEEE/ACM Trans. Netw., 2024)

Optimal Entanglement Distribution Problem in Satellite-Based Quantum Networks. - Xinliang Wei; Jiyao Liu; Lei Fan 006; Yuanxiong Guo; Zhu Han 001; Yu Wang 003 (IEEE Netw., 2025)

A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing. - Xinliang Wei; Xitong Gao; Kejiang Ye; Cheng-Zhong Xu 001; Yu Wang 003 (IEEE Trans. Mob. Comput., 2025)