Application of artificial neural network model combined with four biomarkers in auxiliary diagnosis of lung cancer. - Xiaoran Duan; Yongli Yang; Shanjuan Tan; Sihua Wang; Xiaolei Feng; Liuxin Cui; Feifei Feng; Songcheng Yu; Wei Wang 425; Yongjun Wu (Medical Biol. Eng. Comput., 2017)

Joint Heterogeneous Tasks Offloading and Resource Allocation in Mobile Edge Computing Systems. - Sihua Wang; Chunyu Pan; Changchuan Yin (WCSP, 2018)

Task and Resource Allocation in Mobile Edge Computing: An Improved Reinforcement Learning Approach. - Sihua Wang; Mingzhe Chen; Xuanlin Liu; Changchuan Yin (GLOBECOM Workshops, 2019)

Machine Learning Based Task Scheduling for Wireless Powered Mobile Edge Computing IoT Networks. - Jianqi Xie; Sihua Wang; Changchuan Yin (WCSP, 2019)

Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks. - Ruoqi Liu; Xuanlin Liu; Sihua Wang; Changchuan Yin (GLOBECOM (Workshops), 2020)

Reinforcement Learning for Minimizing Age of Information under Realistic Physical Dynamics. - Sihua Wang; Mingzhe Chen; Walid Saad; Changchuan Yin; Shuguang Cui; H. Vincent Poor (GLOBECOM, 2020)

Federated Learning for Energy-Efficient Task Computing in Wireless Networks. - Sihua Wang; Mingzhe Chen; Walid Saad; Changchuan Yin (ICC, 2020)

Joint Task and Resource Allocation in SDN-based UAV-assisted Cellular Networks. - Yujiao Zhu; Sihua Wang; Xuanlin Liu; Haonan Tong; Changchuan Yin (ICCC, 2020)

Trajectory Design for Energy Harvesting UAV Networks: A Foraging Approach. - Xuanlin Liu; Mingzhe Chen; Sihua Wang; Walid Saad; Changchuan Yin (WCNC, 2020)

VNF Placement and Resource Allocation in SDN/NFV-Enabled MEC Networks. - Kiran Nahida; Xuanlin Liu; Sihua Wang; Changchuan Yin (WCNC Workshops, 2020)

Joint resource allocation and computation offloading in mobile edge computing for SDN based wireless networks. - Kiran Nahida; Chunyu Pan; Sihua Wang; Changchuan Yin (J. Commun. Networks, 2020)

Federated Learning based Audio Semantic Communication over Wireless Networks. - Haonan Tong; Zhaohui Yang 001; Sihua Wang; Ye Hu; Walid Saad; Changchuan Yin (GLOBECOM, 2021)

Minimization of Age of Information for Monitoring Realistic Physical Processes in Unmanned Aerial Vehicle Networks. - Xuanlin Liu; Sihua Wang; Mingzhe Chen; Changchuan Yin; Shuguang Cui; H. Vincent Poor (SPAWC, 2021)

Reinforcement Learning for Minimizing Age of Information in Real-time Internet of Things Systems with Realistic Physical Dynamics. - Sihua Wang; Mingzhe Chen; Zhaohui Yang 001; Changchuan Yin; Walid Saad; Shuguang Cui; H. Vincent Poor (CoRR, 2021)

Federated Learning for Audio Semantic Communication. - Haonan Tong; Zhaohui Yang 001; Sihua Wang; Ye Hu; Omid Semiari; Walid Saad; Changchuan Yin (Frontiers Commun. Networks, 2021)

Optimising resource allocation for virtual network functions in SDN/NFV-enabled MEC networks. - Kiran Nahida; Xuanlin Liu; Sihua Wang; Changchuan Yin (IET Commun., 2021)

A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks. - Sihua Wang; Mingzhe Chen; Xuanlin Liu; Changchuan Yin; Shuguang Cui; H. Vincent Poor (IEEE Internet Things J., 2021)

Federated Learning for Task and Resource Allocation in Wireless High-Altitude Balloon Networks. - Sihua Wang; Mingzhe Chen; Changchuan Yin; Walid Saad; Choong Seon Hong; Shuguang Cui; H. Vincent Poor (IEEE Internet Things J., 2021)

Mobility-Aware Seamless Handover With MPTCP in Software-Defined HetNets. - Haonan Tong; Tao Wang 179; Yujiao Zhu; Xuanlin Liu; Sihua Wang; Changchuan Yin (IEEE Trans. Netw. Serv. Manag., 2021)

Convergence Time Minimization for Federated Reinforcement Learning over Wireless Networks. - Sihua Wang; Mingzhe Chen; Changchuan Yin; H. Vincent Poor (CISS, 2022)

Model-Based Reinforcement Learning for Quantized Federated Learning Performance Optimization. - Nuocheng Yang; Sihua Wang; Mingzhe Chen; Christopher G. Brinton; Changchuan Yin; Walid Saad; Shuguang Cui (GLOBECOM, 2022)

Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems. - Sihua Wang; Mingzhe Chen; Zhaohui Yang 001; Changchuan Yin; Walid Saad; Shuguang Cui; H. Vincent Poor (IEEE J. Sel. Top. Signal Process., 2022)

Semantic-Aware Remote State Estimation in Digital Twin with Minimizing Age of Incorrect Information. - Haonan Tong; Sihua Wang; Zhaohui Yang 001; Jun Zhao 007; Mehdi Bennis; Changchuan Yin (GLOBECOM, 2023)

Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach. - Nuocheng Yang; Sihua Wang; Mingzhe Chen; Christopher G. Brinton; Changchuan Yin (GLOBECOM, 2023)

MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization. - Nuocheng Yang; Sihua Wang; Mingzhe Chen; Cong Shen 001; Changchuan Yin; Christopher G. Brinton (GLOBECOM, 2023)

Trajectory Design for 3D UAV Localization in UAV Based Networks. - Yujiao Zhu; Mingzhe Chen; Sihua Wang; Yuchen Liu 001; Changchuan Yin (GLOBECOM, 2023)

Performance Optimization for Digital Internet-of-Things Twins Over Wireless Networks. - Yujiao Zhu; Sihua Wang; Haonan Tong; Changchuan Yin (ICC Workshops, 2023)

Adaptive Bitrate Video Semantic Communication over Wireless Networks. - Wentao Gong; Haonan Tong; Sihua Wang; Zhaohui Yang 001; Xinxin He; Changchuan Yin (WCSP, 2023)

Cross-Layer Federated Learning Optimization in MIMO Networks. - Sihua Wang; Mingzhe Chen; Cong Shen 001; Changchuan Yin; Christopher G. Brinton (CoRR, 2023)

Biological Intelligence Inspired Trajectory Design for Energy Harvesting UAV Networks. - Xuanlin Liu; Sihua Wang; Changchuan Yin (Sensors, 2023)

A Communication-efficient Approach of Bayesian Distributed Federated Learning. - Sihua Wang; Huayan Guo; Xu Zhu 001; Changchuan Yin; Vincent K. N. Lau (GLOBECOM, 2024)

Mixture Gaussian Distribution-Based Collaborative Reinforcement Learning for 3D UAV Localization Optimization Against Jamming Attacks. - Yujiao Zhu; Mingzhe Chen; Sihua Wang; Yuchen Liu 001; Gaolei Li; Changchuan Yin; Tony Q. S. Quek (GLOBECOM, 2024)

A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design. - Nuocheng Yang; Sihua Wang; Mingzhe Chen; Changchuan Yin; Christopher G. Brinton (ICC, 2024)

Video Semantic Communication with Major Object Extraction and Contextual Video Encoding. - Haopeng Li; Haonan Tong; Sihua Wang; Nuocheng Yang; Zhaohui Yang 001; Changchuan Yin (WCNC, 2024)

Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks. - Sihua Wang; Mingzhe Chen; Christopher G. Brinton; Changchuan Yin; Walid Saad; Shuguang Cui (IEEE Trans. Wirel. Commun., 2024)

Digital Over-the-Air Federated Learning in Multi-Antenna Systems. - Sihua Wang; Mingzhe Chen; Cong Shen 001; Changchuan Yin; Christopher G. Brinton (IEEE Trans. Wirel. Commun., 2024)

Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking. - Yujiao Zhu; Mingzhe Chen; Sihua Wang; Ye Hu; Yuchen Liu 001; Changchuan Yin (IEEE Trans. Mob. Comput., 2024)

Communication-Efficient Distributed Bayesian Federated Learning Over Arbitrary Graphs. - Sihua Wang; Huayan Guo; Xu Zhu 001; Changchuan Yin; Vincent K. N. Lau (IEEE Trans. Signal Process., 2025)

Passive Inter-Satellite Localization Accuracy Optimization in Low Earth Orbit Satellite Networks. - Yujiao Zhu; Mingzhe Chen; Sihua Wang; Ye Hu; Yuchen Liu 001; Changchuan Yin; Tony Q. S. Quek (IEEE Trans. Wirel. Commun., 2025)