A random access scheme based on device-to-device communications for machine-type communications. - Tao Deng 003; Xian Wang 002; Wei Jiang (ICCT, 2013)

Performance Analysis of a Device-to-Device Communication-Based Random Access Scheme for Machine-Type Communications. - Tao Deng 003; Xian Wang 002 (Wirel. Pers. Commun., 2015)

A Network Assisted Fast Handover Scheme for High Speed Rail Wireless Networks. - Tao Deng 003; Zhengquan Zhang; Xian Wang 002; Pingzhi Fan (VTC Spring, 2016)

Modeling and Performance Analysis of a Tracking-Area-List-Based Location Management Scheme in LTE Networks. - Tao Deng 003; Xian Wang 002; Pingzhi Fan; Keqin Li 001 (IEEE Trans. Veh. Technol., 2016)

Cost-Optimal Caching for D2D Networks with Presence of User Mobility. - Tao Deng 003; Ghafour Ahani; Pingzhi Fan; Di Yuan 001 (GLOBECOM, 2017)

Cost-Optimal Caching for D2D Networks With User Mobility: Modeling, Analysis, and Computational Approaches. - Tao Deng 003; Ghafour Ahani; Pingzhi Fan; Di Yuan 001 (IEEE Trans. Wirel. Commun., 2018)

Device Caching for Network Offloading: Delay Minimization With Presence of User Mobility. - Tao Deng 003; Lei You 002; Pingzhi Fan; Di Yuan 001 (IEEE Wirel. Commun. Lett., 2018)

Optimizing Retention-Aware Caching in Vehicular Networks. - Tao Deng 003; Pingzhi Fan; Di Yuan 001 (IEEE Trans. Commun., 2019)

Modeling and Optimization of Mobility-Aware Dynamic Caching With Time-Varying Content Popularity. - Tao Deng 003; Pingzhi Fan; Di Yuan 001 (IEEE Trans. Veh. Technol., 2020)

Multi-cell Caching: Fresh Information with Minimum Cost. - Zhanwei Yu; Tao Deng 003; Yi Zhao 017; Di Yuan 001 (WCNC, 2022)

Pipelined Training and Transmission for Federated Learning. - Yihui Shen; Hong Zhang; Juncheng Jia; Tao Deng 003; Zhenhua Wang; Zhiwei Teng; Mianxiong Dong (ICPADS, 2023)

Scheduling for Multi-Cell Caching: Hit Maximization Subject to Age of Information. - Tao Deng 003; Zhanwei Yu; Di Yuan 001 (IEEE Trans. Veh. Technol., 2023)

Optimal Task Allocation for Battery-Assisted and Price-Aware Mobile Edge Computing. - Tao Deng 003; Lei You 002; Zhanwei Yu; Di Yuan 001 (IEEE Netw. Lett., 2023)

Less Carbon Footprint in Edge Computing by Joint Task Offloading and Energy Sharing. - Zhanwei Yu; Yi Zhao 017; Tao Deng 003; Lei You 002; Di Yuan 001 (IEEE Netw. Lett., 2023)

Efficient Scheduling for Multi-Job Vertical Federated Learning. - Jingyao Yang; Juncheng Jia; Tao Deng 003; Mianxiong Dong (ICC, 2024)

Distributed Machine Learning with Electric Vehicles in Parking Lots. - Weijun Bai; Juncheng Jia; Tao Deng 003; Mianxiong Dong (IJCNN, 2024)

NASFLY: On-Device Split Federated Learning with Neural Architecture Search. - Chao Huo; Juncheng Jia; Tao Deng 003; Mianxiong Dong; Zhanwei Yu; Di Yuan 001 (ISPA, 2024)

Robust Online Temperature Management for Passively Cooled Base Stations. - Yi Zhao 017; Zhanwei Yu; Tao Deng 003; Di Yuan 001 (VTC Spring, 2024)

Task offloading optimization in mobile edge computing under uncertain processing cycles and intermittent communications. - Tao Deng 003; Zhanwei Yu; Di Yuan 001 (Comput. Networks, 2024)

Multi-cell content caching: Optimization for cost and information freshness. - Zhanwei Yu; Tao Deng 003; Yi Zhao 017; Di Yuan 001 (Comput. Networks, 2024)

General Federated Class-Incremental Learning With Lightweight Generative Replay. - Yuanlu Chen; Alysa Ziying Tan; Siwei Feng; Han Yu 001; Tao Deng 003; Libang Zhao; Feng Wu (IEEE Internet Things J., 2024)

Optimizing Resource Allocation and Request Routing for AI-Generated Content (AIGC) Services in Mobile Edge Networks With Cell Coupling. - Tao Deng 003; Dongyu Chen; Juncheng Jia; Mianxiong Dong; Kaoru Ota; Zhanwei Yu; Di Yuan 001 (IEEE Trans. Veh. Technol., 2024)

ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking. - Rong Li; Tao Deng 003; Siwei Feng; Mingjie Sun; Juncheng Jia (AAAI, 2025)

Mobility-aware decentralized federated learning with joint optimization of local iteration and leader selection for vehicular networks. - Dongyu Chen; Tao Deng 003; Juncheng Jia; Siwei Feng; Di Yuan 001 (Comput. Networks, 2025)

Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization. - Dongyu Chen; Tao Deng 003; He Huang; Juncheng Jia; Mianxiong Dong; Di Yuan 001; Keqin Li 001 (CoRR, 2025)

WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition. - Rong Li; Tao Deng 003; Siwei Feng; He Huang; Juncheng Jia; Di Yuan 001; Keqin Li 001 (CoRR, 2025)

Federated Class-Incremental Learning via Weighted Aggregation and Distillation. - Feng Wu; Alysa Ziying Tan; Siwei Feng; Han Yu 001; Tao Deng 003; Libang Zhao; Yuanlu Chen (IEEE Internet Things J., 2025)