Green Energy Aware Avatar Migration Strategy in Green Cloudlet Networks. - Xiang Sun 001; Nirwan Ansari; Qiang Fan 002 (CloudCom, 2015)

Green energy aware user association in heterogeneous networks. - Qiang Fan 002; Nirwan Ansari (WCNC, 2016)

Cost Aware cloudlet Placement for big data processing at the edge. - Qiang Fan 002; Nirwan Ansari (ICC, 2017)

Throughput aware and green energy aware user association in heterogeneous networks. - Qiang Fan 002; Nirwan Ansari (ICC, 2017)

Energy Driven Avatar Migration in Green Cloudlet Networks. - Qiang Fan 002; Nirwan Ansari; Xiang Sun 001 (IEEE Commun. Lett., 2017)

3-D Drone-Base-Station Placement With In-Band Full-Duplex Communications. - Liang Zhang 011; Qiang Fan 002; Nirwan Ansari (IEEE Commun. Lett., 2018)

Workload Allocation in Hierarchical Cloudlet Networks. - Qiang Fan 002; Nirwan Ansari (IEEE Commun. Lett., 2018)

Application Aware Workload Allocation for Edge Computing-Based IoT. - Qiang Fan 002; Nirwan Ansari (IEEE Internet Things J., 2018)

A Swarming Approach to Optimize the One-Hop Delay in Smart Driving Inter-Platoon Communications. - Qiong Wu 002; Shuzhen Nie; Pingyi Fan; Hanxu Liu; Qiang Fan 002; Zhengquan Li (Sensors, 2018)

Velocity-Adaptive V2I Fair-Access Scheme Based on IEEE 802.11 DCF for Platooning Vehicles. - Qiong Wu 002; Siyang Xia; Pingyi Fan; Qiang Fan 002; Zhengquan Li (Sensors, 2018)

Towards Throughput Aware and Energy Aware Traffic Load Balancing in Heterogeneous Networks with Hybrid Power Supplies. - Qiang Fan 002; Nirwan Ansari (IEEE Trans. Green Commun. Netw., 2018)

Reducing the Number of FSO Base Stations With Dual Transceivers for Next-Generation Ground-to-Train Communications. - Qiang Fan 002; Nirwan Ansari; Jianghua Feng; Roberto Rojas-Cessa; MengChu Zhou; Tairan Zhang (IEEE Trans. Veh. Technol., 2018)

Reducing the Impact of Handovers in Ground-to-Train Free Space Optical Communications. - Qiang Fan 002; Mina Taheri; Nirwan Ansari; Jianghua Feng; Roberto Rojas-Cessa; MengChu Zhou; Tairan Zhang (IEEE Trans. Veh. Technol., 2018)

On cost aware cloudlet placement for mobile edge computing. - Qiang Fan 002; Nirwan Ansari (IEEE CAA J. Autom. Sinica, 2019)

Towards Traffic Load Balancing in Drone-Assisted Communications for IoT. - Qiang Fan 002; Nirwan Ansari (IEEE Internet Things J., 2019)

SoarNet. - Nirwan Ansari; Qiang Fan 002; Xiang Sun 001; Liang Zhang 011 (IEEE Wirel. Commun., 2019)

Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm. - Qiang Fan 002; Jianan Bai 001; Hao-Hsuan Chang; Lianjun Li 001; Shiya Liu; Joe Huang; John Burgess; Allan Berlinsky; Alex Pidwerbetsky; Jonathan D. Ashdown; Kurt A. Turck; Lingjia Liu 001 (NANOCOM, 2020)

A Task Offloading Scheme in Vehicular Fog and Cloud Computing System. - Qiong Wu 002; Hongmei Ge; Hanxu Liu; Qiang Fan 002; Zhengquan Li; Ziyang Wang (IEEE Access, 2020)

Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G. - Shashank Jere; Qiang Fan 002; Bodong Shang; Lianjun Li 001; Lingjia Liu 001 (CoRR, 2020)

Delay-Sensitive Task Offloading in the 802.11p-Based Vehicular Fog Computing Systems. - Qiong Wu 002; Hanxu Liu; Ruhai Wang; Pingyi Fan; Qiang Fan 002; Zhengquan Li (IEEE Internet Things J., 2020)

Towards Workload Balancing in Fog Computing Empowered IoT. - Qiang Fan 002; Nirwan Ansari (IEEE Trans. Netw. Sci. Eng., 2020)

Time-Dependent Performance Analysis of the 802.11p-Based Platooning Communications Under Disturbance. - Qiong Wu 002; Hongmei Ge; Pingyi Fan; Jiangzhou Wang; Qiang Fan 002; Zhengquan Li (IEEE Trans. Veh. Technol., 2020)

Real-Time Performance Evaluation of IEEE 802.11p EDCA Mechanism for IoV in a Highway Environment. - Hong Li; Qiong Wu 002; Jing Fan; Qiang Fan 002; Bo Chang; Guilu Wu (Wirel. Commun. Mob. Comput., 2020)

Efficient Task Offloading for 802.11p-Based Cloud-Aware Mobile Fog Computing System in Vehicular Networks. - Qiong Wu 002; Hongmei Ge; Qiang Fan 002; Wei Yin; Bo Chang; Guilu Wu (Wirel. Commun. Mob. Comput., 2020)

Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing. - Wenhua Wang; Yu Zhao; Qiong Wu 002; Qiang Fan 002; Cui Zhang; Zhengquan Li (WCSP, 2022)

Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method. - Qiong Wu 002; Shuai Shi; Ziyang Wan; Qiang Fan 002; Pingyi Fan; Cui Zhang (CoRR, 2022)

High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks. - Qiong Wu 002; Xiaobo Wang 001; Qiang Fan 002; Pingyi Fan; Cui Zhang; Zhengquan Li (CoRR, 2022)

Asynchronous Federated Learning for Edge-assisted Vehicular Networks. - Siyuan Wang; Qiong Wu 002; Qiang Fan 002; Cui Zhang; Zhengquan Li (CoRR, 2022)

Delay-Aware Resource Allocation in Fog-Assisted IoT Networks Through Reinforcement Learning. - Qiang Fan 002; Jianan Bai 001; Hongxia Zhang; Yang Yi 002; Lingjia Liu 001 (IEEE Internet Things J., 2022)

Differential Privacy Meets Federated Learning Under Communication Constraints. - Nima Mohammadi; Jianan Bai 001; Qiang Fan 002; Yifei Song; Yang Yi 002; Lingjia Liu 001 (IEEE Internet Things J., 2022)

Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks. - Javad Sabzehali; Vijay K. Shah; Qiang Fan 002; Biplav Choudhury; Lingjia Liu 001; Jeffrey H. Reed (IEEE Internet Things J., 2022)

Velocity-Adaptive Access Scheme for MEC-Assisted Platooning Networks: Access Fairness Via Data Freshness. - Qiong Wu 002; Ziyang Wang; Qiang Fan 002; Pingyi Fan; Jiangzhou Wang (IEEE Internet Things J., 2022)

Time-Dependent Performance Modeling for Platooning Communications at Intersection. - Qiong Wu 002; Yu Zhao; Qiang Fan 002 (IEEE Internet Things J., 2022)

Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning. - Hongbiao Zhu; Qiong Wu 002; Xiao-Jun Wu 001; Qiang Fan 002; Pingyi Fan; Jiangzhou Wang (IEEE Internet Things J., 2022)

Mobility-Aware Asynchronous Federated Learning for Edge-Assisted Vehicular Networks. - Siyuan Wang; Qiong Wu 002; Qiang Fan 002; Pingyi Fan; Jiangzhou Wang (ICC, 2023)

Enhanced C-V2X Mode 4 to Optimize Age of Information and Reliability for IoV. - Jiahou Chu; Qiong Wu 002; Qiang Fan 002; Zhengquan Li (ICCT, 2023)

Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems. - Hongbiao Zhu; Qiong Wu 002; Qiang Fan 002; Pingyi Fan; Jiangzhou Wang; Zhengquan Li (CoRR, 2023)

Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing. - Qiong Wu 002; Siyuan Wang; Pingyi Fan; Qiang Fan 002 (CoRR, 2023)

Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning. - Qiong Wu 002; Yu Zhao; Qiang Fan 002; Pingyi Fan; Jiangzhou Wang; Cui Zhang (IEEE J. Sel. Top. Signal Process., 2023)

A Power Allocation Scheme for MIMO-NOMA and D2D Vehicular Edge Computing Based on Decentralized DRL. - Dunxing Long; Qiong Wu 002; Qiang Fan 002; Pingyi Fan; Zhengquan Li; Jing Fan (Sensors, 2023)

Deep Reinforcement Learning-Based Power Allocation for Minimizing Age of Information and Energy Consumption in Multi-Input Multi-Output and Non-Orthogonal Multiple Access Internet of Things Systems. - Qiong Wu 002; Zheng Zhang; Hongbiao Zhu; Pingyi Fan; Qiang Fan 002; Huiling Zhu; Jiangzhou Wang (Sensors, 2023)

Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network. - Qiong Wu 002; Wenhua Wang; Pingyi Fan; Qiang Fan 002; Huiling Zhu; Khaled B. Letaief (CoRR, 2024)

Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing. - Cui Zhang; Xiao Xu; Qiong Wu 002; Pingyi Fan; Qiang Fan 002; Huiling Zhu; Jiangzhou Wang (CoRR, 2024)

Mobility-Aware Federated Self-supervised Learning in Vehicular Network. - Xueying Gu; Qiong Wu 002; Pingyi Fan; Qiang Fan 002 (CoRR, 2024)

A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning. - Jingbo Zhang; Qiong Wu 002; Pingyi Fan; Qiang Fan 002 (CoRR, 2024)

Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning. - Zhiyu Shao; Qiong Wu 002; Pingyi Fan; Kezhi Wang; Qiang Fan 002; Wen Chen 001; Khaled B. Letaief (CoRR, 2024)

Optimizing Age of Information in Internet of Vehicles Over Error-Prone Channels. - Cui Zhang; Maoxin Ji; Qiong Wu 002; Pingyi Fan; Qiang Fan 002 (CoRR, 2024)

Delay-Sensitive Task Offloading in Vehicular Fog Computing-Assisted Platoons. - Qiong Wu 002; Siyuan Wang; Hongmei Ge; Pingyi Fan; Qiang Fan 002; Khaled Ben Letaief (IEEE Trans. Netw. Serv. Manag., 2024)

Blockchain-Enabled Variational Information Bottleneck for IoT Networks. - Qiong Wu 002; Le Kuai; Pingyi Fan; Qiang Fan 002; Junhui Zhao 001; Jiangzhou Wang (IEEE Netw. Lett., 2024)

Joint Optimization of Age of Information and Energy Consumption in NR-V2X System Based on Deep Reinforcement Learning. - Shulin Song; Zheng Zhang; Qiong Wu 002; Pingyi Fan; Qiang Fan 002 (Sensors, 2024)

Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Networks. - Qiong Wu 002; Wenhua Wang; Pingyi Fan; Qiang Fan 002; Huiling Zhu; Khaled B. Letaief (IEEE Trans. Netw. Serv. Manag., 2024)

URLLC-Awared Resource Allocation for Heterogeneous Vehicular Edge Computing. - Qiong Wu 002; Wenhua Wang; Pingyi Fan; Qiang Fan 002; Jiangzhou Wang; Khaled B. Letaief (IEEE Trans. Veh. Technol., 2024)

Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning. - Kangwei Qi; Qiong Wu 002; Pingyi Fan; Nan Cheng; Qiang Fan 002; Jiangzhou Wang (IEEE Commun. Lett., 2024)

Semantic-Aware Resource Allocation Based on Deep Reinforcement Learning for 5G-V2X HetNets. - Zhiyu Shao; Qiong Wu 002; Pingyi Fan; Nan Cheng; Qiang Fan 002; Jiangzhou Wang (IEEE Commun. Lett., 2024)

Vehicle Selection for C-V2X Mode 4-Based Federated Edge Learning Systems. - Xiaobo Wang 001; Qiong Wu 002; Pingyi Fan; Qiang Fan 002; Huiling Zhu; Jiangzhou Wang (IEEE Syst. J., 2024)

A Survey on Semantic Communications in Internet of Vehicles. - Sha Ye; Qiong Wu 002; Pingyi Fan; Qiang Fan 002 (Entropy, 2025)

DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV. - Xueying Gu; Qiong Wu 002; Pingyi Fan; Qiang Fan 002; Nan Cheng; Wen Chen 001; Khaled Ben Letaief (IEEE Internet Things J., 2025)

Distributed Deep Reinforcement Learning-Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing. - Cui Zhang; Wenjun Zhang 001; Qiong Wu 002; Pingyi Fan; Qiang Fan 002; Jiangzhou Wang; Khaled B. Letaief (IEEE Internet Things J., 2025)

Optimizing System Latency for Blockchain-Encrypted Edge Computing in Internet of Vehicles. - Cui Zhang; Maoxin Ji; Qiong Wu 002; Pingyi Fan; Qiang Fan 002 (CoRR, 2025)