Large-Scale Mobile Fitness App Usage Analysis for Smart Health. - Xinlei Chen; Zheqi Zhu; Min Chen 003; Yong Li 008 (IEEE Commun. Mag., 2018)

Research on Willingness to Pay of Internet of Vehicles. - Zheqi Zhu; Nariaki Nishino (Int. J. Autom. Technol., 2018)

Machine Learning Based Prediction and Classification of Computational Jobs in Cloud Computing Centers. - Zheqi Zhu; Pingyi Fan (IWCMC, 2019)

Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing. - Zheqi Zhu; Shuo Wan; Pingyi Fan; Khaled B. Letaief (CoRR, 2020)

Storage Space Allocation Strategy for Digital Data with Message Importance. - Shanyun Liu; Rui She 001; Zheqi Zhu; Pingyi Fan (Entropy, 2020)

An Importance Aware Weighted Coding Theorem Using Message Importance Measure. - Zheqi Zhu; Shanyun Liu; Rui She 001; Shuo Wan; Pingyi Fan; Khaled B. Letaief (IEEE Commun. Lett., 2020)

An Edge Federated MARL Approach for Timeliness Maintenance in MEC Collaboration. - Zheqi Zhu; Shuo Wan; Pingyi Fan; Khaled B. Letaief (ICC Workshops, 2021)

MIM-CS: Message Importance Measure for Compressed Sensing. - Yuchen Shi; Pingyi Fan; Zheqi Zhu; Khaled B. Letaief (MeditCom, 2021)

Soft Compression: An Approach to Shape Coding for Images. - Gangtao Xin; Zhefan Li; Zheqi Zhu; Shuo Wan; Pingyi Fan; Khaled Ben Letaief (IEEE Commun. Lett., 2021)

Diversity Learning: Introducing the Space-time Scheme to Ensemble Learning. - Zheqi Zhu; Pingyi Fan; Khaled B. Letaief (WCNC, 2022)

ISFL: Trustworthy Federated Learning for Non-i.i.d. Data with Local Importance Sampling. - Zheqi Zhu; Pingyi Fan; Chenghui Peng; Khaled B. Letaief (CoRR, 2022)

Federated Multiagent Actor-Critic Learning for Age Sensitive Mobile-Edge Computing. - Zheqi Zhu; Shuo Wan; Pingyi Fan; Khaled B. Letaief (IEEE Internet Things J., 2022)

Information Framework Expansion Meets Knowledge Collision for Semantic Communications. - Gangtao Xin; Zheqi Zhu; Pingyi Fan (ICC, 2023)

Enhanced Federated Learning on Non-Iid Data via Local Importance Sampling. - Zheqi Zhu; Pingyi Fan; Chenghui Peng; Khaled B. Letaief (ICC Workshops, 2023)

FedLP: Layer-Wise Pruning Mechanism for Communication-Computation Efficient Federated Learning. - Zheqi Zhu; Yuchen Shi; Jiajun Luo; Fei Wang; Chenghui Peng; Pingyi Fan; Khaled B. Letaief (ICC, 2023)

Efficient Split Learning for Collaborative Intelligence in Next-generation Mobile Networks. - Zheqi Zhu; Wenjie Cheng; Yu Zeng; Kuikui Li; Chong Lou; Qinghai Zeng; Zhifang Gu (VTC Fall, 2023)

FedNC: A Secure and Efficient Federated Learning Method Inspired by Network Coding. - Yuchen Shi; Zheqi Zhu; Pingyi Fan; Khaled B. Letaief; Chenghui Peng (CoRR, 2023)

Towards Efficient Federated Learning: Layer-Wise Pruning-Quantization Scheme and Coding Design. - Zheqi Zhu; Yuchen Shi; Gangtao Xin; Chenghui Peng; Pingyi Fan; Khaled B. Letaief (Entropy, 2023)

Towards Efficient Federated Learning Framework via Selective Aggregation of Models. - Yuchen Shi; Pingyi Fan; Zheqi Zhu; Chenghui Peng; Fei Wang; Khaled B. Letaief (ICC Workshops, 2024)

FedNC: A Secure and Efficient Federated Learning Method with Network Coding. - Yuchen Shi; Zheqi Zhu; Pingyi Fan; Khaled B. Letaief; Chenghui Peng (WCNC, 2024)

A Tripartite Evolutionary Game Model for Chinese-Style Education Investment in ASEAN Under Local Government Policy. - Zheqi Zhu; Kun Zhai (Int. J. Gaming Comput. Mediat. Simulations, 2024)

ISFL: Federated Learning for Non-i.i.d. Data With Local Importance Sampling. - Zheqi Zhu; Yuchen Shi; Pingyi Fan; Chenghui Peng; Khaled B. Letaief (IEEE Internet Things J., 2024)

SAM: An Efficient Approach With Selective Aggregation of Models in Federated Learning. - Yuchen Shi; Pingyi Fan; Zheqi Zhu; Chenghui Peng; Fei Wang; Khaled B. Letaief (IEEE Internet Things J., 2024)