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Biography

Jingheng Zheng received the B.E. degree in communication engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 2020. He is currently pursuing the Ph.D. degree with the State Key Laboratory of Networking and Switching Technology. His research interests include federated learning, non-orthogonal multiple access, reconfigurable intelligent surface, over-the-air computation, and wireless resource management.

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Education and qualifications (1)

Beijing University of Posts and Telecommunications: Beijing, Beijing, CN

2020-09 to 2025-06 | Ph.D. candidate (State Key Laboratory of Networking and Switching Technology)
Education
Source: Self-asserted source
Jingheng Zheng

Works (6)

Federated Low-Rank Adaptation for Large Models Fine-Tuning Over Wireless Networks

IEEE Transactions on Wireless Communications
2025-01 | Journal article
Contributors: Haofeng Sun; Hui Tian; Wanli Ni; Jingheng Zheng; Dusit Niyato; Ping Zhang
Source: check_circle
Crossref

Retransmission-Based Semi-Federated Learning

IEEE Transactions on Wireless Communications
2024 | Journal article
Contributors: Jingheng Zheng; Hui Tian; Wanli Ni; Gaofeng Nie; Wenchao Jiang; Tony Q. S. Quek
Source: check_circle
Crossref

Joint Optimization of Convergence and Latency for Hierarchical Federated Learning Over Wireless Networks

IEEE Wireless Communications Letters
2024-03 | Journal article
Contributors: Haofeng Sun; Hui Tian; Jingheng Zheng; Wanli Ni
Source: check_circle
Crossref

Semi-Federated Learning: Convergence Analysis and Optimization of a Hybrid Learning Framework

IEEE Transactions on Wireless Communications
2023-12 | Journal article
Contributors: Jingheng Zheng; Wanli Ni; Hui Tian; Deniz Gündüz; Tony Q. S. Quek; Zhu Han
Source: check_circle
Crossref

Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks

IEEE Internet of Things Journal
2023-07-01 | Journal article
Contributors: Wanli Ni; Jingheng Zheng; Hui Tian
Source: check_circle
Crossref

Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-Aided Over-the-Air Federated Learning

IEEE Transactions on Wireless Communications
2022-12 | Journal article
Contributors: Jingheng Zheng; Hui Tian; Wanli Ni; Wei Ni; Ping Zhang
Source: check_circle
Crossref