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Sihui Zheng
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2020 – today
- 2024
- [j5]Liyan Zhang
, Sihui Zheng
, Fan Yang
, Long Zhang, Rui Jiang
, Weijie Dai
, Yuhan Dong
, Xinke Tang
, Xun Guan
, Jian Song
:
Mutual Information Optimization With PAPR Reduction for MISO-OFDM UWOC Through Probabilistic Shaping and Precoding. IEEE Open J. Commun. Soc. 5: 6079-6089 (2024) - [c7]Mingjun Du, Sihui Zheng, Xiao-Ping Zhang, Yuhan Dong:
Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser Network. MobiCom 2024: 2043-2048 - 2023
- [c6]Sihui Zheng, Yuhan Dong, Xiang Chen:
Efficient Model Compression via Global Sparsification for Over-the-Air Federated Learning. GLOBECOM (Workshops) 2023: 920-925 - [c5]Sihui Zheng, Yuhan Dong, Xiang Chen:
Deep Reinforcement Learning-based Quantization for Federated Learning. WCNC 2023: 1-6 - [i3]Xiang Chen, Zhiheng Guo, Xijun Wang, Howard H. Yang, Chenyuan Feng, Junshen Su, Sihui Zheng, Tony Q. S. Quek
:
Foundation Model Based Native AI Framework in 6G with Cloud-Edge-End Collaboration. CoRR abs/2310.17471 (2023) - 2022
- [j4]Sihui Zheng
, Xiang Chen
:
Unequal error protection transmission for federated learning. IET Commun. 16(10): 1106-1118 (2022) - [j3]Jinliang Yan
, Ling Zhu, Fuqiang Lu, Sihui Zheng:
Linearly implicit and second-order energy-preserving schemes for the modified Korteweg-de Vries equation. Numer. Algorithms 91(4): 1511-1546 (2022) - [c4]Zixian Chen, Xiang Chen, Yuhan Dong, Sihui Zheng:
Multi - Agent Deep Deterministic Policy Gradient Based Satellite Spectrum/Code Resource Scheduling with Multi-constraint. ICCC Workshops 2022: 245-250 - 2021
- [j2]Cong Shen, Jie Xu
, Sihui Zheng, Xiang Chen:
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges. IEEE Commun. Mag. 59(5): 82-87 (2021) - [j1]Sihui Zheng
, Cong Shen
, Xiang Chen
:
Design and Analysis of Uplink and Downlink Communications for Federated Learning. IEEE J. Sel. Areas Commun. 39(7): 2150-2167 (2021) - [c3]Mingqi Han
, Xinghua Sun, Sihui Zheng, Xijun Wang, Hongzhou Tan:
Resource Rationing for Federated Learning with Reinforcement Learning. ComComAP 2021: 150-155 - [c2]Sihui Zheng, Cong Shen, Xiang Chen:
Design and Analysis of Uplink and Downlink Communications for Federated Learning. ICC 2021: 1-6 - [i2]Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen:
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges. CoRR abs/2104.06990 (2021) - 2020
- [i1]Sihui Zheng, Cong Shen, Xiang Chen:
Design and Analysis of Uplink and Downlink Communications for Federated Learning. CoRR abs/2012.04057 (2020)
2010 – 2019
- 2019
- [c1]Sihui Zheng, Shaohang Xie, Xiang Chen:
Discovering Urban Functional Regions with Call Detail Records and Points of Interest: A Case Study of Guangzhou City. WCSP 2019: 1-6
Coauthor Index
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