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ORCIDQunsong Zeng
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2020 – today
- 2024
[j7]Qunsong Zeng
, Jiawei Liu, Mingrui Jiang, Jun Lan, Yi Gong, Zhongrui Wang, Yida Li, Can Li, Jim Ignowski, Kaibin Huang:
Realizing In-Memory Baseband Processing for Ultrafast and Energy-Efficient 6G. IEEE Internet Things J. 11(3): 5169-5183 (2024)- [j6]Hai Wu, Qunsong Zeng, Kaibin Huang:
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting. IEEE Trans. Wirel. Commun. 23(8): 10459-10472 (2024) - [c7]Zhengyang Hu, Song Kang, Qunsong Zeng, Kaibin Huang, Yanchao Yang:
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization. ICML 2024 - [i11]Zhengyang Hu, Song Kang, Qunsong Zeng, Kaibin Huang, Yanchao Yang:
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization. CoRR abs/2402.10158 (2024) - [i10]Mingyao Cui, Qunsong Zeng, Kaibin Huang:
Towards Atomic MIMO Receivers. CoRR abs/2404.04864 (2024) - [i9]Mingyao Cui, Qunsong Zeng, Kaibin Huang:
IQ-aware precoding for atomic MIMO receivers. CoRR abs/2408.14366 (2024) - [i8]Qunsong Zeng, Zhanwei Wang, You Zhou, Hai Wu, Lin Yang, Kaibin Huang:
Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence. CoRR abs/2409.13319 (2024) - 2023
- [j5]Qiao Lan, Qunsong Zeng, Petar Popovski, Deniz Gündüz, Kaibin Huang:
Progressive Feature Transmission for Split Classification at the Wireless Edge. IEEE Trans. Wirel. Commun. 22(6): 3837-3852 (2023) - [c6]Yaping Zhao, Qunsong Zeng, Edmund Y. Lam:
Adaptive Compressed Sensing for Real-Time Video Compression, Transmission, and Reconstruction. DSAA 2023: 1-10 - [c5]Peng Yang, Dingzhu Wen, Qunsong Zeng, Ting Wang, Yuanming Shi:
Communication-Efficient Vertically Split Inference via Over-the-Air Computation. SPAWC 2023: 1-5 - [c4]Hai Wu, Qunsong Zeng, Kaibin Huang:
Communication-Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting. SPAWC 2023: 26-30 - [i7]Hai Wu, Qunsong Zeng, Kaibin Huang:
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting. CoRR abs/2307.15316 (2023) - 2022
- [j4]Qunsong Zeng, Yuqing Du, Kaibin Huang:
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer. IEEE Trans. Wirel. Commun. 21(1): 680-695 (2022) - [c3]Qiao Lan, Qunsong Zeng, Petar Popovski, Deniz Gündüz, Kaibin Huang:
Progressive Transmission of High-Dimensional Data Features for Inference at the Network Edge. SPAWC 2022: 1-5 - 2021
- [j3]Qiao Lan, Dingzhu Wen, Zezhong Zhang, Qunsong Zeng, Xu Chen, Petar Popovski, Kaibin Huang:
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence. J. Commun. Inf. Networks 6(4): 336-371 (2021) - [j2]Dongzhu Liu, Guangxu Zhu, Qunsong Zeng, Jun Zhang, Kaibin Huang:
Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission. IEEE Trans. Wirel. Commun. 20(1): 406-420 (2021) - [j1]Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung:
Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing. IEEE Trans. Wirel. Commun. 20(12): 7947-7962 (2021) - [c2]Qunsong Zeng, Yuqing Du, Kaibin Huang:
Wirelessly Powered Federated Edge Learning. SPAWC 2021: 286-290 - [i6]Qunsong Zeng, Yuqing Du, Kaibin Huang:
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer. CoRR abs/2102.12357 (2021) - [i5]Qiao Lan, Dingzhu Wen, Zezhong Zhang, Qunsong Zeng, Xu Chen, Petar Popovski, Kaibin Huang:
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence. CoRR abs/2110.00196 (2021) - [i4]Qiao Lan, Qunsong Zeng, Petar Popovski, Deniz Gündüz, Kaibin Huang:
Progressive Feature Transmission for Split Inference at the Wireless Edge. CoRR abs/2112.07244 (2021) - 2020
- [c1]Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung:
Energy-Efficient Radio Resource Allocation for Federated Edge Learning. ICC Workshops 2020: 1-6 - [i3]Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung:
Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing. CoRR abs/2007.07122 (2020)
2010 – 2019
- 2019
- [i2]Qunsong Zeng, Yuqing Du, Kin K. Leung, Kaibin Huang:
Energy-Efficient Radio Resource Allocation for Federated Edge Learning. CoRR abs/1907.06040 (2019) - [i1]Dingzhu Wen, Xiaoyang Li, Qunsong Zeng, Jinke Ren, Kaibin Huang:
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning. CoRR abs/1911.03878 (2019)
Coauthor Index
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