| Energy-efficient radio resource allocation for federated edge learning Q Zeng, Y Du, K Huang, KK Leung 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 286 | 2020 |
| What is semantic communication? A view on conveying meaning in the era of machine intelligence Q Lan, D Wen, Z Zhang, Q Zeng, X Chen, P Popovski, K Huang Journal of Communications and Information Networks 6 (4), 336-371, 2021 | 212 | 2021 |
| Energy-efficient resource management for federated edge learning with CPU-GPU heterogeneous computing Q Zeng, Y Du, K Huang, KK Leung IEEE Transactions on Wireless Communications 20 (12), 7947-7962, 2021 | 164 | 2021 |
| Wireless data acquisition for edge learning: Data-importance aware retransmission D Liu, G Zhu, Q Zeng, J Zhang, K Huang IEEE transactions on wireless communications 20 (1), 406-420, 2020 | 55 | 2020 |
| Wirelessly powered federated edge learning: Optimal tradeoffs between convergence and power transfer Q Zeng, Y Du, K Huang IEEE Transactions on Wireless Communications 21 (1), 680-695, 2021 | 40 | 2021 |
| Pressure-induced topological phase transitions and structural transition in 1T-TiTe2 single crystal M Zhang, X Wang, A Rahman, Q Zeng, D Huang, R Dai, Z Wang, Z Zhang Applied Physics Letters 112 (4), 2018 | 38 | 2018 |
| Progressive feature transmission for split classification at the wireless edge Q Lan, Q Zeng, P Popovski, D Gündüz, K Huang IEEE Transactions on Wireless Communications 22 (6), 3837-3852, 2022 | 36 | 2022 |
| An overview of data-importance aware radio resource management for edge machine learning D Wen, X Li, Q Zeng, J Ren, K Huang Journal of Communications and Information Networks 4 (4), 1-14, 2019 | 26 | 2019 |
| Progressive feature transmission for split inference at the wireless edge Q Lan, Q Zeng, P Popovski, D Gündüz, K Huang arXiv preprint arXiv:2112.07244, 2021 | 10 | 2021 |
| Adaptive compressed sensing for real-time video compression, transmission, and reconstruction Y Zhao, Q Zeng, EY Lam 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 9 | 2023 |
| Realizing In-Memory Baseband Processing for Ultra-Fast and Energy-Efficient 6G Q Zeng, J Liu, M Jiang, J Lan, Y Gong, Z Wang, Y Li, C Li, J Ignowski, ... IEEE Internet of Things Journal, 2023 | 7 | 2023 |
| Communication-Efficient Vertically Split Inference via Over-the-Air Computation P Yang, D Wen, Q Zeng, T Wang, Y Shi 2023 IEEE 24th International Workshop on Signal Processing Advances in …, 2023 | 6 | 2023 |
| Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting H Wu, Q Zeng, K Huang IEEE Transactions on Wireless Communications, 2024 | 5 | 2024 |
| Towards Atomic MIMO Receivers M Cui, Q Zeng, K Huang arXiv preprint arXiv:2404.04864, 2024 | 4 | 2024 |
| InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization Z Hu, S Kang, Q Zeng, K Huang, Y Yang arXiv preprint arXiv:2402.10158, 2024 | 3 | 2024 |
| Realizing ultra-fast and energy-efficient baseband processing using analogue resistive switching memory Q Zeng, J Liu, J Lan, Y Gong, Z Wang, Y Li, K Huang arXiv preprint arXiv:2205.03561, 2022 | 3 | 2022 |
| MIMO precoding for Rydberg atomic receivers M Cui, Q Zeng, K Huang arXiv preprint arXiv:2408.14366, 2024 | 2 | 2024 |
| Wirelessly powered federated edge learning Q Zeng, Y Du, K Huang 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 2 | 2021 |
| Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence Q Zeng, Z Wang, Y Zhou, H Wu, L Yang, K Huang IEEE Transactions on Communications, 2024 | 1 | 2024 |
| IQ-aware precoding for atomic MIMO receivers M Cui, Q Zeng, K Huang arXiv e-prints, arXiv: 2408.14366, 2024 | 1 | 2024 |
