胡棋昱同学，于2018年获浙江大学信息工程学士学位，2023年获浙江大学信息与通信工程博士学位。

获得国家奖学金、研究生电子设计竞赛全国三等奖、浙江大学优秀博士学位论文、校级优秀毕业生、浙江大学国睿奖学金、中电莱斯奖学金、月轮奖学金、学业一等奖学金、优秀研究生、三好研究生、优秀团员等奖学金和荣誉称号，并获得国家留学基金委奖学金前往英国联合培养一年。

参与实验室多项科研项目，包括基于预编码技术的认知频谱重用、基于压缩感知和超分辨率的多频段协同定位、混合预编码架构下的多小区协同技术研究等。研究方向包括基于模型驱动网络的物理层通信系统设计、基于深度学习的语义通信系统设计、无人机通信、随机优化等。

代表学术成果：

1. Q. Hu, Y. Cai, G. Yu, Z. Qin, M. Zhao, G. Y. Li, “Joint offloading and trajectory design for UAV-enabled mobile edge computing systems,” IEEE Internet Things J., vol. 6, no. 2, pp. 1879–1892, Apr. 2019. （ESI高被引论文）

2. Q. Hu, Y. Cai, A. Liu, G. Yu, G. Y. Li, “Low-complexity joint resource allocation and trajectory design for UAV-aided relay networks with the segmented ray-tracing channel model,” IEEE Trans. Wireless Commun., vol. 19, no. 9, pp. 6179–6195, Sep. 2020.

3. Q. Hu, Y. Cai, Q. Shi, K. Xu, G. Yu, Z. Ding, “Iterative algorithm induced deep-unfolding neural networks: Precoding design for multiuser MIMO systems,” IEEE Trans. Wireless Commun., vol. 20, no. 2, pp. 1394–1410, Feb. 2021.

4. Q. Hu, Y. Liu, Y. Cai, G. Yu, Z. Ding, “Joint deep reinforcement learning and unfolding: Beam selection and precoding for mmWave multiuser MIMO with lens arrays,” IEEE J. Sel. Areas Commun., vol. 39, no. 8, pp. 2289–2304, Aug. 2021.

5. Q. Hu, Y. Cai, K. Kang, G. Yu, J. Hoydis, Y. C. Eldar, “Two-timescale end-to-end learning for channel acquisition and hybrid precoding,” IEEE J. Sel. Areas Commun., vol. 40, no. 1, pp. 163-181, Jan. 2022.

6. Q. Hu, S. Shi, Y. Cai, G. Yu, “DDPG-driven deep-unfolding with adaptive depth for channel estimation with sparse Bayesian learning,” IEEE Trans. Signal Process., vol. 70, pp. 4665-4680, Sep. 2022.

7. Q. Hu, G. Zhang, Z. Qin, Y. Cai, G. Yu, and G. Y. Li, “Robust semantic communications with masked VQ-VAE enabled codebook,” IEEE Trans. Wireless Commun., vol. 22, no. 12, pp. 8707–8722, Dec. 2023.