Learning Proximal Operator Methods for Massive Connectivity in IoT Networks. - Yinan Zou; Yong Zhou 006; Yuanming Shi; Xu Chen 004 (GLOBECOM, 2021)

Optimal Receive Beamforming for Over-the-Air Computation. - Wenzhi Fang; Yinan Zou; Hongbin Zhu; Yuanming Shi; Yong Zhou 006 (SPAWC, 2021)

Gan-Based Joint Activity Detection and Channel Estimation for Grant-Free Random Access. - Shuang Liang; Yinan Zou; Yong Zhou 006 (ICASSP, 2022)

Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning. - Yinan Zou; Zixin Wang; Xu Chen 004; Haibo Zhou; Yong Zhou 006 (IEEE Trans. Wirel. Commun., 2023)

A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning. - Zixin Wang; Yong Zhou 006; Yinan Zou; Qiaochu An; Yuanming Shi; Mehdi Bennis (IEEE Trans. Wirel. Commun., 2023)

Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks. - Yinan Zou; Yong Zhou 006; Xu Chen 004; Yonina C. Eldar (IEEE Trans. Wirel. Commun., 2024)

Can Multimodal Large Language Models Understand Spatial Relations? - Jingping Liu; Ziyan Liu; Zhedong Cen; Yan Zhou; Yinan Zou; Weiyan Zhang; Haiyun Jiang; Tong Ruan (ACL (1), 2025)

Communication-Efficient Cooperative Localization: A Graph Neural Network Approach. - Yinan Zou; Christopher G. Brinton; Vishrant Tripathi (WiOpt, 2025)