| Machine learning for large-scale optimization in 6g wireless networks Y Shi, L Lian, Y Shi, Z Wang, Y Zhou, L Fu, L Bai, J Zhang, W Zhang IEEE Communications Surveys & Tutorials, 2023 | 40 | 2023 |
| Over-the-air decentralized federated learning Y Shi, Y Zhou, Y Shi 2021 IEEE International Symposium on Information Theory (ISIT), 455-460, 2021 | 38 | 2021 |
| Algorithm unrolling for massive access via deep neural networks with theoretical guarantee Y Shi, H Choi, Y Shi, Y Zhou IEEE Transactions on Wireless Communications 21 (2), 945-959, 2021 | 27 | 2021 |
| Sparse signal processing for massive device connectivity via deep learning Y Shi, S Xia, Y Zhou, Y Shi 2020 IEEE international conference on communications workshops (ICC …, 2020 | 16 | 2020 |
| Learning to branch-and-bound for header-free communications Y Shi, Y Shi 2019 IEEE Globecom Workshops (GC Wkshps), 1-6, 2019 | 5 | 2019 |
| Capacity region of intelligent reflecting surface aided wireless networks via active learning Y Shi, M Fu, Y Zhou, Y Shi 2021 IEEE Global Communications Conference (GLOBECOM), 01-06, 2021 | 1 | 2021 |
