Publications
Working Papers
Physical layer foundation models for ultra-massive MIMO systems
Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Lizhong Zheng, Khaled B. Letaief
IEEE Transactions on Wireless Communications, in preparation, 2025.
Journal
Sensing for free: Learn to localize more sources than antennas without pilots
Wentao Yu, Khaled B. Letaief, Lizhong Zheng
IEEE Journal on Selected Areas in Communications, under review, Jun. 2025.
AI and deep learning for THz ultra-massive MIMO: From model-driven approaches to foundation models (invited paper) [arxiv]
Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Linglong Dai, Lizhong Zheng, Khaled B. Letaief
Engineering, under major revision, Dec. 2024. (IF=11.6, flagship journal of the Chinese Academy of Engineering)
Deep learning for near-field XL-MIMO transceiver design: Principles and techniques [paper][arxiv]
Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
IEEE Communications Magazine, vol. 63, no. 1, pp. 52-58, Jan. 2025.
Bayes-optimal unsupervised learning for channel estimation in near-field holographic MIMO [paper][arxiv]
Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross Murch, Khaled B. Letaief
IEEE Journal of Selected Topics in Signal Processing, vol. 18, no. 4, pp. 714-729, May 2024.
(Popular Article of IEEE JSTSP)
An adaptive and robust deep learning framework for THz ultra-massive MIMO channel estimation [paper][arxiv][code][webinar][blog (in Chinese)]
Wentao Yu, Yifei Shen, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
IEEE Journal of Selected Topics in Signal Processing, vol. 17, no. 4, pp. 761-776, Jul. 2023.
(IEEE Signal Processing Society's Annual Top 25 Downloaded Articles from Sept. 2023 to Sept. 2024)
Multi-label learning based antenna selection in massive MIMO systems [paper]
Wentao Yu, Tianyu Wang, Shaowei Wang
IEEE Transactions on Vehicular Technology, vol. 70, no. 7, pp. 7255-7260, Jul. 2021.
Conference
Multimodal deep learning-empowered beam prediction in future THz ISAC systems (invited paper) [arxiv]
Kai Zhang, Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief
in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Turkey, Sept. 2025.
Learning Bayes-optimal channel estimation for holographic MIMO in unknown EM environments [paper][arxiv]
Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Ross Murch, Khaled B. Letaief
in Proc. IEEE International Conference on Communications (ICC), Denver, CO, USA, Jun. 2024.
Lightweight and flexible Deep equilibrium learning for CSI feedback in FDD massive MIMO [paper][arxiv]
Yifan Ma, Wentao Yu, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief
in Proc. IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Stockholm, Sweden, May 2024.
Newtonized near-field channel estimation for ultra-massive MIMO systems [paper]
Ruoxiao Cao, Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Yi Gong, Khaled B. Letaief
in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Dubai, UAE, Apr. 2024.
Task-oriented communication with out-of-distribution detection: An information bottleneck framework [paper][arxiv]
Hongru Li, Wentao Yu, Hengtao He, Jiawei Shao, Shenghui Song, Jun Zhang, Khaled B. Letaief
in Proc. IEEE Global Communications Conference (Globecom), Kuala Lumpur, Malaysia, Dec. 2023.
Blind performance prediction for deep learning based ultra-massive MIMO channel estimation [paper][arxiv]
Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
in Proc. IEEE International Conference on Communications (ICC), Rome, Italy, May-Jun. 2023.
Hybrid far- and near-field channel estimation for THz ultra-massive MIMO via fixed point networks [paper][arxiv]
Wentao Yu, Hengtao He, Xianghao Yu, Shenghui Song, Jun Zhang, Khaled B. Letaief
in Proc. IEEE Global Communications Conference (Globecom), Rio de Janeiro, Brazil, Dec. 2022.
Inter-slice radio resource management via online convex optimization [paper]
Tianyu Wang, Wentao Yu, Shaowei Wang
in Proc. IEEE International Conference on Communications (ICC), Montreal, QC, Canada, Jun. 2021.
|