no code implementations • 3 Jun 2024 • Yuning Zhang, Thomas Choi, Zihang Cheng, Jorge Gomez-Ponce, Issei Kanno, Masaaki Ito, Andreas F. Molisch
Cell-free massive MIMO (CF-mMIMO), where each user equipment (UE) is connected to multiple access points (APs), is emerging as an important component for 5G and 6G cellular systems.
no code implementations • 31 May 2024 • Yuning Zhang, Thomas Choi, Zihang Cheng, Issei Kanno, Masaaki Ito, Jorge Gomez-Ponce, Hussein Hammoud, BoWei Wu, Ashwani Pradhan, Kelvin Arana, Pramod Krishna, Tianyi Yang, Tyler Chen, Ishita Vasishtha, Haoyu Xie, Linyu Sun, Andreas F. Molisch
The design of cell-free massive MIMO (CF-mMIMO) systems requires accurate, measurement-based channel models.
no code implementations • 25 Dec 2023 • Peng Ye, Chenyu Huang, Mingzhu Shen, Tao Chen, Yongqi Huang, Yuning Zhang, Wanli Ouyang
This work targets to merge various Vision Transformers (ViTs) trained on different tasks (i. e., datasets with different object categories) or domains (i. e., datasets with the same categories but different environments) into one unified model, yielding still good performance on each task or domain.
no code implementations • 30 May 2023 • Yuning Zhang, Aditya Deshmukh, K. W. Wang
The recent advances in autonomous systems have prompted a strong demand for the next generation of adaptive structures and materials to possess more built-in intelligence in their mechanical domain, the so-called mechano-intelligence (MI).
1 code implementation • 26 Jul 2017 • Yuning Zhang, Maysam Haghdan, Kevin S. Xu
In this paper, we demonstrate that unsupervised learning algorithms perform competitively with supervised algorithms for detecting MAs on EDA data collected in both a lab-based setting and a real-world setting comprising about 23 hours of data.