Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Cheng, Hei Victor"'
This work addresses the challenge of achieving zero-shot adversarial robustness while preserving zero-shot generalization in large-scale foundation models, with a focus on the popular Contrastive Language-Image Pre-training (CLIP). Although foundatio
Externí odkaz:
http://arxiv.org/abs/2405.17678
Publikováno v:
IEEE Journal on Selected Areas in Communications 2024
Fractional programming (FP) arises in various communications and signal processing problems because several key quantities in the field are fractionally structured, e.g., the Cram\'{e}r-Rao bound, the Fisher information, and the signal-to-interferenc
Externí odkaz:
http://arxiv.org/abs/2312.05726
Transmitting data using the phases on reconfigurable intelligent surfaces (RIS) is a promising solution for future energy-efficient communication systems. Recent work showed that a virtual phased massive multiuser multiple-input-multiple-out (MIMO) t
Externí odkaz:
http://arxiv.org/abs/2310.16347
Autor:
You, Lei, Cheng, Hei Victor
This study addresses the challenge of inaccurate gradients in computing the empirical Fisher Information Matrix during neural network pruning. We introduce SWAP, a formulation of Entropic Wasserstein regression (EWR) for pruning, capitalizing on the
Externí odkaz:
http://arxiv.org/abs/2310.04918
Speech-to-face generation is an intriguing area of research that focuses on generating realistic facial images based on a speaker's audio speech. However, state-of-the-art methods employing GAN-based architectures lack stability and cannot generate r
Externí odkaz:
http://arxiv.org/abs/2310.03363
This paper compares the sum rates and rate regions achieved by power-domain NOMA (non-orthogonal multiple access) and standard massive MIMO (multiple-input multiple-output) techniques. We prove analytically that massive MIMO always outperforms NOMA i
Externí odkaz:
http://arxiv.org/abs/2112.15493
Autor:
Cheng, Hei Victor, Yu, Wei
Publikováno v:
IEEE Transactions on Information Theory ( Volume: 70, Issue: 1, Pages 170-188, January 2024)
This paper investigates the information theoretic limit of a reconfigurable intelligent surface (RIS) aided communication scenario in which the RIS and the transmitter either jointly or independently send information to the receiver. The RIS is an em
Externí odkaz:
http://arxiv.org/abs/2112.13787
This paper studies the transmit power optimization in multi-cell massive multiple-input multiple-output (MIMO) systems. Network-wide max-min fairness (NW-MMF) and network-wide proportional fairness (NW-PF) are two well-known power control schemes in
Externí odkaz:
http://arxiv.org/abs/2105.10503
This paper studies the transmit power optimization in a multi-cell massive multiple-input multiple-output (MIMO) system. To overcome the scalability issue of network-wide max-min fairness (NW-MMF), we propose a novel power control (PC) scheme. This s
Externí odkaz:
http://arxiv.org/abs/2105.10307
A major challenge in Fine-Grained Visual Classification (FGVC) is distinguishing various categories with high inter-class similarity by learning the feature that differentiate the details. Conventional cross entropy trained Convolutional Neural Netwo
Externí odkaz:
http://arxiv.org/abs/2011.10951