Zobrazeno 1 - 10
of 452
pro vyhledávání: '"LI Haowei"'
Publikováno v:
Nanophotonics, Vol 13, Iss 17, Pp 3059-3066 (2024)
Wide-angle metalenses in the longwave infrared have shown great advantages over the traditional refractive doublets or triplets, due to light weight, CMOS compatibility, and low cost. However, previous endeavors have been plagued by challenges includ
Externí odkaz:
https://doaj.org/article/d31501b9e4fa4b73ba8fbd7123adbe1e
Federated learning (FL) is a decentralized approach, enabling multiple participants to collaboratively train a model while ensuring the protection of data privacy. The transmission of updates from numerous edge clusters to the server creates a signif
Externí odkaz:
http://arxiv.org/abs/2408.08977
The rapid development of multimedia has provided a large amount of data with different distributions for visual tasks, forming different domains. Federated Learning (FL) can efficiently use this diverse data distributed on different client media in a
Externí odkaz:
http://arxiv.org/abs/2407.19174
Model quantization is widely used to compress and accelerate deep neural networks. However, recent studies have revealed the feasibility of weaponizing model quantization via implanting quantization-conditioned backdoors (QCBs). These special backdoo
Externí odkaz:
http://arxiv.org/abs/2405.12725
We study the superradiant phase transition of an array of Rydberg atoms in a dissipative microwave cavity. Under the interplay of the cavity field and the long-range Rydberg interaction, the steady state of the system exhibits an interaction-enhanced
Externí odkaz:
http://arxiv.org/abs/2405.01945
Autor:
Liu, Yihao, Zhang, Jiaming, Diaz-Pinto, Andres, Li, Haowei, Martin-Gomez, Alejandro, Kheradmand, Amir, Armand, Mehran
The Segment Anything Model (SAM) has drawn significant attention from researchers who work on medical image segmentation because of its generalizability. However, researchers have found that SAM may have limited performance on medical images compared
Externí odkaz:
http://arxiv.org/abs/2403.18114
Autor:
Li, Haowei, Yan, Wenqing, Zhao, Jiasheng, Ji, Yuqi, Qian, Long, Ding, Hui, Zhao, Zhe, Wang, Guangzhi
Purpose: Biopsies play a crucial role in determining the classification and staging of tumors. Ultrasound is frequently used in this procedure to provide real-time anatomical information. Using augmented reality (AR), surgeons can visualize ultrasoun
Externí odkaz:
http://arxiv.org/abs/2402.02414
Publikováno v:
Phys. Rev. Research 6, L042046 (2024)
We study the collective response of a group of dissipative Rydberg atoms to a periodic modulation of the Rydberg excitation laser. Focusing on the emergent collective-jump dynamics, where the system stochastically switches between states with distinc
Externí odkaz:
http://arxiv.org/abs/2401.16894
Visual geolocalization is a cost-effective and scalable task that involves matching one or more query images, taken at some unknown location, to a set of geo-tagged reference images. Existing methods, devoted to semantic features representation, evol
Externí odkaz:
http://arxiv.org/abs/2311.11604
Autor:
Li, Haowei, Yan, Wenqing, Liu, Du, Qian, Long, Yang, Yuxing, Liu, Yihao, Zhao, Zhe, Ding, Hui, Wang, Guangzhi
Augmented Reality (AR) has been used to facilitate surgical guidance during External Ventricular Drain (EVD) surgery, reducing the risks of misplacement in manual operations. During this procedure, the key challenge is accurately estimating the spati
Externí odkaz:
http://arxiv.org/abs/2306.15490