Zobrazeno 1 - 10
of 5 108
pro vyhledávání: '"An, Jiajin"'
Autor:
Jiao, Haole, Wang, Minjie, Lu, Jiajin, Sun, Can, Yang, Zhifang, Xi, Mengqi, Li, Shujing, Wang, Hai
The non-reciprocal (unidirectional) atom-photon couplings are crucial for modern photonics ranging from chiral quantum networks to cold-atom many-body physics. In the presented experiment, we demonstrated unidirectional Raman emission of Stokes photo
Externí odkaz:
http://arxiv.org/abs/2412.13433
This work proposes a unified framework for efficient estimation under latent space modeling of heterogeneous networks. We consider a class of latent space models that decompose latent vectors into shared and network-specific components across network
Externí odkaz:
http://arxiv.org/abs/2412.02151
Quantum many-body scars are rare eigenstates hidden within the chaotic spectra of many-body systems, representing a weak violation of the eigenstate thermalization hypothesis (ETH). Identifying these scars, as well as other non-thermal states in comp
Externí odkaz:
http://arxiv.org/abs/2409.07405
Unsupervised 3D instance segmentation aims to segment objects from a 3D point cloud without any annotations. Existing methods face the challenge of either too loose or too tight clustering, leading to under-segmentation or over-segmentation. To addre
Externí odkaz:
http://arxiv.org/abs/2407.10084
Autor:
Song, Xinrui, Zhang, Jiajin, Yan, Pingkun, Hahn, Juergen, Kruger, Uwe, Mohamed, Hisham, Wang, Ge
The integration of artificial intelligence (AI) chatbots into higher education marks a shift towards a new generation of pedagogical tools, mirroring the arrival of milestones like the internet. With the launch of ChatGPT-4 Turbo in November 2023, we
Externí odkaz:
http://arxiv.org/abs/2407.05810
Accurate prediction of Cardiovascular disease (CVD) risk in medical imaging is central to effective patient health management. Previous studies have demonstrated that imaging features in computed tomography (CT) can help predict CVD risk. However, CT
Externí odkaz:
http://arxiv.org/abs/2405.18533
In medical image analysis, the expertise scarcity and the high cost of data annotation limits the development of large artificial intelligence models. This paper investigates the potential of transfer learning with pre-trained vision-language models
Externí odkaz:
http://arxiv.org/abs/2405.15728
The performance of learning models often deteriorates when deployed in out-of-sample environments. To ensure reliable deployment, we propose a stability evaluation criterion based on distributional perturbations. Conceptually, our stability evaluatio
Externí odkaz:
http://arxiv.org/abs/2405.03198
Despite the considerable success of Bregman proximal-type algorithms, such as mirror descent, in machine learning, a critical question remains: Can existing stationarity measures, often based on Bregman divergence, reliably distinguish between statio
Externí odkaz:
http://arxiv.org/abs/2404.08073
In this study, we investigate the robust feedback stability problem for multiple-input-multiple-output linear time-invariant systems involving sectored-disk uncertainty, namely, dynamic uncertainty subject to simultaneous gain and phase constraints.
Externí odkaz:
http://arxiv.org/abs/2404.05609