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pro vyhledávání: '"Zhang,Qiong"'
Lift and drag forces on moving intruders in granular materials are of fundamental interest. While the drag force on an intruder in granular flow has been studied, the few studies characterizing the lift force explore a relatively limited range of par
Externí odkaz:
http://arxiv.org/abs/2409.19408
Autor:
Zhang, Qiong, Chen, Jiahua
This paper proposes two split-and-conquer (SC) learning estimators for finite mixture models that are tolerant to Byzantine failures. In SC learning, individual machines obtain local estimates, which are then transmitted to a central server for aggre
Externí odkaz:
http://arxiv.org/abs/2407.13980
With the extensive use of digital devices, online experimental platforms are commonly used to conduct experiments to collect data for evaluating different variations of products, algorithms, and interface designs, a.k.a., A/B tests. In practice, mult
Externí odkaz:
http://arxiv.org/abs/2407.05400
In this paper, we analyze an abstract thermoelastic system, where the heat conduction follows the Cattaneo law. Zero becomes a spectrum point of the system operator when the coupling and thermal damping parameters of system satisfy specific condition
Externí odkaz:
http://arxiv.org/abs/2404.13689
Autor:
Lu, Qihong, Nguyen, Tan T., Zhang, Qiong, Hasson, Uri, Griffiths, Thomas L., Zacks, Jeffrey M., Gershman, Samuel J., Norman, Kenneth A.
It has been proposed that, when processing a stream of events, humans divide their experiences in terms of inferred latent causes (LCs) to support context-dependent learning. However, when shared structure is present across contexts, it is still uncl
Externí odkaz:
http://arxiv.org/abs/2312.08519
Autor:
Binz, Marcel, Alaniz, Stephan, Roskies, Adina, Aczel, Balazs, Bergstrom, Carl T., Allen, Colin, Schad, Daniel, Wulff, Dirk, West, Jevin D., Zhang, Qiong, Shiffrin, Richard M., Gershman, Samuel J., Popov, Ven, Bender, Emily M., Marelli, Marco, Botvinick, Matthew M., Akata, Zeynep, Schulz, Eric
Large language models (LLMs) are being increasingly incorporated into scientific workflows. However, we have yet to fully grasp the implications of this integration. How should the advent of large language models affect the practice of science? For t
Externí odkaz:
http://arxiv.org/abs/2312.03759
This paper studies the stability of an abstract thermoelastic system with Cattaneo's law, which describes finite heat propagation speed in a medium. We introduce a region of parameters containing coupling, thermal dissipation, and possible inertial c
Externí odkaz:
http://arxiv.org/abs/2310.00988
Autor:
Zhang, Qiong
A/B testing is an effective way to assess the potential impacts of two treatments. For A/B tests conducted by IT companies, the test users of A/B testing are often connected and form a social network. The responses of A/B testing can be related to th
Externí odkaz:
http://arxiv.org/abs/2309.08797
Publikováno v:
口腔疾病防治, Vol 32, Iss 10, Pp 772-779 (2024)
Objective To investigate the clinical characteristics and prognosis of crown fractures in immature permanent incisors due to trauma, and identify factors affecting their prognosisto provide a reference for clinical treatment. Methods This study was a
Externí odkaz:
https://doaj.org/article/c762988e339e41f89bf1a9f47c827b78
Federated learning (FL) is a trending distributed learning framework that enables collaborative model training without data sharing. Machine learning models trained on datasets can potentially expose the private information of the training data, reve
Externí odkaz:
http://arxiv.org/abs/2306.02216