Zobrazeno 1 - 10
of 4 660
pro vyhledávání: '"ZHANG, JIAQI"'
Autor:
Zhang, Han, Zhang, Jiaqi, Zhou, Yuxiang, Louie, Ryan, Kim, Taewook, Guo, Qingyu, Li, Shuailin, Peng, Zhenhui
Support-seekers' self-disclosure of their suffering experiences, thoughts, and feelings in the post can help them get needed peer support in online mental health communities (OMHCs). However, such mental health self-disclosure could be challenging. I
Externí odkaz:
http://arxiv.org/abs/2409.14859
Autor:
Wagner, Martin W., Domburg, Freek, Krüger, Carsten, Meyer, Jens, Zhang, Jiaqi, Ramesh, Prashanth, Maass, Corinna C.
Magnetotaxis is a well known phenomenon in swimming microorganisms which sense magnetic fields e.g. by incorporating crystalline magnetosomes. In designing artificial active matter with tunable dynamics, external magnetic fields can provide a versati
Externí odkaz:
http://arxiv.org/abs/2409.14558
The paper establishes the exponential turnpike property for a class of mean-field stochastic linear-quadratic (LQ) optimal control problems with periodic coefficients. It first introduces the concepts of stability, stabilizability, and detectability
Externí odkaz:
http://arxiv.org/abs/2407.17926
Many questions in science center around the fundamental problem of understanding causal relationships. However, most constraint-based causal discovery algorithms, including the well-celebrated PC algorithm, often incur an exponential number of condit
Externí odkaz:
http://arxiv.org/abs/2406.01823
Multi-modality spatio-temporal (MoST) data extends spatio-temporal (ST) data by incorporating multiple modalities, which is prevalent in monitoring systems, encompassing diverse traffic demands and air quality assessments. Despite significant strides
Externí odkaz:
http://arxiv.org/abs/2405.03255
Understanding causal relationships between variables is a fundamental problem with broad impact in numerous scientific fields. While extensive research has been dedicated to learning causal graphs from data, its complementary concept of testing causa
Externí odkaz:
http://arxiv.org/abs/2403.05759
Autor:
Zhang, Jiaqi
In this work, we develop an interface-preserving level-set method in the finite-element framework for interfacial flows with moving contact lines. In our method, the contact line is advected naturally by the flow field. Contact angle hysteresis can b
Externí odkaz:
http://hdl.handle.net/10919/99058
In this paper, we investigate the tumor instability by employing both analytical and numerical techniques to validate previous results and extend the analytical findings presented in a prior study by Feng et al 2023. Building upon the insights derive
Externí odkaz:
http://arxiv.org/abs/2401.04954
Autor:
Luo, Jinglong, Zhang, Yehong, Zhang, Zhuo, Zhang, Jiaqi, Mu, Xin, Wang, Hui, Yu, Yue, Xu, Zenglin
With the growing use of large language models hosted on cloud platforms to offer inference services, privacy concerns are escalating, especially concerning sensitive data like investment plans and bank account details. Secure Multi-Party Computing (S
Externí odkaz:
http://arxiv.org/abs/2401.00793
Learning causal structures from interventional data is a fundamental problem with broad applications across various fields. While many previous works have focused on recovering the entire causal graph, in practice, there are scenarios where learning
Externí odkaz:
http://arxiv.org/abs/2310.20075