Zobrazeno 1 - 10
of 326
pro vyhledávání: '"WANG Tianze"'
Publikováno v:
Xin yixue, Vol 55, Iss 6, Pp 430-436 (2024)
Objective To evaluate the impact of atypical sensory response patterns on the development of initiating joint attention （IJA） abilities in toddlers， further exploring the early developmental mechanisms of autism spectrum disorder （ASD）. Met
Externí odkaz:
https://doaj.org/article/9f4cdfe48c0d46c69d3c32b1134a61bf
Autor:
Ennadir, Sofiane, Gandler, Gabriela Zarzar, Cornell, Filip, Cao, Lele, Smirnov, Oleg, Wang, Tianze, Zólyomi, Levente, Brinne, Björn, Asadi, Sahar
Graphs are ubiquitous in real-world applications, ranging from social networks to biological systems, and have inspired the development of Graph Neural Networks (GNNs) for learning expressive representations. While most research has centered on stati
Externí odkaz:
http://arxiv.org/abs/2412.03783
Autor:
Wang, Tianze, Honari-Jahromi, Maryam, Katsarou, Styliani, Mikheeva, Olga, Panagiotakopoulos, Theodoros, Smirnov, Oleg, Cao, Lele, Asadi, Sahar
This pilot study explores the application of language models (LMs) to model game event sequences, treating them as a customized natural language. We investigate a popular mobile game, transforming raw event data into textual sequences and pretraining
Externí odkaz:
http://arxiv.org/abs/2410.18605
Autor:
Xia, Peng, Zhu, Kangyu, Li, Haoran, Wang, Tianze, Shi, Weijia, Wang, Sheng, Zhang, Linjun, Zou, James, Yao, Huaxiu
Artificial Intelligence (AI) has demonstrated significant potential in healthcare, particularly in disease diagnosis and treatment planning. Recent progress in Medical Large Vision-Language Models (Med-LVLMs) has opened up new possibilities for inter
Externí odkaz:
http://arxiv.org/abs/2410.13085
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 1, Pp 38-46 (2021)
【Background】Intensive facility agriculture production could densify soil and create hypoxia, thereby toxifying roots and ultimately leading to yield reduction. Aerating subsurface drip irrigation can oxygenate subsoil and improve soil ventilation
Externí odkaz:
https://doaj.org/article/36408bc2320a43b19947e3c00ec0eb35
Publikováno v:
Open Mathematics, Vol 17, Iss 1, Pp 544-555 (2019)
Suppose that λ1, λ2, λ3, λ4, λ5 are nonzero real numbers, not all of the same sign, λ1/λ2 is irrational, λ2/λ4 and λ3/λ5 are rational. Let η real, and ε > 0. Then there are infinitely many solutions in primes pj to the inequality |λ1p1+
Externí odkaz:
https://doaj.org/article/c0c7017a377b4acfacabab3161271ed2
Autor:
Wang, Tianze, Honari-Jahromi, Maryam, Katsarou, Styliani, Mikheeva, Olga, Panagiotakopoulos, Theodoros, Asadi, Sahar, Smirnov, Oleg
Methods for learning latent user representations from historical behavior logs have gained traction for recommendation tasks in e-commerce, content streaming, and other settings. However, this area still remains relatively underexplored in video and
Externí odkaz:
http://arxiv.org/abs/2404.04234
Publikováno v:
E3S Web of Conferences, Vol 78, p 03007 (2019)
In order to fulfill rapid and trace detection of heavy metals, in the study, gold-nanoparticlesgraphene modified glass carbon electrodes were used to detect lead(Pb(II)) ions. The lead ion (Pb(II)) standard sample in acetic acid-sodium acetate buffer
Externí odkaz:
https://doaj.org/article/d3cb31153f144ffeafaaa4481a0ce8da
Autor:
Wang Tianze, Lin Dongdai
Publikováno v:
Journal of Mathematical Cryptology, Vol 7, Iss 1, Pp 69-95 (2013)
As one of the most fundamental problems in multivariate public key cryptosystems (MPKC), Isomorphism of Polynomial (IP) induces an equivalence relation on the polynomials systems. The enumeration problem associated to IP consists of counting the numb
Externí odkaz:
https://doaj.org/article/2b6239d5c2b548ba94b3b027e96deca5
Autor:
Wang, Guanyang, Wang, Tianze
Constructing unbiased estimators from Markov chain Monte Carlo (MCMC) outputs is a difficult problem that has recently received a lot of attention in the statistics and machine learning communities. However, the current unbiased MCMC framework only w
Externí odkaz:
http://arxiv.org/abs/2204.04808