Zobrazeno 1 - 10
of 498
pro vyhledávání: '"Shao, Qun"'
Identifying gene splicing is a core and significant task confronted in modern collaboration between artificial intelligence and bioinformatics. Past decades have witnessed great efforts on this concern, such as the bio-plausible splicing pattern AT-C
Externí odkaz:
http://arxiv.org/abs/2406.11900
Past decades have witnessed a great interest in the distinction and connection between neural network learning and kernel learning. Recent advancements have made theoretical progress in connecting infinite-wide neural networks and Gaussian processes.
Externí odkaz:
http://arxiv.org/abs/2403.17467
Recent years have witnessed a hot wave of deep neural networks in various domains; however, it is not yet well understood theoretically. A theoretical characterization of deep neural networks should point out their approximation ability and complexit
Externí odkaz:
http://arxiv.org/abs/2210.15279
Recent years have emerged a surge of interest in SNNs owing to their remarkable potential to handle time-dependent and event-driven data. The performance of SNNs hinges not only on selecting an apposite architecture and fine-tuning connection weights
Externí odkaz:
http://arxiv.org/abs/2207.04876
This work aims to provide an effective deep learning framework to predict the vector-soliton solutions of the coupled nonlinear equations and their interactions. The method we propose here is a physics-informed neural network (PINN) combining with th
Externí odkaz:
http://arxiv.org/abs/2205.10230
Autor:
Fei Teng, Dong Fu, Chen-Cheng Shi, An Xiong, Meng-Xuan Yang, Chang Su, Ming Lei, Yi-Ou Cao, Xiao-Dong Shen, Yi Chen, Pu-Hua Wang, Shao-Qun Liu
Publikováno v:
Materials Today Bio, Vol 25, Iss , Pp 100984- (2024)
Blunting the tumor's stress-sensing ability is an effective strategy for controlling tumor adaptive survival and metastasis. Here, we have designed a cyclically amplified nano-energy interference device based on lipid nanoparticles (LNP), focused on
Externí odkaz:
https://doaj.org/article/534ff562690d4fa084c829588f92d43a
Neural network models generally involve two important components, i.e., network architecture and neuron model. Although there are abundant studies about network architectures, only a few neuron models have been developed, such as the MP neuron model
Externí odkaz:
http://arxiv.org/abs/2111.06027
Autor:
Zhang, Shao-Qun, Zhou, Zhi-Hua
Mimicking and learning the long-term memory of efficient markets is a fundamental problem in the interaction between machine learning and financial economics to sequential data. Despite the prominence of this issue, current treatments either remain l
Externí odkaz:
http://arxiv.org/abs/2111.06222
Autor:
Shi, Jin-Xiong, Zhao, Xiang-Yuan, Zeng, Lian-Bo, Zhang, Yun-Zhao, Zhu, Zheng-Ping, Dong, Shao-Qun
Publikováno v:
In Petroleum Science June 2024 21(3):1632-1648