Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Xinyuan Chang"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Microbially-synthesized protein-based materials are attractive replacements for petroleum-derived synthetic polymers. However, the high molecular weight, high repetitiveness, and highly-biased amino acid composition of high-performance prote
Externí odkaz:
https://doaj.org/article/bb4d7976d9384fb991da2ec5a8e091b9
Autor:
Christopher H. Bowen, Cameron J. Sargent, Ao Wang, Yaguang Zhu, Xinyuan Chang, Jingyao Li, Xinyue Mu, Jonathan M. Galazka, Young-Shin Jun, Sinan Keten, Fuzhong Zhang
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Here, the authors engineer microbial production of muscle titin fibers with highly desirable mechanical properties and provide structural analyses that explain the molecular mechanisms underlying high performance of this polymer with potential uses i
Externí odkaz:
https://doaj.org/article/fcec6bb599ba4980838112abffb375bc
Autor:
Xinyuan Chang
Publikováno v:
Highlights in Science, Engineering and Technology. 32:32-42
In this information era of high-speed Internet development, the volume of information has grown exponentially along with the expansion in Internet usage by the general people and the steady strengthening of business and institutional information tech
Publikováno v:
Sustainability; Volume 15; Issue 14; Pages: 10790
This study used the coordinated development of the regional economy and ecological environment in the Yellow River basin as the research object and selected 13 indicators representing the regional economic subsystem that reflect economic scale, econo
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 32:4404-4418
The human visual system can recognize object categories accurately and efficiently and is robust to complex textures and noises. To mimic the analogy-detail dual-pathway human visual cognitive mechanism revealed in recent cognitive science studies, i
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:1255-1263
In this paper, we focus on the challenging few-shot class incremental learning (FSCIL) problem, which requires to transfer knowledge from old tasks to new ones and solves catastrophic forgetting. We propose the exemplar relation distillation incremen
Publikováno v:
LAK22: 12th International Learning Analytics and Knowledge Conference.
Publikováno v:
AAAI
In this paper, we propose a novel single-task continual learning framework named Bi-Objective Continual Learning (BOCL). BOCL aims at both consolidating historical knowledge and learning from new data. On one hand, we propose to preserve the old know
Autor:
Weiping Yang, Pengkun Xu, Juncheng Zhang, Shuo Zhang, Zhenwei Li, Ke Yang, Xinyuan Chang, Yibo Li
Publikováno v:
Journal of genetics and genomics = Yi chuan xue bao. 49(5)
Grain chalkiness, an undesirable trait caused by complex factors, has great negative impacts on the quality and economic value of rice. However, little is known about the regulatory mechanism of grain chalkiness, particularly the effect of endoplasmi
Publikováno v:
Pattern Recognition. 94:207-217
Numerous methods have been proposed for person re-identification (Re-ID) with promising performances. While most of them neglect the matching efficiency which is crucial in real-world applications. Recently, several hashing based approaches have been