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of 355
pro vyhledávání: '"Yang, Guowu"'
Partial-label learning (PLL) relies on a key assumption that the true label of each training example must be in the candidate label set. This restrictive assumption may be violated in complex real-world scenarios, and thus the true label of some coll
Externí odkaz:
http://arxiv.org/abs/2307.00553
Publikováno v:
npj Quantum Information 8, 89 (2022)
In recent years there has been a growing interest in treating many-body systems as Bell scenarios, where lattice sites play the role of distant parties and only near-neighbor statistics are accessible. We investigate contextuality arising from three
Externí odkaz:
http://arxiv.org/abs/2112.11646
Publikováno v:
In International Journal of Biological Macromolecules June 2024 270 Part 1
Autor:
Yang, Guowu1,2 (AUTHOR) xueshengyangguowu@163.com, Dai, Rongfeng1 (AUTHOR) rongfengdai123@163.com, Ma, Xiaoming1 (AUTHOR) maxiaoming@caas.cn, Huang, Chun1 (AUTHOR) johnchun825@163.com, Ma, Xiaoyong1 (AUTHOR) abdullah33@163.com, Li, Xinyi1,2 (AUTHOR) lixinyi9804@163.com, La, Yongfu1 (AUTHOR) layongfu@caas.cn, Dingkao, Renqing3 (AUTHOR) dingkao08@163.com, Renqing, Ji4 (AUTHOR) rqingji@163.com, Guo, Xian1 (AUTHOR) guoxian@caas.cn, Zhaxi, Ta5 (AUTHOR) zhaxita@163.com, Liang, Chunnian1 (AUTHOR) zhaxita@163.com
Publikováno v:
Animals (2076-2615). Feb2024, Vol. 14 Issue 3, p406. 19p.
Quantum concatenation code is an effective way to realize fault-tolerant universal quantum computing. Still, there are many non-fault-tolerant logical locations at its low encoding level, which thereby increases the probability of error multiplicatio
Externí odkaz:
http://arxiv.org/abs/2105.07133
Publikováno v:
2020
Recommendation efficiency and data sparsity problems have been regarded as two challenges of improving performance for online recommendation. Most of the previous related work focus on improving recommendation accuracy instead of efficiency. In this
Externí odkaz:
http://arxiv.org/abs/2011.00944
Semantic segmentation, which aims to acquire a detailed understanding of images, is an essential issue in computer vision. However, in practical scenarios, new categories that are different from the categories in training usually appear. Since it is
Externí odkaz:
http://arxiv.org/abs/2007.00515
Zero-Shot Learning (ZSL) learns models for recognizing new classes. One of the main challenges in ZSL is the domain discrepancy caused by the category inconsistency between training and testing data. Domain adaptation is the most intuitive way to add
Externí odkaz:
http://arxiv.org/abs/2003.14105
Autor:
Zeng, Xiao, Yang, Guowu
Affine equivalent classes of Boolean functions have many applications in modern cryptography and circuit design. Previous publications have shown that affine equivalence on the entire space of Boolean functions can be computed up to 10 variables, but
Externí odkaz:
http://arxiv.org/abs/1912.11189
Publikováno v:
In Pattern Recognition September 2023 141