Zobrazeno 51 - 60
of 3 489
pro vyhledávání: '"Yang, Xinyu"'
Aircraft taxiing conflict is a threat to the safety of airport operations, mainly due to the human error in control command infor-mation. In order to solve the problem, The aircraft taxiing deduction and conflict early warning method based on control
Externí odkaz:
http://arxiv.org/abs/2211.02320
There is an inescapable long-tailed class-imbalance issue in many real-world classification problems. Current methods for addressing this problem only consider scenarios where all examples come from the same distribution. However, in many cases, ther
Externí odkaz:
http://arxiv.org/abs/2210.14358
Understanding causality helps to structure interventions to achieve specific goals and enables predictions under interventions. With the growing importance of learning causal relationships, causal discovery tasks have transitioned from using traditio
Externí odkaz:
http://arxiv.org/abs/2209.06367
Autor:
Zhu, Fulin1 (AUTHOR), Yang, Xinyu1 (AUTHOR), Ouyang, Lilin2 (AUTHOR), Man, Tiantian1 (AUTHOR), Chao, Jie2 (AUTHOR), Deng, Shengyuan3 (AUTHOR) sydeng@njust.edu.cn, Zhu, Dan2 (AUTHOR) iamdzhu@njupt.edu.cn, Wan, Ying1 (AUTHOR) wanying@njust.edu.cn
Publikováno v:
Advanced Science. 6/19/2024, Vol. 11 Issue 23, p1-10. 10p.
Emotion-cause pair extraction (ECPE) is an emerging task aiming to extract potential pairs of emotions and corresponding causes from documents. Previous approaches have focused on modeling the pair-to-pair relationship and achieved promising results.
Externí odkaz:
http://arxiv.org/abs/2208.13549
We propose Video-TransUNet, a deep architecture for instance segmentation in medical CT videos constructed by integrating temporal feature blending into the TransUNet deep learning framework. In particular, our approach amalgamates strong frame repre
Externí odkaz:
http://arxiv.org/abs/2208.08315
Autor:
Zhou, Feixiang, Yang, Xinyu, Chen, Fang, Chen, Long, Jiang, Zheheng, Zhu, Hui, Heckel, Reiko, Wang, Haikuan, Fei, Minrui, Zhou, Huiyu
Automated social behaviour analysis of mice has become an increasingly popular research area in behavioural neuroscience. Recently, pose information (i.e., locations of keypoints or skeleton) has been used to interpret social behaviours of mice. Neve
Externí odkaz:
http://arxiv.org/abs/2208.03819
Autor:
Lu, Ziye, Yang, Xinyu, Huang, Lin, Chen, Xiyu, Liu, Meifeng, Peng, Jin, Dong, Shuai, Liu, Jun-Ming
Publikováno v:
Journal of Physics: Condensed Matter 34, 354005 (2022)
Metal thio(seleno)phosphates MPX$_3$ have attracted considerable attentions with wide spanned band gaps and rich magnetic properties. In this series, two neighboring members MnPS$_3$ and NiPS$_3$ differ in magnetic atoms, magnetic easy axes, spin ani
Externí odkaz:
http://arxiv.org/abs/2207.00382
In strong adversarial attacks against deep neural networks (DNN), the generated adversarial example will mislead the DNN-implemented classifier by destroying the output features of the last layer. To enhance the robustness of the classifier, in our p
Externí odkaz:
http://arxiv.org/abs/2206.00924
Deep neural networks are easily attacked by imperceptible perturbation. Presently, adversarial training (AT) is the most effective method to enhance the robustness of the model against adversarial examples. However, because adversarial training solve
Externí odkaz:
http://arxiv.org/abs/2206.00913