Zobrazeno 1 - 10
of 3 885
pro vyhledávání: '"FANG, Qi"'
The accomplished functions of a variety of quantum devices are closely associated with the controlling of exciton transport. To this end we study the exciton transport of the two-dimensional system consisting of two-level multichains with various cou
Externí odkaz:
http://arxiv.org/abs/2409.19224
This paper addresses the task of 3D clothed human generation from textural descriptions. Previous works usually encode the human body and clothes as a holistic model and generate the whole model in a single-stage optimization, which makes them strugg
Externí odkaz:
http://arxiv.org/abs/2404.16748
Scene completion and forecasting are two popular perception problems in research for mobile agents like autonomous vehicles. Existing approaches treat the two problems in isolation, resulting in a separate perception of the two aspects. In this paper
Externí odkaz:
http://arxiv.org/abs/2310.11239
As a modern ensemble technique, Deep Forest (DF) employs a cascading structure to construct deep models, providing stronger representational power compared to traditional decision forests. However, its greedy multi-layer learning procedure is prone t
Externí odkaz:
http://arxiv.org/abs/2309.09030
Autor:
Lu, Zhi-Wei, Guo, Liang, Li, Zheng-Zheng, Ababekri, Mamutjan, Chen, Fang-Qi, Fu, Changbo, Lv, Chong, Xu, Ruirui, Kong, Xiangjin, Niu, Yi-Fei, Li, Jian-Xing
Traditional photonuclear reactions primarily excite giant dipole resonances, making the measurement of isovector giant resonances with higher multipolarties a great challenge. In this work, the manipulation of collective excitations of different mult
Externí odkaz:
http://arxiv.org/abs/2306.08377
Multiple robots could perceive a scene (e.g., detect objects) collaboratively better than individuals, although easily suffer from adversarial attacks when using deep learning. This could be addressed by the adversarial defense, but its training requ
Externí odkaz:
http://arxiv.org/abs/2303.09495
Autor:
Qiu, Xiaojie 1, 7, 8, 28, 29, 30, ∗, Zhu, Daniel Y. 3, 29, Lu, Yifan 1, 7, 8, 9, 29, Yao, Jiajun 2, 4, 10, 29, Jing, Zehua 2, 4, 11, 29, Min, Kyung Hoi 12, 29, Cheng, Mengnan 2, 6, 29, Pan, Hailin 6, Zuo, Lulu 6, King, Samuel 13, Fang, Qi 2, 6, Zheng, Huiwen 2, 11, Wang, Mingyue 2, 14, Wang, Shuai 2, 11, Zhang, Qingquan 25, Yu, Sichao 5, Liao, Sha 6, 17, 18, Liu, Chao 15, Wu, Xinchao 2, 4, 16, Lai, Yiwei 6, Hao, Shijie 2, Zhang, Zhewei 2, 4, 16, Wu, Liang 18, Zhang, Yong 15, Li, Mei 17, Tu, Zhencheng 2, 11, Lin, Jinpei 2, 4, Yang, Zhuoxuan 2, 16, Li, Yuxiang 15, Gu, Ying 2, 6, 11, Ellison, David 27, Chen, Ao 6, 17, 18, Liu, Longqi 2, 19, 20, Weissman, Jonathan S. 5, 22, 23, Ma, Jiayi 9, ∗∗, Xu, Xun 2, 11, 21, ∗∗∗, Liu, Shiping 2, 19, 20, 24, ∗∗∗∗, Bai, Yinqi 4, 26, ∗∗∗∗∗
Publikováno v:
In Cell 26 December 2024 187(26):7351-7373
Autor:
Zhang, Ruixin, Fang, Qi, Yao, Lei, Yu, Xiaolan, Liu, Xingyun, Zhan, Mengting, Liu, Deng, Yan, Qi, Du, Jian, Chen, Lijian
Publikováno v:
In European Journal of Pharmacology 15 December 2024 985
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part B
Autor:
Gao, Yang, Ji, Dong, Fang, Qi, Li, Yamei, Wang, Keyan, Liu, Jia, Wang, Lei, Gu, Erwei, Zhang, Lei, Chen, Lijian
Publikováno v:
In Journal of Clinical Anesthesia December 2024 99