Zobrazeno 1 - 10
of 15 199
pro vyhledávání: '"WU, Chao"'
Autor:
Ying, Jiacheng, Liu, Mushui, Wu, Zhe, Zhang, Runming, Yu, Zhu, Fu, Siming, Cao, Si-Yuan, Wu, Chao, Yu, Yunlong, Shen, Hui-Liang
Blind face restoration has made great progress in producing high-quality and lifelike images. Yet it remains challenging to preserve the ID information especially when the degradation is heavy. Current reference-guided face restoration approaches eit
Externí odkaz:
http://arxiv.org/abs/2411.14125
Compared to the ferromagnetic materials that realize the anomalous valley Hall effect by breaking time-reversal symmetry and spin-orbit coupling, the antiferromagnetic materials with the joint spatial inversion and time-reversal (PT) symmetry are rar
Externí odkaz:
http://arxiv.org/abs/2411.06682
Publikováno v:
ACCV2024
Multi-task-learning(MTL) is a multi-target optimization task. Neural networks try to realize each target using a shared interpretative space within MTL. However, as the scale of datasets expands and the complexity of tasks increases, knowledge sharin
Externí odkaz:
http://arxiv.org/abs/2410.03778
Autor:
Gong, Yifan, Wu, Yushu, Zhan, Zheng, Zhao, Pu, Liu, Liangkai, Wu, Chao, Tang, Xulong, Wang, Yanzhi
Two-stage object detectors exhibit high accuracy and precise localization, especially for identifying small objects that are favorable for various edge applications. However, the high computation costs associated with two-stage detection methods caus
Externí odkaz:
http://arxiv.org/abs/2410.10847
Autor:
Shen, Xuan, Zhao, Pu, Gong, Yifan, Kong, Zhenglun, Zhan, Zheng, Wu, Yushu, Lin, Ming, Wu, Chao, Lin, Xue, Wang, Yanzhi
Large Language Models (LLMs) have long held sway in the realms of artificial intelligence research. Numerous efficient techniques, including weight pruning, quantization, and distillation, have been embraced to compress LLMs, targeting memory reducti
Externí odkaz:
http://arxiv.org/abs/2409.17372
Autor:
Cheng, Yehao, Pan, Yu, Yang, Yuan-Pei, Zhang, Jinghua, Du, Guowang, Fang, Yuan, Kumar, Brajesh, Guo, Helong, Er, Xinzhong, Chen, Xinlei, Liu, Chenxu, Wang, Tao, Qin, Zhenfei, Jin, Yicheng, Zou, Xingzhu, Han, Xuhui, Zhang, Pinpin, Xin, Liping, Wu, Chao, Lian, Jianhui, Liu, Xiangkun, Liu, Xiaowei
Gamma-ray bursts (GRBs) are the most luminous transients in the universe. The interaction of the relativistic jet with the circumburst medium produces an afterglow and generates multiwavelength emission. In this work, we present simultaneous multiban
Externí odkaz:
http://arxiv.org/abs/2409.14716
In order to promote the development of the next generation of nano-spintronic devices, it is of great significance to tune the freedom of valley in two-dimensional (2D) materials. Here, we propose a mechanism for manipulating the valley and nonlinear
Externí odkaz:
http://arxiv.org/abs/2409.06181
Autor:
Li, Yang, Cai, Wen-Qi, Ren, Ji-Gang, Wang, Chao-Ze, Yang, Meng, Zhang, Liang, Wu, Hui-Ying, Chang, Liang, Wu, Jin-Cai, Jin, Biao, Xue, Hua-Jian, Li, Xue-Jiao, Liu, Hui, Yu, Guang-Wen, Tao, Xue-Ying, Chen, Ting, Liu, Chong-Fei, Luo, Wen-Bin, Zhou, Jie, Yong, Hai-Lin, Li, Yu-Huai, Li, Feng-Zhi, Jiang, Cong, Chen, Hao-Ze, Wu, Chao, Tong, Xin-Hai, Xie, Si-Jiang, Zhou, Fei, Liu, Wei-Yue, Liu, Nai-Le, Li, Li, Xu, Feihu, Cao, Yuan, Yin, Juan, Shu, Rong, Wang, Xiang-Bin, Zhang, Qiang, Wang, Jian-Yu, Liao, Sheng-Kai, Peng, Cheng-Zhi, Pan, Jian-Wei
A quantum network provides an infrastructure connecting quantum devices with revolutionary computing, sensing, and communication capabilities. As the best-known application of a quantum network, quantum key distribution (QKD) shares secure keys guara
Externí odkaz:
http://arxiv.org/abs/2408.10994
Autor:
Wu, Chao-Zhong, Yang, Yi
Starting from a fairly explicit homogeneous realization of the toroidal Lie algebra $\mathcal{L}^{\rm tor}_{r+1}(\mathfrak{sl}_\ell)$ via lattice vertex algebra, we derive an integrable hierarchy of Hirota bilinear equations. Moreover, we represent t
Externí odkaz:
http://arxiv.org/abs/2408.07376
Generative Flow Networks (GFlowNets) aim to generate diverse trajectories from a distribution in which the final states of the trajectories are proportional to the reward, serving as a powerful alternative to reinforcement learning for exploratory co
Externí odkaz:
http://arxiv.org/abs/2408.06920