Zobrazeno 1 - 10
of 687
pro vyhledávání: '"Deng Zhigang"'
The high costs and risks involved in extensive environment interactions hinder the practical application of current online safe reinforcement learning (RL) methods. While offline safe RL addresses this by learning policies from static datasets, the p
Externí odkaz:
http://arxiv.org/abs/2412.04426
Autor:
Pham, Trong Thang, Nguyen, Tien-Phat, Ikebe, Yuki, Awasthi, Akash, Deng, Zhigang, Wu, Carol C., Nguyen, Hien, Le, Ngan
Medical eye-tracking data is an important information source for understanding how radiologists visually interpret medical images. This information not only improves the accuracy of deep learning models for X-ray analysis but also their interpretabil
Externí odkaz:
http://arxiv.org/abs/2411.05780
Autor:
Zhang, Feng, Deng, Li, Ge, Yanjie, Wen, Jiaxing, Cui, Bo, Feng, Ke, Wang, Hao, Wu, Chen, Pan, Ziwen, Liu, Hongjie, Deng, Zhigang, Zhang, Zongxin, Chen, Liangwen, Yan, Duo, Shan, Lianqiang, Yuan, Zongqiang, Tian, Chao, Qian, Jiayi, Zhu, Jiacheng, Xu, Yi, Yu, Yuhong, Zhang, Xueheng, Yang, Lei, Zhou, Weimin, Gu, Yuqiu, Wang, Wentao, Leng, Yuxin, Sun, Zhiyu, Li, Ruxin
Muons, which play a crucial role in both fundamental and applied physics, have traditionally been generated through proton accelerators or from cosmic rays. With the advent of ultra-short high-intensity lasers capable of accelerating electrons to GeV
Externí odkaz:
http://arxiv.org/abs/2410.23829
Predicting human gaze behavior within computer vision is integral for developing interactive systems that can anticipate user attention, address fundamental questions in cognitive science, and hold implications for fields like human-computer interact
Externí odkaz:
http://arxiv.org/abs/2407.00129
Human-AI collaboration to identify and correct perceptual errors in chest radiographs has not been previously explored. This study aimed to develop a collaborative AI system, CoRaX, which integrates eye gaze data and radiology reports to enhance diag
Externí odkaz:
http://arxiv.org/abs/2406.19686
Autor:
Ma, Bubo, Ren, Jieru, Liu, Lirong, Wei, Wenqing, Chen, Benzheng, Zhang, Shizheng, Xu, Hao, Hu, Zhongmin, Li, Fangfang, Wang, Xing, Yin, Shuai, Feng, Jianhua, Zhou, Xianming, Gao, Yifang, Li, Yuan, Shi, Xiaohua, Li, Jianxing, Ren, Xueguang, Xu, Zhongfeng, Deng, Zhigang, Qi, Wei, Wang, Shaoyi, Fan, Quanping, Cui, Bo, Wang, Weiwu, Yuan, Zongqiang, Teng, Jian, Wu, Yuchi, Cao, Zhurong, Zhao, Zongqing, Gu, Yuqiu, Cao, Leifeng, Zhu, Shaoping, Cheng, Rui, Lei, Yu, Wang, Zhao, Zhou, Zexian, Xiao, Guoqing, Zhao, Hongwei, Hoffmann, Dieter H. H., Zhou, Weimin, Zhao, Yongtao
The charge equilibration of laser-accelerated carbon ion beams in 2 mg/cm3 foam target was investigated experimentally. The ions were generated through target normal sheath acceleration mechanism in laser-foil interaction scheme. This allows to get t
Externí odkaz:
http://arxiv.org/abs/2310.01047
Autor:
Fan, Wenru, Qi, Wei, Zhang, Jingli, Cao, Zongwei, Lan, Haoyang, Li, Xinxiang, Xu, Yi, Gu, Yuqiu, Deng, Zhigang, Zhang, Zhimeng, Tan, Changxiang, Luo, Wen, Yuan, Yun, Zhou, Weimin
Nuclear isomers play a key role in the creation of the elements in the universe and have a number of fascinating potential applications related to the controlled release of nuclear energy on demand. Particularly, $^{93m}$Mo isomer is a good candidate
Externí odkaz:
http://arxiv.org/abs/2308.02994
Autor:
Chen, Benzheng, Ren, Jieru, Deng, Zhigang, Qi, Wei, Hu, Zhongmin, Ma, Bubo, Wang, Xing, Yin, Shuai, Feng, Jianhua, Liu, Wei, Xu, Zhongfeng, Hoffmann, Dieter H. H., Wang, Shaoyi, Fan, Quanping, Cui, Bo, He, Shukai, Cao, Zhurong, Zhao, Zongqing, Cao, Leifeng, Gu, Yuqiu, Zhu, Shaoping, Cheng, Rui, Zhou, Xianming, Xiao, Guoqing, Zhao, Hongwei, Zhang, Yihang, Zhang, Zhe, Li, Yutong, Zhou, Weimin, Zhao, Yongtao
Thoroughly understanding the transport and energy loss of intense ion beams in dense matter is essential for high-energy-density physics and inertial confinement fusion. Here, we report a stopping power experiment with a high-intensity laser-driven p
Externí odkaz:
http://arxiv.org/abs/2305.18067
Expressions and facial action units (AUs) are two levels of facial behavior descriptors. Expression auxiliary information has been widely used to improve the AU detection performance. However, most existing expression representations can only describ
Externí odkaz:
http://arxiv.org/abs/2210.15160
Since Facial Action Unit (AU) annotations require domain expertise, common AU datasets only contain a limited number of subjects. As a result, a crucial challenge for AU detection is addressing identity overfitting. We find that AUs and facial expres
Externí odkaz:
http://arxiv.org/abs/2210.13718