Zobrazeno 1 - 10
of 5 469
pro vyhledávání: '"Zhao, Lin P."'
Autor:
Zhong, Tianyang, Liu, Zhengliang, Pan, Yi, Zhang, Yutong, Zhou, Yifan, Liang, Shizhe, Wu, Zihao, Lyu, Yanjun, Shu, Peng, Yu, Xiaowei, Cao, Chao, Jiang, Hanqi, Chen, Hanxu, Li, Yiwei, Chen, Junhao, Hu, Huawen, Liu, Yihen, Zhao, Huaqin, Xu, Shaochen, Dai, Haixing, Zhao, Lin, Zhang, Ruidong, Zhao, Wei, Yang, Zhenyuan, Chen, Jingyuan, Wang, Peilong, Ruan, Wei, Wang, Hui, Zhao, Huan, Zhang, Jing, Ren, Yiming, Qin, Shihuan, Chen, Tong, Li, Jiaxi, Zidan, Arif Hassan, Jahin, Afrar, Chen, Minheng, Xia, Sichen, Holmes, Jason, Zhuang, Yan, Wang, Jiaqi, Xu, Bochen, Xia, Weiran, Yu, Jichao, Tang, Kaibo, Yang, Yaxuan, Sun, Bolun, Yang, Tao, Lu, Guoyu, Wang, Xianqiao, Chai, Lilong, Li, He, Lu, Jin, Sun, Lichao, Zhang, Xin, Ge, Bao, Hu, Xintao, Zhang, Lian, Zhou, Hua, Zhang, Lu, Zhang, Shu, Liu, Ninghao, Jiang, Bei, Kong, Linglong, Xiang, Zhen, Ren, Yudan, Liu, Jun, Jiang, Xi, Bao, Yu, Zhang, Wei, Li, Xiang, Li, Gang, Liu, Wei, Shen, Dinggang, Sikora, Andrea, Zhai, Xiaoming, Zhu, Dajiang, Liu, Tianming
This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, including computer science, mathematics, natural sciences, medicine, linguist
Externí odkaz:
http://arxiv.org/abs/2409.18486
Autor:
Zhao, Lin
We consider the multiplicity of solutions for the $p(x)$-Laplacian problems involving the supercritical Sobolev growth via Ricceri's principle. By means of the truncation combining with De Giorgi iteration, we can extend the result about subcritical
Externí odkaz:
http://arxiv.org/abs/2409.10984
Dynamic coronary roadmapping is a technology that overlays the vessel maps (the "roadmap") extracted from an offline image sequence of X-ray angiography onto a live stream of X-ray fluoroscopy in real-time. It aims to offer navigational guidance for
Externí odkaz:
http://arxiv.org/abs/2408.15947
Medical image segmentation is crucial for clinical decision-making, but the scarcity of annotated data presents significant challenges. Few-shot segmentation (FSS) methods show promise but often require retraining on the target domain and struggle to
Externí odkaz:
http://arxiv.org/abs/2408.08813
Autor:
Jia, Junjie, Gu, Yadong, Yin, Chaohui, Shu, Yingjie, Chen, Yiwen, Shi, Jumin, Zhang, Xing, Chen, Hao, Miao, Taimin, Ren, Xiaolin, Liang, Bo, Zhu, Wenpei, Cai, Neng, Zhang, Fengfeng, Zhang, Shenjin, Yang, Feng, Wang, Zhimin, Peng, Qinjun, Xu, Zuyan, Mao, Hanqing, Liu, Guodong, Ren, Zhian, Zhao, Lin, Zhou, X. J.
Publikováno v:
Chinese Physics B 33, 077404 (2024)
In iron-based superconductor Fe(Se,Te), a flat band-like feature near the Fermi level was observed around the Brillouin zone center in the superconducting state. It is under debate whether this is the evidence on the presence of the BCS-BEC crossover
Externí odkaz:
http://arxiv.org/abs/2407.20771
Autor:
Zhan, Bo, Gao, Qiang, Chi, Runze, Chen, Yiwen, Zhao, Lin, Lv, Dingshun, Zhou, Xingjiang, Xiang, Tao
The pairing symmetry of superconducting electrons can be identified through various phase-sensitive experiments. However, phenomena like the Josephson effect predominantly depend on frameworks exhibiting macroscopic interference. At the microscopic l
Externí odkaz:
http://arxiv.org/abs/2407.17375
Autor:
Yin, Chaohui, Wang, Qinghong, Xie, Yuyang, Chen, Yiwen, Liu, Junhao, Yang, Jiangang, Jia, Junjie, Zhang, Xing, Lv, Wenkai, Yan, Hongtao, Rong, Hongtao, Zhang, Shenjin, Wang, Zhimin, Zong, Nan, Liu, Lijuan, Li, Rukang, Wang, Xiaoyang, Zhang, Fengfeng, Yang, Feng, Peng, Qinjun, Xu, Zuyan, Liu, Guodong, Mao, Hanqing, Zhao, Lin, Li, Xintong, Zhou, Xingjiang
Publikováno v:
Chinese Physics B 33, 077405 (2024)
In high temperature cuprate superconductors, it was found that in the overdoped region the superfluid density decreases with the increase of hole doping. One natural question is whether there exists normal fluid in the superconducting state in the ov
Externí odkaz:
http://arxiv.org/abs/2407.12744
In this paper, we investigate preference-based reinforcement learning (PbRL) that allows reinforcement learning (RL) agents to learn from human feedback. This is particularly valuable when defining a fine-grain reward function is not feasible. Howeve
Externí odkaz:
http://arxiv.org/abs/2407.06503
Autor:
Huang, Heng, Zhao, Lin, Wu, Zihao, Yu, Xiaowei, Zhang, Jing, Hu, Xintao, Zhu, Dajiang, Liu, Tianming
Brain decoding techniques are essential for understanding the neurocognitive system. Although numerous methods have been introduced in this field, accurately aligning complex external stimuli with brain activities remains a formidable challenge. To a
Externí odkaz:
http://arxiv.org/abs/2407.09509
Auto-Multilift: Distributed Learning and Control for Cooperative Load Transportation With Quadrotors
Designing motion control and planning algorithms for multilift systems remains challenging due to the complexities of dynamics, collision avoidance, actuator limits, and scalability. Existing methods that use optimization and distributed techniques e
Externí odkaz:
http://arxiv.org/abs/2406.04858