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Autor:
Chen, Junyan
Publikováno v:
The World Today, 2020 Apr 01. 76(2), 15-15.
Externí odkaz:
https://www.jstor.org/stable/48751006
Autor:
Wu, Xiaojun
Junyan Cao has obtained a very general vanishing theorem, valid on any compact K\"ahler manifold, for the cohomology groups with values in a pseudoeffective line bundle twisted by the associated multiplier ideal sheaf. In this note, we give a version
Externí odkaz:
http://arxiv.org/abs/2011.13673
Autor:
Liu, Jinming, Wei, Yuntao, Lin, Junyan, Zhao, Shengyang, Sun, Heming, Chen, Zhibo, Zeng, Wenjun, Jin, Xin
While learned image compression methods have achieved impressive results in either human visual perception or machine vision tasks, they are often specialized only for one domain. This drawback limits their versatility and generalizability across sce
Externí odkaz:
http://arxiv.org/abs/2412.18158
Autor:
Zhao, Junyan
The moduli space of bundle stable pairs $\overline{M}_C(2,\Lambda)$ on a smooth projective curve $C$, introduced by Thaddeus, is a smooth Fano variety of Picard rank two. Focusing on the genus two case, we show that its K-moduli space is isomorphic t
Externí odkaz:
http://arxiv.org/abs/2412.18064
Cross-view geo-localization identifies the locations of street-view images by matching them with geo-tagged satellite images or OSM. However, most studies focus on image-to-image retrieval, with fewer addressing text-guided retrieval, a task vital fo
Externí odkaz:
http://arxiv.org/abs/2412.17007
Autor:
Liu, Junyan, Ratliff, Lillian J.
We study the repeated principal-agent bandit game, where the principal indirectly interacts with the unknown environment by proposing incentives for the agent to play arms. Most existing work assumes the agent has full knowledge of the reward means a
Externí odkaz:
http://arxiv.org/abs/2412.16318
Autor:
Gao, Dongxin, Fan, Daojin, Zha, Chen, Bei, Jiahao, Cai, Guoqing, Cai, Jianbin, Cao, Sirui, Zeng, Xiangdong, Chen, Fusheng, Chen, Jiang, Chen, Kefu, Chen, Xiawei, Chen, Xiqing, Chen, Zhe, Chen, Zhiyuan, Chen, Zihua, Chu, Wenhao, Deng, Hui, Deng, Zhibin, Ding, Pei, Ding, Xun, Ding, Zhuzhengqi, Dong, Shuai, Dong, Yupeng, Fan, Bo, Fu, Yuanhao, Gao, Song, Ge, Lei, Gong, Ming, Gui, Jiacheng, Guo, Cheng, Guo, Shaojun, Guo, Xiaoyang, He, Tan, Hong, Linyin, Hu, Yisen, Huang, He-Liang, Huo, Yong-Heng, Jiang, Tao, Jiang, Zuokai, Jin, Honghong, Leng, Yunxiang, Li, Dayu, Li, Dongdong, Li, Fangyu, Li, Jiaqi, Li, Jinjin, Li, Junyan, Li, Junyun, Li, Na, Li, Shaowei, Li, Wei, Li, Yuhuai, Li, Yuan, Liang, Futian, Liang, Xuelian, Liao, Nanxing, Lin, Jin, Lin, Weiping, Liu, Dailin, Liu, Hongxiu, Liu, Maliang, Liu, Xinyu, Liu, Xuemeng, Liu, Yancheng, Lou, Haoxin, Ma, Yuwei, Meng, Lingxin, Mou, Hao, Nan, Kailiang, Nie, Binghan, Nie, Meijuan, Ning, Jie, Niu, Le, Peng, Wenyi, Qian, Haoran, Rong, Hao, Rong, Tao, Shen, Huiyan, Shen, Qiong, Su, Hong, Su, Feifan, Sun, Chenyin, Sun, Liangchao, Sun, Tianzuo, Sun, Yingxiu, Tan, Yimeng, Tan, Jun, Tang, Longyue, Tu, Wenbing, Wan, Cai, Wang, Jiafei, Wang, Biao, Wang, Chang, Wang, Chen, Wang, Chu, Wang, Jian, Wang, Liangyuan, Wang, Rui, Wang, Shengtao, Wang, Xinzhe, Wei, Zuolin, Wei, Jiazhou, Wu, Dachao, Wu, Gang, Wu, Jin, Wu, Shengjie, Wu, Yulin, Xie, Shiyong, Xin, Lianjie, Xu, Yu, Xue, Chun, Yan, Kai, Yang, Weifeng, Yang, Xinpeng, Yang, Yang, Ye, Yangsen, Ye, Zhenping, Ying, Chong, Yu, Jiale, Yu, Qinjing, Yu, Wenhu, Zhan, Shaoyu, Zhang, Feifei, Zhang, Haibin, Zhang, Kaili, Zhang, Pan, Zhang, Wen, Zhang, Yiming, Zhang, Yongzhuo, Zhang, Lixiang, Zhao, Guming, Zhao, Peng, Zhao, Xianhe, Zhao, Xintao, Zhao, Youwei, Zhao, Zhong, Zheng, Luyuan, Zhou, Fei, Zhou, Liang, Zhou, Na, Zhou, Naibin, Zhou, Shifeng, Zhou, Shuang, Zhou, Zhengxiao, Zhu, Chengjun, Zhu, Qingling, Zou, Guihong, Zou, Haonan, Zhang, Qiang, Lu, Chao-Yang, Peng, Cheng-Zhi, Zhu, XiaoBo, Pan, Jian-Wei
In the relentless pursuit of quantum computational advantage, we present a significant advancement with the development of Zuchongzhi 3.0. This superconducting quantum computer prototype, comprising 105 qubits, achieves high operational fidelities, w
Externí odkaz:
http://arxiv.org/abs/2412.11924
As large language models (LLMs) grow in size, traditional full fine-tuning becomes increasingly impractical due to its high computational and storage costs. Although popular parameter-efficient fine-tuning methods, such as LoRA, have significantly re
Externí odkaz:
http://arxiv.org/abs/2412.10135
Currently, 3D rendering for large-scale free camera trajectories, namely, arbitrary input camera trajectories, poses significant challenges: 1) The distribution and observation angles of the cameras are irregular, and various types of scenes are incl
Externí odkaz:
http://arxiv.org/abs/2412.10078