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pro vyhledávání: '"Chengjun"'
Akademický článek
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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
Autor:
Du, Xueyu, Ji, Chengjun, Zhang, Lilian, Luo, Xinchan, Zhang, Huaiyi, Wang, Maosong, Wu, Wenqi, Mao, Jun
Due to the advantages of high computational efficiency and small memory requirements, filter-based visual inertial odometry (VIO) has a good application prospect in miniaturized and payload-constrained embedded systems. However, the filter-based meth
Externí odkaz:
http://arxiv.org/abs/2411.07551
Autor:
Yang, Chengyu, Liu, Chengjun
Approximately 16 million Americans suffer from rosacea according to the National Rosacea Society. To increase rosacea awareness, automatic rosacea detection methods using deep learning and explainable statistical approaches are presented in this pape
Externí odkaz:
http://arxiv.org/abs/2411.07074
Deep learning models have been extensively adopted in various regions due to their ability to represent hierarchical features, which highly rely on the training set and procedures. Thus, protecting the training process and deep learning algorithms is
Externí odkaz:
http://arxiv.org/abs/2409.11663
Multi-modal image fusion integrates complementary information from different modalities to produce enhanced and informative images. Although State-Space Models, such as Mamba, are proficient in long-range modeling with linear complexity, most Mamba-b
Externí odkaz:
http://arxiv.org/abs/2409.01728
Autor:
Ma, Ruoyan, Guo, Zhimin, Chen, Dai, Dai, Xiaojun, Xiao, You, Zhang, ChengJun, Xiong, Jiamin, Huang, Jia, Zhang, Xingyu, Liu, Xiaoyu, Rong, Liangliang, Li, Hao, Zhang, Xiaofu, You, Lixing
Bounded by the size, weight, and power consumption (SWaP) of conventional superconducting single photon detectors (SSPD), applications of SSPDs were commonly confined in the laboratory. However, booming demands for high efficiency single photon detec
Externí odkaz:
http://arxiv.org/abs/2408.05878
Autor:
Wang, Chengrui, Long, Qingqing, Xiao, Meng, Cai, Xunxin, Wu, Chengjun, Meng, Zhen, Wang, Xuezhi, Zhou, Yuanchun
The question-answering system for Life science research, which is characterized by the rapid pace of discovery, evolving insights, and complex interactions among knowledge entities, presents unique challenges in maintaining a comprehensive knowledge
Externí odkaz:
http://arxiv.org/abs/2408.01107
Large Vision Language Models (VLMs) extend and enhance the perceptual abilities of Large Language Models (LLMs). Despite offering new possibilities for LLM applications, these advancements raise significant security and ethical concerns, particularly
Externí odkaz:
http://arxiv.org/abs/2407.15050
Autor:
He, Xuanhua, Li, Lang, Wang, Yingying, Zheng, Hui, Cao, Ke, Yan, Keyu, Li, Rui, Xie, Chengjun, Zhang, Jie, Zhou, Man
Image restoration aims to reconstruct the latent clear images from their degraded versions. Despite the notable achievement, existing methods predominantly focus on handling specific degradation types and thus require specialized models, impeding rea
Externí odkaz:
http://arxiv.org/abs/2407.13181