Zobrazeno 1 - 10
of 237
pro vyhledávání: '"Deng, Qilin"'
Autor:
Zhong, Jingshan, Li, Quanzhi, Wen, Zhong, Deng, Qilin, Zhang, Haonan, Jin, Weizheng, Yang, Qing
Image projection through scattering media has applications ranging from light delivery through multimode fiber to near-eye displays. Conventional methods utilize the transmission matrix (TM) measured by interfering with a reference beam. However, it
Externí odkaz:
http://arxiv.org/abs/2409.15702
Transmission matrix (TM) linearly maps the incident and transmitted complex fields, and has been used widely due to its ability to characterize scattering media. It is computationally demanding to reconstruct the TM from intensity images measured by
Externí odkaz:
http://arxiv.org/abs/2302.13524
Autor:
Wen, Zhong, Dong, Zhenyu, Pang, Chenlei, Kaminski, Clemens F., Deng, Qilin, Xu, Jinggang, Wang, Liqiang, Liu, Songguo, Tang, Jianbin, Chen, Wei, Liu, Xu, Yang, Qing
Publikováno v:
Published online: 03 July 2023, Nature Photonics
Super-resolution microscopy normally requiring complex and cumbersome optics is not applicable for in situ imaging through a narrow channel. Here, we demonstrate single hair-thin multimode fiber (MMF) endoscope (less than 250 ${\mu}m$) for in vivo li
Externí odkaz:
http://arxiv.org/abs/2207.03096
Autor:
Zhao, Minghao, Wu, Le, Liang, Yile, Chen, Lei, Zhang, Jian, Deng, Qilin, Wang, Kai, Shen, Xudong, Lv, Tangjie, Wu, Runze
Recent years have witnessed the great accuracy performance of graph-based Collaborative Filtering (CF) models for recommender systems. By taking the user-item interaction behavior as a graph, these graph-based CF models borrow the success of Graph Ne
Externí odkaz:
http://arxiv.org/abs/2204.12326
Autor:
Wang, Zhirong, Zhang, Jialong, Gao, Ming, Deng, Qilin, Zhang, Yumeng, Pei, Manying, Zhao, Yinling, Guo, Yang-Dong, Zhang, Haijun
Publikováno v:
In Plant Physiology and Biochemistry September 2024 214
Autor:
Wang, Kai, Zou, Zhene, Zhao, Minghao, Deng, Qilin, Shang, Yue, Liang, Yile, Wu, Runze, Shen, Xudong, Lyu, Tangjie, Fan, Changjie
Reinforcement learning based recommender systems (RL-based RS) aim at learning a good policy from a batch of collected data, by casting recommendations to multi-step decision-making tasks. However, current RL-based RS research commonly has a large re
Externí odkaz:
http://arxiv.org/abs/2110.11073
Publikováno v:
In Materials Today Communications August 2024 40
Autor:
Deng, Qilin, Wang, Kai, Zhao, Minghao, Zou, Zhene, Wu, Runze, Tao, Jianrong, Fan, Changjie, Chen, Liang
In business domains, \textit{bundling} is one of the most important marketing strategies to conduct product promotions, which is commonly used in online e-commerce and offline retailers. Existing recommender systems mostly focus on recommending indiv
Externí odkaz:
http://arxiv.org/abs/2104.05307
Autor:
Wang, Kai, Zou, Zhene, Deng, Qilin, Wu, Runze, Tao, Jianrong, Fan, Changjie, Chen, Liang, Cui, Peng
In recent years, there are great interests as well as challenges in applying reinforcement learning (RL) to recommendation systems (RS). In this paper, we summarize three key practical challenges of large-scale RL-based recommender systems: massive s
Externí odkaz:
http://arxiv.org/abs/2104.02981
Publikováno v:
Chinese Phys. C 45 (2021) 023110
We study the potential of the LHCb 13 TeV single $W^{\pm}$ and $Z$ boson pseudo-data for constraining the parton distribution functions (PDFs) of the proton. As an example, we demonstrate the sensitivity of the LHCb 13 TeV data, collected with integr
Externí odkaz:
http://arxiv.org/abs/2009.03181