|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 3D bioprinting: an emerging technology full of opportunities and challenges显示文摘 | Bin Zhang Yichen Luo Liang Ma Lei Gao Yuting Li Qian Xue Huayong Yang Zhanfeng Cui | 2018 | Bio-Design and Manufacturing2018，1，1： | 13 |
| 2 | Dynamic tubulation of mitochondria drives mitochondrial network formation显示文摘 | Chong Wang Wanqing Du Qian Peter Su Mingli Zhu Peiyuan Feng Ying Li Yichen Zhou Na Mi Yueyao Zhu Dong Jiang Senyan Zhang Zerui Zhang Yujie Sun Li Yu | 2015 | Cell Research2015，25，10： | 8 |
| 3 | Photonic matrix multiplication lights up photonicaccelerator and beyond显示文摘Matrix computation,as a fundamental building block of information processing in science and technology,contributes most of the computational overheads in modern signal processing and artificial intelligence algorithms.Photonic accelerators are designed to accelerate specific categories of computing in the optical domain,especially matrix multiplication,to address the growing demand for computing resources and capacity.Photonic matrix multiplication has much potential to expand the domain of telecommunication,and artificial intelligence benefiting from its superior performance.Recent research in photonic matrix multiplication has flourished and may provide opportunities to develop applications that are unachievable at present by conventional electronic processors.In this review,we first introduce the methods of photonic matrix multiplication,mainly including the plane light conversion method,Mach–Zehnder interferometer method and wavelength division multiplexing method.We also summarize the developmental milestones of photonic matrix multiplication and the related applications.Then,we review their detailed advances in applications to optical signal processing and artificial neural networks in recent years.Finally,we comment on the challenges and perspectives of photonic matrix multiplication and photonic acceleration. | Hailong Zhou Jianji Dong Junwei Cheng Wenchan Dong Chaoran Huang Yichen Shen Qiming Zhang Min Gu Chao Qian Hongsheng Chen Zhichao Ruan Xinliang Zhang | 2022 | Light(Science & Applications)2022，11，2： | 4 |
| 4 | Survey on Reinforcement Learning Applications in Communication Networks显示文摘In recent years,intelligent communication has drawn huge research efforts in both academia and industry.With the advent of 5G technology,intelligent wireless terminals and intelligent communication networks are increasingly under intensive study.Artificial intelligence enhances the network capability with automatic and adaptive adjustment.Reinforcement learning(RL)and deep reinforcement learning(DRL)are two powerful techniques in artificial intelligence which can learn the optimal decision according to the environment feedback.In this paper,we focus on the latest research progress on RL and DRL applied in three emerging technologies including mobile edge computing(MEC),software defined network(SDN)and network virtualization in 5G.The prospect of further research and development in the future is preliminarily forecasted. | Yichen Qian Jun Wu Rui Wang Fusheng Zhu Wei Zhang | 2019 | Journal of Communications and Information Networks2019，4，2： | 1 |
| 5 | Research lab on 3D bioprinting of Zhejiang University显示文摘 | Lei Gao Bin Zhang Liang Ma Yichen Luo Qian Xue Zhanfeng Cui Huayong Yang | 2018 | Bio-Design and Manufacturing2018，1，3： | 1 |
| 6 | 3D bioprinted hyaluronic acid‑based cell‑laden scaffold for brain microenvironment simulation显示文摘Treatments for lesions in central nervous system(CNS)are always faced with challenges due to the anatomical and physiological particularity of the CNS despite the fact that several achievements have been made in early diagnosis and precision medicine to improve the survival and quality of life of patients with brain tumors in recent years.Understanding the complexity as well as role of the microenvironment of brain tumors may suggest a better revealing of the molecular mechanism of brain tumors and new therapeutic directions,which requires an accurate recapitulation of the complex microenvironment of human brain in vitro.Here,a 3D bioprinted in vitro brain matrix-mimetic microenvironment model with hyaluronic acid(HA)and normal glial cells(HEBs)is developed which simulates both mechanical and biological properties of human brain microenvironment in vivo through the investigation of the formulation of bioinks and optimization of printing process and parameters to study the effects of different concentration of gelatin(GA)within the bioink and different printing structures of the scaffold on the performance of the brain matrix-mimetic microenvironment models.The study provides experimental models for the exploration of the multiple factors in the brain microenvironment and scaffolds for GBM invasion study. | Liang Ma Yuting Li Yutong Wu Mengfei Yu Abdellah Aazmi Lei Gao Qian Xue Yichen Luo Hongzhao Zhou Bin Zhang Huayong Yang | 2020 | Bio-Design and Manufacturing2020，3，3： | 1 |
| 7 | Maternal genetic structure of a neolithic population of the Yangshao culture显示文摘The Yangshao culture is one of the most influential Neolithic cultures in East Asia.The populations associated with the Yangshao culture were widely distributed along the Yellow River basin and were suggested to play a profound role in the present-day East Asians.To date,the population of the Yangshao culture is largely investigated through archaeological studies. | Bo Miao Yichen Liu Wanfa Gu Qingli Wei Qian Wu Wenjun Wang Ming Zhang Manyu Ding Tianyi Wang Juncen Liu Feng Liu Peng Cao Qingyan Dai Ruowei Yang Xiaotian Feng Wanjing Ping Weihong Hou Haibing Yuan Qiaomei Fu | 2021 | Journal of Genetics and Genomics2021，48，8： | 0 |
| 8 | Survey on rain removal from videos or a single image显示文摘Rain can cause performance degradation of outdoor computer vision tasks.Thus,the exploration of rain removal from videos or a single image has drawn considerable attention in the field of image processing.Recently,various deraining methodologies have been proposed.However,no comprehensive survey work has yet been conducted to summarize existing deraining algorithms and quantitatively compare their generalization ability,and especially,no off-the-shelf toolkit exists for accumulating and categorizing recent representative methods for easy performance reproduction and deraining capability evaluation.In this regard,herein,we present a comprehensive overview of existing video and single image deraining methods as well as reproduce and evaluate current state-of-the-art deraining methods.In particular,these approaches are mainly classified into model-and deep-learning-based methods,and more elaborate branches of each method are presented.Inherent abilities,especially generalization performance,of the state-of-the-art methods have been both quantitatively and visually analyzed through thorough experiments conducted on synthetic and real benchmark datasets.Moreover,to facilitate the reproduction of existing deraining methods for general users,we present a comprehensive repository with detailed classification,including direct links to 85 deraining papers,24 relevant project pages,source codes of 12 and 25 algorithms for video and single image deraining,respectively,5 and 10 real and synthesized datasets,respectively,and 7 frequently used image quality evaluation metrics,along with the corresponding computation codes.Research limitations worthy of further exploration have also been discussed for future research along this direction. | Hong WANG Yichen WU Minghan LI Qian ZHAO Deyu MENG | 2022 | Science China(Information Sciences)2022，65，1： | 0 |
| 9 | Indications,strategies,and development on prostate targeted biopsy:Report of the Panjiayuan Consensus Conference 2022显示文摘Prostate biopsy is the gold standard for diagnosing prostate cancer(PCa).Prostate targeted biopsy(TB)having a higher rate of detecting clinically significant PCa(csPCa)than traditional systematic biopsy(SB)is supported by high-quality evidence.However,the TB indications and strategies are controversial.The National Cancer Center/Cancer Hospital,Chinese Academy of Medical Sciences,invited a panel of recognized urology experts in PCa to address these topics at the Panjiayuan Consensus Conference 2022.The conference results on prostate TB are presented herein.The National Cancer Center/Cancer Hospital,Chinese Academy of Medical Sciences identified 10 key areas of prostate biopsy:(1)selection of imaging examination;(2)indications of TB;(3)transperineal and transrectal prostate biopsy;(4)TB pathways;(5)TB and SB;(6)three techniques of TB;(7)the number of TB cores needed for one lesion;(8)core number for SB;(9)free-hand TB;(10)future development of TB/prostate diagnosis.Thus,a panel of 25 recognized urologists and 2 radiologists from China were invited to attend this conference.The panel voted anonymously on 14 predetermined questions.Voting was based on the panelists'clinical practice and opinion,rather than high-level evidence.The voting outcomes were supported by the panel unequally,and details of the voting results were reported.The voting results can help clinicians to decide on biopsy timing and proper strategies,for which guidelines are sparse.We also focused on the future development of TB and SB,such as the combined pathway of TB and SB,techniques of TB,biopsy cores,free-hand TB,and prostate-specific membrane antigen positron emission tomography/computed tomography. | Gang Song Yajian Li Huimin Hou Yichen Wang Xuejuan Wang Shaoxi Niu Xiang Tu Hongliang Shen Zhien Zhou Yinbing Wang Ruiyi Yan Ning Xu Gejun Zhang Hailong Hao Shudong Zhang Ben Liu Bin Yang Baojun Wang Haifeng Wang Haifeng Huang Qian Zhang Baijun Dong Yonghong Li Jianbin Bi Weigang Yan Hongqian Guo Yuanjie Niu Guosheng Yang Ming Liu Qiang Wei Nianzeng Xing | 2023 | UroPrecision2023，1，1： | 0 |
| 10 | 畅享自然——让老年人乐享幸福生活的生态社区公园设计显示文摘为了更好地照顾老年人,护理模式正在一步步由家庭护理向社区护理转变。该项目以自然恢复、低影响发展、自我维持的生态社区为设计理念,旨在创造一个健康舒适的户外空间,为老年人提供互动、娱乐和教育服务,加强老年人与家人之间的联系,并完善社区内外的社交网络。项目地址位于安徽省合肥市中心的仙桥社区。该社区占地0.46平方公里,有6个相对独立的居民区。原有社区景观设计陈旧,建筑密度高,仅有一个公共广场和一个袖珍公园,区域内居民很少有接触到绿色和自然的机会。 | Peng Chen Yichen Lou Kun Qian Zhengwei Xing Yunxin Han Wenjun Liu Hongbo Chen Wenqi Chen Xinmiao Zhu Lang Qin Xueying Liu Yu Leng Xinya Hu Suheng Yao | 2023 | 工业设计2023，，9： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员