作者： Zhang, Jun^1,2;Chen, Zerui²;Lei, Yuxin²;Wen, Junhai² （¹Taiyuan Univ Technol, Coll Comp Sci & Technol, Taiyuan 030024, Peoples R China.;²Beijing Inst Technol, Sch Life Sci, Beijing 100081, Peoples R China.）

出处： DIAGNOSTICS 2024 Vol.14 No.5

关键词： CONE-BEAM CT; EPID DOSIMETRY; GUIDED RADIOTHERAPY; IMRT; QUALITY; OPTIMIZATION; ISOCENTER; ACCURACY; ONCOLOGY; THERAPY

摘要： Traditional positioning verification using cone-beam computed tomography (CBCT) may incur errors due to potential misalignments between the isocenter ...

作者： Zhang, Tao¹;Fu, Ying^1,2;Zhang, Jun² （¹Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China.;²Beijing Inst Technol, Adv Reasearch Inst Multidisciplinary Sci, Beijing 100081, Peoples R China.）

出处： CHINESE JOURNAL OF ELECTRONICS 2024 Vol.33 No.1 P303-312

关键词： REDUCTION

摘要： Denoising (DN) and demosaicing (DM) are the first crucial stages in the image signal processing pipeline. Recently, researches pay more attention to s ...

作者： Yaohui Cheng，Yirong Wang，Xin Zhang，Jinming Zhang，Zhiyuan He，Jianjun Wang，Jun Zhang （CAS Key Laboratory of Engineering Plastics；University of Chinese Academy of Sciences；Beijing Institute of Technology）

出处： 纳米研究(英文版) 2023 第5期 P7171-7179

摘要： Herein,we proposed and demonstrated a facile and scalable strategy to fabricate multifunctional self-similar superhydrophobic coatings.Firstly,a hydro ...

作者： Ye Tian;Ying Fu;Jun Zhang （¹School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;²Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China;³School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China）

出处： Optics & Laser Technology 2023 Vol.162 P109278

摘要： To solve the problem of low image quality that under-sampled single-pixel imaging (SPI) often suffers from, deep learning based SPI methods have attra ...

作者： Zhang, Jun^{1, 2}; Ma, Boxuan^{1, 2}; Zhang, Xian^{1, 3}; Zhang, Kun^{1, 2} （¹School of Machinery Engineering, Beijing Institute of Technology, Beijing; 100081, China;²National Engineering Research Center of Electric Vehicles, Beijing; 100081, China;³China Vehicle Research Institute, Beijing; 100072, China）

出处： Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2023 Vol.43 No.9 P926-932

作者： Fu, Ying^1,2;Wang, Zichun¹;Zhang, Tao¹;Zhang, Jun^2,3 （¹Beijing Inst Technol, Sch Comp Sci & Technol, Beijing Lab Intelligent Informat Technol, Beijing 100081, Peoples R China.;²Yangtze Delta Reg Acad Beijing Inst Technol, Jiaxing 314000, Peoples R China.;³Beijing Inst Technol, MIIT Key Lab Complex Field Intelligent Explorat, Beijing 100081, Peoples R China.）

出处： IEEE TRANSACTIONS ON MULTIMEDIA 2023 Vol.25 P8119-8131

关键词： IMAGE; ENHANCEMENT

摘要： Recently, supervised deep-learning methods have shown their effectiveness on raw video denoising in low-light. However, existing training datasets hav ...

作者： Bian, Liheng^{1, 2}; Wang, Zhen¹; Zhang, Yuzhe¹; Zhang, Yinuo¹; Yang, Chen¹; Li, Lianjie¹; Fang, Wen^{1, 2}; Zhao, Jiajun¹; Zhu, Chunli¹; Zheng, Dezhi^{1, 2}; Zhang, Jun¹ （¹MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing; 100081, China;²Yangtze Delta Region Academy of Beijing Institute of Technology (Jiaxing), Jiaxing; 314019, China）

出处： arXiv 2023

作者： Bian, Liheng^{1, 2}; Li, Daoyu¹; Wang, Shuoguang³; Teng, Chunyang³; Liu, Huteng³; Xu, Hanwen¹; Chang, Xuyang¹; Zhao, Guoqiang^{3, 4}; Li, Shiyong^{3, 4}; Zhang, Jun¹ （¹MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing; 100081, China;²Yanotze Delta Region Academy of Beijing Institute of Technology (Jiaxing), Jiaxing; 314019, China;³Beijing Key Laboratory of Millimeter Wave and Terahertz Technology, Beijing Institute of Technology, Beijing; 100081, China;⁴Tangshan Research Institute, Beijing Institute of Technology, Tangshan; 063007, China）

出处： arXiv 2023

作者： Chen, Jinzhou¹; He, Hongwen¹; Quan, Shengwei¹; Wei, Zhongbao¹; Zhang, Zhendong¹; Zhang, Jun¹

出处： 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 Milan, Italy 2023

作者： Yan Yan;Da Song;Yue Jin;Yujun Deng;Chunjian Wang;Tao Huang;Yuanhong Tang;Yu Yang;Yun Zhang;Zhe Wang;Zhifang Dong;Yuetian Wang;Juan Zhao;Junjun Ni;Hui Li;Jun Zhang;Yiran Lang;Yili Wu;Hong Qing;Zhenzhen Quan （¹ Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China. ² Shandong Key Laboratory of Behavioral Medicine, Shandong Collaborative Innovation Center for Diagnosis, Treatment & Behavioral Interventions of Mental Disorders, School of Mental Health, Jining Medical University, Jining, 272013, China. ³ Advanced Innovation Center for Human Brain Protection, Capital Medical University; The National Clinical Research Center for Geriatric Disease, Xuanwu Hospital, Capital Medical University, Beijing, 100069, China. ⁴ Ministry of Education Key Laboratory of Child Development and Disorders, National Research Center for Child Health and Disorders, Chongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory Disorders, Children\'s Hospital of Chongqing Medical University, Chongqing, 400014, China. ⁵ Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China. ⁶ Shandong Key Laboratory of Behavioral Medicine, Shandong Collaborative Innovation Center for Diagnosis, Treatment & Behavioral Interventions of Mental Disorders, School of Mental Health, Jining Medical University, Jining, 272013, China. wu_yili@aliyun.com. ⁷ Key Laboratory of Alzheimer\'s Disease of Zhejiang Province, School of Mental Health, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China. wu_yili@aliyun.com. ⁸ Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China. hqing@bit.edu.cn. ⁹ Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China. qzzbit2015@bit.edu.cn.）

出处： Translational psychiatry 2023 Vol.13 No.1 P79

关键词： BASAL FOREBRAIN;ENGRAM CELLS;AMYGDALA;PLASTICITY;SYSTEMS

摘要： Animals need discriminating auditory fear memory (DAFM) to survive, but the related neural circuits of DAFM remain largely unknown. Our study shows th ...