李欣
作者: Yang, Fuhao1; Li, Xin1; Wang, Min1; Zang, Hongyu1; Pang, Wei2; Wang, Mingzhong3
出处: 37th AAAI Conference on Artificial Intelligence, AAAI 2023 Washington, DC, United states 2023
会议录: Vol.37 10754-10761
作者: 汪韬阳,洪建智,张过,蒋永华,李欣,董天成,韩煜祺,王京印,杨亚鹏,徐从安 (武汉大学遥感信息工程学院;武汉大学测绘遥感信息工程国家重点实验室;清华大学计算机系;北京跟踪与通信技术研究所;91977部队;海军航空大学信息融合研究所;北京理工大学前沿技术研究院)
出处: 测绘学报 2023 第10期
关键词: 光学卫星视频;对地目标定位;运动状态估计;舰船目标;精度
摘要: 光学卫星视频能够进行动目标连续监视,已成为当前研究热点。但目前多数研究仅针对基于视频像方的目标检测、跟踪及轨迹提取等方面,没有充分利用卫星载荷成像几何模型进行物方运动状态定量估计和精度验证。因此,本文提出一种基于光学卫星视频的舰船目标运动状态定量估计方法,首先对卫星视频首帧进行精确定向;然后通过帧间 ...
作者: Zhao, Jinhui1;Ji, Pengfei1,2;Lin, Gen1;Li, Xin1;Zhang, Xueqiang1 (1Beijing Inst Technol, Sch Mech Engn, Laser Micro Nanofabricat Lab, Beijing, Peoples R China.;2Beijing Inst Technol, Sch Mech Engn, Laser Micro Nanofabricat Lab, Beijing 100081, Peoples R China.)
出处: POLYMER COMPOSITES 2023 Vol.44 No.8 P5232-5246
关键词: INDUCED DAMAGE; DEPENDENCE; MORPHOLOGY; BEHAVIOR
摘要: Focusing on the femtosecond laser processing of carbon fiber reinforced polymer (CFRP), the ablation threshold is of great concern to fulfill the manu ...
作者: Li, Xin1;Lei, Haojie1;Zhang, Li1;Wang, Mingzhong2 (1Beijing Inst Technol, Dept Comp Sci, Beijing 100081, Peoples R China.;2Univ Sunshine Coast, Sippy Downs, Qld 4556, Australia.)
出处: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2023 Vol.45 No.10 P11654-11667
关键词: MIRROR DESCENT; NONSMOOTH
摘要: The interpretability of policies remains an important challenge in Deep Reinforcement Learning (DRL). This paper explores interpretable DRL via repres ...
作者: Gao, Yanjun1;Zhang, Shaohua1;Xu, Lingrui1;Li, Xiangyang1;Li, Lijie2;Bao, Lixia3;Peng, Jiong1;Li, Xin1 (1Beijing Inst Technol, Sch Chem & Chem Engn, Beijing 100081, Peoples R China.;2Beijing Inst Technol, Sch Mat Sci & Engn, Beijing 100081, Peoples R China.;3Beijing Inst Technol, Anal & Testing Ctr, Beijing 100081, Peoples R China.)
出处: JOURNAL OF ENERGY CHEMISTRY 2023 Vol.83 P465-477
关键词: HYDROGEN EVOLUTION; HIGH-PERFORMANCE; LITHIUM-ION; REACTION-KINETICS; GRAPHENE OXIDE; SODIUM STORAGE; HETEROJUNCTION; CARBON; NITRIDE; ELECTRODE
摘要: The development of potential transition-metal carbide/nitride heterojunctions is hindered by overall understanding and precise modulation for heteroin ...
作者: Zang, Hongyu1; Li, Xin1; Zhang, Leiji1; Liu, Yang2; Sun, Baigui2; Islam, Riashat3; des Combes, Rémi Tachet4; Laroche, Romain4 (1Beijing Institute of Technology, China;2Alibaba Group, China;3McGill University, Mila, Quebec AI Institute, Canada;4Wayve, United Kingdom)
出处: arXiv 2023
作者: Yuan, Ye1; Li, Xin1; Heng, Yong2; Zhang, Leiji1; Wang, MingZhong3 (1Beijing Institute of Technology, China;2Beijing Institute of Electronic System Engineering, Beijing; 100854, China;3University of the Sunshine Coast, Australia)
出处: arXiv 2023
作者: Liu, Chen1; Zang, Hongyu1; Li, Xin1; Heng, Yong2; Wang, Yifei3; Fang, Zhen1; Wang, Yisen4, 5; Wang, Mingzhong6 (1Beijing Institute of Technology, China;2Beijing Institute of Electronic System Engineering, Beijing; 100854, China;3School of Mathematical Sciences, Peking University, China;4National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, China;5Institute for Artificial Intelligence, Peking University, China;6University of the Sunshine Coast, Australia)
出处: arXiv 2023
作者: Zhao, Peiyao1;Pan, Yuangang2;Li, Xin1;Chen, Xu3;Tsang, Ivor W.2;Liao, Lejian1; (1School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;2ASTAR Center for Frontier AI Research, Singapore, Singapore;3Alibaba Group, Hangzhou, China)
出处: IEEE Transactions on Neural Networks and Learning Systems 2023 P1-13
摘要: Inspired by the impressive success of contrastive learning (CL), a variety of graph augmentation strategies have been employed to learn node represent ...
作者: Liu, Li1; Chen, Penggang1; Li, Xin2; Cheung, William K.3; Zhang, Youmin1; Liu, Qun1; Wang, Guoyin1 (1Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, China;2Beijing Institute of Technology, Beijing, China;3Hong Kong Baptist University, Hong Kong, China)
出处: IEEE Transactions on Knowledge and Data Engineering 2023 P1-14