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A Learning Method for Feature Correspondence with Outliers 会议论文
, 加拿大, 2022
作者:  Yang X(杨旭);  Shao-Feng Zeng;  Yu Han;  Yuchen Lu;  Zhi-Yong Liu
Adobe PDF(5861Kb)  |  收藏  |  浏览/下载：24/8  |  提交时间：2024/06/21
Perception for Coupler Rod of Freight Train Based on Image and Point Clouds 会议论文
, Xiamen, China, 25-27 November 2022
作者:  Renjie Guo;  Jun Feng;  Huachang Yang;  Dejie Luan3;  Guodong Yang;  En Li
Adobe PDF(463Kb)  |  收藏  |  浏览/下载：110/38  |  提交时间：2023/06/27
A Fast Radio Burst Backend for the Tianlai Dish Pathfinder Array 期刊论文
Research in Astronomy and Astrophysics, 2022, 卷号: 22, 期号: 12
作者:  Yu,Zijie;  Deng,Furen;  Sun,Shijie;  Niu,Chenhui;  Li,Jixia;  Wu,Fengquan;  Wang,Wei-Yang;  Wang,Yougang;  Feng,Hui;  Shu,Lin;  Hao,Jie;  Ansari,Reza;  Stebbins,Albert;  Chen,Xuelei
收藏  |  浏览/下载：164/0  |  提交时间：2023/05/31
instrumentation: miscellaneous  techniques: interferometric  telescopes  radio continuum: general  (stars:) pulsars: general  
Highly sensitive magnetic particle imaging of vulnerable atherosclerotic plaque with active myeloperoxidase-targeted nanoparticles (vol 11, pg 506, 2021) 期刊论文
THERANOSTICS, 2022, 卷号: 12, 期号: 17, 页码: 7641-7641
作者:  Tong, Wei;  Hui, Hui;  Shang, Wenting;  Zhang, Yingqian;  Tian, Feng;  Ma, Qiang;  Yang, Xin;  Tian, Jie;  Chen, Yundai
收藏  |  浏览/下载：108/0  |  提交时间：2023/03/20
Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 12, 页码: 5896-5909
作者:  Zhang, Feng;  Liu, Yani;  Feng, Ningxuan;  Yang, Cheng;  Zhai, Jidong;  Zhang, Shuhao;  He, Bingsheng;  Lin, Jiazao;  Zhang, Xiao;  Du, Xiaoyong
收藏  |  浏览/下载：351/0  |  提交时间：2022/12/27
Meteorology  Predictive models  COVID-19  Logic gates  Urban areas  Recurrent neural networks  Mathematical model  Periodic  weather-aware  LSTM  event mechanism  parking behavior prediction  COVID-19  
Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalization 期刊论文
NEUROCOMPUTING, 2022, 卷号: 511, 页码: 175-186
作者:  Yang, Yukuan;  Chi, Xiaowei;  Deng, Lei;  Yan, Tianyi;  Gao, Feng;  Li, Guoqi
收藏  |  浏览/下载：238/0  |  提交时间：2022/11/21
Full 8-bit quantization  Network without batch normalization  Small batch  Online training  Resource-limited devices  
Sparse phase retrieval using a physics-informed neural network for Fourier ptychographic microscopy 期刊论文
OPTICS LETTERS, 2022, 卷号: 47, 期号: 19, 页码: 4909-4912
作者:  Zhang, Z. H. O. N. G. H. U. A.;  Wang, T. I. A. N.;  Feng, S. H. A. O. W. E., I;  Yang, Y. O. N. G. X. I. N.;  Lai, C. H. U. N. H. O. N. G.;  LI, X. I. N. W. E. I.;  Shao, L. I. Z. H. I.;  Jiang, X. I. A. O. M. I. N. G.
收藏  |  浏览/下载：168/0  |  提交时间：2022/11/14
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:  Liang, Maohan;  Liu, Ryan Wen;  Zhan, Yang;  Li, Huanhuan;  Zhu, Fenghua;  Wang, Fei-Yue
收藏  |  浏览/下载：183/0  |  提交时间：2022/11/14
Traffic flow prediction  maritime traffic network  multi-graph convolutional network  automatic identification system (AIS)  
Carbonic anhydrase IX stratifies patient prognosis and identifies nodal status in animal models of nasopharyngeal carcinoma using a targeted imaging strategy 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 13
作者:  Huang, Wenhui;  Wang, Kun;  Huang, Weiyuan;  He, Zicong;  Zhang, Jingming;  Zhang, Bin;  Xiong, Zhiyuan;  Gillen, Kelly McCabe;  Li, Wenzhe;  Chen, Feng;  Yang, Xing;  Zhang, Shuixing;  Tian, Jie
收藏  |  浏览/下载：317/0  |  提交时间：2022/09/19
Carbonic anhydrase IX  Nasopharyngeal carcinoma  Extranodal extension  Occult lymph node metastasis  Ultrasonography-guided spectroscopic photoacoustic imaging  
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 5121-5133
作者:  Yang, Li;  Xu, Yan;  Wang, Shaoru;  Yuan, Chunfeng;  Zhang, Ziqi;  Li, Bing;  Hu, Weiming
Adobe PDF(3190Kb)  |  收藏  |  浏览/下载：320/41  |  提交时间：2022/09/19
Object detection  prediction decoupling  convolutional neural network