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Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 141, 页码: 239-246
Authors:  Wei, Wei;  Wang, Ke;  Liu, Zhenyu;  Tian, Kaibing;  Wang, Liang;  Du, Jiang;  Ma, Junpeng;  Wang, Shuo;  Li, Longfei;  Zhao, Rui;  Cui, Luo;  Wu, Zhen;  Tian, Jie
Favorite  |  View/Download:2/0  |  Submit date:2020/03/30
Biomarkers  Magnetic resonance imaging  Prognosis  Progression-free survival  Radiomics  Skull base chordoma  
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
Authors:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Favorite  |  View/Download:25/0  |  Submit date:2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
Model-Free Reinforcement Learning based Lateral Control for Lane Keeping 会议论文
, Budapest, Hungary, July 14-19
Authors:  Zhang Qichao;  Luo Rui;  Zhao Dongbin;  Qian Dianwei
Favorite  |  View/Download:18/0  |  Submit date:2019/10/09
Arginine-Rich Manganese Silicate Nanobubbles as a Ferroptosis-Inducing Agent for Tumor-Targeted Theranostics 期刊论文
ACS NANO, 2018, 卷号: 12, 期号: 12, 页码: 12380-12392
Authors:  Wang, Shuaifei;  Li, Fangyuan;  Qiao, Ruirui;  Hu, Xi;  Liao, Honrei;  Chen, Lumin;  Wu, Jiahe;  Wu, Haibin;  Zhao, Meng;  Liu, Jianan;  Chen, Rui;  Ma, Xibo;  Kim, Dokyoon;  Sun, Jihong;  Davis, Thomas P.;  Chen, Chunying;  Tian, Jie;  Hyeon, Taeghwan;  Ling, Daishun
Favorite  |  View/Download:18/0  |  Submit date:2019/07/12
nanobubbles  glutathione  GPX4  ferroptosis  theranostics  
Bilateral Ordinal Relevance Multi-instance Regression for Facial Action Unit Intensity Estimation 会议论文
IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, 2018-6
Authors:  Yong Zhang;  Rui Zhao;  Weiming Dong;  Bao-Gang Hu;  Qiang Ji
Favorite  |  View/Download:24/0  |  Submit date:2019/06/19
Carbon Stars Identified from LAMOST DR4 Using Machine Learning 期刊论文
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2018, 卷号: 234, 期号: 2
Authors:  Li, Yin-Bi;  Luo, A-Li;  Du, Chang-De;  Zuo, Fang;  Wang, Meng-Xin;  Zhao, Gang;  Jiang, Bi-Wei;  Zhang, Hua-Wei;  Liu, Chao;  Qin, Li;  Wang, Rui;  Du, Bing;  Guo, Yan-Xin;  Wang, Bo;  Han, Zhan-Wen;  Xiang, Mao-Sheng;  Huang, Yang;  Chen, Bing-Qiu;  Chen, Jian-Jun;  Kong, Xiao;  Hou, Wen;  Song, Yi-Han;  Wang, You-Fen;  Wu, Ke-Fei;  Zhang, Jian-Nan;  Zhang, Yong;  Wang, Yue-Fei;  Cao, Zi-Huang;  Hou, Yong-Hui;  Zhao, Yong-Heng
Favorite  |  View/Download:26/0  |  Submit date:2019/07/11
Material: Machine-readable Table  
Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation 会议论文
, Honolulu, Hawaii, USA, July 2017
Authors:  cheng, yanhua;  cai, rui;  li, zhiwei;  zhao, xin;  Huang KQ(黄凯奇)
View  |  Adobe PDF(803Kb)  |  Favorite  |  View/Download:105/18  |  Submit date:2018/01/08
Hybrid wireless sensor network for rescue site monitoring after earthquake 期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2016, 卷号: 10
Authors:  Wang, Rui;  Wang, Shuo;  Tang, Chong;  Zhao, Xiaoguang;  Hu, Weijian;  Tan, Min;  Gao, Bowei
Favorite  |  View/Download:67/0  |  Submit date:2017/02/14
Wireless Sensor Network  Earthquake Disaster  Environment Monitoring  Monitor Node  Sensor Node  Image Transmission  
Colour image demosaicking via joint intra and inter channel information 期刊论文
ELECTRONICS LETTERS, 2016, 卷号: 52, 期号: 8, 页码: 605-606
Authors:  Yu, Tingzhao;  Hu, Wenrui;  Xue, Wei;  Zhang, Wensheng;  Tingzhao Yu
View  |  Adobe PDF(315Kb)  |  Favorite  |  View/Download:157/44  |  Submit date:2016/06/30
Demosaicking  
Semi-supervised Multimodal Deep Learning for RGB-D Object Recognition 会议论文
Proc. International Joint Conference on Artificial Intelligence 2016, New York, USA, 2016-07-01
Authors:  Yanhua Cheng;  Xin Zhao;  Rui Cai;  Zhiwei Li;  Kaiqi Huang;  Yong Rui
View  |  Adobe PDF(1766Kb)  |  Favorite  |  View/Download:432/170  |  Submit date:2016/12/30
Semi-supervised