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Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning 期刊论文
AMERICAN JOURNAL OF PATHOLOGY, 2023, 卷号: 193, 期号: 12, 页码: 2111-2121
作者:  Sun, Caixia;  Luo, Tao;  Liu, Zhenyu;  Ge, Jia;  Shao, Lizhi;  Liu, Xiangyu;  Li, Bao;  Zhang, Song;  Qiu, Qi;  Wei, Wei;  Wang, Shuo;  Bian, Xiu-Wu;  Tian, Jie
收藏  |  浏览/下载：79/0  |  提交时间：2024/02/22
Self-Supervised Monocular Depth Estimation With Geometric Prior and Pixel-Level Sensitivity 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2244-2256
作者:  Liu, Jierui;  Cao, Zhiqiang;  Liu, Xilong;  Wang, Shuo;  Yu, Junzhi
收藏  |  浏览/下载：99/0  |  提交时间：2023/11/17
Estimation  Costs  Training  Sensitivity  Cameras  Optical flow  Semantics  Monocular depth estimation  self-supervised learning  prior feature consistency  sensitivity adaptation  
Mobility in China, 2020: a tale of four phases 期刊论文
NATIONAL SCIENCE REVIEW, 2021, 卷号: 8, 期号: 11, 页码: 11
作者:  Tan, Suoyi;  Lai, Shengjie;  Fang, Fan;  Cao, Ziqiang;  Sai, Bin;  Song, Bing;  Dai, Bitao;  Guo, Shuhui;  Liu, Chuchu;  Cai, Mengsi;  Wang, Tong;  Wang, Mengning;  Li, Jiaxu;  Chen, Saran;  Qin, Shuo;  Floyd, Jessica R.;  Cao, Zhidong;  Tan, Jing;  Sun, Xin;  Zhou, Tao;  Zhang, Wei;  Tatem, Andrew J.;  Holme, Petter;  Chen, Xiaohong;  Lu, Xin
收藏  |  浏览/下载：282/0  |  提交时间：2022/02/16
human mobility  travel restrictions  COVID-19  mobile phone data  behavioral response  
Manipulation Skill Learning on Multi-step Complex Task Based on Explicit and Implicit Curriculum Learning 期刊论文
SCIENCE CHINA Information Sciences, 2020, 卷号: 0, 期号: 0, 页码: 0-0
作者:  Liu, Naijun;  Lu, Tao;  Cai, Yinghao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(2456Kb)  |  收藏  |  浏览/下载：169/70  |  提交时间：2020/09/27
robot  manipulation skill learning  multi-step complex task  curriculum learning  
Real-Sim-Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 16
作者:  Liu, Naijun;  Cai, Yinghao;  Lu, Tao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：256/61  |  提交时间：2020/06/02
robot  policy learning  reality gap  simulated environment  deep reinforcement learning