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CASIA OpenIR

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An Underwater Robotic System With a Soft Continuum Manipulator for Autonomous Aquatic Grasping 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Liu, Jiaqi;  Song, Zhuheng;  Lu, Yue;  Yang, Hui;  Chen, Xingyu;  Duo, Youning;  Chen, Bohan;  Kong, Shihan;  Shao, Zhuyin;  Gong, Zheyuan;  Wang, Shiqiang;  Ding, Xilun;  Yu, Junzhi;  Wen, Li
收藏  |  浏览/下载：75/0  |  提交时间：2023/12/21
Grasping  Robots  Soft robotics  Manipulator dynamics  Task analysis  Robot kinematics  Biology  Machine learning  soft robotics  underwater grasping  
Efficient spatiotemporal context modeling for action recognition 期刊论文
NEUROCOMPUTING, 2023, 卷号: 545, 页码: 13
作者:  Cao, Congqi;  Lu, Yue;  Zhang, Yifan;  Jiang, Dongmei;  Zhang, Yanning
收藏  |  浏览/下载：55/0  |  提交时间：2023/11/17
Action recognition  Long -range context modeling  Spatiotemporal feature map  Attention module  Relation  
Zero-shot language extension for dialogue state tracking via pre-trained models and multi-auxiliary-tasks fine-tuning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 259, 页码: 14
作者:  Xiang, Lu;  Zhao, Yang;  Zhu, Junnan;  Zhou, Yu;  Zong, Chengqing
收藏  |  浏览/下载：108/0  |  提交时间：2023/03/20
Dialogue state tracking  Zero -shot language extension  Multilingual DST  Pre -trained models  Multi -auxiliary -tasks fine-tuning  
Towards Unified Multi-Domain Machine Translation With Mixture of Domain Experts 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 卷号: 31, 页码: 3488-3498
作者:  Lu, Jinliang;  Zhang, Jiajun
收藏  |  浏览/下载：67/0  |  提交时间：2023/12/21
Training  Adaptation models  Transformers  Task analysis  Speech processing  Machine translation  Switches  Machine Translation  Multi-domain  Mixture-of-expert  
CANet: Co-attention network for RGB-D semantic segmentation 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 11
作者:  Zhou, Hao;  Qi, Lu;  Huang, Hai;  Yang, Xu;  Wan, Zhaoliang;  Wen, Xianglong
收藏  |  浏览/下载：197/0  |  提交时间：2022/02/16
RGB-D  Multi -modal fusion  Co-attention  Semantic segmentation  
Picking out the Impurities: Attention-based Push-Grasping in Dense Clutter 期刊论文
ROBOTICA, 2022, 页码: 16
作者:  Lu, Ning;  Cai, Yinghao;  Lu, Tao;  Cao, Xiaoge;  Guo, Weiyan;  Wang, Shuo
收藏  |  浏览/下载：172/0  |  提交时间：2022/06/10
saliency Detection  robot Learning  push-grasp  target-oriented Grasping  deep Q Network  
A Spatiotemporal Neural Network Model for Estimated-Time-of-Arrival Prediction of Flights in a Terminal Maneuvering Area 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2022, 页码: 14
作者:  Ma, Yan;  Du, Wenbo;  Chen, Jun;  Thong, Yu;  Lv, Yisheng;  Coo, Xianbin
收藏  |  浏览/下载：130/0  |  提交时间：2022/02/16
Trajectory  Predictive models  Boosting  Atmospheric modeling  Spatiotemporal phenomena  Meteorology  Prediction algorithms  
Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3690-3700
作者:  Shao, Lizhi;  Liu, Zhenyu;  Yan, Ye;  Liu, Jiangang;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：262/0  |  提交时间：2021/12/28
Magnetic resonance imaging  Principal component analysis  Pathology  Lesions  Optimization  Task analysis  Predictive models  Gleason score  prostate cancer  patient-level prediction  joint optimization  MRI  reinforcement learning  
Improving University Faculty Evaluations via multi-view Knowledge Graph 期刊论文
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2021, 卷号: 117, 页码: 181-192
作者:  Lin, Qika;  Zhu, Yifan;  Lu, Hao;  Shi, Kaize;  Niu, Zhendong
收藏  |  浏览/下载：198/0  |  提交时间：2021/03/29
University faculty evaluation  Knowledge graph  Academic development prediction  E-learning  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载：243/23  |  提交时间：2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)