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REACT: Remainder Adaptive Compensation for Domain Adaptive Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 3735-3748
作者:  Li, Haochen;  Zhang, Rui;  Yao, Hantao;  Zhang, Xin;  Hao, Yifan;  Song, Xinkai;  Li, Ling
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Unsupervised domain adaptation  domain adaptive object detection  feature extraction  prototypes  
Learning controllable elements oriented representations for reinforcement learning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 549, 页码: 13
作者:  Yi, Qi;  Zhang, Rui;  Peng, Shaohui;  Guo, Jiaming;  Hu, Xing;  Du, Zidong;  Guo, Qi;  Chen, Ruizhi;  Li, Ling;  Chen, Yunji
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
Reinforcement learning  Representation learning  
Local–Global Cross Fusion Network With Gaussian-Initialized Learnable Positional Prompting for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 16
作者:  Zhang, Xin;  Zhang, Rui;  Li, Ling;  Li, Wei
收藏  |  浏览/下载：9/0  |  提交时间：2024/05/20
3-D convolutional neural network (CNN)  hyperspectral image (HSI) classification  prompting  remote sensing  transformer  
Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 1, 页码: 209-222
作者:  Du, Zidong;  Guo, Qi;  Zhao, Yongwei;  Zeng, Xi;  Li, Ling;  Cheng, Limin;  Xu, Zhiwei;  Sun, Ninghui;  Chen, Yunji
收藏  |  浏览/下载：41/0  |  提交时间：2022/06/21
Deep learning  Central Processing Unit  Process control  Task analysis  Computational modeling  Pipelines  Runtime  Neural net accelerators  system architectures  interaction wall  
Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 7006-7019
作者:  Liu, Chang;  Zhang, Xishan;  Zhang, Rui;  Li, Ling;  Zhou, Shiyi;  Huang, Di;  Li, Zhen;  Du, Zidong;  Liu, Shaoli;  Chen, Tianshi
收藏  |  浏览/下载：19/0  |  提交时间：2023/07/12
Neural network acceleration  low precision training  quantization  
Editorial: Discrimination of Genuine and Posed Facial Expressions of Emotion 期刊论文
FRONTIERS IN NEUROSCIENCE, 2021, 卷号: 15, 页码: 2
作者:  Zhou, Huiyu;  Li, Ling;  Shan, Shiguang;  Wang, Shuo;  Liu, Jian K.
收藏  |  浏览/下载：44/0  |  提交时间：2021/12/01
discrimination  genuine  posed facial expressions  emotion  visual presentation  
A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21
作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo;  Jin, Pengwei;  Liu, Shaoli;  Li, Ling;  Chen, Yunji
收藏  |  浏览/下载：45/0  |  提交时间：2021/12/01
Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis  
ParaML: A Polyvalent Multicore Accelerator for Machine Learning 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 9, 页码: 1764-1777
作者:  Zhou, Shengyuan;  Guo, Qi;  Du, Zidong;  Liu, Daofu;  Chen, Tianshi;  Li, Ling;  Liu, Shaoli;  Zhou, Jinhong;  Temam, Olivier;  Feng, Xiaobing;  Zhou, Xuehai;  Chen, Yunji
收藏  |  浏览/下载：60/0  |  提交时间：2020/12/10
Neural networks  Machine learning  Testing  Support vector machines  Linear regression  Computers  Computer architecture  Accelerator  machine learning (ML) techniques  multicore accelerator  
Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 7, 页码: 968-985
作者:  Zeng, Xi;  Zhi, Tian;  Zhou, Xuda;  Du, Zidong;  Guo, Qi;  Liu, Shaoli;  Wang, Bingrui;  Wen, Yuanbo;  Wang, Chao;  Zhou, Xuehai;  Li, Ling;  Chen, Tianshi;  Sun, Ninghui;  Chen, Yunji
收藏  |  浏览/下载：60/0  |  提交时间：2020/12/10
Accelerator  architecture  deep neural networks  sparsity  
Machine Learning Computers With Fractal von Neumann Architecture 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 7, 页码: 998-1014
作者:  Zhao, Yongwei;  Fan, Zhe;  Du, Zidong;  Zhi, Tian;  Li, Ling;  Guo, Qi;  Liu, Shaoli;  Xu, Zhiwei;  Chen, Tianshi;  Chen, Yunji
收藏  |  浏览/下载：62/0  |  提交时间：2020/12/10
Machine learning  Computers  Fractals  Programming  Computer architecture  Graphics processing units  Matrix decomposition  Machine learning  architecture  neural networks  programming efficiency