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Consensus-Agent Deep Reinforcement Learning for Face Aging 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1795-1809
作者:  Lin, Ling;  Liu, Hao;  Liang, Jinqiao;  Li, Zhendong;  Feng, Jiao;  Han, Hu
收藏  |  浏览/下载:10/0  |  提交时间:2024/05/20
Face aging  deep reinforcement learning  Markov decision process  
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  
GLIM-Net: Chronic Glaucoma Forecast Transformer for Irregularly Sampled Sequential Fundus Images 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 6, 页码: 1875-1884
作者:  Hu, Xiaoyan;  Zhang, Ling-Xiao;  Gao, Lin;  Dai, Weiwei;  Han, Xiaoguang;  Lai, Yu-Kun;  Chen, Yiqiang
收藏  |  浏览/下载:14/0  |  提交时间:2023/12/04
Transformers  Feature extraction  Predictive models  Image segmentation  Deep learning  Biomedical imaging  Task analysis  Glaucoma forecast  transformer  attention mechanism  fundus image  
香山开源高性能RISC-V处理器设计与实现 期刊论文
计算机研究与发展, 2023, 卷号: 60, 期号: 3, 页码: 476
作者:  王凯帆;  徐易难;  余子濠;  唐丹;  陈国凯;  陈熙;  勾凌睿;  胡轩;  金越;  李乾若;  李昕;  蔺嘉炜;  刘彤;  刘志刚;  王华强;  王诲喆;  张传奇;  张发旺;  张林隽;  张紫飞;  张梓悦;  赵阳洋;  周耀阳;  邹江瑞;  蔡晔;  郇丹丹;  李祖松;  赵继业;  何伟;  孙凝晖;  包云岗
收藏  |  浏览/下载:15/0  |  提交时间:2024/05/20
RISC-V  high performance processor  open source  chip design  agile development  RISC-V  高性能处理器  开源  芯片设计  敏捷开发  
A Systematic View of Model Leakage Risks in Deep Neural Network Systems 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3254-3267
作者:  Hu, Xing;  Liang, Ling;  Chen, Xiaobing;  Deng, Lei;  Ji, Yu;  Ding, Yufei;  Du, Zidong;  Guo, Qi;  Sherwood, Tim;  Xie, Yuan
收藏  |  浏览/下载:22/0  |  提交时间:2023/07/12
Domain-specific architecture  deep learning security  model security  
Scalable algorithm simplification using quantum AND logic 期刊论文
NATURE PHYSICS, 2022, 页码: 7
作者:  Chu, Ji;  He, Xiaoyu;  Zhou, Yuxuan;  Yuan, Jiahao;  Zhang, Libo;  Guo, Qihao;  Hai, Yongju;  Han, Zhikun;  Hu, Chang-Kang;  Huang, Wenhui;  Jia, Hao;  Jiao, Dawei;  Li, Sai;  Liu, Yang;  Ni, Zhongchu;  Nie, Lifu;  Pan, Xianchuang;  Qiu, Jiawei;  Wei, Weiwei;  Nuerbolati, Wuerkaixi;  Yang, Zusheng;  Zhang, Jiajian;  Zhang, Zhida;  Zou, Wanjing;  Chen, Yuanzhen;  Deng, Xiaowei;  Deng, Xiuhao;  Hu, Ling;  Li, Jian;  Liu, Song;  Lu, Yao;  Niu, Jingjing;  Tan, Dian;  Xu, Yuan;  Yan, Tongxing;  Zhong, Youpeng;  Yan, Fei;  Sun, Xiaoming;  Yu, Dapeng
收藏  |  浏览/下载:24/0  |  提交时间:2023/07/12
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 4, 页码: 936-949
作者:  Chen, Xiaobing;  Wang, Yuke;  Xie, Xinfeng;  Hu, Xing;  Basak, Abanti;  Liang, Ling;  Yan, Mingyu;  Deng, Lei;  Ding, Yufei;  Du, Zidong;  Xie, Yuan
收藏  |  浏览/下载:32/0  |  提交时间:2022/12/07
Deep learning accelerator  graph neural network (GNN)  
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Deng, Lei;  Wu, Yujie;  Hu, Yifan;  Liang, Ling;  Li, Guoqi;  Hu, Xing;  Ding, Yufei;  Li, Peng;  Xie, Yuan
收藏  |  浏览/下载:37/0  |  提交时间:2022/06/21
Neurons  Computational modeling  Quantization (signal)  Optimization  Encoding  Task analysis  Synapses  Activity regularization  alternating direction method of multiplier (ADMM)  connection pruning  spiking neural network (SNN) compression  weight quantization  
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Liang, Ling;  Hu, Xing;  Deng, Lei;  Wu, Yujie;  Li, Guoqi;  Ding, Yufei;  Li, Peng;  Xie, Yuan
收藏  |  浏览/下载:36/0  |  提交时间:2022/06/21
Spatiotemporal phenomena  Computational modeling  Perturbation methods  Biological neural networks  Backpropagation  Unsupervised learning  Training  Adversarial attack  backpropagation through time (BPTT)  neuromorphic computing  spike-compatible gradient  spiking neural networks (SNNs)  
Practical Attacks on Deep Neural Networks by Memory Trojaning 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 6, 页码: 1230-1243
作者:  Hu, Xing;  Zhao, Yang;  Deng, Lei;  Liang, Ling;  Zuo, Pengfei;  Ye, Jing;  Lin, Yingyan;  Xie, Yuan
收藏  |  浏览/下载:46/0  |  提交时间:2021/12/01
Trojan horses  Hardware  Integrated circuit modeling  Computational modeling  Security  Payloads  Convolutional neural networks (CNNs)  deep learning accelerator  deep learning attack  hardware Trojan