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Xichuan Zhou
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2020 – today
- 2024
- [j50]Mahmood Ashraf
, Xichuan Zhou, Gemine Vivone
Spatial-Spectral BERT for Hyperspectral Image Classification. Remote. Sens. 16(3): 539 (2024) - [j49]Mahmood Ashraf
A Joint Architecture of Mixed-Attention Transformer and Octave Module for Hyperspectral Image Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4331-4349 (2024) - [j48]Yingjun Xia
Theory and Low-Power Design of Moving Accumulative Sign Filter. IEEE Trans. Circuits Syst. I Regul. Pap. 71(6): 2511-2524 (2024) - [j47]Haijun Liu
MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j46]Xichuan Zhou
MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j45]Xichuan Zhou
BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [i10]Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou:
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution. CoRR abs/2409.04050 (2024) - 2023
- [j44]Cong Shi, Junxian He, Shrinivas J. Pundlik, Xichuan Zhou, Nanjian Wu, Gang Luo:
Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests. Sci. China Inf. Sci. 66(5) (2023) - [j43]Xichuan Zhou, Dongshan Lei, Chunqiao Long, Jing Nie
InfraNet: Accurate forehead temperature measurement framework for people in the wild with monocular thermal infrared camera. Neural Networks 166: 501-511 (2023) - [j42]Jialong Liu
Multi-Scale FPGA-Based Infrared Image Enhancement by Using RGF and CLAHE. Sensors 23(19): 8101 (2023) - [j41]Xiangfei Shen
Efficient Hyperspectral Sparse Regression Unmixing With Multilayers. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j40]Xiangfei Shen
Matrix Factorization With Framelet and Saliency Priors for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j39]Xichuan Zhou
Cellular Binary Neural Network for Accurate Image Classification and Semantic Segmentation. IEEE Trans. Multim. 25: 8064-8075 (2023) - [c16]Zhengqing Zhong, Tengxiao Wang, Haibing Wang, Zhihua Zhou, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi:
Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip. AICAS 2023: 1-2 - [c15]Tengxiao Wang, Min Tian, Zhengqing Zhong, Haibing Wang, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Nanjian Wu, Liyuan Liu, Cong Shi:
MorphBungee: A 65nm 7.2mm2 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning. A-SSCC 2023: 1-3 - 2022
- [j38]Xiangfei Shen
Superpixel-Guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j37]Fenglei Chen, Haijun Liu
BES-Net: Boundary Enhancing Semantic Context Network for High-Resolution Image Semantic Segmentation. Remote. Sens. 14(7): 1638 (2022) - [j36]Xichuan Zhou
LC-BiDet: Laterally Connected Binary Detector With Efficient Image Processing. IEEE Signal Process. Lett. 29: 1262-1266 (2022) - [j35]Haibing Wang, Zhen He
TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity. IEEE Trans. Biomed. Circuits Syst. 16(4): 636-650 (2022) - [j34]Zhen He, Cong Shi
A Low-Cost FPGA Implementation of Spiking Extreme Learning Machine With On-Chip Reward-Modulated STDP Learning. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1657-1661 (2022) - [j33]Xiangfei Shen
Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c14]Tengxiao Wang, Haibing Wang, Junxian He, Zhengqing Zhong, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi:
MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks. BioCAS 2022: 255-259 - 2021
- [j32]Tengxiao Wang, Cong Shi, Xichuan Zhou, Yingcheng Lin, Junxian He, Ping Gan, Ping Li, Ying Wang, Liyuan Liu, Nanjian Wu, Gang Luo
CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features. Neurocomputing 425: 96-106 (2021) - [j31]Kai Qin, Fangyuan Ge, Yingjun Zhao, Ling Zhu, Ming Li
Hapke Data Augmentation for Deep Learning-Based Hyperspectral Data Analysis With Limited Samples. IEEE Geosci. Remote. Sens. Lett. 18(5): 886-890 (2021) - [j30]Ling Zhang, Jing Yang, Cong Shi, Yingcheng Lin
A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps. Sensors 21(18): 6006 (2021) - [j29]Haijun Liu
Strong but Simple Baseline With Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification. IEEE Signal Process. Lett. 28: 653-657 (2021) - [j28]Wei He, Jie Zhang, Yingcheng Lin, Xichuan Zhou
A Low-Cost High-Speed Object Tracking VLSI System Based on Unified Textural and Dynamic Compressive Features. IEEE Trans. Circuits Syst. II Express Briefs 68(3): 1013-1017 (2021) - [j27]Haijun Liu
Parameter Sharing Exploration and Hetero-Center Triplet Loss for Visible-Thermal Person Re-Identification. IEEE Trans. Multim. 23: 4414-4425 (2021) - [c13]Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu:
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization. AAAI 2021: 3590-3598 - [c12]Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi:
A Pixel-Parallel Array Processor without Computational Logic for Computational Image Sensors. ICTA 2021: 51-52 - [c11]Haibing Wang, Zhen He, Jinsong Rao, Tengxiao Wang, Junxian He, Min Tian, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Cong Shi:
TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning. ICTA 2021: 88-89 - [c10]Shuai Zhang, Fangyuan Ge, Rui Ding, Haijun Liu, Xichuan Zhou:
Learning to Binarize Convolutional Neural Networks with Adaptive Neural Encoder. IJCNN 2021: 1-8 - [c9]Xichuan Zhou, Zhenghua Zhou, Zhengqing Zhong, Jianyi Yu, Tengxiao Wang, Min Tian, Ying Jiang, Cong Shi:
A Heterogeneous Spiking Neural Network for Computationally Efficient Face Recognition. ISCAS 2021: 1-5 - 2020
- [j26]Yixing Li
Build a compact binary neural network through bit-level sensitivity and data pruning. Neurocomputing 398: 45-54 (2020) - [j25]Dong Li, Haining Ma, Hongqing Liu, Zhanye Chen
An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation. Remote. Sens. 12(3): 378 (2020) - [j24]Xinzheng Zhang
Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection. Remote. Sens. 12(3): 548 (2020) - [j23]Wei He, Jinguo Huang, Tengxiao Wang, Yingcheng Lin
A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification. Sensors 20(17): 4715 (2020) - [j22]Fang Tang, Zhipeng Li, Tongbei Yang, Lai Zhang, Xichuan Zhou, Shengdong Hu, Zhi Lin
A Noise-Reduced Light-to-Frequency Converter for Sub-0.1% Perfusion Index Blood SpO$_{\text 2}$ Sensing. IEEE Trans. Biomed. Circuits Syst. 14(5): 931-941 (2020) - [c8]Zheyu Yan, Yiyu Shi, Wang Liao, Masanori Hashimoto
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies. ASP-DAC 2020: 163-168 - [c7]Fuxiang Huang, Lei Zhang, Yang Yang, Xichuan Zhou:
Probability Weighted Compact Feature for Domain Adaptive Retrieval. CVPR 2020: 9579-9588 - [c6]Xichuan Zhou, Yicong Peng, Chunqiao Long, Fengbo Ren, Cong Shi:
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time. ICML 2020: 11503-11512 - [c5]Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Ying Jiang, Liyuan Liu, Nanjian Wu, Cong Shi:
A High-speed Low-cost CNN Inference Accelerator for Depthwise Separable Convolution. ICTA 2020: 63-64 - [i9]Xinzheng Zhang, Guo Liu, Ce Zhang
Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection. CoRR abs/2001.06252 (2020) - [i8]Fuxiang Huang, Lei Zhang, Yang Yang, Xichuan Zhou:
Probability Weighted Compact Feature for Domain Adaptive Retrieval. CoRR abs/2003.03293 (2020) - [i7]Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu:
Neural Network Activation Quantization with Bitwise Information Bottlenecks. CoRR abs/2006.05210 (2020) - [i6]Xichuan Zhou, Yicong Peng, Chunqiao Long, Fengbo Ren, Cong Shi:
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time. CoRR abs/2006.16007 (2020) - [i5]Haijun Liu, Yanxia Chai, Xiaoheng Tan, Dong Li, Xichuan Zhou:
Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification. CoRR abs/2012.05010 (2020)
2010 – 2019
- 2019
- [j21]Xichuan Zhou
A deep manifold learning approach for spatial-spectral classification with limited labeled training samples. Neurocomputing 331: 138-149 (2019) - [j20]Jianxin Cao, Shujun Liu
Sparse representation of classified patches for CS-MRI reconstruction. Neurocomputing 339: 255-269 (2019) - [j19]Xinzheng Zhang
PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features. Remote. Sens. 11(15): 1831 (2019) - [j18]Fang Tang
A Low Power and Fast Tracking Light-to-Frequency Converter With Adaptive Power Scaling for Blood SpO2 Sensing. IEEE Trans. Biomed. Circuits Syst. 13(1): 26-37 (2019) - [j17]Yujie Feng, Fan Yang
A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1794-1801 (2019) - [c4]Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo:
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression. AAAI 2019: 5949-5956 - [c3]Junxian He, Xichuan Zhou, Yingcheng Lin, Chonglei Sun, Cong Shi, Nanjian Wu, Gang Luo
20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip. ASICON 2019: 1-4 - [c2]Jinguo Huang, Yingcheng Lin, Wei He, Xichuan Zhou, Cong Shi, Nanjian Wu, Gang Luo
High-speed Classification of AER Data Based on a Low-cost Hardware System. ASICON 2019: 1-4 - [i4]Zheyu Yan, Yiyu Shi, Wang Liao, Masanori Hashimoto, Xichuan Zhou, Cheng Zhuo:
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies. CoRR abs/1909.04697 (2019) - 2018
- [j16]Yongming Li, Tingjie Xie, Pin Wang, Jie Wang, Shujun Liu, Xichuan Zhou, Xinzheng Zhang:
Joint spectral-spatial hyperspectral image classification based on hierarchical subspace switch ensemble learning algorithm. Appl. Intell. 48(11): 4128-4148 (2018) - [j15]Ting Yang, Shujun Liu
Noise benefits parameter estimation in LMMSE sense. Digit. Signal Process. 73: 153-163 (2018) - [j14]Shujun Liu
MRI reconstruction via enhanced group sparsity and nonconvex regularization. Neurocomputing 272: 108-121 (2018) - [j13]Shujun Liu
CS-MRI reconstruction via group-based eigenvalue decomposition and estimation. Neurocomputing 283: 166-180 (2018) - [j12]Shujun Liu
Group sparsity with orthogonal dictionary and nonconvex regularization for exact MRI reconstruction. Inf. Sci. 451-452: 161-179 (2018) - [j11]Fang Tang
An Area-Efficient Column-Parallel Digital Decimation Filter With Pre-BWI Topology for CMOS Image Sensor. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(8): 2524-2533 (2018) - [j10]Xichuan Zhou
A Spatial-Temporal Method to Detect Global Influenza Epidemics Using Heterogeneous Data Collected from the Internet. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 802-812 (2018) - [j9]Xichuan Zhou
DANoC: An Efficient Algorithm and Hardware Codesign of Deep Neural Networks on Chip. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3176-3187 (2018) - 2017
- [j8]Xichuan Zhou
Deep Learning With Grouped Features for Spatial Spectral Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 14(1): 97-101 (2017) - 2016
- [j7]Xichuan Zhou, Fang Tang, Qin Li, Shengdong Hu, Guojun Li, Yunjian Jia, Xinke Li
Global influenza surveillance with Laplacian multidimensional scaling. Frontiers Inf. Technol. Electron. Eng. 17(5): 413-421 (2016) - [j6]Fang Tang, Shiping Li, Bo Wang
A Low Power Class-AB Audio Power Amplifier With Dynamic Transconductance Compensation in 55 nm CMOS Process. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(9): 1360-1369 (2016) - [i3]Xichuan Zhou, Shengli Li, Kai Qin, Kunping Li, Fang Tang, Shengdong Hu, Shujun Liu, Zhi Lin:
Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections. CoRR abs/1604.06154 (2016) - 2015
- [i2]Shengli Li, Xichuan Zhou:
Research of the Correlation between the H1N1 Morbidity Data and Google Trends in Egypt. CoRR abs/1511.05300 (2015) - [i1]Xichuan Zhou, Qin Li, Han Zhao, Shengli Li, Lei Yu, Fang Tang, Shengdong Hu, Guojun Li, Yujie Feng:
Assessing Google Correlate Queries for Influenza H1N1 Surveillance in Asian Developing Countries. CoRR abs/1512.03132 (2015) - 2013
- [j5]Xichuan Zhou
Monitoring Epidemic Alert Levels by Analyzing Internet Search Volume. IEEE Trans. Biomed. Eng. 60(2): 446-452 (2013) - 2012
- [j4]Xichuan Zhou
Largemargin classification for combating disguise attacks on spam filters. J. Zhejiang Univ. Sci. C 13(3): 187-195 (2012) - [c1]Xichuan Zhou, Ping Gan, Chao Yan, Guojun Li:
Towards the Optimal Discriminant Subspace. Web Intelligence 2012: 181-187 - 2011
- [j3]Xichuan Zhou
Integrating outlier filtering in large margin training. J. Zhejiang Univ. Sci. C 12(5): 362-370 (2011) - [j2]Xichuan Zhou
Tuberculosis Surveillance by Analyzing Google Trends. IEEE Trans. Biomed. Eng. 58(8): 2247-2254 (2011) - 2010
- [j1]Xichuan Zhou
Notifiable infectious disease surveillance with data collected by search engine. J. Zhejiang Univ. Sci. C 11(4): 241-248 (2010)
Coauthor Index
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last updated on 2024-10-22 20:16 CEST by the dblp team
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