Xichuan Zhou

According to our database, Xichuan Zhou authored at least 71 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Theory and Low-Power Design of Moving Accumulative Sign Filter.

Yingjun Xia, Jianjiang Luo, Peng Yin, Dengwei Yan, Xichuan Zhou, Amine Bermak, Fang Tang

IEEE Trans. Circuits Syst. I Regul. Pap., June, 2024

Spatial-Spectral BERT for Hyperspectral Image Classification.

Mahmood Ashraf, Xichuan Zhou, Gemine Vivone, Lihui Chen, Rong Chen, Reza Seifi Majdard

Remote. Sens., February, 2024

BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image.

Xichuan Zhou, Xuan Zou, Xiangfei Shen, Wenjia Wei, Xia Zhu, Haijun Liu

IEEE Trans. Geosci. Remote. Sens., 2024

MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images.

Xichuan Zhou, Fu Liang, Lihui Chen, Haijun Liu, Qianqian Song, Gemine Vivone, Jocelyn Chanussot

IEEE Trans. Geosci. Remote. Sens., 2024

MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection.

Haijun Liu, Xi Su, Xiangfei Shen, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2024

A Joint Architecture of Mixed-Attention Transformer and Octave Module for Hyperspectral Image Denoising.

Mahmood Ashraf, Lihui Chen, Xichuan Zhou, Muhammad Allah Rakha

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution.

Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou

CoRR, 2024

2023

Multi-Scale FPGA-Based Infrared Image Enhancement by Using RGF and CLAHE.

Jialong Liu, Xichuan Zhou, Zhenlong Wan, Xuefei Yang, Wei He, Rulong He, Yingcheng Lin

Sensors, October, 2023

InfraNet: Accurate forehead temperature measurement framework for people in the wild with monocular thermal infrared camera.

Xichuan Zhou, Dongshan Lei, Chunqiao Long, Jing Nie, Haijun Liu

Neural Networks, September, 2023

Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests.

Cong Shi, Junxian He, Shrinivas J. Pundlik, Xichuan Zhou, Nanjian Wu, Gang Luo

Sci. China Inf. Sci., May, 2023

Cellular Binary Neural Network for Accurate Image Classification and Semantic Segmentation.

Xichuan Zhou, Rui Ding, Yuxiao Wang, Wenjia Wei, Haijun Liu

IEEE Trans. Multim., 2023

Matrix Factorization With Framelet and Saliency Priors for Hyperspectral Anomaly Detection.

Xiangfei Shen, Haijun Liu, Jing Nie, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2023

Efficient Hyperspectral Sparse Regression Unmixing With Multilayers.

Xiangfei Shen, Lihui Chen, Haijun Liu, Xi Su, Wenjia Wei, Xia Zhu, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2023

MorphBungee: A 65nm 7.2mm² 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning.

Tengxiao Wang, Min Tian, Zhengqing Zhong, Haibing Wang, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Nanjian Wu, Liyuan Liu, Cong Shi

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip.

Zhengqing Zhong, Tengxiao Wang, Haibing Wang, Zhihua Zhou, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective.

Xiangfei Shen, Haijun Liu, Jian Qin, Fangyuan Ge, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

A Low-Cost FPGA Implementation of Spiking Extreme Learning Machine With On-Chip Reward-Modulated STDP Learning.

Zhen He, Cong Shi, Tengxiao Wang, Ying Wang, Min Tian, Xichuan Zhou, Ping Li, Liyuan Liu, Nanjian Wu, Gang Luo

IEEE Trans. Circuits Syst. II Express Briefs, 2022

TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity.

Haibing Wang, Zhen He, Tengxiao Wang, Junxian He, Xichuan Zhou, Ying Wang, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi

IEEE Trans. Biomed. Circuits Syst., 2022

LC-BiDet: Laterally Connected Binary Detector With Efficient Image Processing.

Xichuan Zhou, Rui Ding, Haijun Liu

IEEE Signal Process. Lett., 2022

BES-Net: Boundary Enhancing Semantic Context Network for High-Resolution Image Semantic Segmentation.

Fenglei Chen, Haijun Liu, Zhihong Zeng, Xichuan Zhou, Xiaoheng Tan

Remote. Sens., 2022

Superpixel-Guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing.

Xiangfei Shen, Haijun Liu, Xinzheng Zhang, Kai Qin, Xichuan Zhou

IEEE Geosci. Remote. Sens. Lett., 2022

MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks.

Tengxiao Wang, Haibing Wang, Junxian He, Zhengqing Zhong, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021

Parameter Sharing Exploration and Hetero-Center Triplet Loss for Visible-Thermal Person Re-Identification.

Haijun Liu, Xiaoheng Tan, Xichuan Zhou

IEEE Trans. Multim., 2021

A Low-Cost High-Speed Object Tracking VLSI System Based on Unified Textural and Dynamic Compressive Features.

Wei He, Jie Zhang, Yingcheng Lin, Xichuan Zhou, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Strong but Simple Baseline With Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification.

Haijun Liu, Yanxia Chai, Xiaoheng Tan, Dong Li, Xichuan Zhou

IEEE Signal Process. Lett., 2021

A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps.

Ling Zhang, Jing Yang, Cong Shi, Yingcheng Lin, Wei He, Xichuan Zhou, Xu Yang, Liyuan Liu, Nanjian Wu

Sensors, 2021

Hapke Data Augmentation for Deep Learning-Based Hyperspectral Data Analysis With Limited Samples.

Kai Qin, Fangyuan Ge, Yingjun Zhao, Ling Zhu, Ming Li, Cong Shi, Dong Li, Xichuan Zhou

IEEE Geosci. Remote. Sens. Lett., 2021

CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features.

Tengxiao Wang, Cong Shi, Xichuan Zhou, Yingcheng Lin, Junxian He, Ping Gan, Ping Li, Ying Wang, Liyuan Liu, Nanjian Wu, Gang Luo

Neurocomputing, 2021

A Heterogeneous Spiking Neural Network for Computationally Efficient Face Recognition.

Xichuan Zhou, Zhenghua Zhou, Zhengqing Zhong, Jianyi Yu, Tengxiao Wang, Min Tian, Ying Jiang, Cong Shi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Learning to Binarize Convolutional Neural Networks with Adaptive Neural Encoder.

Shuai Zhang, Fangyuan Ge, Rui Ding, Haijun Liu, Xichuan Zhou

Proceedings of the International Joint Conference on Neural Networks, 2021

TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning.

Haibing Wang, Zhen He, Jinsong Rao, Tengxiao Wang, Junxian He, Min Tian, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Cong Shi

Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

A Pixel-Parallel Array Processor without Computational Logic for Computational Image Sensors.

Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi

Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization.

Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Noise-Reduced Light-to-Frequency Converter for Sub-0.1% Perfusion Index Blood SpO$_{\text 2}$ Sensing.

Fang Tang, Zhipeng Li, Tongbei Yang, Lai Zhang, Xichuan Zhou, Shengdong Hu, Zhi Lin, Ping Li, Bo Wang, Amine Bermak

IEEE Trans. Biomed. Circuits Syst., 2020

A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification.

Wei He, Jinguo Huang, Tengxiao Wang, Yingcheng Lin, Junxian He, Xichuan Zhou, Ping Li, Ying Wang, Nanjian Wu, Cong Shi

Sensors, 2020

Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection.

Xinzheng Zhang, Guo Liu, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xin Jian, Xichuan Zhou, Yongming Li

Remote. Sens., 2020

An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation.

Dong Li, Haining Ma, Hongqing Liu, Zhanye Chen, Jia Su, Xichuan Zhou, Wei Li, Zhijun Yang

Remote. Sens., 2020

Build a compact binary neural network through bit-level sensitivity and data pruning.

Yixing Li, Shuai Zhang, Xichuan Zhou, Fengbo Ren

Neurocomputing, 2020

Neural Network Activation Quantization with Bitwise Information Bottlenecks.

Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu

CoRR, 2020

A High-speed Low-cost CNN Inference Accelerator for Depthwise Separable Convolution.

Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Ying Jiang, Liyuan Liu, Nanjian Wu, Cong Shi

Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time.

Xichuan Zhou, Yicong Peng, Chunqiao Long, Fengbo Ren, Cong Shi

Proceedings of the 37th International Conference on Machine Learning, 2020

Probability Weighted Compact Feature for Domain Adaptive Retrieval.

Fuxiang Huang, Lei Zhang, Yang Yang, Xichuan Zhou

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies.

Zheyu Yan, Yiyu Shi, Wang Liao, Masanori Hashimoto, Xichuan Zhou, Cheng Zhuo

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection.

Yujie Feng, Fan Yang, Xichuan Zhou, Yanli Guo, Fang Tang, Fengbo Ren, Jishun Guo, Shuiwang Ji

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

A Low Power and Fast Tracking Light-to-Frequency Converter With Adaptive Power Scaling for Blood SpO₂ Sensing.

Fang Tang, Zhou Shu, Mingdong Li, Yi Hu, Xichuan Zhou, Shengdong Hu, Zhi Lin, Ping Gan, Tiancong Huang, Amine Bermak

IEEE Trans. Biomed. Circuits Syst., 2019

PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features.

Xinzheng Zhang, Jili Xia, Xiaoheng Tan, Xichuan Zhou, Tao Wang

Remote. Sens., 2019

A deep manifold learning approach for spatial-spectral classification with limited labeled training samples.

Xichuan Zhou, Nian Liu, Fang Tang, Yingjun Zhao, Kai Qin, Lei Zhang, Dong Li

Neurocomputing, 2019

Sparse representation of classified patches for CS-MRI reconstruction.

Jianxin Cao, Shujun Liu, Hongqing Liu, Xiao-heng Tan, Xichuan Zhou

Neurocomputing, 2019

High-speed Classification of AER Data Based on a Low-cost Hardware System.

Jinguo Huang, Yingcheng Lin, Wei He, Xichuan Zhou, Cong Shi, Nanjian Wu, Gang Luo

Proceedings of the 13th IEEE International Conference on ASIC, 2019

20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip.

Junxian He, Xichuan Zhou, Yingcheng Lin, Chonglei Sun, Cong Shi, Nanjian Wu, Gang Luo

Proceedings of the 13th IEEE International Conference on ASIC, 2019

An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression.

Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

DANoC: An Efficient Algorithm and Hardware Codesign of Deep Neural Networks on Chip.

Xichuan Zhou, Shengli Li, Fang Tang, Shengdong Hu, Zhi Lin, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2018

A Spatial-Temporal Method to Detect Global Influenza Epidemics Using Heterogeneous Data Collected from the Internet.

Xichuan Zhou, Fan Yang, Yujie Feng, Qin Li, Fang Tang, Shengdong Hu, Zhi Lin, Lei Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

An Area-Efficient Column-Parallel Digital Decimation Filter With Pre-BWI Topology for CMOS Image Sensor.

Fang Tang, Zhongjie Wang, Yingjun Xia, Fan Liu, Xichuan Zhou, Shengdong Hu, Zhi Lin, Amine Bermak

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Group sparsity with orthogonal dictionary and nonconvex regularization for exact MRI reconstruction.

Shujun Liu, Jianxin Cao, Hongqing Liu, Xiao-heng Tan, Xichuan Zhou

Inf. Sci., 2018

CS-MRI reconstruction via group-based eigenvalue decomposition and estimation.

Shujun Liu, Jianxin Cao, Guoqing Wu, Hongqing Liu, Xiao-heng Tan, Xichuan Zhou

Neurocomputing, 2018

MRI reconstruction via enhanced group sparsity and nonconvex regularization.

Shujun Liu, Jianxin Cao, Hongqing Liu, Xichuan Zhou, Kui Zhang, Zhengzhou Li

Neurocomputing, 2018

Noise benefits parameter estimation in LMMSE sense.

Ting Yang, Shujun Liu, Hongqing Liu, Ming-Chun Tang, Xiao-heng Tan, Xichuan Zhou

Digit. Signal Process., 2018

Joint spectral-spatial hyperspectral image classification based on hierarchical subspace switch ensemble learning algorithm.

Yongming Li, Tingjie Xie, Pin Wang, Jie Wang, Shujun Liu, Xichuan Zhou, Xinzheng Zhang

Appl. Intell., 2018

2017

Deep Learning With Grouped Features for Spatial Spectral Classification of Hyperspectral Images.

Xichuan Zhou, Shengli Li, Fang Tang, Kai Qin, Shengdong Hu, Shujun Liu

IEEE Geosci. Remote. Sens. Lett., 2017

2016

A Low Power Class-AB Audio Power Amplifier With Dynamic Transconductance Compensation in 55 nm CMOS Process.

Fang Tang, Shiping Li, Bo Wang, Amine Bermak, Xichuan Zhou, Shengdong Hu

IEEE Trans. Circuits Syst. I Regul. Pap., 2016

Global influenza surveillance with Laplacian multidimensional scaling.

Xichuan Zhou, Fang Tang, Qin Li, Shengdong Hu, Guojun Li, Yunjian Jia, Xinke Li, Yujie Feng

Frontiers Inf. Technol. Electron. Eng., 2016

Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections.

Xichuan Zhou, Shengli Li, Kai Qin, Kunping Li, Fang Tang, Shengdong Hu, Shujun Liu, Zhi Lin

CoRR, 2016

2015

Assessing Google Correlate Queries for Influenza H1N1 Surveillance in Asian Developing Countries.

Xichuan Zhou, Qin Li, Han Zhao, Shengli Li, Lei Yu, Fang Tang, Shengdong Hu, Guojun Li, Yujie Feng

CoRR, 2015

Research of the Correlation between the H1N1 Morbidity Data and Google Trends in Egypt.

Shengli Li, Xichuan Zhou

CoRR, 2015

2013

Monitoring Epidemic Alert Levels by Analyzing Internet Search Volume.

Xichuan Zhou, Qin Li, Zhenglin Zhu, Han Zhao, Hao Tang, Yujie Feng

IEEE Trans. Biomed. Eng., 2013

2012

Largemargin classification for combating disguise attacks on spam filters.

Xichuan Zhou, Hai-bin Shen, Zhiyong Huang, Guo-jun Li

J. Zhejiang Univ. Sci. C, 2012

Towards the Optimal Discriminant Subspace.

Xichuan Zhou, Ping Gan, Chao Yan, Guojun Li

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

2011

Tuberculosis Surveillance by Analyzing Google Trends.

Xichuan Zhou, Jieping Ye, Yujie Feng

IEEE Trans. Biomed. Eng., 2011

Integrating outlier filtering in large margin training.

Xichuan Zhou, Hai-bin Shen, Jieping Ye

J. Zhejiang Univ. Sci. C, 2011

2010

Notifiable infectious disease surveillance with data collected by search engine.

Xichuan Zhou, Hai-bin Shen

J. Zhejiang Univ. Sci. C, 2010