Notifiable infectious disease surveillance with data collected by search engine. - Xichuan Zhou; Hai-bin Shen (J. Zhejiang Univ. Sci. C, 2010)

Integrating outlier filtering in large margin training. - Xichuan Zhou; Hai-bin Shen; Jieping Ye (J. Zhejiang Univ. Sci. C, 2011)

Tuberculosis Surveillance by Analyzing Google Trends. - Xichuan Zhou; Jieping Ye; Yujie Feng (IEEE Trans. Biomed. Eng., 2011)

Towards the Optimal Discriminant Subspace. - Xichuan Zhou; Ping Gan; Chao Yan; Guojun Li (Web Intelligence, 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)

Monitoring Epidemic Alert Levels by Analyzing Internet Search Volume. - Xichuan Zhou; Qin Li 006; Zhenglin Zhu; Han Zhao; Hao Tang; Yujie Feng (IEEE Trans. Biomed. Eng., 2013)

Research of the Correlation between the H1N1 Morbidity Data and Google Trends in Egypt. - Shengli Li 007; Xichuan Zhou (CoRR, 2015)

Assessing Google Correlate Queries for Influenza H1N1 Surveillance in Asian Developing Countries. - Xichuan Zhou; Qin Li 006; Han Zhao; Shengli Li 007; Lei Yu; Fang Tang; Shengdong Hu; Guojun Li; Yujie Feng (CoRR, 2015)

Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections. - Xichuan Zhou; Shengli Li 007; Kai Qin; Kunping Li; Fang Tang; Shengdong Hu; Shujun Liu; Zhi Lin 002 (CoRR, 2016)

Global influenza surveillance with Laplacian multidimensional scaling. - Xichuan Zhou; Fang Tang; Qin Li 006; Shengdong Hu; Guojun Li; Yunjian Jia; Xinke Li; Yujie Feng (Frontiers Inf. Technol. Electron. Eng., 2016)

A Low Power Class-AB Audio Power Amplifier With Dynamic Transconductance Compensation in 55 nm CMOS Process. - Fang Tang; Shiping Li; Bo Wang 012; Amine Bermak; Xichuan Zhou; Shengdong Hu (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

Deep Learning With Grouped Features for Spatial Spectral Classification of Hyperspectral Images. - Xichuan Zhou; Shengli Li 007; Fang Tang; Kai Qin; Shengdong Hu; Shujun Liu (IEEE Geosci. Remote. Sens. Lett., 2017)

Joint spectral-spatial hyperspectral image classification based on hierarchical subspace switch ensemble learning algorithm. - Yongming Li 003; Tingjie Xie; Pin Wang; Jie Wang; Shujun Liu; Xichuan Zhou; Xinzheng Zhang 002 (Appl. Intell., 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)

MRI reconstruction via enhanced group sparsity and nonconvex regularization. - Shujun Liu; Jianxin Cao; Hongqing Liu; Xichuan Zhou; Kui Zhang; Zhengzhou Li (Neurocomputing, 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)

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)

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 002; Amine Bermak (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

A Spatial-Temporal Method to Detect Global Influenza Epidemics Using Heterogeneous Data Collected from the Internet. - Xichuan Zhou; Fan Yang 021; Yujie Feng; Qin Li 006; Fang Tang; Shengdong Hu; Zhi Lin 002; Lei Zhang 038 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

DANoC: An Efficient Algorithm and Hardware Codesign of Deep Neural Networks on Chip. - Xichuan Zhou; Shengli Li 007; Fang Tang; Shengdong Hu; Zhi Lin 002; Lei Zhang 038 (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression. - Xichuan Zhou; Lang Xu; Shujun Liu; Yingcheng Lin; Lei Zhang 038; Cheng Zhuo (AAAI, 2019)

20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip. - Junxian He; Xichuan Zhou; Yingcheng Lin; Chonglei Sun; Cong Shi 003; Nanjian Wu; Gang Luo 003 (ASICON, 2019)

High-speed Classification of AER Data Based on a Low-cost Hardware System. - Jinguo Huang; Yingcheng Lin; Wei He; Xichuan Zhou; Cong Shi 003; Nanjian Wu; Gang Luo 003 (ASICON, 2019)

Sparse representation of classified patches for CS-MRI reconstruction. - Jianxin Cao; Shujun Liu; Hongqing Liu; Xiao-heng Tan; Xichuan Zhou (Neurocomputing, 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 038; Dong Li 007 (Neurocomputing, 2019)

PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features. - Xinzheng Zhang 002; Jili Xia; Xiaoheng Tan; Xichuan Zhou; Tao Wang (Remote. Sens., 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 002; Ping Gan; Tiancong Huang; Amine Bermak (IEEE Trans. Biomed. Circuits Syst., 2019)

A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection. - Yujie Feng; Fan Yang 021; Xichuan Zhou; Yanli Guo; Fang Tang; Fengbo Ren; Jishun Guo; Shuiwang Ji (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies. - Zheyu Yan; Yiyu Shi 001; Wang Liao; Masanori Hashimoto; Xichuan Zhou; Cheng Zhuo (ASP-DAC, 2020)

Probability Weighted Compact Feature for Domain Adaptive Retrieval. - Fuxiang Huang; Lei Zhang 038; Yang Yang 002; Xichuan Zhou (CVPR, 2020)

MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time. - Xichuan Zhou; Yicong Peng; Chunqiao Long; Fengbo Ren; Cong Shi 003 (ICML, 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 042; Ying Jiang; Liyuan Liu; Nanjian Wu; Cong Shi 003 (ICTA, 2020)

Neural Network Activation Quantization with Bitwise Information Bottlenecks. - Xichuan Zhou; Kui Liu; Cong Shi 003; Haijun Liu 001; Ji Liu (CoRR, 2020)

Build a compact binary neural network through bit-level sensitivity and data pruning. - Yixing Li; Shuai Zhang; Xichuan Zhou; Fengbo Ren (Neurocomputing, 2020)

An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation. - Dong Li 007; Haining Ma; Hongqing Liu; Zhanye Chen; Jia Su; Xichuan Zhou; Wei Li; Zhijun Yang (Remote. Sens., 2020)

Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection. - Xinzheng Zhang 002; Guo Liu; Ce Zhang 005; Peter M. Atkinson; Xiaoheng Tan; Xin Jian; Xichuan Zhou; Yongming Li 003 (Remote. Sens., 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 042; Ying Wang 001; Nanjian Wu; Cong Shi 003 (Sensors, 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 002; Ping Li 042; Bo Wang 012; Amine Bermak (IEEE Trans. Biomed. Circuits Syst., 2020)

Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization. - Xichuan Zhou; Kui Liu; Cong Shi 003; Haijun Liu 001; Ji Liu (AAAI, 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 042; Liyuan Liu; Nanjian Wu; Cong Shi 003 (ICTA, 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 003 (ICTA, 2021)

Learning to Binarize Convolutional Neural Networks with Adaptive Neural Encoder. - Shuai Zhang; Fangyuan Ge; Rui Ding 009; Haijun Liu 001; Xichuan Zhou (IJCNN, 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 003 (ISCAS, 2021)

CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features. - Tengxiao Wang; Cong Shi 003; Xichuan Zhou; Yingcheng Lin; Junxian He; Ping Gan; Ping Li 042; Ying Wang 001; Liyuan Liu; Nanjian Wu; Gang Luo 003 (Neurocomputing, 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 003; Dong Li 007; Xichuan Zhou (IEEE Geosci. Remote. Sens. 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 067; Cong Shi 003; Yingcheng Lin; Wei He; Xichuan Zhou; Xu Yang 004; Liyuan Liu; Nanjian Wu (Sensors, 2021)

Strong but Simple Baseline With Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification. - Haijun Liu 001; Yanxia Chai; Xiaoheng Tan; Dong Li 007; Xichuan Zhou (IEEE Signal Process. Lett., 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 042; Liyuan Liu; Nanjian Wu; Cong Shi 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Parameter Sharing Exploration and Hetero-Center Triplet Loss for Visible-Thermal Person Re-Identification. - Haijun Liu 001; Xiaoheng Tan; Xichuan Zhou (IEEE Trans. Multim., 2021)

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 003 (BioCAS, 2022)

Superpixel-Guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing. - Xiangfei Shen; Haijun Liu 001; Xinzheng Zhang 002; Kai Qin; Xichuan Zhou (IEEE Geosci. Remote. Sens. Lett., 2022)

BES-Net: Boundary Enhancing Semantic Context Network for High-Resolution Image Semantic Segmentation. - Fenglei Chen; Haijun Liu 001; Zhihong Zeng; Xichuan Zhou; Xiaoheng Tan (Remote. Sens., 2022)

LC-BiDet: Laterally Connected Binary Detector With Efficient Image Processing. - Xichuan Zhou; Rui Ding 009; Haijun Liu 001 (IEEE Signal Process. Lett., 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 001; Liyuan Liu; Nanjian Wu; Min Tian; Cong Shi 003 (IEEE Trans. Biomed. Circuits Syst., 2022)

A Low-Cost FPGA Implementation of Spiking Extreme Learning Machine With On-Chip Reward-Modulated STDP Learning. - Zhen He; Cong Shi 003; Tengxiao Wang; Ying Wang 001; Min Tian; Xichuan Zhou; Ping Li 042; Liyuan Liu; Nanjian Wu; Gang Luo 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective. - Xiangfei Shen; Haijun Liu 001; Jian Qin; Fangyuan Ge; Xichuan Zhou (IEEE Trans. Geosci. Remote. Sens., 2022)

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 003 (AICAS, 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 003 (A-SSCC, 2023)

Efficient Hyperspectral Sparse Regression Unmixing With Multilayers. - Xiangfei Shen; Lihui Chen 002; Haijun Liu 001; Xi Su; Wenjia Wei; Xia Zhu; Xichuan Zhou (IEEE Trans. Geosci. Remote. Sens., 2023)

Matrix Factorization With Framelet and Saliency Priors for Hyperspectral Anomaly Detection. - Xiangfei Shen; Haijun Liu 001; Jing Nie 001; Xichuan Zhou (IEEE Trans. Geosci. Remote. Sens., 2023)

Cellular Binary Neural Network for Accurate Image Classification and Semantic Segmentation. - Xichuan Zhou; Rui Ding 009; Yuxiao Wang; Wenjia Wei; Haijun Liu 001 (IEEE Trans. Multim., 2023)

Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests. - Cong Shi 003; Junxian He; Shrinivas J. Pundlik; Xichuan Zhou; Nanjian Wu; Gang Luo 003 (Sci. China Inf. Sci., 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 001; Haijun Liu 001 (Neural Networks, 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, 2023)

A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning. - Junxian He; Min Tian; Ying Jiang; Haibing Wang; Tengxiao Wang; Xichuan Zhou; Liyuan Liu; Nanjian Wu; Ying Wang 001; Cong Shi 003 (Comput. Electr. Eng., 2024)

STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks. - Haoran Gao; Xichuan Zhou; Yingcheng Lin; Min Tian; Liyuan Liu; Cong Shi 003 (CoRR, 2024)

GOENet: Group Operations Enhanced Binary Neural Network for Efficient Image Classification. - Rui Ding 009; Yuxiao Wang; Haijun Liu 001; Xichuan Zhou (IEEE Signal Process. Lett., 2024)

A Joint Architecture of Mixed-Attention Transformer and Octave Module for Hyperspectral Image Denoising. - Mahmood Ashraf; Lihui Chen 002; Xichuan Zhou; Muhammad Allah Rakha (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection. - Haijun Liu 001; Xi Su; Xiangfei Shen; Xichuan Zhou (IEEE Trans. Geosci. Remote. Sens., 2024)

MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images. - Xichuan Zhou; Fu Liang; Lihui Chen 002; Haijun Liu 001; Qianqian Song; Gemine Vivone; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 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 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Spatial-Spectral BERT for Hyperspectral Image Classification. - Mahmood Ashraf; Xichuan Zhou; Gemine Vivone; Lihui Chen 002; Rong Chen; Reza Seifi Majdard (Remote. Sens., 2024)

Theory and Low-Power Design of Moving Accumulative Sign Filter. - Yingjun Xia; Jianjiang Luo; Peng Yin 004; Dengwei Yan; Xichuan Zhou; Amine Bermak; Fang Tang (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution. - Xi Su; Xiangfei Shen; Mingyang Wan; Jing Nie 001; Lihui Chen 002; Haijun Liu 001; Xichuan Zhou (AAAI, 2025)

Hybrid cross-modality fusion network for medical image segmentation with contrastive learning. - Xichuan Zhou; Qianqian Song; Jing Nie 001; Yujie Feng; Haijun Liu 001; Fu Liang; Lihui Chen 002; Jin Xie 005 (Eng. Appl. Artif. Intell., 2025)

E-TransConvNet: An enhanced transformer and convolutional network for medical image segmentation from ultrasound and CT images. - Chukwuemeka Clinton Atabansi; Jing Nie 001; Jiachen Huang; Yujie Feng; Haijun Liu 001; Jin Xie 005; Xichuan Zhou (Expert Syst. Appl., 2025)

Distribution-modulated binary neural network for image classification. - Yingcheng Lin; Yuxiao Wang; Rui Ding 009; Haijun Liu 001; Xichuan Zhou (Image Vis. Comput., 2025)

BMSNet: Brain-inspired mixed ultrasound image segmentation network in cancer diagnosis. - Chukwuemeka Clinton Atabansi; Jing Nie 001; Hui Li; Haijun Liu 001; Xichuan Zhou (J. King Saud Univ. Comput. Inf. Sci., 2025)

Progressive fine-to-coarse reconstruction for accurate low-bit post-training quantization in vision transformers. - Rui Ding 009; Liang Yong; Sihuan Zhao; Jing Nie 001; Lihui Chen 002; Haijun Liu 001; Xichuan Zhou (Neural Networks, 2025)

Binary Neural Networks With Feature Information Retention for Efficient Image Classification. - Rui Ding 009; Yuxiao Wang; Haijun Liu 001; Xichuan Zhou (IEEE Signal Process. Lett., 2025)

Feature Interaction and Adaptive Fusion Network With Spectral Modulation for Pansharpening. - Lihua Jian; Jiabo Liu; Lihui Chen 002; Di Zhang 002; Gemine Vivone; Xichuan Zhou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Density-Guided and Frequency Modulation Dehazing Network for Remote Sensing Images. - Haijun Liu 001; Jiachen Huang; Jing Nie 001; Jin Xie 005; Lihui Chen 002; Xichuan Zhou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Iteratively Regularizing Hyperspectral and Multispectral Image Fusion With Framelets. - Xiangfei Shen; Lihui Chen 002; Haijun Liu 001; Xichuan Zhou; Wenxing Bao; Ling Tian; Gemine Vivone; Jocelyn Chanussot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection With Mask Guidance. - Xi Su; Xiangfei Shen; Haijun Liu 001; Lihui Chen 002; Gemine Vivone; Xichuan Zhou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

High-Fidelity Pansharpening via Trigeminal Pyramid Decoding of CNN-Transformer Encoded Features. - Lihui Chen 002; Tianxin Song; Lihua Jian; Di Zhang 002; Gemine Vivone; Xichuan Zhou (IEEE Trans. Geosci. Remote. Sens., 2025)

MorphBungee: A 65-nm 7.2-mm2 27-µJ/Image Digital Edge Neuromorphic Chip With on-Chip 802-Frame/s Multi-Layer Spiking Neural Network Learning. - Tengxiao Wang; Min Tian; Haibing Wang; Zhengqing Zhong; Junxian He; Fang Tang; Xichuan Zhou; Yingcheng Lin; Shuangming Yu; Liyuan Liu; Cong Shi 003 (IEEE Trans. Biomed. Circuits Syst., 2025)