@ARTICLE{7983385,
  author={Zhou, Xichuan and Li, Shengli and Tang, Fang and Hu, Shengdong and Lin, Zhi and Zhang, Lei},
  journal={IEEE Transactions on Neural Networks and Learning Systems}, 
  title={DANoC: An Efficient Algorithm and Hardware Codesign of Deep Neural Networks on Chip}, 
  year={2018},
  volume={29},
  number={7},
  pages={3176-3187},
  keywords={Artificial neural networks;Hardware;Training;Algorithm design and analysis;Computer architecture;Machine learning;Robustness;Binary weights;deep belief network (DBN);deep learning;embedded system;field-programmable gate array (FPGA);sparse connections},
  doi={10.1109/TNNLS.2017.2717442}}

@ARTICLE{9376983,
  author={Liu, Haijun and Chai, Yanxia and Tan, Xiaoheng and Li, Dong and Zhou, Xichuan},
  journal={IEEE Signal Processing Letters}, 
  title={Strong but Simple Baseline With Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification}, 
  year={2021},
  volume={28},
  number={},
  pages={653-657},
  keywords={Training;Three-dimensional displays;Measurement;Testing;Organizations;Neck;Focusing;Dual-granularity triplet loss;fine to coarse granularity;visible-thermal person re-identification},
  doi={10.1109/LSP.2021.3065903}}

@ARTICLE{9093845,
  author={Qin, Kai and Ge, Fangyuan and Zhao, Yingjun and Zhu, Ling and Li, Ming and Shi, Cong and Li, Dong and Zhou, Xichuan},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={Hapke Data Augmentation for Deep Learning-Based Hyperspectral Data Analysis With Limited Samples}, 
  year={2021},
  volume={18},
  number={5},
  pages={886-890},
  keywords={Hyperspectral imaging;Minerals;Training;Machine learning;Neural networks;Data augmentation;deep learning;Hapke model;hyperspectral remote sensing;limited samples},
  doi={10.1109/LGRS.2020.2989796}}

@ARTICLE{9834973,
  author={Shen, Xiangfei and Liu, Haijun and Qin, Jian and Ge, Fangyuan and Zhou, Xichuan},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective}, 
  year={2022},
  volume={60},
  number={},
  pages={1-14},
  keywords={Hyperspectral imaging;Optimization;Vegetation mapping;Sparse matrices;Libraries;Task analysis;Correlation;Hyperspectral image;hyperspectral unmixing;nonnegative matrix factorization (NMF);weak signal analysis},
  doi={10.1109/TGRS.2022.3192863}}

@ARTICLE{9782086,
  author={Zhou, Xichuan and Ding, Rui and Liu, Haijun},
  journal={IEEE Signal Processing Letters}, 
  title={LC-BiDet: Laterally Connected Binary Detector With Efficient Image Processing}, 
  year={2022},
  volume={29},
  number={},
  pages={1262-1266},
  keywords={Detectors;Convolution;Object detection;Training;Feature extraction;Convolutional neural networks;Computational modeling;Binary object detection;model compression;late- ral connections;regularization term},
  doi={10.1109/LSP.2022.3178034}}

@ARTICLE{9933770,
  author={Shen, Xiangfei and Liu, Haijun and Zhang, Xinzheng and Qin, Kai and Zhou, Xichuan},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={Superpixel-Guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing}, 
  year={2022},
  volume={19},
  number={},
  pages={1-5},
  keywords={Hyperspectral imaging;Dictionaries;Libraries;Measurement uncertainty;Weight measurement;Visualization;Sparse matrices;Global sparsity;hyperspectral unmixing;local sparsity;sparse regression;sparse unmixing},
  doi={10.1109/LGRS.2022.3218730}}

@ARTICLE{10003656,
  author={Zhou, Xichuan and Ding, Rui and Wang, Yuxiao and Wei, Wenjia and Liu, Haijun},
  journal={IEEE Transactions on Multimedia}, 
  title={Cellular Binary Neural Network for Accurate Image Classification and Semantic Segmentation}, 
  year={2023},
  volume={25},
  number={},
  pages={8064-8075},
  keywords={Neural networks;Computational modeling;Convolution;Quantization (signal);Task analysis;Semantic segmentation;Training;Binary neural networks;image classification;lateral connections;regularization term;semantic segmentation},
  doi={10.1109/TMM.2022.3233255}}

@ARTICLE{10238749,
  author={Shen, Xiangfei and Chen, Lihui and Liu, Haijun and Su, Xi and Wei, Wenjia and Zhu, Xia and Zhou, Xichuan},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Efficient Hyperspectral Sparse Regression Unmixing With Multilayers}, 
  year={2023},
  volume={61},
  number={},
  pages={1-14},
  keywords={Libraries;Sparse matrices;Iterative methods;Hyperspectral imaging;Nonhomogeneous media;Optimization;Task analysis;Alternating direction method of multipliers (ADMM);hyperspectral analysis;hyperspectral unmixing;multiple layer;sparse regression;sparse unmixing},
  doi={10.1109/TGRS.2023.3311642}}

@ARTICLE{10345635,
  author={Zhou, Xichuan and Zou, Xuan and Shen, Xiangfei and Wei, Wenjia and Zhu, Xia and Liu, Haijun},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image}, 
  year={2024},
  volume={62},
  number={},
  pages={1-17},
  keywords={Hyperspectral imaging;Image coding;Tensors;Image reconstruction;Bandwidth;Bit rate;Transform coding;Bit-level compression;deep neural network (DNN);feature enhancement;tensor data},
  doi={10.1109/TGRS.2023.3339843}}

@ARTICLE{10410657,
  author={Ashraf, Mahmood and Chen, Lihui and Zhou, Xichuan and Rakha, Muhammad Allah},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, 
  title={A Joint Architecture of Mixed-Attention Transformer and Octave Module for Hyperspectral Image Denoising}, 
  year={2024},
  volume={17},
  number={},
  pages={4331-4349},
  keywords={Noise reduction;Transformers;Feature extraction;Correlation;Adaptation models;Three-dimensional displays;Hyperspectral imaging;HS image denoising;multilevel features;octative network;transformer},
  doi={10.1109/JSTARS.2024.3356523}}