High-resolution remote sensing image segmentation based on improved RIU-LBP and SRM. - Jian Cheng 003; Lan Li; Bo Luo; Shuai Wang; Haijun Liu 001 (EURASIP J. Wirel. Commun. Netw., 2013)

Silhouette analysis for human action recognition based on maximum spatio-temporal dissimilarity embedding. - Jian Cheng 003; Haijun Liu 001; Hongsheng Li 001 (Mach. Vis. Appl., 2014)

Segmentation-Based PolSAR Image Classification Using Visual Features: RHLBP and Color Features. - Jian Cheng 003; Yaqi Ji; Haijun Liu 001 (Remote. Sens., 2015)

Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning. - Jian Cheng 003; Haijun Liu 001; Feng Wang 015; Hongsheng Li 001; Ce Zhu (IEEE Trans. Image Process., 2015)

Sequential Subspace Clustering via Temporal Smoothness. - Haijun Liu 001; Jian Cheng 003; Feng Wang 015 (FG, 2017)

Kinship verification based on status-aware projection learning. - Haijun Liu 001; Jian Cheng 003; Feng Wang 015 (ICIP, 2017)

Additive Margin Softmax for Face Verification. - Feng Wang 015; Weiyang Liu; Hanjun Dai; Haijun Liu 001; Jian Cheng 003 (ICLR (Workshop), 2018)

Temporal Action Detection by Joint Identification-Verification. - Wen Wang 012; Yongjian Wu; Haijun Liu 001; Shiguang Wang; Jian Cheng 003 (ICPR, 2018)

PCN: Part and Context Information for Pedestrian Detection with CNNs. - Shiguang Wang; Jian Cheng 003; Haijun Liu 001; Ming Tang (CoRR, 2018)

Visualizing deep neural network by alternately image blurring and deblurring. - Feng Wang 015; Haijun Liu 001; Jian Cheng 003 (Neural Networks, 2018)

Additive Margin Softmax for Face Verification. - Feng Wang 015; Jian Cheng 003; Weiyang Liu; Haijun Liu 001 (IEEE Signal Process. Lett., 2018)

Sequential Subspace Clustering via Temporal Smoothness for Sequential Data Segmentation. - Haijun Liu 001; Jian Cheng 003; Feng Wang 015 (IEEE Trans. Image Process., 2018)

Pedestrian Detection via Body Part Semantic and Contextual Information With DNN. - Shiguang Wang; Jian Cheng 003; Haijun Liu 001; Feng Wang 015; Hui Zhou 005 (IEEE Trans. Multim., 2018)

Attention: A Big Surprise for Cross-Domain Person Re-Identification. - Haijun Liu 001; Jian Cheng 003; Shiguang Wang; Wen Wang 012 (CoRR, 2019)

The General Pair-based Weighting Loss for Deep Metric Learning. - Haijun Liu 001; Jian Cheng 003; Wen Wang 012; Yanzhou Su (CoRR, 2019)

Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification. - Haijun Liu 001; Jian Cheng 003 (CoRR, 2019)

Gallery based k-reciprocal-like re-ranking for heavy cross-camera discrepancy in person re-identification. - Haijun Liu 001; Jian Cheng 003 (Neurocomputing, 2019)

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

Parameters Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification. - Haijun Liu 001; Xiaoheng Tan (CoRR, 2020)

Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification. - Haijun Liu 001; Jian Cheng 003; Wen Wang 012; Yanzhou Su; Haiwei Bai (Neurocomputing, 2020)

Multi-Scale Based Context-Aware Net for Action Detection. - Haijun Liu 001; Shiguang Wang; Wen Wang 012; Jian Cheng 003 (IEEE Trans. Multim., 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)

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

IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition. - Chengzhi Jiang; Yanzhou Su; Wen Wang 012; Haiwei Bai; Haijun Liu 001; Jian Cheng 003 (CoRR, 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)

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)

How to design a deep neural network for retinal vessel segmentation: an empirical study. - Yanzhou Su; Jian Cheng 003; Guiqun Cao; Haijun Liu 001 (Biomed. Signal Process. Control., 2022)

FAPN: Feature Augmented Pyramid Network for polyp segmentation. - Yanzhou Su; Jian Cheng 003; Murong Yi; Haijun Liu 001 (Biomed. Signal Process. Control., 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)

Semantic Segmentation for High-Resolution Remote-Sensing Images via Dynamic Graph Context Reasoning. - Yanzhou Su; Jian Cheng 003; Wen Wang 012; Haiwei Bai; Haijun Liu 001 (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)

AMFuse: Add-Multiply-Based Cross-Modal Fusion Network for Multi-Spectral Semantic Segmentation. - Haijun Liu 001; Fenglei Chen; Zhihong Zeng; Xiaoheng Tan (Remote. Sens., 2022)

Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning. - Yanzhou Su; Jian Cheng 003; Haiwei Bai; Haijun Liu 001; Changtao He (Remote. Sens., 2022)

A Fourier-Based Semantic Augmentation for Visible-Thermal Person Re-Identification. - Xiaoheng Tan; Yanxia Chai; Fenglei Chen; Haijun Liu 001 (IEEE Signal Process. Lett., 2022)

LC-BiDet: Laterally Connected Binary Detector With Efficient Image Processing. - Xichuan Zhou; Rui Ding 009; Haijun Liu 001 (IEEE Signal Process. Lett., 2022)

A Novel Multidimensional Domain Deep Learning Network for SAR Ship Detection. - Dong Li 007; Quanhuan Liang; Hongqing Liu; Qinghua Liu; Haijun Liu 001; Guisheng Liao (IEEE Trans. Geosci. Remote. Sens., 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)

MDL-NAS: A Joint Multi-domain Learning Framework for Vision Transformer. - Shiguang Wang; Tao Xie 010; Jian Cheng 003; Xingcheng Zhang; Haijun Liu 001 (CVPR, 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)

Compensated Attention Feature Fusion and Hierarchical Multiplication Decoder Network for RGB-D Salient Object Detection. - Zhihong Zeng; Haijun Liu 001; Fenglei Chen; Xiaoheng Tan (Remote. Sens., 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)

PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator. - Shiguang Wang; Tao Xie 010; Haijun Liu 001; Xingcheng Zhang; Jian Cheng 003 (Neural Networks, 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)

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)

AirSOD: A Lightweight Network for RGB-D Salient Object Detection. - Zhihong Zeng; Haijun Liu 001; Fenglei Chen; Xiaoheng Tan (IEEE Trans. Circuits Syst. Video Technol., 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)

MambaSOD: Dual Mamba-driven cross-modal fusion network for RGB-D Salient Object Detection. - Yue Zhan; Zhihong Zeng; Haijun Liu 001; Xiaoheng Tan; Yinli Tian (Neurocomputing, 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)

FASI-Net: Frequency-Domain Information Assisted Semantic Interaction Network for Bitemporal Remote Sensing Images Change Detection. - Fenglei Chen; Haijun Liu 001; Zhihong Zeng; Xiaoheng Tan (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)