A parametric statistic model and fast algorithm for brain MR image segmentation and bias correction. - Tianming Zhan; Zhihui Wei; Liang Xiao 001; Ling Qian (Image Processing, 2012)

Hyperspectral image classification using multilayer superpixel graph and loopy belief propagation. - Tianming Zhan; Yang Xu 006; Le Sun 002; Zebin Wu 001; Yongzhao Zhan (IGARSS, 2015)

Automatic method for white matter lesion segmentation based on T1-fluid-attenuated inversion recovery images. - Tianming Zhan; Yongzhao Zhan; Zhe Liu; Liang Xiao 001; Zhihui Wei (IET Comput. Vis., 2015)

Coupled dictionary learning on common feature space for medical image super resolution. - Songze Tang; Haitao Guo; Nan Zhou; Lili Huang; Tianming Zhan (ICIP, 2016)

Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression. - Shuihua Wang; Tianming Zhan; Yi Chen 023; Yin Zhang 002; Ming Yang 011; Huimin Lu 001; Hainan Wang; Bin Liu 043; Preetha Phillips (IEEE Access, 2016)

Fractal Dimension Estimation for Developing Pathological Brain Detection System Based on Minkowski-Bouligand Method. - Yudong Zhang 001; Xian-Qing Chen; Tianming Zhan; Zhu-Qing Jiao; Yi Sun 006; Zhi-Min Chen 001; Yu Yao 001; Lan-Ting Fang; Yi-Ding Lv; Shuihua Wang (IEEE Access, 2016)

A Target Detection Method Based on Low-Rank Regularized Least Squares Model for Hyperspectral Images. - Yang Xu 006; Zebin Wu 001; Fu Xiao 001; Tianming Zhan; Zhihui Wei (IEEE Geosci. Remote. Sens. Lett., 2016)

Multimodal spatial-based segmentation framework for white matter lesions in multi-sequence magnetic resonance images. - Tianming Zhan; Renping Yu; Yu Zheng; Yongzhao Zhan; Liang Xiao 001; Zhihui Wei (Biomed. Signal Process. Control., 2017)

A cloud computing architecture for characterization and classification of moving object. - Xiaojun Chen 005; Jia Ke; Tianming Zhan; Wen-Xin Wang; Yongzhao Zhan; Xiaobo Chen 001; Xin-Ping Song (Multim. Tools Appl., 2017)

A Glioma Segmentation Method Using CoTraining and Superpixel-Based Spatial and Clinical Constraints. - Tianming Zhan; Fangqing Shen; Xunning Hong; Xihu Wang; Yunjie Chen; Zhenyu Lu 002; Guowei Yang 002 (IEEE Access, 2018)

A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising. - Le Sun 002; Tianming Zhan; Zebin Wu 001; Byeungwoo Jeon (ISPRS Int. J. Geo Inf., 2018)

Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition. - Zhangjing Yang; Minghua Wan; Tianming Zhan; Zhihui Lai; Limin Luo; Pu Huang; Jincheng Zhang (Multim. Tools Appl., 2018)

Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm. - Yudong Zhang 001; Guihu Zhao; Junding Sun; Xiaosheng Wu; Zhiheng Wang 001; Hongmin Liu 001; Vishnuvarthanan Govindaraj; Tianming Zhan; Jianwu Li (Multim. Tools Appl., 2018)

Hyperspectral Mixed Denoising via Spectral Difference-Induced Total Variation and Low-Rank Approximation. - Le Sun 002; Tianming Zhan; Zebin Wu 001; Liang Xiao 001; Byeungwoo Jeon (Remote. Sens., 2018)

Hyperspectral Classification via Superpixel Kernel Learning-Based Low Rank Representation. - Tianming Zhan; Le Sun 002; Yang Xu 006; Guowei Yang 002; Yan Zhang; Zebin Wu 001 (Remote. Sens., 2018)

Multi-object Detection Method based on YOLO and ResNet Hybrid Networks. - Zhenyu Lu 002; Jia Lu; Quanbo Ge; Tianming Zhan (ICARM, 2019)

Dog Face Recognition Algorithm Based on DC-Attention-SSD Neural Network. - Peng Wang; Quanbo Ge; Zhenyu Lu 002; Tianming Zhan (ICARM, 2019)

A Stackable Attention-Guided Multi-scale CNN for Number Plate Detection. - Yixuan Wang; Shangdong Zheng; Wei Xu; Yang Xu 006; Tianming Zhan; Peng Zheng; Zhihui Wei; Zebin Wu 001 (ICIG (1), 2019)

Hyperspectral Classification Via Low-Rank Component Induced Spatial-Spectral Kernel. - Le Sun 003; Fei Yan; Tianming Zhan (IGARSS, 2019)

A Hybrid Task Scheduling Scheme for Heterogeneous Vehicular Edge Systems. - Xiao Chen 003; Nigel Thomas; Tianming Zhan; Jie Ding 008 (IEEE Access, 2019)

Tri-Direction 2D-Fisher Discriminant Analysis (T2D-FDA) for Feature Extraction. - Minghua Wan; Hao Zheng; Guowei Yang 002; Tianming Zhan; Wei Huang (IEEE Access, 2019)

Robust Regression-Based Markov Random Field for Hyperspectral Image Classification. - Tianming Zhan; Minghua Wan; Le Sun 002; Yang Xu 006; Guowei Yang 002; Zhenyu Lu 002; Zebin Wu 001 (IEEE Access, 2019)

Brain Lesion Segmentation Based on Joint Constraints of Low-Rank Representation and Sparse Representation. - Ting Ge; Ning Mu; Tianming Zhan; Zhi Chen 024; Wanrong Gao; Shanxiang Mu (Comput. Intell. Neurosci., 2019)

A method of visibility forecast based on hierarchical sparse representation. - Zhenyu Lu 002; Bingjian Lu; Hengde Zhang; You Fu; Yunan Qiu; Tianming Zhan (J. Vis. Commun. Image Represent., 2019)

Neutrosophic C-means clustering with local information and noise distance-based kernel metric image segmentation. - Zhenyu Lu 002; Yunan Qiu; Tianming Zhan (J. Vis. Commun. Image Represent., 2019)

Discriminant maximum margin projections for face recognition. - Zhangjing Yang; Pu Huang; Minghua Wan; Tianming Zhan; Fanlong Zhang; Limin Luo (Multim. Tools Appl., 2019)

A novel method for breast mass segmentation: from superpixel to subpixel segmentation. - Shenghua Gu; Yi Chen; Fangqing Sheng; Tianming Zhan; Yunjie Chen (Mach. Vis. Appl., 2019)

Hyperspectral Image Restoration for Non-additive Noise. - Fanlong Zhang; Heyou Chang; Zhangjing Yang; Tianming Zhan; Guowei Yang 002 (PRCV (1), 2020)

SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition Regions. - Guowei Yang 002; Shaohua Qi; Teng Yu; Minghua Wan; Zhangjing Yang; Tianming Zhan; Fanlong Zhang; Zhihui Lai 001 (IEEE Access, 2020)

Multiscale Superpixel Kernel-Based Low-Rank Representation for Hyperspectral Image Classification. - Tianming Zhan; Zhenyu Lu 002; Minghua Wan; Guowei Yang 002 (IEEE Geosci. Remote. Sens. Lett., 2020)

The classification of gliomas based on a Pyramid dilated convolution resnet model. - Zhenyu Lu 002; Yanzhong Bai; Yi Chen 023; Chunqiu Su; Shanshan Lu; Tianming Zhan; Xunning Hong; Shuihua Wang (Pattern Recognit. Lett., 2020)

3-D Channel and Spatial Attention Based Multiscale Spatial-Spectral Residual Network for Hyperspectral Image Classification. - Zhenyu Lu 002; Bin Xu; Le Sun 002; Tianming Zhan; Songze Tang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Weighted Nonlocal Low-Rank Tensor Decomposition Method for Sparse Unmixing of Hyperspectral Images. - Le Sun 002; Feiyang Wu; Tianming Zhan; Wei Liu 010; Jin Wang 001; Byeungwoo Jeon (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Anomaly Detection in Hyperspectral Image Using 3D-Convolutional Variational Autoencoder. - Jingfa Zhang; Yang Xu 006; Tianming Zhan; Zebin Wu 001; Zhihui Wei (IGARSS, 2021)

Sparse Graph Embedding Based on the Fuzzy Set for Image Classification. - Minghua Wan; Mengting Ge; Tianming Zhan; Zhangjing Yang; Hao Zheng; Guowei Yang 002 (Complex., 2021)

Sparse fuzzy two-dimensional discriminant local preserving projection (SF2DDLPP) for robust image feature extraction. - Minghua Wan; Xueyu Chen; Tianming Zhan; Chao Xu; Guowei Yang 002; Huiting Zhou (Inf. Sci., 2021)

SSCNN-S: A Spectral-Spatial Convolution Neural Network with Siamese Architecture for Change Detection. - Tianming Zhan; Bo Song; Yang Xu 006; Minghua Wan; Xin Wang; Guowei Yang 002; Zebin Wu 001 (Remote. Sens., 2021)

TDSSC: A Three-Directions Spectral-Spatial Convolution Neural Network for Hyperspectral Image Change Detection. - Tianming Zhan; Bo Song; Le Sun 002; Xiuping Jia; Minghua Wan; Guowei Yang 002; Zebin Wu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Tensor Regression and Image Fusion-Based Change Detection Using Hyperspectral and Multispectral Images. - Tianming Zhan; Yanwen Sun; Yongsheng Tang; Yang Xu 006; Zebin Wu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

An Efficient Formal Modeling Framework for Hybrid Cloud-Fog Systems. - Xiao Chen 003; Jie Ding 008; Zhenyu Lu 002; Tianming Zhan (IEEE Trans. Netw. Sci. Eng., 2021)

A new weakly supervised discrete discriminant hashing for robust data representation. - Minghua Wan; Xueyu Chen; Cairong Zhao; Tianming Zhan; Guowei Yang 002 (Inf. Sci., 2022)

BRCN-ERN: A Bidirectional Reconstruction Coding Network and Enhanced Residual Network for Hyperspectral Change Detection. - Bo Song; Yongsheng Tang; Tianming Zhan; Zebin Wu 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Weighted Collaborative Sparse and L1/2 Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing. - Le Sun 002; Feiyang Wu; Chengxun He; Tianming Zhan; Wei Liu 010; Daopan Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

MMSRC: A Multidirection Multiscale Spectral-Spatial Residual Network for Hyperspectral Multiclass Change Detection. - Hongmei Ge; Yongsheng Tang; Zuolin Bi; Tianming Zhan; Yang Xu 006; Aibo Song (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Supervised Low-Rank Embedded Regression (SLRER) for Robust Subspace Learning. - Minghua Wan; Yu Yao; Tianming Zhan; Guowei Yang 002 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Spatial-Spectral Local Domain Adaption for Cross Domain Few Shot Hyperspectral Images Classification. - Biqi Wang; Yang Xu 006; Zebin Wu 001; Tianming Zhan; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2022)

A Novel Cross-Scale Octave Network for Hyperspectral and Multispectral Image Fusion. - Tianming Zhan; Zuolin Bi; Huapeng Wu; Chao Xu; Qian Du 001; Yang Xu 006; Zebin Wu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Low-rank 2D local discriminant graph embedding for robust image feature extraction. - Minghua Wan; Xueyu Chen; Tianming Zhan; Guowei Yang 002; Hai Tan; Hao Zheng (Pattern Recognit., 2023)

Robust non-negative supervised low-rank discriminant embedding (NSLRDE) for feature extraction. - Minghua Wan; Chengxu Yan; Tianming Zhan; Hai Tan; Guowei Yang 002 (Int. J. Mach. Learn. Cybern., 2023)

AuditWen: An Open-Source Large Language Model for Audit. - Jiajia Huang; Haoran Zhu; Chao Xu; Tianming Zhan; Qianqian Xie; Jimin Huang (CCL, 2024)

Spectral-Spatial Dual-Branch Cross-Enhanced Transformer for Hyperspectral Image Classification. - Hang Zhang; Tianming Zhan; Le Sun 002 (IGARSS, 2024)

AuditWen:An Open-Source Large Language Model for Audit. - Jiajia Huang; Haoran Zhu; Chao Xu; Tianming Zhan; Qianqian Xie; Jimin Huang (CoRR, 2024)

A hybrid U-shaped and transformer network for change detection in high-resolution remote sensing images. - Huapeng Wu; Mengxue Yuan; Tianming Zhan (IET Image Process., 2024)

An improved fuzzy c-means method based on multivariate skew-normal distribution for brain MR image segmentation. - Guiyuan Zhu; Shengyang Liao; Tianming Zhan; Yunjie Chen (KSII Trans. Internet Inf. Syst., 2024)

MFFCI-YOLOv8: A Lightweight Remote Sensing Object Detection Network Based on Multiscale Features Fusion and Context Information. - Sheng Xu; Lin Song; Junru Yin; Qiqiang Chen; Tianming Zhan; Wei Huang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

3DCNN-NF: Few-Shot Hyperspectral Image Change Detection Based on 3-D Convolution Neural Network and Normalizing Flow. - Bo Song; Zebin Wu 001; Yang Xu 006; Xinyuan Xia; Yu Xie; Tianming Zhan; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2024)

Channel Self-Attention Based Multiscale Spatial-Frequency Domain Network for Oriented Object Detection in Remote Sensing Imagery. - Yang Xu 006; Yushan Pan; Zebin Wu 001; Zhihui Wei; Tianming Zhan (IEEE Trans. Geosci. Remote. Sens., 2024)

A novel spatial and spectral transformer network for hyperspectral image super-resolution. - Huapeng Wu; Hui Xu; Tianming Zhan (Multim. Syst., 2024)

HCT: a hybrid CNN and transformer network for hyperspectral image super-resolution. - Huapeng Wu; Chenyun Wang; Chenyang Lu 010; Tianming Zhan (Multim. Syst., 2024)

Spatial-Spectral Cross Fusion Attention based Hyperspectral Image Super-Resolution for Land Resource Auditing. - Jinjin Zhang; Yu Wang; Ranchen Dai; Tianming Zhan; Xiaobing Yu (Informatica (Slovenia), 2025)

Local-Global Feature Extraction Network With Dynamic 3-D Convolution and Residual Attention Transformer for Hyperspectral Image Classification. - Qiqiang Chen; Zhengyang Li; Junru Yin; Wei Huang; Tianming Zhan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Bilinear Mixing Model-Based Spectral Decomposition Deep Neural Network for Hyperspectral Target Detection. - Yang Xu 006; Mingchao Xue; Qu Tian; Zebin Wu 001; Tianming Zhan; Xinyuan Xia; Yu Xie; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2025)

Spatial-Spectral Feature-Enhanced Mamba and SAM-Guided Hyperspectral Multiclass Change Detection. - Tianming Zhan; Jiaqiang Qi; Jinjin Zhang; Xiaobin Yu; Qian Du 001; Zebin Wu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Hyperspectral Images Change Detection Based on Dense Multi-scale Attention for Land Resource Auditing. - Jinjin Zhang; Ranchen Dai; Yongsheng Tang; Tianming Zhan; Xiaobing Yu (KSII Trans. Internet Inf. Syst., 2025)

A novel gradient and semantic-aware transformer network for low-light image enhancement. - Tianming Zhan; Chenyang Lu 010; Huapeng Wu; Chenyun Wang (Multim. Syst., 2025)