A Fast Approximate AIB Algorithm for Distributional Word Clustering. - Lei Wang 001; Jianjia Zhang; Luping Zhou; Wanqing Li 001 (CVPR, 2013)

Accelerating the Divisive Information-Theoretic Clustering of Visual Words. - Jianjia Zhang; Lei Wang 001; Lingqiao Liu; Luping Zhou; Wanqing Li 001 (DICTA, 2013)

HEp-2 Cell Image Classification with Convolutional Neural Networks. - Zhimin Gao; Jianjia Zhang; Luping Zhou; Lei Wang 001 (I3A@ICPR, 2014)

Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification. - Jianjia Zhang; Luping Zhou; Lei Wang 001; Wanqing Li 001 (MLMI, 2014)

Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices. - Lei Wang 001; Jianjia Zhang; Luping Zhou; Chang Tang; Wanqing Li 001 (ICCV, 2015)

Functional Brain Network Classification With Compact Representation of SICE Matrices. - Jianjia Zhang; Luping Zhou; Lei Wang 001; Wanqing Li 001 (IEEE Trans. Biomed. Eng., 2015)

Exploiting Structure Sparsity for Covariance-based Visual Representation. - Jianjia Zhang; Lei Wang 001; Luping Zhou (CoRR, 2016)

Learning Discriminative Stein Kernel for SPD Matrices and Its Applications. - Jianjia Zhang; Lei Wang 001; Luping Zhou; Wanqing Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Unsupervised Matrix-valued Kernel Learning For One Class Classification. - Shaobo Dang; Xiongcai Cai; Yang Wang 002; Jianjia Zhang; Fang Chen 001 (CIKM, 2017)

Revisiting Metric Learning for SPD Matrix Based Visual Representation. - Luping Zhou; Lei Wang 001; Jianjia Zhang; Yinghuan Shi; Yang Gao 001 (CVPR, 2017)

Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity. - Jianjia Zhang; Luping Zhou; Lei Wang 001 (Pattern Recognit., 2017)

HEp-2 Cell Image Classification With Deep Convolutional Neural Networks. - Zhimin Gao; Lei Wang 001; Luping Zhou; Jianjia Zhang (IEEE J. Biomed. Health Informatics, 2017)

Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics. - Zhongyan Zhang; Lei Wang 001; Yang Wang 002; Luping Zhou; Jianjia Zhang; Fang Chen 001 (ICMR, 2018)

Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study. - Jianjia Zhang; Bin Li 015; Xuhui Fan 001; Yang Wang 002; Fang Chen 001 (PAKDD (1), 2018)

Correlation-Aware Next Basket Recommendation Using Graph Attention Networks. - Yuanzhe Zhang; Ling Luo 002; Jianjia Zhang; Qiang Lu; Yang Wang 002; Zhiyong Wang 001 (ICONIP (4), 2020)

10Gb/s Two-User Spatial Diversity FSO-CDMA Wiretap Channel Based on Reconfigurable Optical Encoder/Decoders. - Jianhua Ji; Zihua Zheng; Fang Peng; Jianjia Zhang; Bing Wu 003; Ming Xu 025; Ke Wang (IEEE Access, 2020)

Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray. - Jianjia Zhang (CoRR, 2020)

Inter-Vehicle Distance Estimation Method Based on Monocular Vision Using 3D Detection. - Ting Zhe; Liqin Huang; Qiang Wu 001; Jianjia Zhang; Chenhao Pei; Liangyu Li (IEEE Trans. Veh. Technol., 2020)

Beyond Covariance: SICE and Kernel Based Visual Feature Representation. - Jianjia Zhang; Lei Wang 001; Luping Zhou; Wanqing Li 001 (Int. J. Comput. Vis., 2021)

Spectral CT reconstruction via Spectral-Image Tensor and Bidirectional Image-gradient minimization. - Weiwen Wu; Hengyong Yu; Fenglin Liu; Jianjia Zhang; Varut Vardhanabhuti (Comput. Biol. Medicine, 2022)

Instance Image Retrieval by Learning Purely From Within the Dataset. - Zhongyan Zhang; Lei Wang 001; Yang Wang 002; Luping Zhou; Jianjia Zhang; Peng Wang 023; Fang Chen 004 (CoRR, 2022)

Diffusion Kernel Attention Network for Brain Disorder Classification. - Jianjia Zhang; Luping Zhou; Lei Wang 001; Mengting Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Full Image-Index Remainder Based Single Low-Dose DR/CT Self-supervised Denoising. - Yifei Long; Jiayi Pan 003; Yan Xi; Jianjia Zhang; Weiwen Wu (MICCAI (7), 2023)

Multi-perspective Adaptive Iteration Network for Metal Artifact Reduction. - Haiyang Mao; Yanyang Wang; Hengyong Yu; Weiwen Wu; Jianjia Zhang (MICCAI (10), 2023)

Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis. - Xiang Tang; Xiaocai Zhang; Mengting Liu; Jianjia Zhang (MICCAI (8), 2023)

Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval. - Zhongyan Zhang; Lei Wang 001; Yang Wang 002; Luping Zhou; Jianjia Zhang; Fang Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Flat-Panel Addressable Cold-Cathode X-Ray Source-Based Stationary CT Architecture. - Weiwen Wu; Jianjia Zhang; Shaoyu Wang 002; Jun Chen (IEEE Trans. Instrum. Meas., 2023)

A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification. - Xiaocai Zhang; Hui Peng; Jianjia Zhang; Yang Wang 002 (Expert Syst. Appl., 2023)

Kernel-based feature aggregation framework in point cloud networks. - Jianjia Zhang; Zhenxi Zhang; Lei Wang 001; Luping Zhou; Xiaocai Zhang; Mengting Liu; Weiwen Wu (Pattern Recognit., 2023)

FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging. - Dalong Chen; Jianjia Zhang; Wei-Shi Zheng 001; Ruixuan Wang (AAAI, 2024)

Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification. - Qixiang Zhang; Yuxiang Yang 009; Chen Zu; Jianjia Zhang; Xi Wu 004; Jiliu Zhou; Yan Wang 015 (CoRR, 2024)

SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features. - Zhuoshuo Li; Jiong Zhang; Youbing Zeng; Jiaying Lin; Dan Zhang; Jianjia Zhang; Duan Xu; Hosung Kim; Bingguang Liu; Mengting Liu (CoRR, 2024)

Knowledge-based Dual External Attention Network for peptide detectability prediction. - Xiaocai Zhang; Hui Peng; Tao Tang; Yuansheng Liu; Yang Wang 002; Jianjia Zhang (Knowl. Based Syst., 2024)

Constructing hierarchical attentive functional brain networks for early AD diagnosis. - Jianjia Zhang; Yunan Guo; Luping Zhou; Lei Wang 001; Weiwen Wu; Dinggang Shen (Medical Image Anal., 2024)

Comparative evaluation of interpretation methods in surface-based age prediction for neonates. - Xiaotong Wu; Chenxin Xie; Fangxiao Cheng; Zhuoshuo Li; Ruizhuo Li; Duan Xu; Hosung Kim; Jianjia Zhang; Hongsheng Liu; Mengting Liu (NeuroImage, 2024)

Source-free domain adaptation via dynamic pseudo labeling and Self-supervision. - Qiankun Ma; Jie Zeng; Jianjia Zhang; Chen Zu; Xi Wu 004; Jiliu Zhou; Jie Chen; Yan Wang 015 (Pattern Recognit., 2024)

CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction. - Yujie Yang; Lin Hu; Chen Zu; Jianjia Zhang; Yun Hou; Ying Chen; Jiliu Zhou; Luping Zhou; Yan Wang 015 (Pattern Recognit., 2024)

Self-Fusion Simplex Noise-Based Diffusion Model for Self-Supervised Low-Dose Digital Radiography Denoising. - Yanyang Wang; Zirong Li; Weifei Wu; Jianjia Zhang; Weiwen Wu (IEEE Trans. Instrum. Meas., 2024)

Two-and-a-half order score-based model for solving 3D ill-posed inverse problems. - Zirong Li; Yanyang Wang; Jianjia Zhang; Weiwen Wu; Hengyong Yu (Comput. Biol. Medicine, 2024)

A Viewpoint Adaptation Ensemble Contrastive Learning framework for vessel type recognition with limited data. - Xiaocai Zhang; Zhe Xiao; Xiuju Fu; Xiaoyang Wei 003; Tao Liu 016; Ran Yan 002; Zheng Qin 004; Jianjia Zhang (Expert Syst. Appl., 2024)

Wavelet-Improved Score-Based Generative Model for Medical Imaging. - Weiwen Wu; Yanyang Wang; Qiegen Liu; Ge Wang 001; Jianjia Zhang (IEEE Trans. Medical Imaging, 2024)

Adaptive and Iterative Learning With Multi-Perspective Regularizations for Metal Artifact Reduction. - Jianjia Zhang; Haiyang Mao; Dingyue Chang; Hengyong Yu; Weiwen Wu; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Dual-Domain Collaborative Diffusion Sampling for Multi-Source Stationary Computed Tomography Reconstruction. - Zirong Li; Dingyue Chang; Zhenxi Zhang; Fulin Luo; Qiegen Liu; Jianjia Zhang; Guang Yang 006; Weiwen Wu (IEEE Trans. Medical Imaging, 2024)

Multi-Channel Optimization Generative Model for Stable Ultra-Sparse-View CT Reconstruction. - Weiwen Wu; Jiayi Pan 003; Yanyang Wang; Shaoyu Wang 002; Jianjia Zhang (IEEE Trans. Medical Imaging, 2024)

Wavelet-Inspired Multi-Channel Score-Based Model for Limited-Angle CT Reconstruction. - Jianjia Zhang; Haiyang Mao; Xinran Wang; Yuan Guo; Weiwen Wu (IEEE Trans. Medical Imaging, 2024)

Trustworthy Limited Data CT Reconstruction Using Progressive Artifact Image Learning. - Jianjia Zhang; Zirong Li; Jiayi Pan 003; Shaoyu Wang 002; Weiwen Wu (IEEE Trans. Image Process., 2025)

Multi-Level Noise Sampling From Single Image for Low-Dose Tomography Reconstruction. - Weiwen Wu; Yifei Long; Zhifan Gao; Guang Yang 006; Fangxiao Cheng; Jianjia Zhang (IEEE J. Biomed. Health Informatics, 2025)

Asynchronous Functional Brain Network Construction With Spatiotemporal Transformer for MCI Classification. - Jianjia Zhang; Xiaotong Wu; Xiang Tang; Luping Zhou; Lei Wang 001; Weiwen Wu; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

Natural language processing and text mining in transportation: Current status, challenges, and future roadmap. - Xiaocai Zhang; Ruobin Gao; Zhe Xiao; Ke Wang; Tao Liu 016; Maohan Liang; Jianjia Zhang (Expert Syst. Appl., 2026)

SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features. - Zhuoshuo Li; Jiong Zhang; Youbing Zeng; Jiaying Lin; Dan Zhang 026; Jianjia Zhang; Duan Xu; Hosung Kim; Bingguang Liu; Mengting Liu (Medical Image Anal., 2026)