2025
Wenjian Huang, Guiping Cao, Jiahao Xia, Jingkun Chen, Hao Wang, Jianguo Zhang. H-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, 47(10), 9023-9042. [Paper] [Code]
Jingkun Chen, Wenjian Huang, Jianguo Zhang, Kurt Debattista, Jungong Han. Addressing Inconsistent Labeling with Cross Image Matching for Scribble-based Medical Image Segmentation [J]. IEEE Transactions on Image Processing, 2025, 34: 842-853. [Paper] [Code]
Jiahao Xia, Min Xu, Wenjian Huang, Jianguo Zhang, Haimin Zhang, Chunxia Xiao. Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment [J]. International Journal of Computer Vision, 2025, In Press. [Paper] [Code]
Guiping Cao, Tao Wang, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang. Open-Det: An Efficient Learning Framework for Open-Ended Detection [C]. ICML, 2025. [Paper] [Code]
Jiahao Xia, Yike Wu, Wenjian Huang, Jianguo Zhang, Jian Zhang. Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints [C]. ICCV, 2025. [Paper][Code]
Guiping Cao, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang, Yaowei Wang. Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection [J]. IEEE Transactions on Multimedia, 2025, In Press. [Paper]
Guiping Cao, Xiangyuan Lan, Wenjian Huang, Jianguo Zhang, Dongmei Jiang, Yaowei Wang. DS-Det: Single-Query Paradigm and Attention Disentangled Learning for Flexible Object Detection[C]. ACMMM, 2025. [Paper]
Yao Wang, Dong Yang, Zhi Qiao, Wenjian Huang, Liuzhi Yang, Zhen Qian. SpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image Detection [C]. IPMI, 2025. [Paper]
2024
Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu. Unsupervised Part Discovery via Dual Representation Alignment[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(12): 10597-10613. [Paper] [Code]
Guiping Cao, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang, Yaowei Wang. MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection [C]. IJCAI, 2024. [Paper] [Code]
Jingkun Chen, Changrui Chen, Wenjian Huang, Jianguo Zhang, Kurt Debattista, Jungong Han. Dynamic Contrastive Learning Guided by Class Confidence and Confusion Degree for Medical Image Segmentation [J]. Pattern Recognition, 2024, 145: 109881. [Paper]
Yao Wang, Jiahao Chen, Wenjian Huang, Pei Dong, Zhen Qian. Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations [C]. MICCAI, 2024. [Paper]
Jinglong Yang, Yichen Wu, Jun Cen, Wenjian Huang, Hong Wang, Jianguo Zhang. Continual Learning for Segment Anything Model Adaptation[J]. ArXiv, 2024. [Paper] [Code]
2023
Chenming Li, Daoan Zhang, Wenjian Huang, Jianguo Zhang. Cross Contrastive Feature Perturbation for Domain Generalization[C]. ICCV, 2023.[Paper] [Code]
Guiping Cao, Shengda Luo, Wenjian Huang, Xiangyuan Lan, Dongmei Jiang, Yaowei Wang, Jianguo Zhang. Strip-MLP: Efficient Token Interaction for Vision MLP [C]. ICCV, 2023. [Paper] [Code]
Jiahao Xia, Min Xu, Haimin Zhang, Jianguo Zhang, Wenjian Huang, Hu Cao, Shiping Wen. Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(8): 10358-10375. [Paper] [Code]
Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen Price, Carola-Bibiane Schönlieb. Expectation-maximization Regularised Deep Learning for Tumour Segmentation [C]. ISBI, 2023.[Paper]
Daoan Zhang, Chenming Li, Haoquan Li, Wenjian Huang, Lingyun Huang, Jianguo Zhang. Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation [C]. AAAI, 2023. [Paper]
2022
Wenjian Huang, Hao Wang, Jiahao Jia, Chengyan Wang, Jianguo Zhang. Density-driven Out-of-distribution Detection [C]. NeurIPS, 2022. [Paper] [Code]
Wenjian Huang, Weizheng Gao, Chao Hou, Dongxiao Zhang, Xiaoying Wang, Jue Zhang. Simultaneous Vessel Segmentation and Unenhanced Prediction using Self-supervised Dual-task Learning in 3D CTA (SVSUP) [J]. Computer Methods and Programs in Biomedicine, 2022, 224: 107001. [Paper]
Zijie Jin, Wenjian Huang, Ning Shen, Juan Li, Xiaochen Wang, Jiqiao Dong, Peter J Park, Ruibin Xi. Single-cell Gene Fusion Detection by scFusion [J]. Nature Communications, 2022, 13(1): 1-12. [Paper] [Code]
Jiahao Xia, Weiwei Qu, Wenjian Huang, Jianguo Zhang, Xi Wang, Min Xu. Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning [C]. CVPR, 2022. [Paper] [Code]
Earlier
Wenjian Huang, Hao Li, Rui Wang, Xiaodong Zhang, Xiaoying Wang, Jue Zhang. A Self‐supervised Strategy for Fully Automatic Segmentation of Renal Dynamic Contrast‐enhanced Magnetic Resonance Images[J]. Medical Physics, 2019, 46(10): 4417-4430. [Paper]
Jun Lv, Wenjian Huang, Jue Zhang, Xiaoying Wang. Performance of U-net based Pyramidal Lucas-kanade Registration on Free-breathing Multi-b-value Diffusion MRI of the Kidney [J]. The British Journal of Radiology, 2018, 91(1086): 20170813. [Paper]
Xin Qi, Lian Ding, Wenjian Huang, Bing Wen, Xiaohui Guo, Jue Zhang. An Improved Automated Type‐based Method for Area Assessment of Wound Surface[J]. Wound Repair and Regeneration, 2017, 25(1): 150-158. [Paper].
Hao Li, Bo Li, Wenjian Huang, Li Dong, Jue Zhang. Flow Artifact Removal in Carotid Wall Imaging based on Black and Gray‐blood Dual‐contrast Images Subtraction [J]. Magnetic Resonance in Medicine, 2017, 77(4): 1612-1618. [Paper]
Hanjing Kong, Wenjian Huang, Mei Yang, Weihai Xu, Yining Huang, and Jue Zhang An Automatic System for Asymmetry Vein Analysis in Patients with Acute Ischemic Stroke [C]. ISMRM, 2018. [Paper]
Hanjing Kong, Fei Gao, Wenjian Huang, Weihai Xu, Yining Huang, and Jue Zhang. An Accurate and Efficient Infarction Segmentation Method for Diffusion Weighted Images using a Deep Convolutional Neural Network. ISMRM, 2018. [Paper]
Wenjian Huang, Hao Li, Jue Zhang, Xiaoying Wang, Jing Fang. A Supervised Automated Segmentation Strategy for Renal DCE-MR Images. ISMRM, 2017. [Paper]
Jun Lv, Wenjian Huang, Jue Zhang, Xiaoying Wang, Jing Fang. Motion Correction of Multi-b-value Diffusion-Weighted Images in the Kidney by Pyramidal Lucas-Kanade Registration. ISMRM, 2017. [Paper]
Lian Ding, Fei Gao, Chengyan Wang, Wenjian Huang, Jue Zhang, Xiaoying Wang, Jing Fang. Quantitative Lower Limb Perfusion Territory Imaging with Vessel Encoded Arterial Spin Labeling. ISMRM, 2017. [Paper]
Chengyan Wang, Hanjing Kong, Fei Gao, Wenjian Huang, Lian Ding, Rui Wang, Li Jiang, Yan Jia, Hui Xu, He Wang, Xiaodong Zhang, Li Yang, Jue Zhang, Xiaoying Wang, Jing Fang. Comparison of BOLD-contrast Imaging and DW Imaging for Early Prediction of Renal Damage after Microemboli-induced Acute Kidney Injury in Animal Model. ISMRM, 2017. [Paper]
Chengyan Wang, Fei Gao, Hanjing Kong, Li Jiang, Wenjian Huang, Rui Wang, Kai Zhao, Yan Jia, Hui Xu, He Wang, Xiaodong Zhang, Li Yang, Jue Zhang, Xiaoying Wang, Jing Fang. A Feasibility Study of using Noninvasive Renal Oxygenation Imaging to Delineate Different Severities of Renal Ischemia in Atheroembolic Renal Disease Model. ISMRM, 2017. [Paper]
Chengyan Wang, Li Jiang, Hanjing Kong, Fei Gao, Wenjian Huang, Rui Wang, Lian Ding, Yan Jia, Hui Xu, He Wang, Xiaodong Zhang, Li Yang, Jue Zhang, Xiaoying Wang, Jing Fang. Targeted-FOV DWI Can Better Depict the Microemboli-induced Renal Lesions Comparing to Conventional Full-FOV DWI. ISMRM, 2017. [Paper]