| 2026 | AAAI | LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation. | Lin Du, Lu Bai, Jincheng Li, Lixin Cui, Hangyuan Du, Lichi Zhang, Yuting Chen, Zhao Li |
| 2025 | ICDE | AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). | Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock |
| 2025 | MICCAI | Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching. | Manman Fei, Zhenrong Shen, Mengjun Liu, Zhiyun Song, Yusong Sun, Xu Han, Zelin Liu, Haotian Jiang, Lu Bai, Qian Wang, Lichi Zhang |
| 2025 | MICCAI | Weakly Semi-supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning. | Manman Fei, Zhiyun Song, Zhenrong Shen, Mengjun Liu, Qian Wang, Lichi Zhang |
| 2025 | MICCAI | Multi-task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation. | Haotian Jiang, Haolin Huang, Jiangdong Cai, Mengjie Xu, Zhenrong Shen, Manman Fei, Xinyu Wang, Lichi Zhang, Qian Wang |
| 2025 | MICCAI | High-Precision Mixed Feature Fusion Network Using Hypergraph Computation for Cervical Abnormal Cell Detection. | Jincheng Li, Danyang Dong, Menglin Zheng, Jingbo Zhang, Yueqin Hang, Lichi Zhang, Lili Zhao |
| 2025 | MICCAI | RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis. | Yusong Sun, Dongdong Chen, Mengjun Liu, Zhenrong Shen, Zhiyun Song, Yuqi Hu, Manman Fei, Xu Han, Zelin Liu, Xingkai Fang, Lu Bai, Lichi Zhang |
| 2024 | MICCAI | Self-supervised Learning with Adaptive Graph Structure and Function Representation for Cross-Dataset Brain Disorder Diagnosis. | Dongdong Chen, Linlin Yao, Mengjun Liu, Zhenrong Shen, Yuqi Hu, Zhiyun Song, Qian Wang, Lichi Zhang |
| 2024 | MICCAI | Affinity Learning Based Brain Function Representation for Disease Diagnosis. | Mengjun Liu, Zhiyun Song, Dongdong Chen, Xin Wang, Zixu Zhuang, Manman Fei, Lichi Zhang, Qian Wang |
| 2024 | MICCAI | Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets. | Xiangyu Zhao, Xi Ouyang, Lichi Zhang, Zhong Xue, Dinggang Shen |
| 2023 | MICCAI | Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening. | Jiangdong Cai, Honglin Xiong, Maosong Cao, Luyan Liu, Lichi Zhang, Qian Wang |
| 2023 | MICCAI | Detection-Free Pipeline for Cervical Cancer Screening of Whole Slide Images. | Maosong Cao, Manman Fei, Jiangdong Cai, Luyan Liu, Lichi Zhang, Qian Wang |
| 2023 | MICCAI | Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis. | Dongdong Chen, Mengjun Liu, Zhenrong Shen, Xiangyu Zhao, Qian Wang, Lichi Zhang |
| 2023 | MICCAI | FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis. | Dongdong Chen, Lichi Zhang |
| 2023 | MICCAI | Robust Cervical Abnormal Cell Detection via Distillation from Local-Scale Consistency Refinement. | Manman Fei, Xin Zhang, Maosong Cao, Zhenrong Shen, Xiangyu Zhao, Zhiyun Song, Qian Wang, Lichi Zhang |
| 2023 | MICCAI | CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification. | Zhenrong Shen, Maosong Cao, Sheng Wang, Lichi Zhang, Qian Wang |
| 2023 | MICCAI | Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images. | Zhiyun Song, Xin Wang, Xiangyu Zhao, Sheng Wang, Zhenrong Shen, Zixu Zhuang, Mengjun Liu, Qian Wang, Lichi Zhang |
| 2023 | MICCAI | One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification. | Xiangyu Zhao, Zhenrong Shen, Dongdong Chen, Sheng Wang, Zixu Zhuang, Qian Wang, Lichi Zhang |
| 2023 | MICCAI | CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees. | Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang |
| 2022 | MICCAI | Parallel Classification of Cells in Thinprep Cytology Test Image for Cervical Cancer Screening. | Maosong Cao, Xin Zhang, Xiangshan Fan, Lichi Zhang, Qian Wang |
| 2022 | MICCAI | Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning. | Xin Zhang, Maosong Cao, Sheng Wang, Jiayin Sun, Xiangshan Fan, Qian Wang, Lichi Zhang |
| 2022 | MICCAI | Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis. | Zixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang |
| 2021 | MICCAI | False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-supervised Learning. | Xiaping Du, Jiayu Huo, Yuanfang Qiao, Qian Wang, Lichi Zhang |
| 2021 | MICCAI | Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance. | Yuanfang Qiao, Haoyi Tao, Jiayu Huo, Wenjun Shen, Qian Wang, Lichi Zhang |
| 2021 | MICCAI | Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head. | Haoyi Tao, Yuanfang Qiao, Lichi Zhang, Yiqiang Zhan, Zhong Xue, Qian Wang |
| 2021 | MICCAI | 3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. | Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen |
| 2020 | MICCAI | A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency. | Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang |
| 2020 | MICCAI | Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. | Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen |
| 2020 | MICCAI | Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning. | Tong Li, Kai Xuan, Zhong Xue, Lei Chen, Lichi Zhang, Dahong Qian |
| 2020 | MICCAI | Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. | Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen |
| 2020 | MICCAI | Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning. | Jianyuan Zhang, Feng Shi, Lei Chen, Zhong Xue, Lichi Zhang, Dahong Qian |
| 2020 | MICCAI | Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening. | Ming Zhou, Lichi Zhang, Xiaping Du, Xi Ouyang, Xin Zhang, Qijia Shen, Qian Wang |
| 2020 | SSPR | Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. | Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock |
| 2019 | MICCAI | cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit. | Yining Jiao, Oihane Mayo Ijurra, Lichi Zhang, Dinggang Shen, Qian Wang |
| 2019 | MICCAI | Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization. | Xuhua Ren, Lichi Zhang, Dongming Wei, Dinggang Shen, Qian Wang |
| 2019 | MICCAI | Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. | Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi |
| 2018 | SSPR | Malignant Brain Tumor Classification Using the Random Forest Method. | Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen |
| 2017 | MICCAI | Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks. | Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He, Dinggang Shen |
| 2017 | MICCAI | Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment. | Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen |
| 2017 | MICCAI | Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. | Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen |
| 2016 | MICCAI | Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease. | Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen |
| 2015 | MICCAI | Multi-atlas Context Forests for Knee MR Image Segmentation. | Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen |
| 2015 | MICCAI | Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests. | Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen |
| 2014 | MICCAI | Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. | Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen |
| 2012 | ICPR | Simultaneous reflectance estimation and surface shape recovery using polarisation. | Lichi Zhang, Edwin R. Hancock |
| 2012 | ICPR | A comprehensive polarisation model for surface orientation recovery. | Lichi Zhang, Edwin R. Hancock |
| 2012 | SSPR | Estimating Surface Characteristics and Extracting Features from Polarisation. | Lichi Zhang, Edwin R. Hancock, Jing Wu |
| 2011 | CAIP | Robust Shape and Polarisation Estimation Using Blind Source Separation. | Lichi Zhang, Edwin R. Hancock |
| 2011 | IBPRIA | Reflection Component Separation Using Statistical Analysis and Polarisation. | Lichi Zhang, Edwin R. Hancock, Gary A. Atkinson |