| 2026 | AAAI | Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA. | Zhan Fa, Yue Duan, Jian Zhang, Lei Qi, Wanqi Yang, Yinghuan Shi |
| 2025 | AAAI | Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP. | Yayuan Li, Jintao Guo, Lei Qi, Wenbin Li, Yinghuan Shi |
| 2025 | CVPR | Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation. | Qinghe Ma, Jian Zhang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi |
| 2025 | CVPR | Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization. | Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi |
| 2025 | CVPR | Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting. | Maochen Yang, Zekun Li, Jian Zhang, Lei Qi, Yinghuan Shi |
| 2025 | ICCV | Divide-And-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-Supervised Continual Learning. | Yue Duan, Taicai Chen, Lei Qi, Yinghuan Shi |
| 2025 | ICCV | Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild. | Haoran Wang, Zekun Li, Jian Zhang, Lei Qi, Yinghuan Shi |
| 2025 | ICLR | Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD. | Ze Peng, Jian Zhang, Yisen Wang, Lei Qi, Yinghuan Shi, Yang Gao |
| 2025 | MICCAI | GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion. | Shumeng Li, Jian Zhang, Lei Qi, Yinghuan Shi |
| 2025 | MICCAI | Fusing Dual Encoders: Single-Source Domain Generalization with Extremely Few Annotations. | Ruofan Wang, Jintao Guo, Jian Zhang, Lei Qi, Yinghuan Shi |
| 2024 | AAAI | PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. | Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao |
| 2024 | AAAI | Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. | Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2024 | CVPR | Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation. | Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao |
| 2024 | ECCV | Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization. | Jiajun Hu, Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao |
| 2024 | ECCV | The Devil Is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation. | Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao |
| 2023 | CVPR | Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation. | Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao |
| 2023 | CVPR | ALOFT: A Lightweight MLP-Like Architecture with Dynamic Low-Frequency Transform for Domain Generalization. | Jintao Guo, Na Wang, Lei Qi, Yinghuan Shi |
| 2023 | CVPR | Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. | Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi |
| 2023 | ICCV | DomainAdaptor: A Novel Approach to Test-time Adaptation. | Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao |
| 2023 | ICCV | IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. | Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao |
| 2023 | ICCV | Towards Semi-supervised Learning with Non-random Missing Labels. | Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2023 | ICCV | Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. | Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2023 | ICCV | DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. | Jintao Guo, Lei Qi, Yinghuan Shi |
| 2023 | ICCV | Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization. | Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi |
| 2023 | ICCV | Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. | Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao |
| 2023 | MICCAI | 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching Between 3D and 2D Networks. | Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao |
| 2022 | AAAI | LaSSL: Label-Guided Self-Training for Semi-supervised Learning. | Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao |
| 2022 | CVPR | ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation. | Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao |
| 2022 | CVPR | DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning. | Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi |
| 2022 | CVPR | Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization. | Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi |
| 2022 | ECCV | RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. | Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi |
| 2022 | ECCV | MVDG: A Unified Multi-view Framework for Domain Generalization. | Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao |
| 2022 | ECCV | Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration. | Ziqi Zhou, Lei Qi, Yinghuan Shi |
| 2021 | ICCV | Manifold Alignment for Semantically Aligned Style Transfer. | Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao |
| 2021 | ICCV | Mining Latent Classes for Few-shot Segmentation. | Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao |
| 2020 | AAAI | Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation. | Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao |
| 2020 | ICASSP | Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. | Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen |
| 2020 | IJCAI | Asymmetric Distribution Measure for Few-shot Learning. | Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo |
| 2020 | IJCAI | Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. | Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao |
| 2019 | ICCV | A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. | Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao |
| 2019 | MICCAI | Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation. | Ziqi Zhou, Xinna Guo, Wanqi Yang, Yinghuan Shi, Luping Zhou, Lei Wang, Ming Yang |
| 2019 | PRICAI | MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification. | Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen |
| 2018 | ACCV | A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. | Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo |
| 2018 | BMVC | WebCaricature: a benchmark for caricature recognition. | Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin |
| 2018 | BMVC | Modelling Diffusion Process by Deep Neural Networks for Image Retrieval. | Yan Zhao, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao |
| 2018 | ICASSP | A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images. | Pinzhuo Tian, Lei Qi, Yinghuan Shi, Luping Zhou, Yang Gao, Dinggang Sheri |
| 2018 | ICPR | A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images. | Minglin Ma, Yinghuan Shi, Wenbin Li, Yang Gao, Jun Xu |
| 2017 | AAAI | Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. | Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen |
| 2017 | CVPR | Revisiting Metric Learning for SPD Matrix Based Visual Representation. | Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao |
| 2017 | IDEAL | Cost-Sensitive Alternating Direction Method of Multipliers for Large-Scale Classification. | Huihui Wang, Yinghuan Shi, Xingguo Chen, Yang Gao |
| 2017 | MICCAI | Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation? | Yinghuan Shi, Wanqi Yang, Yang Gao, Dinggang Shen |
| 2017 | MICCAI | A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling. | Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen |
| 2016 | ICDM | A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data. | Huihui Wang, Yang Gao, Yinghuan Shi, Hao Wang |
| 2016 | IDEAL | Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering. | Xiaolong Qi, Yinghuan Shi, Hao Wang, Yang Gao |
| 2016 | IDEAL | Multi-view Subspace Clustering via a Global Low-Rank Affinity Matrix. | Lei Qi, Yinghuan Shi, Huihui Wang, Wanqi Yang, Yang Gao |
| 2015 | ICIP | Interactive image segmentation via cascaded metric learning. | Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao |
| 2014 | CVPR | Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis. | Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen |
| 2014 | IDEAL | A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model. | Yusheng Jia, Yang Gao, Wanqi Yang, Jing Huo, Yinghuan Shi |
| 2014 | MICCAI | Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization. | Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen |
| 2013 | CVPR | Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. | Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen |
| 2013 | IDEAL | Image Super Resolution via Visual Prior Based Digital Image Characteristics. | Yusheng Jia, Wanqi Yang, Yang Gao, Hujun Yin, Yinghuan Shi |
| 2013 | IDEAL | Voting-XCSc: A Consensus Clustering Method via Learning Classifier System. | Liqiang Qian, Yinghuan Shi, Yang Gao, Hujun Yin |
| 2012 | MICCAI | Transductive Prostate Segmentation for CT Image Guided Radiotherapy. | Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen |
| 2011 | IDEAL | P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model. | Yan Jin, Yang Gao, Yinghuan Shi, Lin Shang, Ruili Wang, Yubin Yang |
| 2010 | ICPR | Real-Time Abnormal Event Detection in Complicated Scenes. | Yinghuan Shi, Yang Gao, Ruili Wang |
| 2009 | GECCO | Apply ant colony optimization to Tetris. | Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, Yang Gao |
| 2009 | IDEAL | Clustering with XCS and Agglomerative Rule Merging. | Liangdong Shi, Yinghuan Shi, Yang Gao |