Publications

• Qinghe Ma, Zhen Zhao, Yiming Wu, Jian Zhang, Lei Bai, Yinghuan Shi. “ Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning. ” International Conference on Machine Learning (ICML), 2026. [Code]

• Yayuan Li, Ze Peng, Jian Zhang, Jintao Guo, Yue Duan, Yinghuan Shi. “ When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging. ” International Conference on Machine Learning (ICML), 2026. [Code]

• Ze Peng, Jian Zhang, Lei Qi, Yang Gao, Yinghuan Shi. “ Towards the Connection between Activation Sparsity and Flat Minima. ” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. [Code]

• Da Fang, Shumeng Li, Jiaqi Lu, Weihong Zhou, Yan Bi, Yinghuan Shi, Tianwei Gu. “ Data-driven classification of metabolic-associated steatotic liver disease subtypes predicting hepatic and extrahepatic progression. ” Chinese Medical Jounrnal (CMJ), 2026.

• Shumeng Li, Jintao Guo, Jian Zhang, Yulin Zhou, Luyang Cao, Yinghuan Shi. “ Duala: Dual-Level Alignment of Subjects and Stimuli for Cross-Subject fMRI Decoding. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [Code]

• Zhan Fa, Yue Duan, Jian Zhang, Lei Qi, Yinghuan Shi. “ One Token, Two Fates: A Unified Framework via Vision Token Manipulation Against MLLMs Hallucination. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. [Code]

• Zekun Li, Yinghuan Shi, Yang Gao, Dong Xu . “ Diffusion-Based Data Augmentation for Image Recognition: A Systematic Analysis and Evaluation. ” International Journal of Computer Vision (IJCV), 2026. [Code]

• Zhan Fa, Yue Duan, Jian Zhang, Lei Qi, Wanqi Yang, Yinghuan Shi. “ Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA. ” AAAI Conference on Artificial Intelligence (AAAI), 2026 (Accepted as Oral, rate = 4.5%). [Code]

• Shumeng Li, Jian Zhang, Lei Qi, Luping Zhou, Yinghuan Shi, Yang Gao. “ Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation. ” IEEE Transactions on Medical Imaging (TMI), 2025. [Code]

• Yue Duan, Lei Qi, Yinghuan Shi, Yang Gao. “ An Adaptor for Triggering Semi-supervised Learning to Out-of-Box Serve Deep Image Clustering. ” IEEE Transactions on Image Processing (TIP), 2025.

• Yuming Gu, Yating Gu, Maochen Yang, Shisi Tang, Jiawei Chen, Xinyi Liang, Dong Zheng, Zekun Li, Fengqi Song, Yang Gao, Yan Zhu, Yinghuan Shi, Jing Ma. “ High-throughput Design of Bimetallic Materials via the Multimodal Machine Learning and Accessibility Index. ” Chemical Science , 2025.

• Luyang Cao, Han Xu, Jian Zhang, Lei Qi, Jiayi Ma, Yinghuan Shi, Yang Gao. “ Towards Perfection: Building Inter-component Mutual Correction for Retinex-based Low-light Image Enhancement. ” ACM Conference on Multimedia (ACM MM), 2025. [Code]

• Ruofan Wang, Jintao Guo, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi. “ A Hybrid Dual-augmentation Constraint Framework for Single-source Domain Generalization in Medical Image Segmentation. ” Pattern Recognition (PR), 2025. [Code]

• Pengzi Zhang, Yinghuan Shi, Yuxin Guo, Yayuan Li, Hongli Yin, Tianyu Wu, Ye Zhu, Jiaxuan Jiang, Yan Bi. “ Social jetlag elicits fatty liver via perturbed circulating prolactin rhythm-mediated circadian remodeling of hepatic lipid metabolism. ” Military Medical Research, 2025.

• Haoran Wang, Zekun Li, Jian Zhang, Lei Qi, Yinghuan Shi. “ Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2025. [Code]

• Yue Duan, Taicai Chen, Lei Qi, Yinghuan Shi. “ Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2025. [Code]

• Ruofan Wang, Jintao Guo, Jian Zhang, Lei Qi, Yinghuan Shi. “ Fusing Dual Encoders: Single-source Domain Generalization with Extremely Few Annotations. ” Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025. [Code]

• Shumeng Li, Jian Zhang, Lei Qi, Yinghuan Shi. “ GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion. ” Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025. [Code]

• Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation. ” IEEE Transactions on Medical Imaging (TMI), 2025. [Code]

• Luyang Cao, Jianwei Li, Yinghuan Shi. “ Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation. ” IEEE Transactions on Image Processing (TIP), 2025. [Code]

• Zihan Cheng, Jintao Guo, Jian Zhang, Lei Qi, Luping Zhou, Yinghuan Shi, Yang Gao. “ Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation. ” IEEE Transactions on Medical Imaging (TMI), 2025. [Code]

• You Wang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists. ” IEEE Transactions on Medical Imaging (TMI), 2025. [Code]

• Haoran Wang, Lian Huai, Wenbin Li, Lei Qi, Xingqun Jiang, Yinghuan Shi. “ WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining. ” IEEE Transactions on Medical Imaging (TMI), 2025. [Code]

• Qinghe Ma, Jian Zhang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi. “ Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Code]

• Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi. “ Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Code]

• Maochen Yang, Zekun Li, Jian Zhang, Lei Qi, Yinghuan Shi. “ Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Code]

• Ze Peng, Jian Zhang, Yisen Wang, Lei Qi, Yinghuan Shi, Yang Gao. “ Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD. ” The Thirteenth International Conference on Learning Representations (ICLR), 2025. [Code]

• Shumeng Li, Lei Qi, Qian Yu, Jing Huo, Yinghuan Shi, Yang Gao. “ Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation. ” IEEE Transactions on Medical Imaging (TMI), 2025. [Code]

• Yayuan Li, Jintao Guo, Lei Qi, Wenbin Li, Yinghuan Shi. “ Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP. ” AAAI Conference on Artificial Intelligence (AAAI), 2025. [Code]

• 史颖欢, 郭金涛, 李泽昆, 祁磊, 高阳. “ 基于可泛化模型的复杂商务场景数据分析. ” 中国科学基金, 2024.

• Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao. “ START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation. ” Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. [Code]

• Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao. “ SETA: Semantic-Aware Edge-Guided Token Augmentation for Domain Generalization. ” IEEE Transactions on Image Processing (TIP), 2024. [Code]

• Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi. “ PC2: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval. ” ACM Conference on Multimedia (ACM MM), 2024. [Code]

• Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation. ” European Conference on Computer Vision (ECCV), 2024. [Code]

• Jiajun Hu, Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “ Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization. ” European Conference on Computer Vision (ECCV), 2024.

• Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “ Exploring Flat Minima for Domain Generalization with Large Learning Rates. ” IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. [Code]

• Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Code]

• Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng. “ NormAUG: Normalization-guided Augmentation for Domain Generalization. ” IEEE Transactions on Image Processing (TIP), 2024.

• Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng. “ MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. ” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2024.

• Zekun Li, Lei Qi, Yawen Li, Yinghuan Shi, Yang Gao. “ Open-Domain Semi-Supervised Learning via Glocal Cluster Structure Exploitation. ” IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. [Code]

• Na Wang, Lei Qi, Jintao Guo, Yinghuan Shi, Yang Gao. “ Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. ” IEEE Transactions on Image Processing (TIP), 2024. [Code]

• Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi. “ Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-grained Learning. ” AAAI Conference on Artificial Intelligence (AAAI), 2024. [Code]

• Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao. “ PG-LBO: Enhancing High-dimensional Bayesian Optimization with Pseudo-label and Gaussian Process Guidance. ” AAAI Conference on Artificial Intelligence (AAAI), 2024. [Code]

• Dongjia Zhao, Lei Qi, Xiao Shi, Yinghuan Shi, Xin Geng. “ A Novel Cross-Perturbation for Single Domain Generalization. ” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.

• Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng. “ Generalizable Metric Network for Cross-domain Person Re-identification. ” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.

• Xixuan Yu, Qinghe Ma, Tong Ling, Jiewen Zhu, Yinghuan Shi. “ Enhancing semi-supervised medical image segmentation with bidirectional copy-paste and masked image reconstruction. ” International Journal of Machine Learning and Cybernetics, 1-11, 2024.

• You Wang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ Enhancing Weakly Supervised Medical Segmentation via Heterogeneous Co-training with Box-Wise Augmentation and Pseudo-Label Filtering. ” International Conference on Intelligence Science (ICIS), 2024.

• Lei Qi, Dongjia Zhao, Yinghuan Shi, Xin Geng. “ Patch-aware Batch Normalization for Improving Cross-domain Robustness. ” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.

• Jiajun Hu, Lei Qi, Jian Zhang, Yinghuan Shi. “ Domain Generalization via Inter-domain Alignment and Intra-domain Expansion. ” Pattern Recognition (PR), 2023.

• Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao. “ PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization. ” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2023. [Code]

• Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao and Jiebo Luo. “ LibFewShot: A Comprehensive Library for Few-shot Learning. ” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [Code]

• Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao. “ FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. ” Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), 2023. [Code]

• Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “ DomainAdaptor: A Novel Approach to Test-time Adaptation. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [Code]

• Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao. “ IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023 (Accepted as Oral, rate = 1.8%). [Code]

• Jintao Guo, Lei Qi, Yinghuan Shi. “ DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [Code]

• Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao. “ Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [Code]

• Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi. “ Towards Semi-supervised Learning with Non-random Missing Labels. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [Code]

• Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi. “ Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023 (Accepted as Oral, rate = 1.8%). [Code]

• Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi. “ Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [Code]

• Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks. ” Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 (Early Acceptance). [Code]

• Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng. “ Unsupervised Generalizable Multi-source Person Re-identification: A Domain-specific Adaptive Framework. ” Pattern Recognition (PR), 2023. [Code]

• Jintao Guo, Na Wang, Lei Qi, Yinghuan Shi. “ ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-Frequency Transform for Domain Generalization. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [Code]

• Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi. “ Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [Code]

• Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [Code]

• Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao. “ MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization. ” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. [Code]

• Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo. “ A Multilayer Framework for Online Metric Learning. ” IIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

• Ziyuan Wang, Zhen Zhao, Lei Qi, Yinghuan Shi, Yang Gao. “ Adaptive Weight of Unreliable Relation Module for Semi-supervised Multi-label Image Recognition. ” IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS), 2022.

• Shumeng Li, Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation. ” IEEE Transactions on Medical Imaging (TMI), 2022. [Code]

• Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi. “ Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class. ” Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), 2022. (Accepted as Spotlight, 5%) [Code]

• Qian Yu, Lei Qi, Yang Gao, Wuzhang Wang, Yinghuan Shi. “ Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation. ” IEEE Transactions on Image Processing (TIP), 2022. [Code]

• Ruiqi Wang, Lei Qi, Yinghuan Shi, Yang Gao. “ Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization. ” Pattern Recognition (PR), 2022.

• Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng. “ A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification. ” IEEE Transactions on Multimedia (TMM), 2022.

• Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “MVDG: A Unified Multi-view Framework for Domain Generalization.” European Conference on Computer Vision (ECCV), 2022. [Code]

• Ziqi Zhou, Lei Qi, Yinghuan Shi. “Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration.” European Conference on Computer Vision (ECCV), 2022. [Code]

• Yue Duan, Lei Qi, Lei Wang, Luping Zhou, and Yinghuan Shi. “RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning.” European Conference on Computer Vision (ECCV), 2022. [Code]

• Yang Liu, Kun Gao, Hongbin Deng, Tong Ling, Jiajia Lin, Xianqiang Yu, Xiangwei Bo, Jing Zhou, Lin Gao, Peng Wang, Jiajun Hu, Jian Zhang, Zhihui Tong, Yuxiu Liu, Yinghuan Shi, Lu Ke, Yang Gao, Weiqin Li. “A Time-Incorporated SOFA Score-Based Machine Learning Model for Predicting Mortality in Critically Ill Patients: A Multicenter, Real-world Study.” International Journal of Medical Informatics (IJMI), 2022.

• Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao. “ ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Code]

• Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi. “ Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Code]

• Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, and Yinghuan Shi. “ DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

• Weilei Wen, Wenqi Ren, Yinghuan Shi, Jingang Zhang, and Xiaochun Cao. “ Video Super-Resolution via a Spatio-Temporal Alignment Network. ” IEEE Transactions on Image Processing (TIP), 2022.

• Yue Wang, Lei Qi, Yinghuan Shi, Yang Gao. “Feature-based Style Randomization for Domain Generalization. ” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.

• Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao. “ LaSSL: Label-guided Self-training for Semi-supervised Learning.” AAAI Conf. on Artificial Intelligence (AAAI), 2022.

• Gaoping Liu, Zehong Cao, Qiang Xu, Qirui Zhang, Fang Yang, Xinyu Xie, Jingru Hao, Yinghuan Shi, Boris C. Bernhardt, Yichu He, Feng Shi, Guangming Lu, Zhiqiang Zhang. “Salvaging diagnostic MRI for empowering brain morphometric research – Critical &practical assessment on learning-based image super-resolution.” NeuroImage, 2021.

• Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao. “Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation.” IEEE Transactions on Medical Imaging (TMI), 2021.

• Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “ Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization.” Pattern Recognition (PR), 2021.   [Code]

• Ziteng Liu, Yinghuan Shi, Hongwei Chen, Tiexin Qin, Xuejie Zhou, Jun Huo, Hao Dong, Xiao Yang, Xiangdong Zhu, Xuening Chen, Li Zhang, Mingli Yang, Yang Gao, Jing Ma. “ Machine Learning on Properties of Multiscale Multisource Hydroxyapatite Nanoparticles Datasets with Different Morphologies and Sizes.” NPJ Computational Materials, 2021.

• Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao. “Deep Symmetric Adaptation Network or Cross-modality Medical Image Segmentation.” IEEE Transactions on Medical Imaging (TMI), 2021.

• Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao. “Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. ” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.

• Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao. “Every Pixel Matters: Mining Latent Classes for Few-shot Segmentation. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2021. (Accepted as oral, 3%)

• Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao. “Manifold Alignment for Semantically Aligned Style Transfer. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2021. (Accepted as oral, 3%)

• Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen. “ A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.” Medical Image Analysis (MedIA), 2021.

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