| 2025 | AAAI | SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks. | Meng Lou, Yunxiang Fu, Yizhou Yu |
| 2025 | AAAI | Autoregressive Sequence Modeling for 3D Medical Image Representation. | Siwen Wang, Churan Wang, Fei Gao, Lixian Su, Fandong Zhang, Yizhou Wang, Yizhou Yu |
| 2025 | CVPR | SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation. | Yunxiang Fu, Meng Lou, Yizhou Yu |
| 2025 | CVPR | OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels. | Meng Lou, Yizhou Yu |
| 2025 | ICCV | Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis. | Peng Zheng, Junke Wang, Yi Chang, Yizhou Yu, Rui Ma, Zuxuan Wu |
| 2024 | AAAI | FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. | Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu |
| 2024 | CVPR | RegionGPT: Towards Region Understanding Vision Language Model. | Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu |
| 2024 | CVPR | OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation. | Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu |
| 2024 | MICCAI | Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation. | Fei Gao, Siwen Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Churan Wang, Gang Yu, Yizhou Yu |
| 2024 | MICCAI | Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. | Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang |
| 2023 | AAAI | RankDNN: Learning to Rank for Few-Shot Learning. | Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge |
| 2023 | AAAI | Geometry-Aware Network for Domain Adaptive Semantic Segmentation. | Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, Shuguang Cui |
| 2023 | CVPR | MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence. | Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang |
| 2023 | CVPR | Improved Distribution Matching for Dataset Condensation. | Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu |
| 2023 | ICCV | Activate and Reject: Towards Safe Domain Generalization under Category Shift. | Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu |
| 2023 | ICCV | EGC: Image Generation and Classification via a Diffusion Energy-Based Model. | Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo |
| 2023 | ICLR | Learning Domain-Agnostic Representation for Disease Diagnosis. | Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang |
| 2023 | ICLR | Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning. | Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu |
| 2023 | ICLR | Advancing Radiograph Representation Learning with Masked Record Modeling. | Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu |
| 2022 | AAAI | A Causal Inference Look at Unsupervised Video Anomaly Detection. | Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu |
| 2022 | AAAI | A Causal Debiasing Framework for Unsupervised Salient Object Detection. | Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu |
| 2022 | BMVC | BOAT: Bilateral Local Attention Vision Transformer. | Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu |
| 2022 | CVPR | Compound Domain Generalization via Meta-Knowledge Encoding. | Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu |
| 2022 | CVPR | Scale-Equivalent Distillation for Semi-Supervised Object Detection. | Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo |
| 2022 | CVPR | Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. | Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang |
| 2022 | ECCV | Neighborhood Collective Estimation for Noisy Label Identification and Correction. | Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu |
| 2022 | ECCV | One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement. | Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang |
| 2022 | ECCV | Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. | Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu |
| 2022 | ICML | Disentangling Disease-related Representation from Obscure for Disease Prediction. | Chu-ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, Yizhou Wang |
| 2022 | MICCAI | Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. | Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu |
| 2021 | CVPR | I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. | Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu |
| 2021 | CVPR | Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. | Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu |
| 2021 | CVPR | Scene-Intuitive Agent for Remote Embodied Visual Grounding. | Xiangru Lin, Guanbin Li, Yizhou Yu |
| 2021 | CVPR | Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images. | Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui |
| 2021 | CVPR | Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization. | Haoyu Ma, Xiangru Lin, Zifeng Wu, Yizhou Yu |
| 2021 | CVPR | Bottom-Up Shift and Reasoning for Referring Image Segmentation. | Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu |
| 2021 | ICCV | Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. | Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu |
| 2021 | ICCV | ME-PCN: Point Completion Conditioned on Mask Emptiness. | Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu |
| 2021 | ICCV | GraphFPN: Graph Feature Pyramid Network for Object Detection. | Gangming Zhao, Weifeng Ge, Yizhou Yu |
| 2021 | ICCV | Multi-scale Matching Networks for Semantic Correspondence. | Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu |
| 2021 | ICCV | Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts. | Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu |
| 2021 | ICIP | CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. | Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu |
| 2021 | IJCAI | Noise2Grad: Extract Image Noise to Denoise. | Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu |
| 2021 | MICCAI | Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images. | Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu |
| 2021 | MICCAI | Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. | Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye |
| 2021 | MICCAI | CA-Net: Leveraging Contextual Features for Lung Cancer Prediction. | Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang |
| 2021 | MICCAI | Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction. | Liyan Sun, Hongyu Huang, Xinghao Ding, Yue Huang, Xiaoqing Liu, Yizhou Yu |
| 2021 | MICCAI | DAE-GCN: Identifying Disease-Related Features for Disease Prediction. | Chu-ran Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang |
| 2021 | MICCAI | Generator Versus Segmentor: Pseudo-healthy Synthesis. | Yunlong Zhang, Chenxin Li, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu |
| 2021 | MICCAI | CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. | Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye |
| 2021 | MICCAI | Self-supervised Correction Learning for Semi-supervised Biomedical Image Segmentation. | Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li |
| 2020 | CVPR | Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection. | Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu |
| 2020 | CVPR | Graph-Structured Referring Expression Reasoning in the Wild. | Sibei Yang, Guanbin Li, Yizhou Yu |
| 2020 | ECCV | Propagating Over Phrase Relations for One-Stage Visual Grounding. | Sibei Yang, Guanbin Li, Yizhou Yu |
| 2020 | ICIP | An End-To-End Network For Detecting Multi-Domain Fractures On X-Ray Images. | Shukai Wu, Lifeng Yan, Xiaoqing Liu, Yizhou Yu, Sanyuan Zhang |
| 2020 | MICCAI | Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity. | Ping Gong, Zihao Yin, Yizhou Wang, Yizhou Yu |
| 2020 | MICCAI | Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. | Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu |
| 2020 | MICCAI | Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction. | Qiuyue Liu, Zhen Zhou, Feng Liu, Xiangming Fang, Yizhou Yu, Yizhou Wang |
| 2020 | MICCAI | Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. | Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang |
| 2020 | MICCAI | BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification. | Chu-ran Wang, Fandong Zhang, Yizhou Yu, Yizhou Wang |
| 2020 | MICCAI | Adaptive Context Selection for Polyp Segmentation. | Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu |
| 2020 | MICCAI | Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices. | Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu |
| 2019 | AAAI | Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks. | Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu |
| 2019 | CVPR | Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up. | Weifeng Ge, Xiangru Lin, Yizhou Yu |
| 2019 | CVPR | Cross-Modal Relationship Inference for Grounding Referring Expressions. | Sibei Yang, Guanbin Li, Yizhou Yu |
| 2019 | CVPR | Multi-Source Weak Supervision for Saliency Detection. | Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu |
| 2019 | CVPR | Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms. | Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang |
| 2019 | ICCV | Motion Guided Attention for Video Salient Object Detection. | Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu |
| 2019 | ICCV | Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision. | Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu |
| 2019 | ICCV | Dynamic Graph Attention for Referring Expression Comprehension. | Sibei Yang, Guanbin Li, Yizhou Yu |
| 2019 | MICCAI | Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images. | Huai Chen, Xiuying Wang, Yijie Huang, Xiyi Wu, Yizhou Yu, Lisheng Wang |
| 2019 | MICCAI | Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation. | Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu |
| 2019 | MICCAI | From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network. | Yuhang Liu, Zhen Zhou, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, Yizhou Yu |
| 2019 | MICCAI | MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection. | Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu |
| 2019 | MICCAI | Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs. | Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang |
| 2018 | ACCV | ReCoNet: Real-Time Coherent Video Style Transfer Network. | Chang Gao, Derun Gu, Fangjun Zhang, Yizhou Yu |
| 2018 | CVPR | Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. | Weifeng Ge, Sibei Yang, Yizhou Yu |
| 2018 | ECCV | Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. | Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song |
| 2017 | CVPR | Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning. | Weifeng Ge, Yizhou Yu |
| 2017 | CVPR | Instance-Level Salient Object Segmentation. | Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu |
| 2017 | ICCV | High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference. | Xiaoguang Han, Zhen Li, Haibin Huang, Evangelos Kalogerakis, Yizhou Yu |
| 2017 | RECOMB | Folding Membrane Proteins by Deep Transfer Learning. | Zhen Li, Sheng Wang, Yizhou Yu, Jinbo Xu |
| 2016 | CVPR | Deep Contrast Learning for Salient Object Detection. | Guanbin Li, Yizhou Yu |
| 2016 | ECCV | LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling. | Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin |
| 2016 | IJCAI | Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks. | Zhen Li, Yizhou Yu |
| 2015 | CVPR | Visual saliency based on multiscale deep features. | Guanbin Li, Yizhou Yu |
| 2015 | ICCV | Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification. | Ruobing Wu, Baoyuan Wang, Wenping Wang, Yizhou Yu |
| 2015 | ICCV | HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition. | Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu |
| 2015 | ICCV | Piecewise Flat Embedding for Image Segmentation. | Yizhou Yu, Chaowei Fang, Zicheng Liao |
| 2015 | IVCNZ | Hybrid superpixel segmentation. | Yuan Liu, Shangqi Lai, Tianyi Du, Yizhou Yu |
| 2014 | ACCV | Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity. | Yuwang Wang, Baoyuan Wang, Yizhou Yu, Qionghai Dai, Zhuowen Tu |
| 2013 | CVPR | SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors. | Ruobing Wu, Yizhou Yu, Wenping Wang |
| 2013 | IJCNN | Sparse similarity matrix learning for visual object retrieval. | Zhicheng Yan, Yizhou Yu |
| 2013 | SIGGRAPH | Example-based art pattern synthesis using level sets. | Ruobing Wu, Wenping Wang, Yizhou Yu |
| 2012 | CVPR | Learning image-specific parameters for interactive segmentation. | Zhanghui Kuang, Dirk Schnieders, Hao Zhou, Kwan-Yee Kenneth Wong, Yizhou Yu, Bo Peng |
| 2012 | ICPR | Subspace segmentation with a Minimal Squared Frobenius Norm Representation. | Siming Wei, Yizhou Yu |
| 2011 | SiggraphA | Interactive 2D and volume image segmentation using level sets of probabilities. | Yugang Liu, Yizhou Yu |
| 2011 | SCA | Controllable Hand Deformation from Sparse Examples with Rich Details. | Hao-Da Huang, Ling Zhao, KangKang Yin, Yue Qi, Yizhou Yu, Xin Tong |
| 2010 | ICIP | Reconstructing diffusion kurtosis tensors from sparse noisy measurements. | Yugang Liu, Siming Wei, Quan Jiang, Yizhou Yu |
| 2010 | ICIP | Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation. | Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou Yu |
| 2010 | ICIP | Automatic detection of malignant prostatic gland units in cross-sectional microscopic images. | Tian Xia, Yizhou Yu, Jing Hua |
| 2008 | ICIP | Wavelet-based hybrid multilinear models for multidimensional image approximation. | Qing Wu, Chun Chen, Yizhou Yu |
| 2007 | ICIP | Hierarchical Tensor Approximation of Multidimensional Images. | Qing Wu, Tian Xia, Yizhou Yu |
| 2007 | PG | Transplanting and Editing Animations on Skinned Meshes. | Yuntao Jia, Wei-Wen Feng, Yizhou Yu |
| 2007 | PG | Laplacian Guided Editing, Synthesis, and Simulation. | Yizhou Yu |
| 2005 | SCA | Particle-based simulation of granular materials. | Nathan Bell, Yizhou Yu, Peter J. Mucha |
| 2005 | SCA | Taming liquids for rapidly changing targets. | Lin Shi, Yizhou Yu |
| 2005 | WSCG | Simulation-Based Cartoon Hair Animation. | Eiji Sugisaki, Yizhou Yu, Ken Anjyo, Shigeo Morishima |
| 2004 | ECCV | Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features. | Wei Hong, Yi Ma, Yizhou Yu |
| 2004 | SIGGRAPH | Cartoon hair animation based on physical simulation. | Eiji Sugisaki, Yizhou Yu, Ken Anjyo, Shigeo Morishima |
| 2003 | DICTA | Motion Field Estimation for Temporal Textures. | David Edwards, Johnny T. Chang, Lin Shi, Yizhou Yu |
| 2003 | DICTA | Two-Level Image Segmentation Based on Region and Edge Integration. | Qing Wu, Yizhou Yu |
| 2002 | ECCV | Shadow Graphs and Surface Reconstruction. | Yizhou Yu, Johnny T. Chang |
| 2002 | PG | Pattern-Based Texture Metamorphosis. | Ziqiang Liu, Ce Liu, Heung-Yeung Shum, Yizhou Yu |
| 2002 | SCA | A practical model for hair mutual interactions. | Johnny T. Chang, Jingyi Jin, Yizhou Yu |
| 2001 | PG | Modeling Realistic Virtual Hairstyles. | Yizhou Yu |
| 2001 | SIGGRAPH | Synthesizing bidirectional texture functions for real-world surfaces. | Xinguo Liu, Yizhou Yu, Heung-Yeung Shum |
| 1999 | SIGGRAPH | Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs. | Yizhou Yu, Paul E. Debevec, Jitendra Malik, Tim Hawkins |
| 1998 | SIGGRAPH | Recovering Photometric Properties of Architectural Scenes from Photographs. | Yizhou Yu, Jitendra Malik |