Multiresolution B-spline Radiosity. - Yizhou Yu; Qunsheng Peng 001 (Comput. Graph. Forum, 1995)

A Rendering Equation for Specular Transfers and Its Integration into Global Illumination. - Yizhou Yu; Hong Wu (Comput. Graph. Forum, 1997)

Parallel Progressive Radiosity with Adaptive Meshing. - Yizhou Yu; Oscar H. Ibarra; Tao Yang 009 (J. Parallel Distributed Comput., 1997)

Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping. - Paul E. Debevec; Yizhou Yu; George Borshukov (Rendering Techniques, 1998)

Recovering Photometric Properties of Architectural Scenes from Photographs. - Yizhou Yu; Jitendra Malik (SIGGRAPH, 1998)

Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs. - Yizhou Yu; Paul E. Debevec; Jitendra Malik; Tim Hawkins (SIGGRAPH, 1999)

Efficient visibility processing for projective texture mapping. - Yizhou Yu (Comput. Graph., 1999)

Modeling Realistic Virtual Hairstyles. - Yizhou Yu (PG, 2001)

Synthesizing bidirectional texture functions for real-world surfaces. - Xinguo Liu; Yizhou Yu; Heung-Yeung Shum (SIGGRAPH, 2001)

Extracting Objects from Range and Radiance Images. - Yizhou Yu; Andras Ferencz; Jitendra Malik (IEEE Trans. Vis. Comput. Graph., 2001)

Shadow Graphs and Surface Reconstruction. - Yizhou Yu; Johnny T. Chang (ECCV (2), 2002)

Pattern-Based Texture Metamorphosis. - Ziqiang Liu; Ce Liu 001; Heung-Yeung Shum; Yizhou Yu (PG, 2002)

A practical model for hair mutual interactions. - Johnny T. Chang; Jingyi Jin; Yizhou Yu (Symposium on Computer Animation, 2002)

Motion Field Estimation for Temporal Textures. - David Edwards; Johnny T. Chang; Lin Shi; Yizhou Yu (DICTA, 2003)

Two-Level Image Segmentation Based on Region and Edge Integration. - Qing Wu 006; Yizhou Yu (DICTA, 2003)

Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features. - Wei Hong 003; Yi Ma 001; Yizhou Yu (ECCV (3), 2004)

Cartoon hair animation based on physical simulation. - Eiji Sugisaki; Yizhou Yu; Ken Anjyo; Shigeo Morishima (SIGGRAPH Posters, 2004)

Inviscid and incompressible fluid simulation on triangle meshes. - Lin Shi; Yizhou Yu (Comput. Animat. Virtual Worlds, 2004)

Video metamorphosis using dense flow fields. - Yizhou Yu; Qing Wu 006 (Comput. Animat. Virtual Worlds, 2004)

Feature matching and deformation for texture synthesis. - Qing Wu 006; Yizhou Yu (ACM Trans. Graph., 2004)

Mesh editing with poisson-based gradient field manipulation. - Yizhou Yu; Kun Zhou 001; Dong Xu 001; Xiaohan Shi; Hujun Bao; Baining Guo; Heung-Yeung Shum (ACM Trans. Graph., 2004)

Particle-based simulation of granular materials. - Nathan Bell; Yizhou Yu; Peter J. Mucha (Symposium on Computer Animation, 2005)

Taming liquids for rapidly changing targets. - Lin Shi; Yizhou Yu (Symposium on Computer Animation, 2005)

Simulation-Based Cartoon Hair Animation. - Eiji Sugisaki; Yizhou Yu; Ken Anjyo; Shigeo Morishima (WSCG (Full Papers), 2005)

Shadow Graphs and 3D Texture Reconstruction. - Yizhou Yu; Johnny T. Chang (Int. J. Comput. Vis., 2005)

Controllable smoke animation with guiding objects. - Lin Shi; Yizhou Yu (ACM Trans. Graph., 2005)

Out-of-core tensor approximation of multi-dimensional matrices of visual data. - Hongcheng Wang; Qing Wu 006; Lin Shi; Yizhou Yu; Narendra Ahuja (ACM Trans. Graph., 2005)

Controllable motion synthesis in a gaseous medium. - Lin Shi; Yizhou Yu; Christopher Wojtan; Stephen Chenney (Vis. Comput., 2005)

Photogrammetric reconstruction of free-form objects with curvilinear structures. - Hong Wu; Yizhou Yu (Vis. Comput., 2005)

A fast multigrid algorithm for mesh deformation. - Lin Shi; Yizhou Yu; Nathan Bell; Wei-Wen Feng (ACM Trans. Graph., 2006)

Hierarchical Tensor Approximation of Multidimensional Images. - Qing Wu 006; Tian Xia; Yizhou Yu (ICIP (4), 2007)

Transplanting and Editing Animations on Skinned Meshes. - Yuntao Jia; Wei-Wen Feng; Yizhou Yu (PG, 2007)

Laplacian Guided Editing, Synthesis, and Simulation. - Yizhou Yu (PG, 2007)

Large-Scale Data Management for PRT-Based Real-Time Rendering of Dynamically Skinned Models. - Wei-Wen Feng; Liang Peng; Yuntao Jia; Yizhou Yu (Rendering Techniques, 2007)

Gradient domain editing of deforming mesh sequences. - Weiwei Xu; Kun Zhou 001; Yizhou Yu; Qifeng Tan; Qunsheng Peng 001; Baining Guo (ACM Trans. Graph., 2007)

Wavelet-based hybrid multilinear models for multidimensional image approximation. - Qing Wu 006; Chun Chen 001; Yizhou Yu (ICIP, 2008)

Shape-constrained flock animation. - Jiayi Xu 002; Xiaogang Jin 001; Yizhou Yu; Tian Shen; Mingdong Zhou (Comput. Animat. Virtual Worlds, 2008)

Real-time data driven deformation using kernel canonical correlation analysis. - Wei-Wen Feng; Byung-Uck Kim; Yizhou Yu (ACM Trans. Graph., 2008)

Hierarchical Tensor Approximation of Multi-Dimensional Visual Data. - Qing Wu 006; Tian Xia; Chun Chen 001; Hsueh-Yi Sean Lin; Hongcheng Wang; Yizhou Yu (IEEE Trans. Vis. Comput. Graph., 2008)

Hierarchical and wavelet-based multilinear models for multi-dimensional visual data approximation. - Yizhou Yu (CAD/Graphics, 2009)

Example-based hair geometry synthesis. - Lvdi Wang; Yizhou Yu; Kun Zhou 001; Baining Guo (ACM Trans. Graph., 2009)

Patch-based image vectorization with automatic curvilinear feature alignment. - Tian Xia; Binbin Liao; Yizhou Yu (ACM Trans. Graph., 2009)

Reconstructing diffusion kurtosis tensors from sparse noisy measurements. - Yugang Liu; Siming Wei; Quan Jiang; Yizhou Yu (ICIP, 2010)

Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation. - Siming Wei; Jing Hua 001; Jiajun Bu; Chun Chen 001; Yizhou Yu (ICIP, 2010)

Automatic detection of malignant prostatic gland units in cross-sectional microscopic images. - Tian Xia; Yizhou Yu; Jing Hua 001 (ICIP, 2010)

Anomaly detection in GPS data based on visual analytics. - Zicheng Liao; Yizhou Yu; Baoquan Chen (IEEE VAST, 2010)

Multiscale Visualization of Relational Databases using Layered Zoom Trees and Partial Data Cubes. - Baoyuan Wang; Gang Chen; Jiajun Bu; Yizhou Yu (IMAGAPP/IVAPP, 2010)

ZoomTree: Unrestricted Zoom Paths in Multiscale Visual Analysis of Relational Databases. - Baoyuan Wang; Gang Chen; Jiajun Bu; Yizhou Yu (VISIGRAPP (Selected Papers), 2010)

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes. - Wei-Wen Feng; Byung-Uck Kim; Yizhou Yu; Liang Peng; John Hart (ACM Trans. Graph., 2010)

A deformation transformer for real-time cloth animation. - Wei-Wen Feng; Yizhou Yu; Byung-Uck Kim (ACM Trans. Graph., 2010)

Data-driven image color theme enhancement. - Baoyuan Wang; Yizhou Yu; Tien-Tsin Wong; Chun Chen 001; Ying-Qing Xu (ACM Trans. Graph., 2010)

Vector solid textures. - Lvdi Wang; Kun Zhou 001; Yizhou Yu; Baining Guo (ACM Trans. Graph., 2010)

Robust Feature-Preserving Mesh Denoising Based on Consistent Subneighborhoods. - Hanqi Fan; Yizhou Yu; Qunsheng Peng 001 (IEEE Trans. Vis. Comput. Graph., 2010)

Real-time data driven deformation with affine bones. - Byung-Uck Kim; Wei-Wei Feng; Yizhou Yu (Vis. Comput., 2010)

Erratum to: Real-time data driven deformation with affine bones. - Byung-Uck Kim; Wei-Wen Feng; Yizhou Yu (Vis. Comput., 2010)

Lazy texture selection based on active learning. - Tian Xia; Qing Wu 006; Chun Chen 001; Yizhou Yu (Vis. Comput., 2010)

Controllable Hand Deformation from Sparse Examples with Rich Details. - Hao-Da Huang; Ling Zhao 006; KangKang Yin; Yue Qi; Yizhou Yu; Xin Tong 001 (Symposium on Computer Animation, 2011)

Interactive 2D and volume image segmentation using level sets of probabilities. - Yugang Liu; Yizhou Yu (SIGGRAPH Asia Sketches, 2011)

New Technique: Sketch-based rotation editing. - Yue Xie; Wei-wei Xu; Yizhou Yu; Yanlin Weng (J. Zhejiang Univ. Sci. C, 2011)

Diffusion Kurtosis Imaging Based on Adaptive Spherical Integral. - Yugang Liu; Leiting Chen; Yizhou Yu (IEEE Signal Process. Lett., 2011)

Example-based image color and tone style enhancement. - Baoyuan Wang; Yizhou Yu; Ying-Qing Xu (ACM Trans. Graph., 2011)

Multiscale vector volumes. - Lvdi Wang; Yizhou Yu; Kun Zhou 001; Baining Guo (ACM Trans. Graph., 2011)

A Robust Algorithm for Denoising Meshes with High-Resolution Details. - Hanqi Fan; Qunsheng Peng 001; Yizhou Yu (CVM, 2012)

Learning image-specific parameters for interactive segmentation. - Zhanghui Kuang; Dirk Schnieders; Hao Zhou 010; Kwan-Yee Kenneth Wong; Yizhou Yu; Bo Peng (CVPR, 2012)

Subspace segmentation with a Minimal Squared Frobenius Norm Representation. - Siming Wei; Yizhou Yu (ICPR, 2012)

Parallel H-Tree Based Data Cubing on Graphics Processors. - Baoyuan Wang; Yizhou Yu (Int. J. Softw. Informatics, 2012)

Single-view hair modeling for portrait manipulation. - Menglei Chai; Lvdi Wang; Yanlin Weng; Yizhou Yu; Baining Guo; Kun Zhou 001 (ACM Trans. Graph., 2012)

Object-space multiphase implicit functions. - Zhan Yuan; Yizhou Yu; Wenping Wang (ACM Trans. Graph., 2012)

Detail-Preserving Controllable Deformation from Sparse Examples. - Hao-Da Huang; KangKang Yin; Ling Zhao 006; Yue Qi; Yizhou Yu; Xin Tong 001 (IEEE Trans. Vis. Comput. Graph., 2012)

A Subdivision-Based Representation for Vector Image Editing. - Zicheng Liao; Hugues Hoppe; David A. Forsyth; Yizhou Yu (IEEE Trans. Vis. Comput. Graph., 2012)

Interactive Image Segmentation Based on Level Sets of Probabilities. - Yugang Liu; Yizhou Yu (IEEE Trans. Vis. Comput. Graph., 2012)

SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors. - Ruobing Wu; Yizhou Yu; Wenping Wang (CVPR, 2013)

Sparse similarity matrix learning for visual object retrieval. - Zhicheng Yan 001; Yizhou Yu (IJCNN, 2013)

Fast nonrigid 3D retrieval using modal space transform. - Jianbo Ye; Zhicheng Yan 001; Yizhou Yu (ICMR, 2013)

Example-based art pattern synthesis using level sets. - Ruobing Wu; Wenping Wang; Yizhou Yu (SIGGRAPH ASIA Technical Briefs, 2013)

Linear Subspace Learning based on a Learned Discriminative Dictionary for Sparse Coding. - Shibo Gao; Yizhou Yu; Yongmei Cheng (VISAPP (1), 2013)

Medical Volume Segmentation based on Level Sets of Probabilities. - Yugang Liu; Yizhou Yu (VISAPP (1), 2013)

A robust high-resolution details preserving denoising algorithm for meshes. - Hanqi Fan; Qunsheng Peng 001; Yizhou Yu (Sci. China Inf. Sci., 2013)

Medial Meshes for Volume Approximation. - Feng Sun 006; Yi-King Choi; Yizhou Yu; Wenping Wang 001 (CoRR, 2013)

A compact random-access representation for urban modeling and rendering. - Zhengzheng Kuang; Bin Chan; Yizhou Yu; Wenping Wang (ACM Trans. Graph., 2013)

Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity. - Yuwang Wang; Baoyuan Wang; Yizhou Yu; Qionghai Dai; Zhuowen Tu (ACCV (5), 2014)

Automatic Photo Adjustment Using Deep Learning. - Zhicheng Yan 001; Hao Zhang 025; Baoyuan Wang; Sylvain Paris; Yizhou Yu (CoRR, 2014)

Speaker-Following Video Subtitles. - Yongtao Hu 001; Jan Kautz; Yizhou Yu; Wenping Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2014)

Optimized Synthesis of Art Patterns and Layered Textures. - Ruobing Wu; Wenping Wang; Yizhou Yu (IEEE Trans. Vis. Comput. Graph., 2014)

Visual saliency based on multiscale deep features. - Guanbin Li; Yizhou Yu (CVPR, 2015)

Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification. - Ruobing Wu; Baoyuan Wang; Wenping Wang; Yizhou Yu (ICCV, 2015)

HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition. - Zhicheng Yan 001; Hao Zhang 025; Robinson Piramuthu; Vignesh Jagadeesh; Dennis DeCoste; Wei Di; Yizhou Yu (ICCV, 2015)

Hybrid superpixel segmentation. - Yuan Liu; Shangqi Lai; Tianyi Du; Yizhou Yu (IVCNZ, 2015)

Content-Aware Video2Comics With Manga-Style Layout. - Guangmei Jing; Yongtao Hu 001; Yanwen Guo 001; Yizhou Yu; Wenping Wang 001 (IEEE Trans. Multim., 2015)

An L1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition. - Sai Bi; Xiaoguang Han 001; Yizhou Yu (ACM Trans. Graph., 2015)

Magic decorator: automatic material suggestion for indoor digital scenes. - Kang Chen; Kun Xu 003; Yizhou Yu; Tian-Yi Wang; Shi-Min Hu 001 (ACM Trans. Graph., 2015)

audeosynth: music-driven video montage. - Zicheng Liao; Yizhou Yu; Bingchen Gong; Lechao Cheng (ACM Trans. Graph., 2015)

Deep Contrast Learning for Salient Object Detection. - Guanbin Li; Yizhou Yu (CVPR, 2016)

LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling. - Zhen Li 026; Yukang Gan; Xiaodan Liang; Yizhou Yu; Hui Cheng; Liang Lin (ECCV (2), 2016)

Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks. - Zhen Li 026; Yizhou Yu (IJCAI, 2016)

3D Human Model Reconstruction from Sparse Uncalibrated Views. - Xiaoguang Han 001; Kwan-Yee K. Wong; Yizhou Yu (IEEE Computer Graphics and Applications, 2016)

RGB-D Scene Labeling with Long Short-Term Memorized Fusion Model. - Zhen Li 026; Yukang Gan; Xiaodan Liang; Yizhou Yu; Hui Cheng; Liang Lin (CoRR, 2016)

Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation. - Zhicheng Yan 001; Hao Zhang 025; Yangqing Jia; Thomas M. Breuel; Yizhou Yu (CoRR, 2016)

Visual Saliency Detection Based on Multiscale Deep CNN Features. - Guanbin Li; Yizhou Yu (IEEE Trans. Image Process., 2016)

Fast and exact discrete geodesic computation based on triangle-oriented wavefront propagation. - Yipeng Qin; Xiaoguang Han 001; Hongchuan Yu; Yizhou Yu; Jian-Jun Zhang 001 (ACM Trans. Graph., 2016)

Automatic Photo Adjustment Using Deep Neural Networks. - Zhicheng Yan 001; Hao Zhang 025; Baoyuan Wang; Sylvain Paris; Yizhou Yu (ACM Trans. Graph., 2016)

Surface Mosaic Synthesis with Irregular Tiles. - Wenchao Hu; Zhonggui Chen; Hao Pan 001; Yizhou Yu; Eitan Grinspun; Wenping Wang 001 (IEEE Trans. Vis. Comput. Graph., 2016)

Medial Meshes - A Compact and Accurate Representation of Medial Axis Transform. - Feng Sun 006; Yi-King Choi; Yizhou Yu; Wenping Wang 001 (IEEE Trans. Vis. Comput. Graph., 2016)

A fast modal space transform for robust nonrigid shape retrieval. - Jianbo Ye; Yizhou Yu (Vis. Comput., 2016)

Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning. - Weifeng Ge; Yizhou Yu (CVPR, 2017)

Instance-Level Salient Object Segmentation. - Guanbin Li; Yuan Xie 004; Liang Lin; Yizhou Yu (CVPR, 2017)

High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference. - Xiaoguang Han 001; Zhen Li 026; Haibin Huang; Evangelos Kalogerakis; Yizhou Yu (ICCV, 2017)

Folding Membrane Proteins by Deep Transfer Learning. - Zhen Li 026; Sheng Wang 001; Yizhou Yu; Jinbo Xu (RECOMB, 2017)

ColorSketch: A Drawing Assistant for Generating Color Sketches from Photos. - Guanbin Li; Sai Bi; Jue Wang 001; Yingqing Xu; Yizhou Yu (IEEE Computer Graphics and Applications, 2017)

Predicting membrane protein contacts from non-membrane proteins by deep transfer learning. - Zhen Li 026; Sheng Wang 001; Yizhou Yu; Jinbo Xu (CoRR, 2017)

Context-Aware Semantic Inpainting. - Haofeng Li; Guanbin Li; Liang Lin; Yizhou Yu (CoRR, 2017)

A fast propagation scheme for approximate geodesic paths. - Xiaoguang Han 001; Hongchuan Yu; Yizhou Yu; Jian-Jun Zhang 001 (Graph. Model., 2017)

Editorial Special issue on the fifth Computational Visual Media conference (CVM 2017). - Niloy J. Mitra; Yizhou Yu; Ming-Ming Cheng (Graph. Model., 2017)

Preface. - Shi-Min Hu 001; Niloy J. Mitra; Yizhou Yu (J. Comput. Sci. Technol., 2017)

Exemplar-Based Image and Video Stylization Using Fully Convolutional Semantic Features. - Feida Zhu 002; Zhicheng Yan 001; Jiajun Bu; Yizhou Yu (IEEE Trans. Image Process., 2017)

DeepSketch2Face: a deep learning based sketching system for 3D face and caricature modeling. - Xiaoguang Han 001; Chang Gao 001; Yizhou Yu (ACM Trans. Graph., 2017)

Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection. - Wenguan Wang; Jianbing Shen; Yizhou Yu; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2017)

ReCoNet: Real-Time Coherent Video Style Transfer Network. - Chang Gao 001; Derun Gu; Fangjun Zhang; Yizhou Yu (ACCV (6), 2018)

Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning. - Lingbo Liu; Guanbin Li; Yuan Xie 004; Liang Lin; Yizhou Yu (BigMM, 2018)

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 (CVPR, 2018)

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. - Yongcheng Jing; Yang Liu 212; Yezhou Yang; Zunlei Feng; Yizhou Yu; Dacheng Tao; Mingli Song (ECCV (13), 2018)

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. - Yongcheng Jing; Yang Liu 212; Yezhou Yang; Zunlei Feng; Yizhou Yu; Mingli Song (CoRR, 2018)

Automatic Image Stylization Using Deep Fully Convolutional Networks. - Feida Zhu 002; Yizhou Yu (CoRR, 2018)

Automatic object extraction from images using deep neural networks and the level-set method. - Kan Wu 005; Yizhou Yu (IET Image Process., 2018)

WaveNano: a signal-level nanopore base-caller via simultaneous prediction of nucleotide labels and move labels through bi-directional WaveNets. - Sheng Wang 001; Zhen Li 026; Yizhou Yu; Xin Gao 001 (Quant. Biol., 2018)

Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks. - Yujing Sun 001; Yizhou Yu; Wenping Wang 001 (IEEE Trans. Image Process., 2018)

Contrast-Oriented Deep Neural Networks for Salient Object Detection. - Guanbin Li; Yizhou Yu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Image super-resolution via deterministic-stochastic synthesis and local statistical rectification. - Weifeng Ge; Bingchen Gong; Yizhou Yu (ACM Trans. Graph., 2018)

Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks. - Xiang He; Sibei Yang; Guanbin Li; Haofeng Li; Huiyou Chang; Yizhou Yu (AAAI, 2019)

Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up. - Weifeng Ge; Xiangru Lin; Yizhou Yu (CVPR, 2019)

Cross-Modal Relationship Inference for Grounding Referring Expressions. - Sibei Yang; Guanbin Li; Yizhou Yu (CVPR, 2019)

Multi-Source Weak Supervision for Saliency Detection. - Yu Zeng 001; Yun-Zhi Zhuge; Huchuan Lu; Lihe Zhang; Mingyang Qian; Yizhou Yu (CVPR, 2019)

Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms. - Fandong Zhang; Ling Luo; Xinwei Sun 001; Zhen Zhou; Xiuli Li; Yizhou Yu; Yizhou Wang 001 (CVPR, 2019)

Motion Guided Attention for Video Salient Object Detection. - Haofeng Li; Guanqi Chen; Guanbin Li; Yizhou Yu (ICCV, 2019)

Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision. - Jingyu Liu 004; Gangming Zhao; Yu Fei; Ming Zhang 004; Yizhou Wang 001; Yizhou Yu (ICCV, 2019)

Dynamic Graph Attention for Referring Expression Comprehension. - Sibei Yang; Guanbin Li; Yizhou Yu (ICCV, 2019)

Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images. - Huai Chen; Xiuying Wang 001; Yijie Huang; Xiyi Wu; Yizhou Yu; Lisheng Wang (MICCAI (6), 2019)

Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation. - Chaowei Fang; Guanbin Li; Chengwei Pan; Yiming Li; Yizhou Yu (MICCAI (2), 2019)

MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection. - Zihao Li; Shu Zhang 001; Junge Zhang; Kaiqi Huang; Yizhou Wang 001; Yizhou Yu (MICCAI (6), 2019)

From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network. - Yuhang Liu; Zhen Zhou; Shu Zhang 001; Ling Luo; Qianyi Zhang; Fandong Zhang; Xiuli Li; Yizhou Wang 001; Yizhou Yu (MICCAI (6), 2019)

Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs. - Wei Zhang; Guanbin Li; Fuyu Wang; Longjiang E; Yizhou Yu; Liang Lin; Huiying Liang (MICCAI (6), 2019)

Transductive Zero-Shot Learning with Visual Structure Constraint. - Ziyu Wan; Dongdong Chen 001; Yan Li 043; Xingguang Yan; Junge Zhang; Yizhou Yu; Jing Liao 001 (NeurIPS, 2019)

Automatic Color Sketch Generation Using Deep Style Transfer. - Wei Zhang 114; Guanbin Li; Haoyu Ma; Yizhou Yu (IEEE Computer Graphics and Applications, 2019)

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. - Huikai Wu; Junge Zhang; Kaiqi Huang; Kongming Liang; Yizhou Yu (CoRR, 2019)

Piecewise Flat Embedding for Image Segmentation. - Chaowei Fang; Zicheng Liao; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Context-Aware Semantic Inpainting. - Haofeng Li; Guanbin Li; Liang Lin; Hongchuan Yu; Yizhou Yu (IEEE Trans. Cybern., 2019)

A Benchmark for Edge-Preserving Image Smoothing. - Feida Zhu 002; Zhetong Liang; Xixi Jia; Lei Zhang 006; Yizhou Yu (IEEE Trans. Image Process., 2019)

Traffic Sign Detection Using a Multi-Scale Recurrent Attention Network. - Yan Tian; Judith Gelernter; Xun Wang 007; Jianyuan Li; Yizhou Yu (IEEE Trans. Intell. Transp. Syst., 2019)

Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation Learning. - Lingbo Liu; Guanbin Li; Yuan Xie 004; Yizhou Yu; Qing Wang 018; Liang Lin (IEEE Trans. Multim., 2019)

Harvesting Visual Objects from Internet Images via Deep-Learning-Based Objectness Assessment. - Kan Wu 005; Guanbin Li; Haofeng Li; Jian-Jun Zhang 001; Yizhou Yu (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection. - Yuhang Liu; Fandong Zhang; Qianyi Zhang; Siwen Wang; Yizhou Wang 001; Yizhou Yu (CVPR, 2020)

Graph-Structured Referring Expression Reasoning in the Wild. - Sibei Yang; Guanbin Li; Yizhou Yu (CVPR, 2020)

Propagating Over Phrase Relations for One-Stage Visual Grounding. - Sibei Yang; Guanbin Li; Yizhou Yu (ECCV (19), 2020)

An End-To-End Network For Detecting Multi-Domain Fractures On X-Ray Images. - Shukai Wu; Lifeng Yan; Xiaoqing Liu; Yizhou Yu; Sanyuan Zhang (ICIP, 2020)

Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation. - Shen Wang; Kongming Liang; Chengwei Pan; Chuyang Ye; Xiuli Li; Feng Liu 036; Yizhou Yu; Yizhou Wang 001 (ISBI, 2020)

Evaluating Multi-Class Segmentation Errors with Anatomical Priors. - Xiaoqian Wang 006; Qianyi Zhang; Zhen Zhou; Feng Liu 036; Yizhou Yu; Yizhou Wang 001; Wen Gao 001 (ISBI, 2020)

Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity. - Ping Gong 002; Zihao Yin; Yizhou Wang 001; Yizhou Yu (MICCAI (6), 2020)

Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. - Jiafa He; Chengwei Pan; Can Yang 002; Ming Zhang 004; Yang Wang; Xiaowei Zhou 001; Yizhou Yu (MICCAI (6), 2020)

Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction. - Qiuyue Liu; Zhen Zhou; Feng Liu 036; Xiangming Fang; Yizhou Yu; Yizhou Wang 001 (MICCAI (6), 2020)

Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. - Shen Wang; Kongming Liang; Yiming Li; Yizhou Yu; Yizhou Wang 001 (MICCAI (7), 2020)

BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification. - Chu-ran Wang; Fandong Zhang; Yizhou Yu; Yizhou Wang 001 (MICCAI (2), 2020)

Adaptive Context Selection for Polyp Segmentation. - Ruifei Zhang; Guanbin Li; Zhen Li 026; Shuguang Cui; Dahong Qian; Yizhou Yu (MICCAI (6), 2020)

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices. - Shu Zhang 001; Jincheng Xu; Yu-Chun Chen; Jiechao Ma; Zihao Li; Yizhou Wang 001; Yizhou Yu (MICCAI (4), 2020)

Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread. - Haofeng Li; Guanbin Li; Binbin Yang; Guanqi Chen; Liang Lin; Yizhou Yu (CoRR, 2020)

When Relation Networks meet GANs: Relation GANs with Triplet Loss. - Runmin Wu; Kunyao Zhang; Lijun Wang; Yue Wang 038; Huchuan Lu; Yizhou Yu (CoRR, 2020)

Kernel Quantization for Efficient Network Compression. - Zhongzhi Yu; Yemin Shi 001; Tiejun Huang 001; Yizhou Yu (CoRR, 2020)

ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities. - Jingyu Liu 004; Jie Lian; Yizhou Yu (CoRR, 2020)

Generator Versus Segmentor: Pseudo-healthy Synthesis. - Yunlong Zhang; Xin Lin; Liyan Sun; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (CoRR, 2020)

Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation. - Yicheng Wu 001; Chengwei Pan; Shuqi Wang; Ming Zhang 004; Yong Xia 001; Yizhou Yu (CoRR, 2020)

The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results. - Jie Lian; Jingyu Liu 004; Yizhou Yu; Mengyuan Ding; Yaoci Lu; Yi Lu; Jie Cai; Deshou Lin; Miao Zhang; Zhe Wang; Kai He; Yijie Yu (CoRR, 2020)

A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision. - Liyan Sun; Jianxiong Wu; Xinghao Ding; Yue Huang 001; Guisheng Wang; Yizhou Yu (CoRR, 2020)

Adaptive noise imitation for image denoising. - Huangxing Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Yizhou Yu; Xiaoqing Liu; John W. Paisley (CoRR, 2020)

Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding. - Liyan Sun; Chenxin Li; Xinghao Ding; Yue Huang 001; Guisheng Wang; Yizhou Yu (CoRR, 2020)

EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection. - Xiao Song 002; Xu Zhao 001; Liangji Fang; Hanwen Hu; Yizhou Yu (Int. J. Comput. Vis., 2020)

ROSA: Robust Salient Object Detection Against Adversarial Attacks. - Haofeng Li; Guanbin Li; Yizhou Yu (IEEE Trans. Cybern., 2020)

Self-Enhanced Convolutional Network for Facial Video Hallucination. - Chaowei Fang; Guanbin Li; Xiaoguang Han 001; Yizhou Yu (IEEE Trans. Image Process., 2020)

Residual Learning for Salient Object Detection. - Mengyang Feng; Huchuan Lu; Yizhou Yu (IEEE Trans. Image Process., 2020)

Online Alternate Generator Against Adversarial Attacks. - Haofeng Li; Yirui Zeng; Guanbin Li; Liang Lin; Yizhou Yu (IEEE Trans. Image Process., 2020)

Exploring Task Structure for Brain Tumor Segmentation From Multi-Modality MR Images. - Dingwen Zhang; Guohai Huang; Qiang Zhang 020; Jungong Han; Junwei Han 001; Yizhou Wang 001; Yizhou Yu (IEEE Trans. Image Process., 2020)

CaricatureShop: Personalized and Photorealistic Caricature Sketching. - Xiaoguang Han 001; Kangcheng Hou; Dong Du 002; Yuda Qiu; Shuguang Cui; Kun Zhou 001; Yizhou Yu (IEEE Trans. Vis. Comput. Graph., 2020)

Neural Style Transfer: A Review. - Yongcheng Jing; Yezhou Yang; Zunlei Feng; Jingwen Ye; Yizhou Yu; Mingli Song (IEEE Trans. Vis. Comput. Graph., 2020)

I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. - Chaoqi Chen; Zebiao Zheng; Yue Huang 001; Xinghao Ding; Yizhou Yu (CVPR, 2021)

Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. - Jichang Li; Guanbin Li; Yemin Shi 001; Yizhou Yu (CVPR, 2021)

Scene-Intuitive Agent for Remote Embodied Visual Grounding. - Xiangru Lin; Guanbin Li; Yizhou Yu (CVPR, 2021)

Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images. - Haolin Liu; Anran Lin; Xiaoguang Han 001; Lei Yang; Yizhou Yu; Shuguang Cui (CVPR, 2021)

Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization. - Haoyu Ma; Xiangru Lin; Zifeng Wu; Yizhou Yu (CVPR, 2021)

Bottom-Up Shift and Reasoning for Referring Image Segmentation. - Sibei Yang; Meng Xia; Guanbin Li; Hong-Yu Zhou; Yizhou Yu (CVPR, 2021)

Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. - Chaoqi Chen; Jiongcheng Li; Zebiao Zheng; Yue Huang 001; Xinghao Ding; Yizhou Yu (ICCV, 2021)

ME-PCN: Point Completion Conditioned on Mask Emptiness. - Bingchen Gong; Yinyu Nie; Yiqun Lin; Xiaoguang Han 001; Yizhou Yu (ICCV, 2021)

GraphFPN: Graph Feature Pyramid Network for Object Detection. - Gangming Zhao; Weifeng Ge; Yizhou Yu (ICCV, 2021)

Multi-scale Matching Networks for Semantic Correspondence. - Dongyang Zhao; Ziyang Song; Zhenghao Ji; Gangming Zhao; Weifeng Ge; Yizhou Yu (ICCV, 2021)

Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts. - Hong-Yu Zhou; Chixiang Lu; Sibei Yang; Xiaoguang Han 001; Yizhou Yu (ICCV, 2021)

ConvNets vs. Transformers: Whose Visual Representations are More Transferable? - Hong-Yu Zhou; Chixiang Lu; Sibei Yang; Yizhou Yu (ICCVW, 2021)

CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. - Zihao Li; Jiechao Ma; Shu Zhang 001; Yemin Shi 001; Junge Zhang; Kaiqi Huang; Yizhou Yu (ICIP, 2021)

Noise2Grad: Extract Image Noise to Denoise. - Huangxing Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (IJCAI, 2021)

Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation. - Hong-Yu Zhou; Hualuo Liu; Shilei Cao 001; Dong Wei 004; Chixiang Lu; Yizhou Yu; Kai Ma 002; Yefeng Zheng 001 (IPMI, 2021)

Multi-Task Learning For Thyroid Nodule Segmentation With Thyroid Region Prior. - Haifan Gong; Guanqi Chen; Ranran Wang; Xiang Xie; Mingzhi Mao; Yizhou Yu; Fei Chen 006; Guanbin Li (ISBI, 2021)

Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images. - Kongming Liang; Kai Han 010; Xiuli Li; Xiaoqing Cheng; Yiming Li; Yizhou Wang 001; Yizhou Yu (MICCAI (7), 2021)

Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. - Chenghao Liu; Xiangzhu Zeng; Kongming Liang; Yizhou Yu; Chuyang Ye (MICCAI (1), 2021)

CA-Net: Leveraging Contextual Features for Lung Cancer Prediction. - Mingzhou Liu 001; Fandong Zhang; Xinwei Sun 001; Yizhou Yu; Yizhou Wang 001 (MICCAI (5), 2021)

Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction. - Liyan Sun; Hongyu Huang; Xinghao Ding; Yue Huang 001; Xiaoqing Liu; Yizhou Yu (MICCAI (6), 2021)

DAE-GCN: Identifying Disease-Related Features for Disease Prediction. - Chu-ran Wang; Xinwei Sun 001; Fandong Zhang; Yizhou Yu; Yizhou Wang 001 (MICCAI (5), 2021)

Generator Versus Segmentor: Pseudo-healthy Synthesis. - Yunlong Zhang; Chenxin Li; Xin Lin; Liyan Sun; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (MICCAI (6), 2021)

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 (MICCAI (1), 2021)

Self-supervised Correction Learning for Semi-supervised Biomedical Image Segmentation. - Ruifei Zhang; Sishuo Liu; Yizhou Yu; Guanbin Li (MICCAI (2), 2021)

Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering. - Haifan Gong; Guanqi Chen; Sishuo Liu; Yizhou Yu; Guanbin Li (ICMR, 2021)

Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit. - Jianwei Xu; Ran Zhao; Yizhou Yu; Qingwei Zhang; Xianzhang Bian; Jun Wang 072; Zhizheng Ge; Dahong Qian (Biomed. Signal Process. Control., 2021)

Learning Part Generation and Assembly for Sketching Man-Made Objects. - Dong Du 002; Heming Zhu; Yinyu Nie; Xiaoguang Han 001; Shuguang Cui; Yizhou Yu; Ligang Liu 001 (Comput. Graph. Forum, 2021)

Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation. - Chenxin Li; Qi Qi 005; Xinghao Ding; Yue Huang 001; Dong Liang 001; Yizhou Yu (CoRR, 2021)

nnFormer: Interleaved Transformer for Volumetric Segmentation. - Hong-Yu Zhou; Jiansen Guo; Yinghao Zhang; Lequan Yu; Liansheng Wang; Yizhou Yu (CoRR, 2021)

Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition. - Mingzhou Liu 001; Xinwei Sun 001; Fandong Zhang; Yizhou Yu; Yizhou Wang 001 (CoRR, 2021)

Instance-level salient object segmentation. - Guanbin Li; Pengxiang Yan; Yuan Xie 004; Guisheng Wang; Liang Lin; Yizhou Yu (Comput. Vis. Image Underst., 2021)

A Nonintrusive Elderly Home Monitoring System. - Le Fang; Yu Wu 010; Chuan Wu 001; Yizhou Yu (IEEE Internet Things J., 2021)

Identification of pediatric respiratory diseases using a fine-grained diagnosis system. - Gang Yu; Zhongzhi Yu; Yemin Shi 001; Yingshuo Wang; Xiaoqing Liu; Zheming Li; Yonggen Zhao; Fenglei Sun; Yizhou Yu; Qiang Shu (J. Biomed. Informatics, 2021)

Compare and contrast: Detecting mammographic soft-tissue lesions with C2-Net. - Yuhang Liu; Changsheng Zhou; Fandong Zhang; Qianyi Zhang; Siwen Wang; Juan Zhou; Fugeng Sheng; Xiaoqi Wang; Wanhua Liu; Yizhou Wang 001; Yizhou Yu; Guangming Lu 001 (Medical Image Anal., 2021)

SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation. - Hong-Yu Zhou; Chengdi Wang; Haofeng Li; Gang Wang; Shu Zhang 001; Weimin Li 003; Yizhou Yu (Medical Image Anal., 2021)

AI-based analysis of CT images for rapid triage of COVID-19 patients. - Qinmei Xu 003; Xianghao Zhan; Zhen Zhou; Yiheng Li; Peiyi Xie; Shu Zhang 001; Xiuli Li; Yizhou Yu; Changsheng Zhou; Longjiang Zhang; Olivier Gevaert; Guangming Lu 001 (npj Digit. Medicine, 2021)

Relationship-Embedded Representation Learning for Grounding Referring Expressions. - Sibei Yang; Guanbin Li; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Cross-modality deep feature learning for brain tumor segmentation. - Dingwen Zhang; Guohai Huang; Qiang Zhang 020; Jungong Han; Junwei Han 001; Yizhou Yu (Pattern Recognit., 2021)

Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread. - Haofeng Li; Guanbin Li; Binbin Yang; Guanqi Chen; Liang Lin; Yizhou Yu (IEEE Trans. Cybern., 2021)

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. - Chu-ran Wang; Jing Li 091; Fandong Zhang; Xinwei Sun 001; Hao Dong 003; Yizhou Yu; Yizhou Wang 001 (IEEE Trans. Image Process., 2021)

Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images. - Qi Qi 005; Xin Lin; Chaoqi Chen; Weiping Xie; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (IEEE J. Biomed. Health Informatics, 2021)

A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation. - Jie Lian; Jingyu Liu 004; Shu Zhang 001; Kai Gao; Xiaoqing Liu; Dingwen Zhang; Yizhou Yu (IEEE Trans. Medical Imaging, 2021)

Contralaterally Enhanced Networks for Thoracic Disease Detection. - Gangming Zhao; Chaowei Fang; Guanbin Li; Licheng Jiao; Yizhou Yu (IEEE Trans. Medical Imaging, 2021)

A Causal Inference Look at Unsupervised Video Anomaly Detection. - Xiangru Lin; Yuyang Chen; Guanbin Li; Yizhou Yu (AAAI, 2022)

A Causal Debiasing Framework for Unsupervised Salient Object Detection. - Xiangru Lin; Ziyi Wu; Guanqi Chen; Guanbin Li; Yizhou Yu (AAAI, 2022)

BOAT: Bilateral Local Attention Vision Transformer. - Tan Yu; Gangming Zhao; Ping Li 001; Yizhou Yu (BMVC, 2022)

Compound Domain Generalization via Meta-Knowledge Encoding. - Chaoqi Chen; Jiongcheng Li; Xiaoguang Han 001; Xiaoqing Liu; Yizhou Yu (CVPR, 2022)

Scale-Equivalent Distillation for Semi-Supervised Object Detection. - Qiushan Guo; Yao Mu 001; Jianyu Chen; Tianqi Wang; Yizhou Yu; Ping Luo 002 (CVPR, 2022)

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 (CVPR, 2022)

Neighborhood Collective Estimation for Noisy Label Identification and Correction. - Jichang Li; Guanbin Li; Feng Liu 036; Yizhou Yu (ECCV (24), 2022)

One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement. - Zihao Yin; Ping Gong 002; Chunyu Wang 001; Yizhou Yu; Yizhou Wang 001 (ECCV (21), 2022)

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. - Ganlong Zhao; Guanbin Li; Yipeng Qin; Feng Liu 036; Yizhou Yu (ECCV (25), 2022)

Causal associations between neuroinflammation and Alzheimer's disease risk. - Kehan Lin; Yizhou Yu (ICBBS, 2022)

Disentangling Disease-related Representation from Obscure for Disease Prediction. - Chu-ran Wang; Fei Gao; Fandong Zhang; Fangwei Zhong; Yizhou Yu; Yizhou Wang 001 (ICML, 2022)

UNet-2022: Exploring Dynamics in Non-isomorphic Architecture. - Jiansen Guo; Hong-Yu Zhou; Liansheng Wang; Yizhou Yu (MICAD, 2022)

Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. - Chengwei Pan; Gangming Zhao; Junjie Fang; Baolian Qi; Jiaheng Liu; Chaowei Fang; Dingwen Zhang; Jinpeng Li 002; Yizhou Yu (MICCAI (1), 2022)

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. - Chaoqi Chen; Luyao Tang; Feng Liu 036; Gangming Zhao; Yue Huang 001; Yizhou Yu (NeurIPS, 2022)

Domain generalization on medical imaging classification using episodic training with task augmentation. - Chenxin Li; Xin Lin; Yijin Mao; Wei Lin 021; Qi Qi 005; Xinghao Ding; Yue Huang 001; Dong Liang 001; Yizhou Yu (Comput. Biol. Medicine, 2022)

Few-shot medical image segmentation using a global correlation network with discriminative embedding. - Liyan Sun; Chenxin Li; Xinghao Ding; Yue Huang 001; Zhong Chen 005; Guisheng Wang; Yizhou Yu; John W. Paisley (Comput. Biol. Medicine, 2022)

Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection. - Jianwei Xu; Qingwei Zhang; Yizhou Yu; Ran Zhao; Xianzhang Bian; Xiaoqing Liu; Jun Wang 072; Zhizheng Ge; Dahong Qian (Comput. Methods Programs Biomed., 2022)

PointMatch: A Consistency Training Framework for Weakly SupervisedSemantic Segmentation of 3D Point Clouds. - Yushuang Wu; Zizheng Yan; Shengcai Cai; Guanbin Li; Yizhou Yu; Xiaoguang Han 001; Shuguang Cui (CoRR, 2022)

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification. - Chu-ran Wang; Jing Li 091; Xinwei Sun 001; Fandong Zhang; Yizhou Yu; Yizhou Wang 001 (CoRR, 2022)

RankDNN: Learning to Rank for Few-shot Learning. - Qianyu Guo; Hongtong Gong; Xujun Wei; Yanwei Fu 001; Weifeng Ge; Yizhou Yu; Wenqiang Zhang (CoRR, 2022)

MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images. - Xiaoyu Chen; Hong-Yu Zhou; Feng Liu 036; Jiansen Guo; Liansheng Wang; Yizhou Yu (Medical Image Anal., 2022)

M3Net: A multi-scale multi-view framework for multi-phase pancreas segmentation based on cross-phase non-local attention. - Taiping Qu; Xiheng Wang; Chaowei Fang; Li Mao; Juan Li; Ping Li; Jinrong Qu; Xiuli Li; Huadan Xue; Yizhou Yu; Zhengyu Jin (Medical Image Anal., 2022)

Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports. - Hong-Yu Zhou; Xiaoyu Chen; Yinghao Zhang; Ruibang Luo; Liansheng Wang; Yizhou Yu (Nat. Mach. Intell., 2022)

Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation. - Chenxin Li; Wenao Ma; Liyan Sun; Xinghao Ding; Yue Huang 001; Guisheng Wang; Yizhou Yu (Neural Comput. Appl., 2022)

A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans. - Liyan Sun; Jianxiong Wu; Xinghao Ding; Yue Huang 001; Zhong Chen 005; Guisheng Wang; Yizhou Yu (Neural Comput. Appl., 2022)

Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases. - Chengdi Wang; Jiechao Ma; Shu Zhang 001; Jun Shao; Yanyan Wang; Hong-Yu Zhou; Lujia Song; Jie Zheng; Yizhou Yu; Weimin Li 003 (npj Digit. Medicine, 2022)

Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection. - Yuhang Liu; Fandong Zhang; Chaoqi Chen; Siwen Wang; Yizhou Wang 001; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. - Gangming Zhao; Quanlong Feng; Chaoqi Chen; Zhen Zhou; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation. - Ruikun Li 004; Yi-Jie Huang; Huai Chen; Xiaoqing Liu; Yizhou Yu; Dahong Qian; Lisheng Wang (IEEE J. Biomed. Health Informatics, 2022)

GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images. - Baolian Qi; Gangming Zhao; Xin Wei; Changde Du; Chengwei Pan; Yizhou Yu; Jinpeng Li 002 (IEEE J. Biomed. Health Informatics, 2022)

Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis. - Yunlong Zhang; Xin Lin; Yihong Zhuang; Liyan Sun; Yue Huang 001; Xinghao Ding; Guisheng Wang; Lin Yang 002; Yizhou Yu (IEEE Trans. Medical Imaging, 2022)

GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis. - Hong-Yu Zhou; Chixiang Lu; Liansheng Wang; Yizhou Yu (IEEE Trans. Medical Imaging, 2022)

Structure-aware Meta-fusion for Image Super-resolution. - Haoyu Ma; Bingchen Gong; Yizhou Yu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

SAniHead: Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network. - Dong Du 002; Xiaoguang Han 001; Hongbo Fu 001; Feiyang Wu; Yizhou Yu; Shuguang Cui; Ligang Liu 001 (IEEE Trans. Vis. Comput. Graph., 2022)

RankDNN: Learning to Rank for Few-Shot Learning. - Qianyu Guo; Haotong Gong; Xujun Wei; Yanwei Fu 001; Yizhou Yu; Wenqiang Zhang; Weifeng Ge (AAAI, 2023)

Geometry-Aware Network for Domain Adaptive Semantic Segmentation. - Yinghong Liao; Wending Zhou; Xu Yan 005; Zhen Li 026; Yizhou Yu; Shuguang Cui (AAAI, 2023)

START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer. - Jingpeng Sun; Rongxiao Wang; Gangming Zhao; Chen Chen 036; Yixiao Qu; Jinpeng Li; Xiyuan Hu; Yizhou Yu (BIBM, 2023)

Leveraging Frequency Domain Learning in 3D Vessel Segmentation. - Xinyuan Wang 009; Chengwei Pan; Hongming Dai; Gangming Zhao; Jinpeng Li; Xiao Zhang; Yizhou Yu (BIBM, 2023)

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 (CVPR, 2023)

Improved Distribution Matching for Dataset Condensation. - Ganlong Zhao; Guanbin Li; Yipeng Qin; Yizhou Yu (CVPR, 2023)

Activate and Reject: Towards Safe Domain Generalization under Category Shift. - Chaoqi Chen; Luyao Tang; Leitian Tao; Hong-Yu Zhou; Yue Huang 001; Xiaoguang Han 001; Yizhou Yu (ICCV, 2023)

EGC: Image Generation and Classification via a Diffusion Energy-Based Model. - Qiushan Guo; Chuofan Ma; Yi Jiang 004; Zehuan Yuan; Yizhou Yu; Ping Luo 002 (ICCV, 2023)

Learning Domain-Agnostic Representation for Disease Diagnosis. - Chu-ran Wang; Jing Li 091; Xinwei Sun 001; Fandong Zhang; Yizhou Yu; Yizhou Wang 001 (ICLR, 2023)

Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning. - Hong-Yu Zhou; Yunxiang Fu; Zhicheng Zhang; Cheng Bian; Yizhou Yu (ICLR, 2023)

Advancing Radiograph Representation Learning with Masked Record Modeling. - Hong-Yu Zhou; Chenyu Lian; Liansheng Wang; Yizhou Yu (ICLR, 2023)

Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography. - Lingfeng Li; Gangming Zhao; Yizhou Yu; Jinpeng Li 002 (ACM Multimedia, 2023)

CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation. - Chaoqi Chen; Luyao Tang; Yue Huang 001; Xiaoguang Han 001; Yizhou Yu (NeurIPS, 2023)

PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis. - Hong-Yu Zhou; Chixiang Lu; Chaoqi Chen; Sibei Yang; Yizhou Yu (CoRR, 2023)

Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. - Gangming Zhao; Kongming Liang; Chengwei Pan; Fandong Zhang; Xianpeng Wu; Xinyang Hu; Yizhou Yu (CoRR, 2023)

Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling. - Hong-Yu Zhou; Yunxiang Fu; Zhicheng Zhang; Cheng Bian; Yizhou Yu (CoRR, 2023)

Multi-Level Contrastive Learning for Dense Prediction Task. - Qiushan Guo; Yizhou Yu; Yi Jiang 004; Jiannan Wu; Zehuan Yuan; Ping Luo 002 (CoRR, 2023)

A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics. - Hong-Yu Zhou; Yizhou Yu; Chengdi Wang; Shu Zhang 001; Yuanxu Gao; Jia Pan; Jun Shao; Guangming Lu 001; Kang Zhang; Weimin Li 003 (CoRR, 2023)

B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation. - Hao Wang; Qiang Song; Ruofeng Yin; Rui Ma; Yizhou Yu; Yi Chang (CoRR, 2023)

TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition. - Meng Lou; Hongyu Zhou; Sibei Yang; Yizhou Yu (CoRR, 2023)

Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation. - Jichang Li; Guanbin Li; Yizhou Yu (IEEE Trans. Image Process., 2023)

nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer. - Hong-Yu Zhou; Jiansen Guo; Yinghao Zhang; Xiaoguang Han 001; Lequan Yu; Liansheng Wang; Yizhou Yu (IEEE Trans. Image Process., 2023)

A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images. - Xingxin Xu; Qikui Zhu; Hanning Ying; Jiongcheng Li; Xiujun Cai; Shuo Li 001; Xiaoqing Liu; Yizhou Yu (IEEE J. Biomed. Health Informatics, 2023)

Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. - Gangming Zhao; Kongming Liang; Chengwei Pan; Fandong Zhang; Xianpeng Wu; Xinyang Hu; Yizhou Yu (IEEE Trans. Medical Imaging, 2023)

Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. - Chaoqi Chen; Jiongcheng Li; Hong-Yu Zhou; Xiaoguang Han 001; Yue Huang 001; Xinghao Ding; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training. - Shu Zhang 001; Zihao Li; Hong-Yu Zhou; Jiechao Ma; Yizhou Yu (Neurocomputing, 2023)

Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation. - Taiping Qu; Xiuli Li; Xiheng Wang; Wenyi Deng; Li Mao; Ming He; Xiao Li; Yun Wang; Zaiyi Liu; Longjiang Zhang; Zhengyu Jin; Huadan Xue; et al. (Medical Image Anal., 2023)

CarveMix: A simple data augmentation method for brain lesion segmentation. - Xinru Zhang; Chenghao Liu; Ni Ou; Xiangzhu Zeng; Zhizheng Zhuo; Yunyun Duan; Xiaoliang Xiong; Yizhou Yu; Zhiwen Liu; Yaou Liu; Chuyang Ye (NeuroImage, 2023)

A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis. - Hong-Yu Zhou; Chixiang Lu; Chaoqi Chen; Sibei Yang; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors. - Ruikun Li 004; Chengyang An; Shuxin Wang; Guisheng Wang; Lifeng Zhao; Yizhou Yu; Lisheng Wang (Int. J. Comput. Assist. Radiol. Surg., 2023)

EMS: 3D Eyebrow Modeling from Single-View Images. - Chenghong Li; Leyang Jin; Yujian Zheng; Yizhou Yu; Xiaoguang Han 001 (ACM Trans. Graph., 2023)

FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. - Jichang Li; Guanbin Li; Hui Cheng; Zicheng Liao; Yizhou Yu (AAAI, 2024)

RegionGPT: Towards Region Understanding Vision Language Model. - Qiushan Guo; Shalini De Mello; Hongxu Yin; Wonmin Byeon; Ka Chun Cheung; Yizhou Yu; Ping Luo 002; Sifei Liu (CVPR, 2024)

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation. - Ganlong Zhao; Guanbin Li; Weikai Chen 001; Yizhou Yu (CVPR, 2024)

Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation. - Fei Gao; Siwen Wang; Fandong Zhang; Hong-Yu Zhou; Yizhou Wang 001; Churan Wang; Gang Yu; Yizhou Yu (MICCAI (11), 2024)

Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. - Jiarun Liu; Hao Yang 026; Hong-Yu Zhou; Yan Xi; Lequan Yu; Cheng Li 008; Yong Liang; Guangming Shi; Yizhou Yu; Shaoting Zhang 001; Hairong Zheng; Shanshan Wang 002 (MICCAI (9), 2024)

Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models. - Chenyu Lian; Hong-Yu Zhou; Yizhou Yu; Liansheng Wang (CoRR, 2024)

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining. - Jiarun Liu; Hao Yang 026; Hong-Yu Zhou; Yan Xi; Lequan Yu; Yizhou Yu; Yong Liang; Guangming Shi; Shaoting Zhang 001; Hairong Zheng; Shanshan Wang 002 (CoRR, 2024)

Progressive Conservative Adaptation for Evolving Target Domains. - Gangming Zhao; Chaoqi Chen; Wenhao He; Chengwei Pan; Chaowei Fang; Jinpeng Li 002; Xilin Chen 001; Yizhou Yu (CoRR, 2024)

SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging. - Meng Lou; Hanning Ying; Xiaoqing Liu; Hong-Yu Zhou; Yuqing Zhang; Yizhou Yu (CoRR, 2024)

DreamDA: Generative Data Augmentation with Diffusion Models. - Yunxiang Fu; Chaoqi Chen; Yu Qiao; Yizhou Yu (CoRR, 2024)

Uncertainty Estimation of Large Language Models in Medical Question Answering. - Jiaxin Wu; Yizhou Yu; Hong-Yu Zhou (CoRR, 2024)

LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba. - Yunxiang Fu; Chaoqi Chen; Yizhou Yu (CoRR, 2024)

ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features. - Xin Wei; Yaling Tao; Changde Du; Gangming Zhao; Yizhou Yu; Jinpeng Li 002 (CoRR, 2024)

Enhanced MRI Representation via Cross-series Masking. - Churan Wang; Fei Gao; Lijun Yan; Siwen Wang; Yizhou Yu; Yizhou Wang 001 (CoRR, 2024)

Real-time One-Step Diffusion-based Expressive Portrait Videos Generation. - Hanzhong Guo; Hongwei Yi; Daquan Zhou; Alexander William Bergman; Michael Lingelbach; Yizhou Yu (CoRR, 2024)

Identification of mycoplasma pneumonia in children based on fusion of multi-modal clinical free-text description and structured test data. - Jingna Xie; Yingshuo Wang; Qiuyang Sheng; Xiaoqing Liu; Jing Li 091; Fenglei Sun; Yuqi Wang; Shuxian Li; Yiming Li; Yizhou Yu; Gang Yu (Health Informatics J., 2024)

Inter-domain mixup for semi-supervised domain adaptation. - Jichang Li; Guanbin Li; Yizhou Yu (Pattern Recognit., 2024)

Correction to "A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation". - Jie Lian; Jingyu Liu 004; Shu Zhang 001; Kai Gao; Xiaoqing Liu; Dingwen Zhang; Yizhou Yu (IEEE Trans. Medical Imaging, 2024)

I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation. - Haoyu Ma; Xiangru Lin; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions. - Penghua Zhai; Huaiwei Cong; Enwei Zhu; Gangming Zhao; Yizhou Yu; Jinpeng Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

SketchMetaFace: A Learning-Based Sketching Interface for High-Fidelity 3D Character Face Modeling. - Zhongjin Luo; Dong Du 002; Heming Zhu; Yizhou Yu; Hongbo Fu 001; Xiaoguang Han 001 (IEEE Trans. Vis. Comput. Graph., 2024)

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning. - Ganlong Zhao; Guanbin Li; Yipeng Qin; Jinjin Zhang; Zhenhua Chai; Xiaolin Wei; Liang Lin; Yizhou Yu (Int. J. Comput. Vis., 2024)

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. - Chaoqi Chen; Yushuang Wu; Qiyuan Dai; Hong-Yu Zhou; Mutian Xu; Sibei Yang; Xiaoguang Han 001; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks. - Meng Lou; Yunxiang Fu; Yizhou Yu (AAAI, 2025)

Autoregressive Sequence Modeling for 3D Medical Image Representation. - Siwen Wang; Churan Wang; Fei Gao; Lixian Su; Fandong Zhang; Yizhou Wang 001; Yizhou Yu (AAAI, 2025)

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation. - Yunxiang Fu; Meng Lou; Yizhou Yu (CVPR, 2025)

OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels. - Meng Lou; Yizhou Yu (CVPR, 2025)

SDR-Former: A Siamese Dual-Resolution Transformer for liver lesion classification using 3D multi-phase imaging. - Meng Lou; Hanning Ying; Xiaoqing Liu; Hong-Yu Zhou; Yuqin Zhang; Yizhou Yu (Neural Networks, 2025)

SuperNeRF-GAN: A Universal 3D-Consistent Super-Resolution Framework for Efficient and Enhanced 3D-Aware Image Synthesis. - Peng Zheng; Linzhi Huang; Yizhou Yu; Yi Chang; Yilin Wang; Rui Ma (CoRR, 2025)

Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction. - Ganlong Zhao; Guanbin Li; Jia Pan 001; Yizhou Yu (CoRR, 2025)

VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning. - Zhangyang Qi; Zhixiong Zhang; Yizhou Yu; Jiaqi Wang 003; Hengshuang Zhao (CoRR, 2025)

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities. - Yuanchen Bei; Weizhi Zhang 001; Siwen Wang; Weizhi Chen; Sheng Zhou 004; Hao Chen 062; Yong Li 004; Jiajun Bu; Shirui Pan; Yizhou Yu; Irwin King; Fakhri Karray; et al. (CoRR, 2025)

TransXNet: Learning Both Global and Local Dynamics With a Dual Dynamic Token Mixer for Visual Recognition. - Meng Lou; Shu Zhang 001; Hong-Yu Zhou; Sibei Yang; Chuan Wu 001; Yizhou Yu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis. - Peng Zheng; Junke Wang; Yi Chang; Yizhou Yu; Rui Ma 011; Zuxuan Wu (CoRR, 2025)

A2Mamba: Attention-augmented State Space Models for Visual Recognition. - Meng Lou; Yunxiang Fu; Yizhou Yu (CoRR, 2025)