Form Frame Line Detection with Directional Single-Connected Chain. - Yefeng Zheng 001; Changsong Liu; Xiaoqing Ding; Shiyan Pan (ICDAR, 2001)

The Segmentation and Identification of Handwriting in Noisy Document Images. - Yefeng Zheng 001; Huiping Li; David S. Doermann (Document Analysis Systems, 2002)

Single-character type identification. - Yefeng Zheng 001; Changsong Liu; Xiaoqing Ding (Document Recognition and Retrieval, 2002)

Background Line Detection with A Stochastic Model. - Yefeng Zheng 001; Huiping Li; David S. Doermann (CVPR Workshops, 2003)

A Model-based Line Detection Algorithm in Documents. - Yefeng Zheng 001; Huiping Li; David S. Doermann (ICDAR, 2003)

Text Identification in Noisy Document Images Using Markov Random Field. - Yefeng Zheng 001; Huiping Li; David S. Doermann (ICDAR, 2003)

Classification-based spatial error concealment for images. - Meng Chen; Min Wu 001; Yefeng Zheng 001 (ICIP (2), 2003)

Machine Printed Text and Handwriting Identification in Noisy Document Images. - Yefeng Zheng 001; Huiping Li; David S. Doermann (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Robust Point Matching for Two-Dimensional Nonrigid Shapes. - Yefeng Zheng 001; David S. Doermann (ICCV, 2005)

Handwriting Matching and Its Application to Handwriting Synthesis. - Yefeng Zheng 001; David S. Doermann (ICDAR, 2005)

A Parallel-Line Detection Algorithm Based on HMM Decoding. - Yefeng Zheng 001; Huiping Li; David S. Doermann (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Handwriting identification, matching, and indexing in noisy document images. - Yefeng Zheng 001 (2005)

Example Based Non-rigid Shape Detection. - Yefeng Zheng 001; Xiang Sean Zhou; Bogdan Georgescu; Shaohua Kevin Zhou; Dorin Comaniciu (ECCV (4), 2006)

Detecting Text Lines in Handwritten Documents. - Yi Li 025; Yefeng Zheng 001; David S. Doermann (ICPR (2), 2006)

Classification-Based Spatial Error Concealment for Visual Communications. - Meng Chen; Yefeng Zheng 001; Min Wu 001 (EURASIP J. Adv. Signal Process., 2006)

Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures. - Yefeng Zheng 001; David S. Doermann (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Multi-scale Structural Saliency for Signature Detection. - Guangyu Zhu 004; Yefeng Zheng 001; David S. Doermann; Stefan Jaeger 001 (CVPR, 2007)

Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features. - Yefeng Zheng 001; Adrian Barbu; Bogdan Georgescu; Michael Scheuering; Dorin Comaniciu (ICCV, 2007)

Hierarchical, learning-based automatic liver segmentation. - Haibin Ling; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Michael Sühling; Dorin Comaniciu (CVPR, 2008)

3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers. - Lin Yang 002; Bogdan Georgescu; Yefeng Zheng 001; Peter Meer; Dorin Comaniciu (CVPR, 2008)

Signature-Based Document Image Retrieval. - Guangyu Zhu 004; Yefeng Zheng 001; David S. Doermann (ECCV (3), 2008)

AutoMPR: Automatic detection of standard planes in 3D echocardiography. - Xiaoguang Lu; Bogdan Georgescu; Yefeng Zheng 001; Joanne Otsuki; Dorin Comaniciu (ISBI, 2008)

A fast and accurate tracking algorithm of left ventricles in 3D echocardiography. - Lin Yang 002; Bogdan Georgescu; Yefeng Zheng 001; David J. Foran; Dorin Comaniciu (ISBI, 2008)

Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes. - Yefeng Zheng 001; Bogdan Georgescu; Adrian Barbu; Michael Scheuering; Dorin Comaniciu (Image Processing, 2008)

Script-Independent Text Line Segmentation in Freestyle Handwritten Documents. - Yi Li 025; Yefeng Zheng 001; David S. Doermann; Stefan Jaeger 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features. - Yefeng Zheng 001; Adrian Barbu; Bogdan Georgescu; Michael Scheuering; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2008)

Constrained marginal space learning for efficient 3D anatomical structure detection in medical images. - Yefeng Zheng 001; Bogdan Georgescu; Haibin Ling; Shaohua Kevin Zhou; Michael Scheuering; Dorin Comaniciu (CVPR, 2009)

Robust object detection using marginal space learning and ranking-based multi-detector aggregation: Application to left ventricle detection in 2D MRI images. - Yefeng Zheng 001; Xiaoguang Lu; Bogdan Georgescu; Arne Littmann; Edgar Mueller; Dorin Comaniciu (CVPR, 2009)

Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images. - Yefeng Zheng 001; Bogdan Georgescu; Dorin Comaniciu (IPMI, 2009)

Fast and Robust 3-D MRI Brain Structure Segmentation. - Michael Wels; Yefeng Zheng 001; Gustavo Carneiro 001; Martin Huber 001; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2009)

Left ventricle endocardium segmentation for cardiac CT volumes using an optimal smooth surface. - Yefeng Zheng 001; Bogdan Georgescu; Fernando Vega Higuera; Dorin Comaniciu (Image Processing, 2009)

Automatic left ventricle detection in MRI images using marginal space learning and component-based voting. - Yefeng Zheng 001; Xiaoguang Lu; Bogdan Georgescu; Arne Littmann; Edgar Mueller; Dorin Comaniciu (Image Processing, 2009)

Signature Detection and Matching for Document Image Retrieval. - Guangyu Zhu 004; Yefeng Zheng 001; David S. Doermann; Stefan Jaeger 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Patient-specific modeling of left heart anatomy, dynamics and hemodynamics from high resolution 4D CT. - Viorel Mihalef; Razvan Ioan Ionasec; Yang Wang 001; Yefeng Zheng 001; Bogdan Georgescu; Dorin Comaniciu (ISBI, 2010)

Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management. - Razvan Ioan Ionasec; Ingmar Voigt; Viorel Mihalef; Sasa Grbic; Dime Vitanovski; Yang Wang 001; Yefeng Zheng 001; Joachim Hornegger; Nassir Navab; Bogdan Georgescu (STACOM/CESC, 2010)

System to Guide Transcatheter Aortic Valve Implantations Based on Interventional C-Arm CT Imaging. - Matthias John 001; Rui Liao; Yefeng Zheng 001; Alois Nöttling; Jan M. Boese; Uwe Kirschstein; Jörg Kempfert; Thomas Walther (MICCAI (1), 2010)

Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. - B. Michael Kelm; Shaohua Kevin Zhou; Michael Sühling; Yefeng Zheng 001; Michael Wels; Dorin Comaniciu (MCV, 2010)

Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images. - Sushil Mittal; Yefeng Zheng 001; Bogdan Georgescu; Fernando Vega Higuera; Shaohua Kevin Zhou; Peter Meer; Dorin Comaniciu (MLMI, 2010)

Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization. - Yefeng Zheng 001; Fernando Vega Higuera; Shaohua Kevin Zhou; Dorin Comaniciu (MLMI, 2010)

Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation. - Yefeng Zheng 001; Matthias John 001; Rui Liao; Jan M. Boese; Uwe Kirschstein; Bogdan Georgescu; Shaohua Kevin Zhou; Jörg Kempfert; Thomas Walther; Gernot Brockmann (MICCAI (1), 2010)

Aortic valve and ascending aortic root modeling from 3D and 3D+t CT. - Sasa Grbic; Razvan Ioan Ionasec; Dominik Zäuner; Yefeng Zheng 001; Bogdan Georgescu; Dorin Comaniciu (Image-Guided Procedures, 2010)

Adaptive random forest - How many "experts" to ask before making a decision? - Alexander G. Schwing; Christopher Zach; Yefeng Zheng 001; Marc Pollefeys (CVPR, 2011)

A hybrid method for 2-D/3-D registration between 3-D volumes and 2-D angiography for trans-catheter aortic valve implantation (TAVI). - Shun Miao; Rui Liao; Yefeng Zheng 001 (ISBI, 2011)

Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram. - Mingqing Chen; Yefeng Zheng 001; Kerstin Müller 002; Christopher Rohkohl; Guenter Lauritsch; Jan M. Boese; Gareth Funka-Lea; Joachim Hornegger; Dorin Comaniciu (MICCAI (3), 2011)

Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures. - Sasa Grbic; Razvan Ioan Ionasec; Yang Wang 001; Tommaso Mansi; Bogdan Georgescu; Matthias John 001; Jan M. Boese; Yefeng Zheng 001; Nassir Navab; Dorin Comaniciu (MICCAI (1), 2011)

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. - B. Michael Kelm; Sushil Mittal; Yefeng Zheng 001; Alexey Tsymbal; Dominik Bernhardt; Fernando Vega Higuera; Shaohua Kevin Zhou; Peter Meer; Dorin Comaniciu (MICCAI (3), 2011)

Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures. - Yefeng Zheng 001; Hüseyin Tek; Gareth Funka-Lea; Shaohua Kevin Zhou; Fernando Vega Higuera; Dorin Comaniciu (MICCAI (3), 2011)

Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation. - Yefeng Zheng 001; Tianzhou Wang; Matthias John 001; Shaohua Kevin Zhou; Jan M. Boese; Dorin Comaniciu (MICCAI (3), 2011)

Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes. - Yefeng Zheng 001; Maciej Loziczonek; Bogdan Georgescu; Shaohua Kevin Zhou; Fernando Vega Higuera; Dorin Comaniciu (Image Processing, 2011)

Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking. - Lin Yang 002; Bogdan Georgescu; Yefeng Zheng 001; Yang Wang 001; Peter Meer; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2011)

Segmentation and removal of pulmonary arteries, veins and left atrial appendage for visualizing coronary and bypass arteries. - Hua Zhong 005; Yefeng Zheng 001; Gareth Funka-Lea; Fernando Vega Higuera (CVPR Workshops, 2012)

Enhancement of organ of interest via background subtraction in cone beam rotational angiocardiogram. - Mingqing Chen; Yefeng Zheng 001; Kerstin Müller 002; Christopher Rohkohl; Guenter Lauritsch; Jan M. Boese; Dorin Comaniciu (ISBI, 2012)

Personalized learning-based segmentation of thoracic aorta and main branches for diagnosis and treatment planning. - Dime Vitanovski; Kristof Ralovich; Razvan Ioan Ionasec; Yefeng Zheng 001; Michael Sühling; Waldemar Krawtschuk; Joachim Hornegger; Dorin Comaniciu (ISBI, 2012)

Precise segmentation of the left atrium in C-arm CT volumes with applications to atrial fibrillation ablation. - Yefeng Zheng 001; Matthias John 001; Jan M. Boese; Dorin Comaniciu (ISBI, 2012)

3D Lung Tumor Motion Model Extraction from 2D Projection Images of Mega-voltage Cone Beam CT via Optimal Graph Search. - Mingqing Chen; Junjie Bai; Yefeng Zheng 001; R. Alfredo C. Siochi (MICCAI (1), 2012)

Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. - Chao Lu 011; Yefeng Zheng 001; Neil Birkbeck; Jingdan Zhang; Timo Kohlberger; Christian Tietjen; Thomas Boettger; James S. Duncan; Shaohua Kevin Zhou (MICCAI (2), 2012)

Catheter Tracking via Online Learning for Dynamic Motion Compensation in Transcatheter Aortic Valve Implantation. - Peng Wang 005; Yefeng Zheng 001; Matthias John 001; Dorin Comaniciu (MICCAI (2), 2012)

Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries. - Yefeng Zheng 001; Jianhua Shen; Hüseyin Tek; Gareth Funka-Lea (MLMI, 2012)

Automatic Heart Isolation in 3D CT Images. - Hua Zhong 005; Yefeng Zheng 001; Gareth Funka-Lea; Fernando Vega Higuera (MCV, 2012)

Robust pigtail catheter tip detection in fluoroscopy. - Stratis Tzoumas; Peng Wang 005; Yefeng Zheng 001; Matthias John 001; Dorin Comaniciu (Image-Guided Procedures, 2012)

Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT for Transcatheter Aortic Valve Implantation. - Yefeng Zheng 001; Matthias John 001; Rui Liao; Alois Nöttling; Jan M. Boese; Jörg Kempfert; Thomas Walther; Gernot Brockmann; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2012)

Automatic 3D Motion Estimation of Left Ventricle from C-arm Rotational Angiocardiography Using a Prior Motion Model and Learning Based Boundary Detector. - Mingqing Chen; Yefeng Zheng 001; Yang Wang 001; Kerstin Müller 002; Guenter Lauritsch (MICCAI (3), 2013)

Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation. - Le Lu 001; Pandu R. Devarakota; Siddharth Vikal; Dijia Wu; Yefeng Zheng 001; Matthias Wolf 001 (MCV, 2013)

Robust and Accurate Coronary Artery Centerline Extraction in CTA by Combining Model-Driven and Data-Driven Approaches. - Yefeng Zheng 001; Hüseyin Tek; Gareth Funka-Lea (MICCAI (3), 2013)

Graph cuts based left atrium segmentation refinement and right middle pulmonary vein extraction in C-arm CT. - Dong Yang 005; Yefeng Zheng 001; Matthias John 001 (Image Processing, 2013)

Automatic and efficient contrast-based 2-D/3-D fusion for trans-catheter aortic valve implantation (TAVI). - Rui Liao; Shun Miao; Yefeng Zheng 001 (Comput. Medical Imaging Graph., 2013)

Spine detection in CT and MR using iterated marginal space learning. - B. Michael Kelm; Michael Wels; Shaohua Kevin Zhou; Sascha Seifert; Michael Sühling; Yefeng Zheng 001; Dorin Comaniciu (Medical Image Anal., 2013)

Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images. - Mingqing Chen; Kunlin Cao; Yefeng Zheng 001; R. Alfredo C. Siochi (IEEE Trans. Medical Imaging, 2013)

Marginal Space Learning for Medical Image Analysis - Efficient Detection and Segmentation of Anatomical Structures - Yefeng Zheng 001; Dorin Comaniciu (Springer, 2014)

Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection. - Alexander G. Schwing; Yefeng Zheng 001 (ISBI, 2014)

CTA Coronary Labeling through Efficient Geodesics between Trees Using Anatomy Priors. - Mehmet A. Gülsün; Gareth Funka-Lea; Yefeng Zheng 001; Matthias Eckert (MICCAI (2), 2014)

Sparse Appearance Learning Based Automatic Coronary Sinus Segmentation in CTA. - Shiyang Lu; Xiaojie Huang; Zhiyong Wang; Yefeng Zheng 001 (MICCAI (1), 2014)

Precise Lumen Segmentation in Coronary Computed Tomography Angiography. - Felix Lugauer; Yefeng Zheng 001; Joachim Hornegger; B. Michael Kelm (MCV, 2014)

Pericardium Based Model Fusion of CT and Non-contrasted C-arm CT for Visual Guidance in Cardiac Interventions. - Yefeng Zheng 001 (MICCAI (2), 2014)

Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization. - Felix Lugauer; Jingdan Zhang; Yefeng Zheng 001; Joachim Hornegger; B. Michael Kelm (Image Processing, 2014)

Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation. - Yefeng Zheng 001; Dong Yang 005; Matthias John 001; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2014)

Component-composition based heart isolation for 3D volume visualization of coronary arteries. - Mingqing Chen; Hua Zhong 005; Yefeng Zheng 001; Gareth Funka-Lea (ISBI, 2015)

Cross-modality medical image detection and segmentation by transfer learning of shapel priors. - Yefeng Zheng 001 (ISBI, 2015)

Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data. - Florin C. Ghesu; Bogdan Georgescu; Yefeng Zheng 001; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2015)

3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data. - Yefeng Zheng 001; David Liu 001; Bogdan Georgescu; Hien Nguyen 006; Dorin Comaniciu (MICCAI (1), 2015)

Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. - Catalina Tobon-Gomez; Arjan J. Geers; Jochen Peters; Jürgen Weese; Karen Pinto; Rashed Karim; Mohammed Ammar; Abdelaziz Daoudi; Ján Margeta; Zulma L. Sandoval; Birgit Stender; Yefeng Zheng 001; et al. (IEEE Trans. Medical Imaging, 2015)

Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement. - Qian Wang 001; Le Lu 001; Dijia Wu; Noha Youssry El-Zehiry; Yefeng Zheng 001; Dinggang Shen; Shaohua Kevin Zhou (IEEE Trans. Medical Imaging, 2015)

Real-time 2D/3D registration via CNN regression. - Shun Miao; Z. Jane Wang 001; Yefeng Zheng 001; Rui Liao (ISBI, 2016)

Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images. - Hao Chen 011; Yefeng Zheng 001; Jin Hyeong Park; Pheng-Ann Heng; Shaohua Kevin Zhou (MICCAI (2), 2016)

Structure-Aware Rank-1 Tensor Approximation for Curvilinear Structure Tracking Using Learned Hierarchical Features. - Peng Chu; Yu Pang; Erkang Cheng; Ying J. Zhu; Yefeng Zheng 001; Haibin Ling (MICCAI (1), 2016)

Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning. - Mehmet A. Gülsün; Gareth Funka-Lea; Puneet Sharma; Saikiran Rapaka; Yefeng Zheng 001 (MICCAI (3), 2016)

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing. - Florin C. Ghesu; Edward Krubasik; Bogdan Georgescu; Vivek K. Singh 002; Yefeng Zheng 001; Joachim Hornegger; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2016)

Self supervised deep representation learning for fine-grained body part recognition. - Pengyue Zhang; Fusheng Wang 001; Yefeng Zheng 001 (ISBI, 2017)

A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes. - Assaf Hoogi; John W. Lambert; Yefeng Zheng 001; Dorin Comaniciu; Daniel L. Rubin (CoRR, 2017)

Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis. - Gustavo Carneiro 001; Yefeng Zheng 001; Fuyong Xing; Lin Yang 002 (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning. - Yefeng Zheng 001; David Liu 001; Bogdan Georgescu; Hien Nguyen 006; Dorin Comaniciu (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context. - Yefeng Zheng 001; David Liu 001; Bogdan Georgescu; Daguang Xu; Dorin Comaniciu (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Face Completion with Semantic Knowledge and Collaborative Adversarial Learning. - Haofu Liao; Gareth Funka-Lea; Yefeng Zheng 001; Jiebo Luo 001; Shaohua Kevin Zhou (ACCV (1), 2018)

Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network. - Zizhao Zhang; Lin Yang 002; Yefeng Zheng 001 (CVPR, 2018)

Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation. - Cheng Bian; Xin Yang 009; Jianqiang Ma; Shen Zheng; Yu-An Liu; Reza Nezafat; Pheng-Ann Heng; Yefeng Zheng 001 (STACOM@MICCAI, 2018)

Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes. - Pengyue Zhang; Fusheng Wang 001; Yefeng Zheng 001 (MICCAI (4), 2018)

Deep similarity learning for multimodal medical images. - Xi Cheng; Li Zhang 047; Yefeng Zheng 001 (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Sasa Grbic; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (CoRR, 2018)

When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets. - Hong-Yu Zhou; Avital Oliver; Jianxin Wu; Yefeng Zheng 001 (CoRR, 2018)

X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks. - Xingde Ying; Heng Guo 003; Kai Ma 002; Jian Wu; Zhengxin Weng; Yefeng Zheng 001 (CVPR, 2019)

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. - Yu Chen; Jiawei Chen 009; Dong Wei 004; Yuexiang Li; Yefeng Zheng 001 (MMMI@MICCAI, 2019)

Seg4Reg Networks for Automated Spinal Curvature Estimation. - Yi Lin 009; Hong-Yu Zhou; Kai Ma 002; Xin Yang 008; Yefeng Zheng 001 (CSI@MICCAI, 2019)

Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. - Wenao Ma; Shuang Yu; Kai Ma 002; Jiexiang Wang; Xinghao Ding; Yefeng Zheng 001 (MICCAI (1), 2019)

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster. - Qingbin Shao; Lijun Gong; Kai Ma 002; Hualuo Liu; Yefeng Zheng 001 (MICCAI (6), 2019)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (MLMI@MICCAI, 2019)

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network. - Renzhen Wang; Shilei Cao 001; Kai Ma 002; Deyu Meng; Yefeng Zheng 001 (MICCAI (6), 2019)

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. - Xinrui Zhuang; Yuexiang Li; Yifan Hu; Kai Ma 002; Yujiu Yang; Yefeng Zheng 001 (MICCAI (4), 2019)

Combo loss: Handling input and output imbalance in multi-organ segmentation. - Saeid Asgari Taghanaki; Yefeng Zheng 001; Shaohua Kevin Zhou; Bogdan Georgescu; Puneet Sharma; Daguang Xu; Dorin Comaniciu; Ghassan Hamarneh (Comput. Medical Imaging Graph., 2019)

Med3D: Transfer Learning for 3D Medical Image Analysis. - Sihong Chen; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2019)

TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos. - Sihong Chen; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2019)

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. - Yu Chen; Yuexiang Li; Jiawei Chen 009; Yefeng Zheng 001 (CoRR, 2019)

A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage. - Yifan Hu; Yefeng Zheng 001 (CoRR, 2019)

Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence. - Sihong Chen; Weiping Yu; Kai Ma 002; Xinlong Sun; Xiaona Lin; Desheng Sun; Yefeng Zheng 001 (CoRR, 2019)

Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images. - Jiexiang Wang; Cheng Bian; Meng Li; Xin Yang 009; Kai Ma 002; Wenao Ma; Jin Yuan; Xinghao Ding; Yefeng Zheng 001 (CoRR, 2019)

Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks. - Chenglang Yuan; Cheng Bian; Hongjian Kang; Shu Liang; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2019)

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. - Jinzheng Cai; Zizhao Zhang; Lei Cui 004; Yefeng Zheng 001; Lin Yang 002 (Medical Image Anal., 2019)

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans. - Florin C. Ghesu; Bogdan Georgescu; Yefeng Zheng 001; Sasa Grbic; Andreas K. Maier; Joachim Hornegger; Dorin Comaniciu (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Generative Adversarial Networks for Video-to-Video Domain Adaptation. - Jiawei Chen 009; Yuexiang Li; Kai Ma 002; Yefeng Zheng 001 (AAAI, 2020)

An Industry Evaluation of Embedding-based Entity Alignment. - Ziheng Zhang; Hualuo Liu; Jiaoyan Chen 001; Xi Chen 003; Bo Liu 095; Yuejia Xiang; Yefeng Zheng 001 (COLING (Industry), 2020)

LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. - Shuxin Wang; Shilei Cao 001; Dong Wei 004; Renzhen Wang; Kai Ma 002; Liansheng Wang; Deyu Meng; Yefeng Zheng 001 (CVPR, 2020)

Dual Adversarial Network for Deep Active Learning. - Shuo Wang 008; Yuexiang Li; Kai Ma 002; Ruhui Ma; Haibing Guan; Yefeng Zheng 001 (ECCV (24), 2020)

Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. - Xinpeng Xie; Jiawei Chen 009; Yuexiang Li; Linlin Shen; Kai Ma 002; Yefeng Zheng 001 (ECCV (20), 2020)

Deep Image Clustering with Category-Style Representation. - Junjie Zhao; Donghuan Lu; Kai Ma 002; Yu Zhang 185; Yefeng Zheng 001 (ECCV (14), 2020)

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. - Qinming Zhang; Luyan Liu; Kai Ma 002; Cheng Zhuo; Yefeng Zheng 001 (IJCAI, 2020)

A Multi-Task Self-Supervised Learning Framework for Scopy Images. - Yuexiang Li; Jiawei Chen 009; Yefeng Zheng 001 (ISBI, 2020)

Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis. - Bingyu Xin; Yifan Hu; Yefeng Zheng 001; Hongen Liao (ISBI, 2020)

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare. - Xianli Zhang; Buyue Qian; Shilei Cao 001; Yang Li 139; Hang Chen; Yefeng Zheng 001; Ian Davidson (KDD, 2020)

Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imaging. - Dong Wei 004; Yiming Li; Yinyan Wang; Tianyi Qian; Yefeng Zheng 001 (Computer-Aided Diagnosis, 2020)

TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. - Wenting Chen; Shuang Yu; Junde Wu; Kai Ma 002; Cheng Bian; Chunyan Chu; Linlin Shen; Yefeng Zheng 001 (MICCAI (5), 2020)

Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications. - Lijun Gong; Kai Ma 002; Yefeng Zheng 001 (MICCAI (2), 2020)

Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation. - Yuexiang Li; Jiawei Chen 009; Xinpeng Xie; Kai Ma 002; Yefeng Zheng 001 (MICCAI (1), 2020)

Superpixel-Guided Label Softening for Medical Image Segmentation. - Hang Li; Dong Wei 004; Shilei Cao 001; Kai Ma 002; Liansheng Wang; Yefeng Zheng 001 (MICCAI (4), 2020)

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy. - Shaoteng Liu; Lijun Gong; Kai Ma 002; Yefeng Zheng 001 (MICCAI (5), 2020)

Learning Crisp Edge Detector Using Logical Refinement Network. - Luyan Liu; Kai Ma 002; Yefeng Zheng 001 (MICCAI (4), 2020)

Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network. - Yanfei Liu; Yunqiao Yang; Yi Lin 009; Yuexiang Li; Dong Wei 004; Kai Ma 002; Yefeng Zheng 001 (CADA@MICCAI, 2020)

A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. - Munan Ning; Cheng Bian; Donghuan Lu; Hong-Yu Zhou; Shuang Yu; Chenglang Yuan; Yang Guo 003; Yaohua Wang; Kai Ma 002; Yefeng Zheng 001 (MICCAI (5), 2020)

Ensembled ResUnet for Anatomical Brain Barriers Segmentation. - Munan Ning; Cheng Bian; Chenglang Yuan; Kai Ma 002; Yefeng Zheng 001 (MICCAI (Challenges), 2020)

Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation. - Xing Tao; Yuexiang Li; Wenhui Zhou 001; Kai Ma 002; Yefeng Zheng 001 (MICCAI (4), 2020)

Learning and Exploiting Interclass Visual Correlations for Medical Image Classification. - Dong Wei 004; Shilei Cao 001; Kai Ma 002; Yefeng Zheng 001 (MICCAI (1), 2020)

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning. - Junde Wu; Shuang Yu; Wenting Chen; Kai Ma 002; Rao Fu; Hanruo Liu; Xiaoguang Di; Yefeng Zheng 001 (MICCAI (1), 2020)

MI2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint. - Xinpeng Xie; Jiawei Chen 009; Yuexiang Li; Linlin Shen; Kai Ma 002; Yefeng Zheng 001 (MICCAI (2), 2020)

Instance-Aware Self-supervised Learning for Nuclei Segmentation. - Xinpeng Xie; Jiawei Chen 009; Yuexiang Li; Linlin Shen; Kai Ma 002; Yefeng Zheng 001 (MICCAI (5), 2020)

Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling. - Shuang Yu; Hong-Yu Zhou; Kai Ma 002; Cheng Bian; Chunyan Chu; Hanruo Liu; Yefeng Zheng 001 (MICCAI (1), 2020)

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations. - Hong-Yu Zhou; Shuang Yu; Cheng Bian; Yifan Hu; Kai Ma 002; Yefeng Zheng 001 (MICCAI (1), 2020)

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. - Zifeng Wang 008; Xi Chen 003; Rui Wen 001; Shao-Lun Huang; Ercan E. Kuruoglu; Yefeng Zheng 001 (NeurIPS, 2020)

Quality Control of Neuron Reconstruction Based on Deep Learning. - Donghuan Lu; Sujun Zhao; Peng Xie; Kai Ma 002; Lijuan Liu; Yefeng Zheng 001 (CoRR, 2020)

Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation. - Qian Yu; Yinghuan Shi; Yefeng Zheng 001; Yang Gao 001; Jianbing Zhu; Yakang Dai (CoRR, 2020)

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. - Zhaohan Xiong; Qing Xia 002; Zhiqiang Hu; Ning Huang; Cheng Bian; Yefeng Zheng 001; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier; Xin Yang 009; Pheng-Ann Heng; Dong Ni 001; et al. (CoRR, 2020)

MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint. - Xinpeng Xie; Jiawei Chen 009; Yuexiang Li; Linlin Shen; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2020)

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shilei Cao 001; Shao-Lun Huang; Buyue Qian; Yefeng Zheng 001 (CoRR, 2020)

RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System. - Yi Liu 057; Xingliang Yuan; Ruihui Zhao; Yifeng Zheng; Yefeng Zheng 001 (CoRR, 2020)

Uncertainty-aware domain alignment for anatomical structure segmentation. - Cheng Bian; Chenglang Yuan; Jiexiang Wang; Meng Li; Xin Yang 009; Shuang Yu; Kai Ma 002; Jin Yuan; Yefeng Zheng 001 (Medical Image Anal., 2020)

Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis. - Jiuwen Zhu; Yuexiang Li; Yifan Hu; Kai Ma 002; S. Kevin Zhou; Yefeng Zheng 001 (Medical Image Anal., 2020)

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank. - Yuexiang Li; Dong Wei 004; Jiawei Chen 009; Shilei Cao 001; Hongyu Zhou; Yanchun Zhu; Jianrong Wu; Lan Lan 002; Wenbo Sun; Tianyi Qian; Kai Ma 002; Haibo Xu; et al. (IEEE J. Biomed. Health Informatics, 2020)

Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images. - Yuexiang Li; Jiawei Chen 009; Peng Xue; Chao Tang; Jia Chang; Chunyan Chu; Kai Ma 002; Qing Li; Yefeng Zheng 001; Youlin Qiao (IEEE Trans. Medical Imaging, 2020)

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network. - Shuxin Wang; Shilei Cao 001; Zhizhong Chai; Dong Wei 004; Kai Ma 002; Liansheng Wang; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2020)

Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective. - Shuxin Wang; Shilei Cao 001; Dong Wei 004; Cong Xie; Kai Ma 002; Liansheng Wang; Deyu Meng; Yefeng Zheng 001 (AAAI, 2021)

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. - Yi Cheng; Siyao Li; Bang Liu; Ruihui Zhao; Sujian Li; Chenghua Lin; Yefeng Zheng 001 (ACL/IJCNLP (1), 2021)

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. - Zijing Ou; Qinliang Su; Jianxing Yu; Bang Liu; Jingwen Wang; Ruihui Zhao; Changyou Chen; Yefeng Zheng 001 (ACL/IJCNLP (1), 2021)

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding. - Yuejia Xiang; Ziheng Zhang; Jiaoyan Chen 001; Xi Chen 003; Zhenxi Lin; Yefeng Zheng 001 (ACL/IJCNLP (Findings), 2021)

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction. - Hengyi Zheng; Rui Wen 001; Xi Chen 003; Yifan Yang 008; Yunyan Zhang; Ziheng Zhang; Ningyu Zhang 001; Bin Qin; Xu Ming; Yefeng Zheng 001 (ACL/IJCNLP (1), 2021)

Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. - Ziqi Zhang; Yuexiang Li; Hongxin Wei; Kai Ma 002; Tao Xu; Yefeng Zheng 001 (BMVC, 2021)

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System. - Zhiyuan Qi; Ziheng Zhang; Jiaoyan Chen 001; Xi Chen 003; Yefeng Zheng 001 (CIKM, 2021)

Calibrated RGB-D Salient Object Detection. - Wei Ji 011; Jingjing Li; Shuang Yu; Miao Zhang 004; Yongri Piao; Shunyu Yao; Qi Bi; Kai Ma 002; Yefeng Zheng 001; Huchuan Lu; Li Cheng 001 (CVPR, 2021)

Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling. - Wei Ji 011; Shuang Yu; Junde Wu; Kai Ma 002; Cheng Bian; Qi Bi; Jingjing Li; Hanruo Liu; Li Cheng 001; Yefeng Zheng 001 (CVPR, 2021)

From Rain Generation to Rain Removal. - Hong Wang 021; Zongsheng Yue; Qi Xie; Qian Zhao 002; Yefeng Zheng 001; Deyu Meng (CVPR, 2021)

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. - Zijing Ou; Qinliang Su; Jianxing Yu; Ruihui Zhao; Yefeng Zheng 001; Bang Liu (EMNLP (Findings), 2021)

Multi-Anchor Active Domain Adaptation for Semantic Segmentation. - Munan Ning; Donghuan Lu; Dong Wei 004; Cheng Bian; Chenglang Yuan; Shuang Yu; Kai Ma 002; Yefeng Zheng 001 (ICCV, 2021)

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. - Yang Li 139; Xianli Zhang; Buyue Qian; Zeyu Gao 001; Chong Guan; Yefeng Zheng 001; Hansen Zheng; Fenglang Wu; Chen Li 011 (ICDM, 2021)

Stabilized Medical Image Attacks. - Gege Qi; Lijun Gong; Yibing Song; Kai Ma 002; Yefeng Zheng 001 (ICLR, 2021)

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding. - Zhiyuan Qi; Ziheng Zhang; Jiaoyan Chen 001; Xi Chen 003; Yuejia Xiang; Ningyu Zhang 001; Yefeng Zheng 001 (IJCAI, 2021)

FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. - Yuanshao Zhu; Christos Markos; Ruihui Zhao; Yefeng Zheng 001; James J. Q. Yu (IJCNN, 2021)

Feature Library: A Benchmark for Cervical Lesion Segmentation. - Yuexiang Li; Jiawei Chen 009; Kai Ma 002; Yefeng Zheng 001 (IPMI, 2021)

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. - Munan Ning; Cheng Bian; Dong Wei 004; Shuang Yu; Chenglang Yuan; Yaohua Wang; Yang Guo 003; Kai Ma 002; Yefeng Zheng 001 (IPMI, 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)

The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization. - Xing Tao; Chenglang Yuan; Cheng Bian; Yuexiang Li; Kai Ma 002; Dong Ni 001; Yefeng Zheng 001 (ISBI, 2021)

Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation. - Cong Xie; Shilei Cao 001; Dong Wei 004; Hongyu Zhou; Kai Ma 002; Xianli Zhang; Buyue Qian; Liansheng Wang; Yefeng Zheng 001 (ISBI, 2021)

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. - Cong Xie; Hualuo Liu; Shilei Cao 001; Dong Wei 004; Kai Ma 002; Liansheng Wang; Yefeng Zheng 001 (ISBI, 2021)

Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification. - Qi Bi; Shuang Yu; Wei Ji 011; Cheng Bian; Lijun Gong; Hanruo Liu; Kai Ma 002; Yefeng Zheng 001 (MICCAI (8), 2021)

Deep Reinforcement Exemplar Learning for Annotation Refinement. - Yuexiang Li; Nanjun He; Sixiang Peng; Kai Ma 002; Yefeng Zheng 001 (MICCAI (8), 2021)

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. - Yuexiang Li; Yanping Wang; Guang Lin; Yi Lin 009; Dong Wei 004; Qirui Zhang 004; Kai Ma 002; Guangming Lu 001; Zhiqiang Zhang; Yefeng Zheng 001 (MICCAI (5), 2021)

Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression. - Yi Lin 009; Luyan Liu; Kai Ma 002; Yefeng Zheng 001 (MICCAI (5), 2021)

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. - Hong Liu; Dong Wei 004; Donghuan Lu; Yuexiang Li; Kai Ma 002; Liansheng Wang; Yefeng Zheng 001 (MICCAI (8), 2021)

Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. - Jinghan Sun; Dong Wei 004; Kai Ma 002; Liansheng Wang; Yefeng Zheng 001 (MICCAI (5), 2021)

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction. - Hong Wang 021; Yuexiang Li; Haimiao Zhang; Jiawei Chen 009; Kai Ma 002; Deyu Meng; Yefeng Zheng 001 (MICCAI (6), 2021)

Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views. - Dong Wei 004; Kai Ma 002; Yefeng Zheng 001 (MICCAI (6), 2021)

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. - Zhe Xu; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Jagadeesan Jayender; Kai Ma 002; Yefeng Zheng 001; Xiu Li 001 (MICCAI (1), 2021)

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. - Qingsong Yao; Zecheng He; Yi Lin 009; Kai Ma 002; Yefeng Zheng 001; S. Kevin Zhou (MICCAI (3), 2021)

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification. - Shuang Yu; Kai Ma 002; Qi Bi; Cheng Bian; Munan Ning; Nanjun He; Yuexiang Li; Hanruo Liu; Yefeng Zheng 001 (MICCAI (8), 2021)

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management. - Zhengxu Hou; Bang Liu; Ruihui Zhao; Zijing Ou; Yafei Liu; Xi Chen 003; Yefeng Zheng 001 (NAACL-HLT, 2021)

Lifelong Learning Based Disease Diagnosis on Clinical Notes. - Zifeng Wang 008; Yifan Yang 006; Rui Wen 001; Xi Chen 003; Shao-Lun Huang; Yefeng Zheng 001 (PAKDD (1), 2021)

Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge. - Zhihao Ye; Rui Wen 001; Xi Chen 003; Ye Liu; Ziheng Zhang; Zhiyong Li 001; Ke Nai; Yefeng Zheng 001 (PAKDD (2), 2021)

CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse. - Jiarun Cao; Yuejia Xiang; Yunyan Zhang; Zhiyuan Qi; Xi Chen 003; Yefeng Zheng 001 (SemEval@ACL/IJCNLP, 2021)

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shilei Cao 001; Shao-Lun Huang; Buyue Qian; Yefeng Zheng 001 (WWW, 2021)

Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. - Suyuchen Wang; Ruihui Zhao; Xi Chen 003; Yefeng Zheng 001; Bang Liu (WWW, 2021)

MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures. - Luyan Liu; Zhiwei Wen; Songwei Liu; Hong-Yu Zhou; Hongwei Zhu; Weicheng Xie 001; Linlin Shen; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

LE-NAS: Learning-based Ensenble with NAS for Dose Prediction. - Yi Lin 009; Yanfei Liu; Jingguang Liu; Guocai Liu; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2021)

Prototypical Graph Contrastive Learning. - Shuai Lin; Pan Zhou 002; Zi-Yuan Hu; Shuojia Wang; Ruihui Zhao; Yefeng Zheng 001; Liang Lin; Eric P. Xing; Xiaodan Liang (CoRR, 2021)

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction. - Hengyi Zheng; Rui Wen 001; Xi Chen 003; Yifan Yang 008; Yunyan Zhang; Ziheng Zhang; Ningyu Zhang 001; Bin Qin; Ming Xu; Yefeng Zheng 001 (CoRR, 2021)

Residual Moment Loss for Medical Image Segmentation. - Quanziang Wang; Renzhen Wang; Yuexiang Li; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (CoRR, 2021)

Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint. - Jiawei Chen 009; Yuexiang Li; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2021)

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. - Zhe Xu; Jie Luo 003; Donghuan Lu; Jiangpeng Yan; Jayender Jagadeesan; William M. Wells III; Sarah F. Frisken; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (CoRR, 2021)

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. - Munan Ning; Cheng Bian; Dong Wei 004; Chenglang Yuan; Yaohua Wang; Yang Guo 003; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2021)

InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images. - Hong Wang 021; Yuexiang Li; Haimiao Zhang; Deyu Meng; Yefeng Zheng 001 (CoRR, 2021)

Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship. - Quanziang Wang; Yuexiang Li; Dong Wei 004; Renzhen Wang; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (CoRR, 2021)

GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description. - Yuexiang Li; Zhi-Hua Liu; Peng Xue; Jiawei Chen 009; Kai Ma 002; Tianyi Qian; Yefeng Zheng 001; Youlin Qiao (Medical Image Anal., 2021)

S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation. - Luyan Liu; Zhengdong Zhang; Shuai Li 001; Kai Ma 002; Yefeng Zheng 001 (Medical Image Anal., 2021)

Pairwise learning for medical image segmentation. - Renzhen Wang; Shilei Cao 001; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (Medical Image Anal., 2021)

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. - Zhaohan Xiong; Qing Xia 002; Zhiqiang Hu; Ning Huang; Cheng Bian; Yefeng Zheng 001; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier; Xin Yang 009; Pheng-Ann Heng; Dong Ni 001; et al. (Medical Image Anal., 2021)

Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation. - Qian Yu; Yang Gao 001; Yefeng Zheng 001; Jianbing Zhu; Yakang Dai; Yinghuan Shi (Pattern Recognit., 2021)

A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data. - Hengji Cui; Dong Wei 004; Kai Ma 002; Shi Gu; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2021)

Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features. - He Zhao 002; Yuexiang Li; Nanjun He; Kai Ma 002; Leyuan Fang; Huiqi Li; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2021)

Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification. - He Zhao 002; Qingqing Zheng; Kai Ma 002; Huiqi Li; Yefeng Zheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. - Jinghan Sun; Dong Wei 004; Kai Ma 002; Liansheng Wang; Yefeng Zheng 001 (AAAI, 2022)

Probing the Impacts of Visual Context in Multimodal Entity Alignment. - Yinghui Shi; Meng Wang; Ziheng Zhang; Zhenxi Lin; Yefeng Zheng 001 (APWeb/WAIM (2), 2022)

MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. - Wangjie Jiang; Zhihao Ye; Zijing Ou; Ruihui Zhao; Jianguang Zheng; Yi Liu 057; Bang Liu; Siheng Li; Yujiu Yang; Yefeng Zheng 001 (CIKM, 2022)

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. - Jialun Wu; Buyue Qian; Yang Li 139; Zeyu Gao 001; Meizhi Ju; Yifan Yang 008; Yefeng Zheng 001; Tieliang Gong; Chen Li 011; Xianli Zhang (CIKM, 2022)

Finding Influential Instances for Distantly Supervised Relation Extraction. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shao-Lun Huang; Ningyu Zhang 001; Yefeng Zheng 001 (COLING, 2022)

Multi-modal Contrastive Representation Learning for Entity Alignment. - Zhenxi Lin; Ziheng Zhang; Meng Wang; Yinghui Shi; Xian Wu 001; Yefeng Zheng 001 (COLING, 2022)

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. - Haochun Wang; Chi Liu; Nuwa Xi; Sendong Zhao; Meizhi Ju; Shiwei Zhang; Ziheng Zhang; Yefeng Zheng 001; Bing Qin 001; Ting Liu 001 (COLING, 2022)

DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. - Xian Wu 001; Shuxin Yang; Zhaopeng Qiu; Shen Ge; Yangtian Yan; Xingwang Wu; Yefeng Zheng 001; S. Kevin Zhou; Li Xiao 005 (COLING, 2022)

InDISP: An Interpretable Model for Dynamic Illness Severity Prediction. - Xinyu Ma; Meng Wang 009; Xing Liu; Yifan Yang 008; Yefeng Zheng 001; Sen Wang 001 (DASFAA (2), 2022)

Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks. - Yawen Huang; Feng Zheng; Xu Sun 006; Yuexiang Li; Ling Shao 001; Yefeng Zheng 001 (ECCV (34), 2022)

Decoupled Mixup for Out-of-Distribution Visual Recognition. - Haozhe Liu; Wentian Zhang; Jinheng Xie; Haoqian Wu; Bing Li 024; Ziqi Zhang; Yuexiang Li; Yawen Huang; Bernard Ghanem; Yefeng Zheng 001 (ECCV Workshops (6), 2022)

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. - Xinyu Shi; Dong Wei 004; Yu Zhang 185; Donghuan Lu; Munan Ning; Jiashun Chen; Kai Ma 002; Yefeng Zheng 001 (ECCV (20), 2022)

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. - Yi Cheng; Wenge Liu; Wenjie Li 002; Jiashuo Wang; Ruihui Zhao; Bang Liu; Xiaodan Liang; Yefeng Zheng 001 (EMNLP, 2022)

BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection. - Jia Li 012; Yunyan Zhang; Yifan Yang 008; Zhicheng An; Yefeng Zheng 001 (ICASSP, 2022)

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. - Jiayuan Ding; Tong Xiang; Zijing Ou; Wangyang Zuo; Ruihui Zhao; Chenghua Lin; Yefeng Zheng 001; Bang Liu (ICDE, 2022)

Contractible Regularization for Federated Learning on Non-IID Data. - Zifan Chen; Zhe Wu; Xian Wu 001; Li Zhang 047; Jie Zhao 009; Yangtian Yan; Yefeng Zheng 001 (ICDM, 2022)

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. - Xianli Zhang; Buyue Qian; Yang Li 139; Zeyu Gao 001; Chong Guan; Renzhen Wang; Yefeng Zheng 001; Hansen Zheng; Chen Li 011 (ICDM, 2022)

PAC-Bayes Information Bottleneck. - Zifeng Wang 008; Shao-Lun Huang; Ercan Engin Kuruoglu; Jimeng Sun 001; Xi Chen 003; Yefeng Zheng 001 (ICLR, 2022)

"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics. - Wenge Liu; Yi Cheng; Hao Wang 014; Jianheng Tang; Yafei Liu; Ruihui Zhao; Wenjie Li 002; Yefeng Zheng 001; Xiaodan Liang (IJCAI, 2022)

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. - Hong Wang 021; Yuexiang Li; Deyu Meng; Yefeng Zheng 001 (IJCAI, 2022)

Medical Symptom Detection in Intelligent Pre-Consultation Using Bi-directional Hard-Negative Noise Contrastive Estimation. - Shiwei Zhang; Jichao Sun; Yu Huang; Xueqi Ding; Yefeng Zheng 001 (KDD, 2022)

CLINER: Clinical Interrogation Named Entity Recognition. - Jing Ren; Tianyang Cao; Yifan Yang 008; Yunyan Zhang; Xi Chen 003; Tian Feng; Baobao Chang; Zhifang Sui; Ruihui Zhao; Yefeng Zheng 001; Bang Liu (KSEM (2), 2022)

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. - Jiashun Chen; Donghuan Lu; Yu Zhang 185; Dong Wei 004; Munan Ning; Xinyu Shi; Zhe Xu; Yefeng Zheng 001 (MICCAI (6), 2022)

Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. - Haoqin Ji; Haozhe Liu; Yuexiang Li; Jinheng Xie; Nanjun He; Yawen Huang; Dong Wei 004; Xinrong Chen; Linlin Shen; Yefeng Zheng 001 (MICCAI (3), 2022)

Lesion Guided Explainable Few Weak-Shot Medical Report Generation. - Jinghan Sun; Dong Wei 004; Liansheng Wang; Yefeng Zheng 001 (MICCAI (5), 2022)

An Inclusive Task-Aware Framework for Radiology Report Generation. - Lin Wang 026; Munan Ning; Donghuan Lu; Dong Wei 004; Yefeng Zheng 001; Jie Chen 001 (MICCAI (8), 2022)

Orientation-Shared Convolution Representation for CT Metal Artifact Learning. - Hong Wang 021; Qi Xie; Yuexiang Li; Yawen Huang; Deyu Meng; Yefeng Zheng 001 (MICCAI (6), 2022)

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. - Zhe Xu; Jie Luo 003; Donghuan Lu; Jiangpeng Yan; Sarah F. Frisken; Jayender Jagadeesan; William M. Wells III; Xiu Li 001; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (6), 2022)

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. - Zhe Xu; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Dong Wei 004; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (5), 2022)

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images. - Wenguang Yuan; Donghuan Lu; Dong Wei 004; Munan Ning; Yefeng Zheng 001 (MICCAI (2), 2022)

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. - Yao Zhang 010; Nanjun He; Jiawei Yang 002; Yuexiang Li; Dong Wei 004; Yawen Huang; Yang Zhang 002; Zhiqiang He 002; Yefeng Zheng 001 (MICCAI (5), 2022)

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. - Wentian Zhang; Xu Sun 006; Yuexiang Li; Haozhe Liu; Nanjun He; Feng Liu 013; Yefeng Zheng 001 (MICCAI (2), 2022)

FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss. - Jinbao Wang; Guoyang Xie; Yawen Huang; Yefeng Zheng 001; Yaochu Jin; Feng Zheng (ACM Multimedia, 2022)

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation. - Wenge Liu; Jianheng Tang; Yi Cheng; Wenjie Li 002; Yefeng Zheng 001; Xiaodan Liang (NLPCC (1), 2022)

QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations. - Suyuchen Wang; Ruihui Zhao; Yefeng Zheng 001; Bang Liu (WWW, 2022)

mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains. - Yuanyuan Li; Jun Wu; Donghuan Lu; Chao Xu; Yefeng Zheng 001; Hanchuan Peng; Lei Qu (Bioinform., 2022)

FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis. - Guoyang Xie; Jinbao Wang; Yawen Huang; Yefeng Zheng 001; Feng Zheng; Jingkuan Song; Yaochu Jin (CoRR, 2022)

FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss. - Guoyang Xie; Jinbao Wang; Yawen Huang; Yefeng Zheng 001; Feng Zheng; Yaochu Jin (CoRR, 2022)

A Survey of Cross-Modality Brain Image Synthesis. - Guoyang Xie; Jinbao Wang; Yawen Huang; Yefeng Zheng 001; Feng Zheng; Yaochu Jin (CoRR, 2022)

Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images. - Yi Lin 009; Zhiyong Qu; Hao Chen 011; Zhongke Gao; Yuexiang Li; Lili Xia; Kai Ma 002; Yefeng Zheng 001; Kwang-Ting Cheng (CoRR, 2022)

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection. - Heqin Zhu; Xu Sun 006; Yuexiang Li; Kai Ma 002; S. Kevin Zhou; Yefeng Zheng 001 (CoRR, 2022)

Robust Representation via Dynamic Feature Aggregation. - Haozhe Liu; Haoqin Ji; Yuexiang Li; Nanjun He; Haoqian Wu; Feng Liu 013; Linlin Shen; Yefeng Zheng 001 (CoRR, 2022)

Combating Mode Collapse in GANs via Manifold Entropy Estimation. - Haozhe Liu; Bing Li 024; Haoqian Wu; Hanbang Liang; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (CoRR, 2022)

Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression. - Yi Lin 009; Luyan Liu; Kai Ma 001; Yefeng Zheng 001 (CoRR, 2022)

A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays. - Haoqin Ji; Haozhe Liu; Yuexiang Li; Jinheng Xie; Nanjun He; Yawen Huang; Dong Wei 004; Xinrong Chen; Linlin Shen; Yefeng Zheng 001 (CoRR, 2022)

Decoupled Mixup for Generalized Visual Recognition. - Haozhe Liu; Wentian Zhang; Jinheng Xie; Haoqian Wu; Bing Li 024; Ziqi Zhang; Yuexiang Li; Yawen Huang; Bernard Ghanem; Yefeng Zheng 001 (CoRR, 2022)

Knowing the Past to Predict the Future: Reinforcement Virtual Learning. - Peng Zhang 058; Yawen Huang; Bingzhang Hu; Shizheng Wang; Haoran Duan 001; Noura Al Moubayed; Yefeng Zheng 001; Yang Long 001 (CoRR, 2022)

Cross-Domain Gated Learning for Domain Generalization. - Dapeng Du; Jiawei Chen 009; Yuexiang Li; Kai Ma 002; Gangshan Wu; Yefeng Zheng 001; Limin Wang 002 (Int. J. Comput. Vis., 2022)

TW-GAN: Topology and width aware GAN for retinal artery/vein classification. - Wenting Chen; Shuang Yu; Kai Ma 002; Wei Ji 011; Cheng Bian; Chunyan Chu; Linlin Shen; Yefeng Zheng 001 (Medical Image Anal., 2022)

Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data. - Yuexiang Li; Jiawei Chen 009; Dong Wei 004; Yanchun Zhu; Jianrong Wu; Junfeng Xiong; Yadong Gang; Wenbo Sun; Haibo Xu; Tianyi Qian; Kai Ma 002; Yefeng Zheng 001 (IEEE J. Biomed. Health Informatics, 2022)

Understanding Patient Query With Weak Supervision From Doctor Response. - Xiaoming Shi; Sendong Zhao; Yuxuan Wang 001; Xi Chen 003; Ziheng Zhang; Yefeng Zheng 001; Wanxiang Che (IEEE J. Biomed. Health Informatics, 2022)

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. - Zhe Xu; Yixin Wang 003; Donghuan Lu; Lequan Yu; Jiangpeng Yan; Jie Luo 003; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (IEEE J. Biomed. Health Informatics, 2022)

Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. - Cheng Bian; Chenglang Yuan; Kai Ma 002; Shuang Yu; Dong Wei 004; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2022)

Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint. - Jiawei Chen 009; Ziqi Zhang; Xinpeng Xie; Yuexiang Li; Tao Xu; Kai Ma 002; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2022)

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. - Zeyu Gao 001; Chang Jia; Yang Li 139; Xianli Zhang; Bangyang Hong; Jialun Wu; Tieliang Gong; Chunbao Wang 002; Deyu Meng; Yefeng Zheng 001; Chen Li 011 (IEEE Trans. Medical Imaging, 2022)

Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation. - Xiaoting Han; Lei Qi 001; Qian Yu; Ziqi Zhou; Yefeng Zheng 001; Yinghuan Shi; Yang Gao 001 (IEEE Trans. Medical Imaging, 2022)

Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation. - Yinghuan Shi; Jian Zhang 018; Tong Ling; Jiwen Lu; Yefeng Zheng 001; Qian Yu; Lei Qi 001; Yang Gao 001 (IEEE Trans. Medical Imaging, 2022)

DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images. - Hong Wang 021; Yuexiang Li; Nanjun He; Kai Ma 002; Deyu Meng; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2022)

Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. - Zhe Xu; Donghuan Lu; Jie Luo 003; Yixin Wang 003; Jiangpeng Yan; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (IEEE Trans. Medical Imaging, 2022)

ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. - Huimin Huang 002; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Hong Wang 021; Yuexiang Li; Yawen Huang; Yefeng Zheng 001 (AAAI, 2023)

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. - Hong Liu; Dong Wei 004; Donghuan Lu; Jinghan Sun; Liansheng Wang; Yefeng Zheng 001 (AAAI, 2023)

Combating Mode Collapse via Offline Manifold Entropy Estimation. - Haozhe Liu; Bing Li 024; Haoqian Wu; Hanbang Liang; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (AAAI, 2023)

Identify Event Causality with Knowledge and Analogy. - Sifan Wu; Ruihui Zhao; Yefeng Zheng 001; Jian Pei 001; Bang Liu (AAAI, 2023)

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. - Sheng Xiang; Mingzhi Zhu; Dawei Cheng; Enxia Li; Ruihui Zhao; Yi Ouyang; Ling Chen 006; Yefeng Zheng 001 (AAAI, 2023)

CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. - Huimin Wang; Wai-Chung Kwan; Kam-Fai Wong; Yefeng Zheng 001 (ACL (1), 2023)

CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset. - Hanchong Zhang; Jieyu Li; Lu Chen 002; Ruisheng Cao; Yunyan Zhang; Yu Huang; Yefeng Zheng 001; Kai Yu 004 (ACL (Findings), 2023)

SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation. - Huimin Huang 002; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Yuexiang Li; Hong Wang 021; Yawen Huang; Yefeng Zheng 001 (CVPR, 2023)

AdaptiveMix: Improving GAN Training via Feature Space Shrinkage. - Haozhe Liu; Wentian Zhang; Bing Li 024; Haoqian Wu; Nanjun He; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (CVPR, 2023)

Interactive Segmentation as Gaussian Process Classification. - Minghao Zhou; Hong Wang 021; Qian Zhao 002; Yuexiang Li; Yawen Huang; Deyu Meng; Yefeng Zheng 001 (CVPR, 2023)

Cross-Modal Contrastive Learning for Event Extraction. - Shuo Wang 008; Meizhi Ju; Yunyan Zhang; Yefeng Zheng 001; Meng Wang 001; Guilin Qi (DASFAA (3), 2023)

ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification. - Wangjie Jiang; Zhihao Ye; Bang Liu; Ruihui Zhao; Jianguang Zheng; Mengyao Li; Zhiyong Li 001; Yujiu Yang; Yefeng Zheng 001 (EACL (Findings), 2023)

Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation. - Lei Gao; Xinnan Zhang; Xian Wu 001; Shen Ge; Yefeng Zheng 001 (EMNLP (Findings), 2023)

Relation-aware Ensemble Learning for Knowledge Graph Embedding. - Ling Yue; Yongqi Zhang; Quanming Yao; Yong Li 008; Xian Wu 001; Ziheng Zhang; Zhenxi Lin; Yefeng Zheng 001 (EMNLP, 2023)

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. - Peng Tu; Xu Xie; Guo Ai; Yuexiang Li; Yawen Huang; Yefeng Zheng 001 (ICCV, 2023)

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. - Jinheng Xie; Yuexiang Li; Yawen Huang; Haozhe Liu; Wentian Zhang; Yefeng Zheng 001; Mike Zheng Shou (ICCV, 2023)

Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. - Jiacheng Ma 006; Fan Li 016; Rui Zhang; Zhikang Xu; Dawei Cheng; Yi Ouyang; Ruihui Zhao; Jianguang Zheng; Yefeng Zheng 001; Changjun Jiang (IJCAI, 2023)

RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. - Lianyu Zhou; Dong Wei 004; Donghuan Lu; Wei Xue; Liansheng Wang; Yefeng Zheng 001 (ISBI, 2023)

You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. - Jinghan Sun; Dong Wei 004; Zhe Xu; Donghuan Lu; Hong Liu; Liansheng Wang; Yefeng Zheng 001 (MICCAI (1), 2023)

MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. - Hong Wang 021; Minghao Zhou; Dong Wei 004; Yuexiang Li; Yefeng Zheng 001 (MICCAI (10), 2023)

Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. - Zhe Xu; Donghuan Lu; Jiangpeng Yan; Jinghan Sun; Jie Luo 003; Dong Wei 004; Sarah F. Frisken; Quanzheng Li; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (4), 2023)

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. - Zhe Xu; Jiangpeng Yan; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (7), 2023)

A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images. - Yinghao Zhang; Donghuan Lu; Munan Ning; Liansheng Wang; Dong Wei 004; Yefeng Zheng 001 (MICCAI (3), 2023)

Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation. - Huimin Huang 002; Yawen Huang; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Yuexiang Li; Yefeng Zheng 001 (ACM Multimedia, 2023)

Learning Visual Prior via Generative Pre-Training. - Jinheng Xie; Kai Ye 004; Yudong Li 001; Yuexiang Li; Kevin Qinghong Lin; Yefeng Zheng 001; Linlin Shen; Mike Zheng Shou (NeurIPS, 2023)

Dynamically Masked Discriminator for GANs. - Wentian Zhang; Haozhe Liu; Bing Li 024; Jinheng Xie; Yawen Huang; Yuexiang Li; Yefeng Zheng 001; Bernard Ghanem (NeurIPS, 2023)

Distributionally Robust Sequential Recommnedation. - Rui Zhou; Xian Wu 001; Zhaopeng Qiu; Yefeng Zheng 001; Xu Chen 017 (SIGIR, 2023)

Exploring Social Media for Early Detection of Depression in COVID-19 Patients. - Jiageng Wu; Xian Wu 001; Yining Hua; Shixu Lin; Yefeng Zheng 001; Jie Yang 039 (WWW, 2023)

A New Perspective to Boost Vision Transformer for Medical Image Classification. - Yuexiang Li; Yawen Huang; Nanjun He; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2023)

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. - Peng Tu; Xu Xie; Ming Ling; Min Yang; Guo Ai; Yawen Huang; Yefeng Zheng 001 (CoRR, 2023)

Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan. - Meng Zhao; Yifan Hu; Ruixuan Jiang; Yuanli Zhao; Dong Zhang; Yan Zhang 031; Rong Wang; Yong Cao; Qian Zhang; Yonggang Ma; Jiaxi Li; Shaochen Yu; et al. (CoRR, 2023)

Improving GAN Training via Feature Space Shrinkage. - Haozhe Liu; Wentian Zhang; Bing Li 024; Haoqian Wu; Nanjun He; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (CoRR, 2023)

Qualifying Chinese Medical Licensing Examination with Knowledge Enhanced Generative Pre-training Model. - Jiageng Wu; Xian Wu 001; Zhaopeng Qiu; Minghui Li; Yefeng Zheng 001; Jie Yang 039 (CoRR, 2023)

VisorGPT: Learning Visual Prior via Generative Pre-Training. - Jinheng Xie; Kai Ye 004; Yudong Li 001; Yuexiang Li; Kevin Qinghong Lin; Yefeng Zheng 001; Linlin Shen; Mike Zheng Shou (CoRR, 2023)

Cross-Modal Vertical Federated Learning for MRI Reconstruction. - Yunlu Yan; Hong Wang 021; Yawen Huang; Nanjun He; Lei Zhu 002; Yuexiang Li; Yong Xu 001; Yefeng Zheng 001 (CoRR, 2023)

Dynamically Masked Discriminator for Generative Adversarial Networks. - Wentian Zhang; Haozhe Liu; Bing Li 024; Jinheng Xie; Yawen Huang; Yuexiang Li; Yefeng Zheng 001; Bernard Ghanem (CoRR, 2023)

K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment. - Jinbao Wang; Guoyang Xie; Yawen Huang; Jiayi Lyu; Feng Zheng; Yefeng Zheng 001; Yaochu Jin (CoRR, 2023)

Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG. - Xueming Fu; Hao Zheng 008; Luyan Liu; Wenjuan Zhong; Haowen Liu; Wenxuan Xiong; Yuyang Zhang; Yifeng Chen; Dong Wei 004; Mingjie Dong; Yefeng Zheng 001; Mingming Zhang 001 (CoRR, 2023)

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning. - Wai-Chung Kwan; Huimin Wang; Hongru Wang 003; Zezhong Wang 004; Xian Wu 001; Yefeng Zheng 001; Kam-Fai Wong (CoRR, 2023)

Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views. - Dong Wei 004; Yawen Huang; Donghuan Lu; Yuexiang Li; Yefeng Zheng 001 (CoRR, 2023)

MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications. - Qidong Liu 002; Xian Wu 001; Xiangyu Zhao 001; Yuanshao Zhu; Derong Xu; Feng Tian 002; Yefeng Zheng 001 (CoRR, 2023)

Large Language Models for Generative Information Extraction: A Survey. - Derong Xu; Wei Chen 156; Wenjun Peng; Chao Zhang; Tong Xu 001; Xiangyu Zhao 001; Xian Wu 001; Yefeng Zheng 001; Enhong Chen (CoRR, 2023)

FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis. - Jinbao Wang; Guoyang Xie; Yawen Huang; Jiayi Lyu; Feng Zheng; Yefeng Zheng 001; Yaochu Jin (Neurocomputing, 2023)

Editorial for the MEDIA MICCAI special issue 2021. - Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng 001; Caroline Essert (Medical Image Anal., 2023)

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. - Zeyu Gao 001; Bangyang Hong; Yang Li 139; Xianli Zhang; Jialun Wu; Chunbao Wang 002; Xiangrong Zhang; Tieliang Gong; Yefeng Zheng 001; Deyu Meng; Chen Li 011 (Medical Image Anal., 2023)

Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network. - Yongqi Zhang; Quanming Yao; Ling Yue; Xian Wu 001; Ziheng Zhang; Zhenxi Lin; Yefeng Zheng 001 (Nat. Comput. Sci., 2023)

A medical multimodal large language model for future pandemics. - Fenglin Liu; Tingting Zhu 001; Xian Wu 001; Bang Yang; Chenyu You; Chenyang Wang; Lei Lu; Zhangdaihong Liu; Yefeng Zheng 001; Xu Sun 001; Yang Yang 125; Lei A. Clifton; et al. (npj Digit. Medicine, 2023)

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. - Zeyu Gao 001; Anyu Mao; Kefei Wu; Yang Li 139; Liebin Zhao; Xianli Zhang; Jialun Wu; Lisha Yu; Chao Xing; Tieliang Gong; Yefeng Zheng 001; Deyu Meng; et al. (IEEE Trans. Medical Imaging, 2023)

Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation. - Hexiang Zhou; Yawen Huang; Yuexiang Li; Yi Zhou 007; Yefeng Zheng 001 (IEEE J. Biomed. Health Informatics, 2023)

InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images. - Hong Wang 021; Yuexiang Li; Haimiao Zhang; Deyu Meng; Yefeng Zheng 001 (Medical Image Anal., 2023)

Probing the Impacts of Visual Context in Multimodal Entity Alignment. - Meng Wang; Yinghui Shi; Han Yang; Ziheng Zhang; Zhenxi Lin; Yefeng Zheng 001 (Data Sci. Eng., 2023)

Learning from multiple annotators for medical image segmentation. - Le Zhang 005; Ryutaro Tanno; Moucheng Xu; Yawen Huang; Kevin Bronik; Chen Jin; Joseph Jacob; Yefeng Zheng 001; Ling Shao 001; Olga Ciccarelli; Frederik Barkhof; Daniel C. Alexander (Pattern Recognit., 2023)

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. - Zhe Xu; Yixin Wang 003; Donghuan Lu; Xiangde Luo; Jiangpeng Yan; Yefeng Zheng 001; Raymond Kai-Yu Tong (Medical Image Anal., 2023)

S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. - Jingyang Zhang; Ran Gu; Peng Xue; Mianxin Liu; Hao Zheng 008; Yefeng Zheng 001; Lei Ma 006; Guotai Wang; Lixu Gu (IEEE Trans. Medical Imaging, 2023)

Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training. - Yi Lin 009; Zhiyong Qu; Hao Chen 011; Zhongke Gao; Yuexiang Li; Lili Xia; Kai Ma 002; Yefeng Zheng 001; Kwang-Ting Cheng (Medical Image Anal., 2023)

A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. - Jiangbo Shi; Lufei Tang; Yang Li 139; Xianli Zhang; Zeyu Gao 001; Yefeng Zheng 001; Chunbao Wang 002; Tieliang Gong; Chen Li 011 (IEEE Trans. Medical Imaging, 2023)

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. - Munan Ning; Donghuan Lu; Yujia Xie; Dongdong Chen 001; Dong Wei 004; Yefeng Zheng 001; Yonghong Tian 001; Shuicheng Yan; Li Yuan 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MIL-ViT: A multiple instance vision transformer for fundus image classification. - Qi Bi; Xu Sun 006; Shuang Yu; Kai Ma 002; Cheng Bian; Munan Ning; Nanjun He; Yawen Huang; Yuexiang Li; Hanruo Liu; Yefeng Zheng 001 (J. Vis. Commun. Image Represent., 2023)

A deep weakly semi-supervised framework for endoscopic lesion segmentation. - Yuxuan Shi; Hong Wang 021; Haoqin Ji; Haozhe Liu; Yuexiang Li; Nanjun He; Dong Wei 004; Yawen Huang; Qi Dai; Jianrong Wu; Xinrong Chen; Yefeng Zheng 001; et al. (Medical Image Anal., 2023)

Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage. - Bo Liu 095; Donghuan Lu; Dong Wei 004; Xian Wu 001; Yan Wang 015; Yu Zhang 185; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2023)

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. - Qi Bi; Jingjun Yi; Hao Zheng 008; Wei Ji 011; Yawen Huang; Yuexiang Li; Yefeng Zheng 001 (AAAI, 2024)

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal. - Yi Cheng; Wenge Liu; Jian Wang 054; Chak Tou Leong; Yi Ouyang; Wenjie Li 002; Xian Wu 001; Yefeng Zheng 001 (AAAI, 2024)

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. - Qian Dai; Dong Wei 004; Hong Liu; Jinghan Sun; Liansheng Wang; Yefeng Zheng 001 (AAAI, 2024)

Federated Learning via Input-Output Collaborative Distillation. - Xuan Gong; Shanglin Li; Yuxiang Bao; Barry Yao; Yawen Huang; Ziyan Wu 001; Baochang Zhang 001; Yefeng Zheng 001; David S. Doermann (AAAI, 2024)

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. - Huimin Huang 002; Yawen Huang; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Yuexiang Li; Yefeng Zheng 001 (AAAI, 2024)

Pre-trained Online Contrastive Learning for Insurance Fraud Detection. - Rui Zhang; Dawei Cheng; Jie Yang 039; Yi Ouyang; Xian Wu 001; Yefeng Zheng 001; Changjun Jiang (AAAI, 2024)

imapScore: Medical Fact Evaluation Made Easy. - Huimin Wang; Yutian Zhao; Xian Wu 001; Yefeng Zheng 001 (ACL (Findings), 2024)

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. - Derong Xu; Ziheng Zhang; Zhihong Zhu; Zhenxi Lin; Qidong Liu 002; Xian Wu 001; Tong Xu 001; Wanyu Wang; Yuyang Ye 002; Xiangyu Zhao 001; Enhong Chen; Yefeng Zheng 001 (CIKM, 2024)

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning. - Wai-Chung Kwan; Huimin Wang; Hongru Wang 003; Zezhong Wang 004; Bin Liang 004; Xian Wu 001; Yefeng Zheng 001; Kam-Fai Wong (LREC/COLING, 2024)

Biomedical Entity Linking as Multiple Choice Question Answering. - Zhenxi Lin; Ziheng Zhang; Xian Wu 001; Yefeng Zheng 001 (LREC/COLING, 2024)

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. - Derong Xu; Ziheng Zhang; Zhenxi Lin; Xian Wu 001; Zhihong Zhu; Tong Xu 001; Xiangyu Zhao 001; Yefeng Zheng 001; Enhong Chen (LREC/COLING, 2024)

Knowledge-aware Attention Network for Medication Effectiveness Prediction. - Yingying Zhang; Xian Wu 001; Yu Zhang 185; Yefeng Zheng 001 (LREC/COLING, 2024)

MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis. - Yutian Zhao; Huimin Wang; Xian Wu 001; Yefeng Zheng 001 (LREC/COLING, 2024)

Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics. - Zhihong Zhu; Yunyan Zhang; Xuxin Cheng; Zhiqi Huang 001; Derong Xu; Xian Wu 001; Yefeng Zheng 001 (LREC/COLING, 2024)

Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models. - Huimin Huang 002; Yawen Huang; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Hao Zheng 008; Yuexiang Li; Yefeng Zheng 001 (CVPR, 2024)

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. - Jiangbo Shi; Chen Li 011; Tieliang Gong; Yefeng Zheng 001; Huazhu Fu (CVPR, 2024)

Tune-an-Ellipse: CLIP Has Potential to Find what you Want. - Jinheng Xie; Songhe Deng; Bing Li 024; Haozhe Liu; Yawen Huang; Yefeng Zheng 001; Jürgen Schmidhuber; Bernard Ghanem; Linlin Shen; Mike Zheng Shou (CVPR, 2024)

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding. - Derong Xu; Ziheng Zhang; Zhihong Zhu; Zhenxi Lin; Qidong Liu 002; Xian Wu 001; Tong Xu 001; Xiangyu Zhao 001; Yefeng Zheng 001; Enhong Chen (EMNLP (Findings), 2024)

Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models. - Yutian Zhao; Huimin Wang; Yuqi Liu; Suhuang Wu; Xian Wu 001; Yefeng Zheng 001 (EMNLP (Findings), 2024)

DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection. - Zhihong Zhu; Kefan Shen; Zhaorun Chen; Yunyan Zhang; Yuyan Chen; Xiaoqi Jiao; Zhongwei Wan; Shaorong Xie; Wei Liu 027; Xian Wu 001; Yefeng Zheng 001 (EMNLP, 2024)

Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification. - Qi Bi; Hao Zheng 008; Xu Sun 006; Jingjun Yi; Wentian Zhang; Yawen Huang; Yuexiang Li; Yefeng Zheng 001 (ICASSP, 2024)

Improving Biomedical Entity Linking with Retrieval-Enhanced Learning. - Zhenxi Lin; Ziheng Zhang; Xian Wu 001; Yefeng Zheng 001 (ICASSP, 2024)

Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization. - Yichen Wu; Hong Wang 021; Peilin Zhao; Yefeng Zheng 001; Ying Wei 001; Long-Kai Huang (ICML, 2024)

Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach. - Jiasheng Wu; Xin Liu; Dawei Cheng; Yi Ouyang; Xian Wu 001; Yefeng Zheng 001 (IJCAI, 2024)

TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing. - Zhihong Zhu; Xianwei Zhuang; Yunyan Zhang; Derong Xu; Guimin Hu; Xian Wu 001; Yefeng Zheng 001 (IJCAI, 2024)

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets. - Hong Liu; Dong Wei 004; Donghuan Lu; Jinghan Sun; Hao Zheng 008; Yefeng Zheng 001; Liansheng Wang (MICCAI (9), 2024)

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. - Conghao Xiong; Hao Chen 011; Hao Zheng 008; Dong Wei 004; Yefeng Zheng 001; Joseph J. Y. Sung; Irwin King (MICCAI (4), 2024)

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. - Conghao Xiong; Yi Lin 009; Hao Chen 011; Hao Zheng 008; Dong Wei 004; Yefeng Zheng 001; Joseph J. Y. Sung; Irwin King (MICCAI (4), 2024)

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. - Zhe Xu; Cheng Chen 013; Donghuan Lu; Jinghan Sun; Dong Wei 004; Yefeng Zheng 001; Quanzheng Li; Raymond Kai-Yu Tong (MICCAI (8), 2024)

Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation. - Jingjun Yi; Qi Bi; Hao Zheng 008; Haolan Zhan; Wei Ji 011; Yawen Huang; Shaoxin Li 001; Yuexiang Li; Yefeng Zheng 001; Feiyue Huang (MICCAI (10), 2024)

Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation. - Zhihong Zhu; Xuxin Cheng; Yunyan Zhang; Zhaorun Chen; Qingqing Long; Hongxiang Li; Zhiqi Huang 001; Xian Wu 001; Yefeng Zheng 001 (MICCAI (3), 2024)

Aspects are Anchors: Towards Multimodal Aspect-based Sentiment Analysis via Aspect-driven Alignment and Refinement. - Zhanpeng Chen; Zhihong Zhu; Wanshi Xu; Yunyan Zhang; Xian Wu 001; Yefeng Zheng 001 (ACM Multimedia, 2024)

Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation. - Jingjun Yi; Qi Bi; Hao Zheng 008; Haolan Zhan; Wei Ji 011; Yawen Huang; Yuexiang Li; Yefeng Zheng 001 (ACM Multimedia, 2024)

InMu-Net: Advancing Multi-modal Intent Detection via Information Bottleneck and Multi-sensory Processing. - Zhihong Zhu; Xuxin Cheng; Zhaorun Chen; Yuyan Chen; Yunyan Zhang; Xian Wu 001; Yefeng Zheng 001; Bowen Xing (ACM Multimedia, 2024)

MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey. - Xian Wu 001; Yutian Zhao; Yunyan Zhang; Jiageng Wu; Zhihong Zhu; Yingying Zhang; Yi Ouyang; Ziheng Zhang; Huimin Wang; Zhenxi Lin; Jie Yang 039; Shuang Zhao; et al. (NeurIPS, 2024)

Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading. - Qi Bi; Jingjun Yi; Hao Zheng 008; Wei Ji 011; Haolan Zhan; Yawen Huang; Yuexiang Li; Yefeng Zheng 001 (NeurIPS, 2024)

Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation. - Qi Bi; Jingjun Yi; Hao Zheng 008; Haolan Zhan; Yawen Huang; Wei Ji 011; Yuexiang Li; Yefeng Zheng 001 (NeurIPS, 2024)

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation. - Qidong Liu 002; Xian Wu 001; Yejing Wang; Zijian Zhang 009; Feng Tian 002; Yefeng Zheng 001; Xiangyu Zhao 001 (NeurIPS, 2024)

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications. - Qidong Liu 002; Xian Wu 001; Xiangyu Zhao 001; Yuanshao Zhu; Derong Xu; Feng Tian 002; Yefeng Zheng 001 (SIGIR, 2024)

Causally Debiased Time-aware Recommendation. - Lei Wang 198; Chen Ma 001; Xian Wu 001; Zhaopeng Qiu; Yefeng Zheng 001; Xu Chen 017 (WWW, 2024)

GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph. - Xi Sheryl Zhang; Weifan Guan; Jiahao Lu; Zhaopeng Qiu; Jian Cheng 001; Xian Wu 001; Yefeng Zheng 001 (WWW, 2024)

Triplet-branch network with contrastive prior-knowledge embedding for disease grading. - Yuexiang Li; Yanping Wang; Guang Lin; Yawen Huang; Jingxin Liu; Yi Lin 009; Dong Wei 004; Qirui Zhang 004; Kai Ma 002; Zhiqiang Zhang; Guangming Lu 001; Yefeng Zheng 001 (Artif. Intell. Medicine, 2024)

A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram. - Ziqiang Wang; Kun Wang 042; Xiaozhong Chen; Yefeng Zheng 001; Xian Wu 001 (Biomed. Signal Process. Control., 2024)

ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields. - Xingyu Miao; Yang Bai; Haoran Duan 001; Fan Wan; Yawen Huang; Yang Long 001; Yefeng Zheng 001 (CoRR, 2024)

Large Language Model Distilling Medication Recommendation Model. - Qidong Liu 002; Xian Wu 001; Xiangyu Zhao 001; Yuanshao Zhu; Zijian Zhang 009; Feng Tian 002; Yefeng Zheng 001 (CoRR, 2024)

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. - Derong Xu; Ziheng Zhang; Zhihong Zhu; Zhenxi Lin; Qidong Liu 002; Xian Wu 001; Tong Xu 001; Xiangyu Zhao 001; Yefeng Zheng 001; Enhong Chen (CoRR, 2024)

MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding. - Jiageng Wu; Xian Wu 001; Yefeng Zheng 001; Jie Yang 039 (CoRR, 2024)

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection. - Rui Zhang; Dawei Cheng; Xin Liu; Jie Yang 039; Yi Ouyang; Xian Wu 001; Yefeng Zheng 001 (CoRR, 2024)

NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization. - Peng Tu; Xun Zhou; Mingming Wang; Xiaojun Yang; Bo Peng; Ping Chen; Xiu Su; Yawen Huang; Yefeng Zheng 001; Chang Xu 002 (CoRR, 2024)

Learning Long-form Video Prior via Generative Pre-Training. - Jinheng Xie; Jiajun Feng; Zhaoxu Tian; Kevin Qinghong Lin; Yawen Huang; Xi Xia; Nanxu Gong; Xu Zuo; Jiaqi Yang; Yefeng Zheng 001; Mike Zheng Shou (CoRR, 2024)

AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. - Jie Hu; Yawen Huang; Yilin Lu; Guoyang Xie; Guannan Jiang; Yefeng Zheng 001; Zhichao Lu (CoRR, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item. - Qidong Liu 002; Xian Wu 001; Xiangyu Zhao 001; Yejing Wang; Zijian Zhang 009; Feng Tian 002; Yefeng Zheng 001 (CoRR, 2024)

Evolving to be Your Soulmate: Personalized Dialogue Agents with Dynamically Adapted Personas. - Yi Cheng; Wenge Liu; Kaishuai Xu; Wenjun Hou; Yi Ouyang; Chak Tou Leong; Xian Wu 001; Yefeng Zheng 001 (CoRR, 2024)

A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling. - Minghao Zhou; Hong Wang 021; Yefeng Zheng 001; Deyu Meng (CoRR, 2024)

Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation. - Jingjun Yi; Qi Bi; Hao Zheng 008; Haolan Zhan; Wei Ji 011; Yawen Huang; Yuexiang Li; Yefeng Zheng 001 (CoRR, 2024)

Large Language Model Empowered Embedding Generator for Sequential Recommendation. - Qidong Liu 002; Xian Wu 001; Wanyu Wang; Yejing Wang; Yuanshao Zhu; Xiangyu Zhao 001; Feng Tian 002; Yefeng Zheng 001 (CoRR, 2024)

PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation. - Chuyan Zhang; Hao Zheng 008; Xin You; Yefeng Zheng 001; Yun Gu (CoRR, 2024)

URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction. - Jie Song 014; Yue Sun; Ziyun Cai; Liang Xiao 001; Yawen Huang; Yefeng Zheng 001 (CoRR, 2024)

Unraveling Complexity: An Exploration Into Large-Scale Multimodal Signal Processing. - Zhenyu Wen; Yuheng Ye; Jie Su 001; Taotao Li; Jinhao Wan; Shilian Zheng; Zhen Hong; Shibo He; Haoran Duan 001; Yuexiang Li; Yawen Huang; Yefeng Zheng 001 (IEEE Intell. Syst., 2024)

Wearable-based behaviour interpolation for semi-supervised human activity recognition. - Haoran Duan 001; Shidong Wang; Varun Ojha 001; Shizheng Wang; Yawen Huang; Yang Long 001; Rajiv Ranjan 001; Yefeng Zheng 001 (Inf. Sci., 2024)

Large language models leverage external knowledge to extend clinical insight beyond language boundaries. - Jiageng Wu; Xian Wu 001; Zhaopeng Qiu; Minghui Li; Shixu Lin; Yingying Zhang; Yefeng Zheng 001; Changzheng Yuan; Jie Yang 039 (J. Am. Medical Informatics Assoc., 2024)

Improving vision transformer for medical image classification via token-wise perturbation. - Yuexiang Li; Yawen Huang; Nanjun He; Kai Ma 002; Yefeng Zheng 001 (J. Vis. Commun. Image Represent., 2024)

Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction. - Jinghan Sun; Dong Wei 004; Liansheng Wang; Yefeng Zheng 001 (Medical Image Anal., 2024)

Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data. - Zhe Xu; Donghuan Lu; Jie Luo 003; Yefeng Zheng 001; Raymond Kai-Yu Tong (Medical Image Anal., 2024)

Self-supervised learning for medical image data with anatomy-oriented imaging planes. - Tianwei Zhang; Dong Wei 004; Mengmeng Zhua; Shi Gu; Yefeng Zheng 001 (Medical Image Anal., 2024)

CTNeRF: Cross-time Transformer for dynamic neural radiance field from monocular video. - Xingyu Miao; Yang Bai; Haoran Duan 001; Fan Wan; Yawen Huang; Yang Long 001; Yefeng Zheng 001 (Pattern Recognit., 2024)

Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis. - Chuyan Zhang; Yuncheng Yang; Hao Zheng 008; Yawen Huang; Yefeng Zheng 001; Yun Gu (Pattern Recognit., 2024)

Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship. - Quanziang Wang; Renzhen Wang; Yuexiang Li; Dong Wei 004; Hong Wang 021; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (IEEE Trans. Multim., 2024)

Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations. - Hong Liu; Dong Wei 004; Donghuan Lu; Xiaoying Tang 001; Liansheng Wang; Yefeng Zheng 001 (Medical Image Anal., 2024)

OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning. - Hong Wang 021; Qi Xie; Dong Zeng; Jianhua Ma 001; Deyu Meng; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2024)

Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training. - Qingsong Xie; Yuexiang Li; Nanjun He; Munan Ning; Kai Ma 002; Guoxing Wang; Yong Lian 001; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2024)

MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning. - Feiyang Yang; Xiongfei Li; Haoran Duan 001; Feilong Xu; Yawen Huang; Xiaoli Zhang 001; Yang Long 001; Yefeng Zheng 001 (IEEE J. Biomed. Health Informatics, 2024)

Prototypical Graph Contrastive Learning. - Shuai Lin; Chen Liu; Pan Zhou 002; Zi-Yuan Hu; Shuojia Wang; Ruihui Zhao; Yefeng Zheng 001; Liang Lin; Eric P. Xing; Xiaodan Liang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cross-modality Neuroimage Synthesis: A Survey. - Guoyang Xie; Yawen Huang; Jin-Bao Wang; Jiayi Lyu; Feng Zheng; Yefeng Zheng 001; Yaochu Jin (ACM Comput. Surv., 2024)

Attention Cycle-consistent universal network for More Universal Domain Adaptation. - Ziyun Cai; Yawen Huang; Tengfei Zhang 001; Xiao-Yuan Jing; Yefeng Zheng 001; Ling Shao 001 (Pattern Recognit., 2024)

Anomaly detection via gating highway connection for retinal fundus images. - Wentian Zhang; Haozhe Liu; Jinheng Xie; Yawen Huang; Yu Zhang 185; Yuexiang Li; Raghavendra Ramachandra; Yefeng Zheng 001 (Pattern Recognit., 2024)

DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume. - Xingyu Miao; Yang Bai; Haoran Duan 001; Yawen Huang; Fan Wan; Xinxing Xu; Yang Long 001; Yefeng Zheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Adversarial Medical Image With Hierarchical Feature Hiding. - Qingsong Yao; Zecheng He; Yuexiang Li; Yi Lin 009; Kai Ma 002; Yefeng Zheng 001; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2024)

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. - Hong Wang 021; Qi Xie; Qian Zhao 002; Yuexiang Li; Yong Liang 001; Yefeng Zheng 001; Deyu Meng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Distributional Fairness-aware Recommendation. - Hao Yang; Xian Wu 001; Zhaopeng Qiu; Yefeng Zheng 001; Xu Chen 017 (ACM Trans. Inf. Syst., 2024)

LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction. - Yi Lin 009; Yanfei Liu; Hao Chen 011; Xin Yang 008; Kai Ma 002; Yefeng Zheng 001; Kwang-Ting Cheng (IEEE Trans. Cybern., 2024)

Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. - Yawen Huang; Hao Zheng 008; Yuexiang Li; Feng Zheng; Xiantong Zhen; Guo-Jun Qi; Ling Shao 001; Yefeng Zheng 001 (Int. J. Comput. Vis., 2024)

Cross-Modal Vertical Federated Learning for MRI Reconstruction. - Yunlu Yan; Hong Wang 021; Yawen Huang; Nanjun He; Lei Zhu 003; Yong Xu 001; Yuexiang Li; Yefeng Zheng 001 (IEEE J. Biomed. Health Informatics, 2024)

Prototype Correlation Matching and Class- Relation Reasoning for Few-Shot Medical Image Segmentation. - Yumin Zhang; Hongliu Li; Yajun Gao; Haoran Duan 001; Yawen Huang; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2024)

Large language models for generative information extraction: a survey. - Derong Xu; Wei Chen 156; Wenjun Peng; Chao Zhang; Tong Xu 001; Xiangyu Zhao 001; Xian Wu 001; Yefeng Zheng 001; Yang Wang 001; Enhong Chen (Frontiers Comput. Sci., 2024)

Acquiring New Knowledge Without Losing Old Ones for Effective Continual Dialogue Policy Learning. - Huimin Wang; Yunyan Zhang; Yifan Yang 008; Yefeng Zheng 001; Kam-Fai Wong (IEEE Trans. Knowl. Data Eng., 2024)

An Organ-Aware Diagnosis Framework for Radiology Report Generation. - Shiyu Li; Pengchong Qiao; Lin Wang 026; Munan Ning; Li Yuan 007; Yefeng Zheng 001; Jie Chen 001 (IEEE Trans. Medical Imaging, 2024)

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation. - Qidong Liu 002; Xian Wu 001; Wanyu Wang; Yejing Wang; Yuanshao Zhu; Xiangyu Zhao 001; Feng Tian 002; Yefeng Zheng 001 (AAAI, 2025)

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs. - Yimin Deng; Yuxia Wu; Yejing Wang; Guoshuai Zhao; Li Zhu 003; Qidong Liu 002; Derong Xu; Zichuan Fu; Xian Wu 001; Yefeng Zheng 001; Xiangyu Zhao 001; Xueming Qian (ACL (Findings), 2025)

Training-free LLM Merging for Multi-task Learning. - Zichuan Fu; Xian Wu 001; Yejing Wang; Wanyu Wang; Shanshan Ye; Hongzhi Yin; Yi Chang 001; Yefeng Zheng 001; Xiangyu Zhao 001 (ACL (1), 2025)

A Survey on Foundation Language Models for Single-cell Biology. - Fan Zhang; Hao Chen 011; Zhihong Zhu; Ziheng Zhang; Zhenxi Lin; Ziyue Qiao; Yefeng Zheng 001; Xian Wu 001 (ACL (1), 2025)

Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models. - Zhihong Zhu; Yunyan Zhang; Xianwei Zhuang; Fan Zhang; Zhongwei Wan; Yuyan Chen; Qingqing Long; Yefeng Zheng 001; Xian Wu 001 (ACL (Findings), 2025)

Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs. - Suhuang Wu; Huimin Wang; Yutian Zhao; Xian Wu 001; Yefeng Zheng 001; Wei Li; Hui Li; Rongrong Ji (COLING, 2025)

NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results. - Xin Li 082; Yeying Jin; Xin Jin; Zongwei Wu; Bingchen Li; Yufei Wang; Wenhan Yang; Yu Li; Zhibo Chen 001; Bihan Wen; Robby T. Tan; Radu Timofte; et al. (CVPR Workshops, 2025)

NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation. - Qi Bi; Jingjun Yi; Huimin Huang 002; Hao Zheng 008; Haolan Zhan; Yawen Huang; Yuexiang Li; Xian Wu 001; Yefeng Zheng 001 (CVPR, 2025)

Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation. - Hong Liu; Dong Wei 004; Qiong Peng; Yawen Huang; Xian Wu 001; Yefeng Zheng 001; Liansheng Wang (IPMI (2), 2025)

Braineditor: Structure-Disentangled Brain MRI Synthesis via Natural Language Prompted Diffusion Image Editing. - Jialin Li; Dong Wei 004; Jiaming Qiu; Yiwei Ren; Pujin Cheng; Junyan Lyu; Terry Tao Ye; Yefeng Zheng 001; Xiaoying Tang 001 (ISBI, 2025)

A Layered Debating Multi-Agent System for Similar Disease Diagnosis. - Yutian Zhao; Huimin Wang; Yefeng Zheng 001; Xian Wu 001 (NAACL (Short Papers), 2025)

How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs. - Ziheng Zhang; Zhenxi Lin; Yefeng Zheng 001; Xian Wu 001 (WWW, 2025)

A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. - Fenglin Liu; Zheng Li 018; Qingyu Yin; Jinfa Huang; Jiebo Luo 001; Anshul Thakur; Kim Branson 001; Patrick Schwab; Bing Yin; Xian Wu 001; Yefeng Zheng 001; David A. Clifton (npj Digit. Medicine, 2025)

GAD: Domain generalized diabetic retinopathy grading by grade-aware de-stylization. - Qi Bi; Jingjun Yi; Hao Zheng 008; Haolan Zhan; Yawen Huang; Wei Ji 011; Yuexiang Li; Yefeng Zheng 001 (Pattern Recognit., 2025)

Attention-driven acoustic properties learning for underwater target ranging. - Xiaohui Chu; Hantao Zhou; Yan Zhang 109; Yachao Zhang 001; Runze Hu; Haoran Duan 001; Yawen Huang; Yefeng Zheng 001; Rongrong Ji (Pattern Recognit., 2025)

Encoding sampling pattern for robust and generalized MRI reconstruction. - Lina Sun; Hong Wang 021; Qi Xie; Yefeng Zheng 001; Deyu Meng (Pattern Recognit., 2025)

DUSA-UNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction. - Jie Song 014; Yue Sun; Ziyun Cai; Liang Xiao 001; Yawen Huang; Yefeng Zheng 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation. - Zhipeng Deng; Zhe Xu; Tsuyoshi Isshiki; Yefeng Zheng 001 (CoRR, 2025)

The Curse of Depth in Large Language Models. - Wenfang Sun; Xinyuan Song; Pengxiang Li; Lu Yin 006; Yefeng Zheng 001; Shiwei Liu 003 (CoRR, 2025)

Sliding Window Attention Training for Efficient Large Language Models. - Zichuan Fu; Wentao Song; Yejing Wang; Xian Wu 001; Yefeng Zheng 001; Yingying Zhang; Derong Xu; Xuetao Wei; Tong Xu 001; Xiangyu Zhao 001 (CoRR, 2025)

NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results. - Xin Li 082; Yeying Jin; Xin Jin; Zongwei Wu; Bingchen Li; Yufei Wang; Wenhan Yang; Yu Li; Zhibo Chen 001; Bihan Wen; Robby T. Tan; Radu Timofte; et al. (CoRR, 2025)

Progressive Language-guided Visual Learning for Multi-Task Visual Grounding. - Jingchao Wang; Hong Wang 021; Wenlong Zhang; Kunhua Ji; Dingjiang Huang; Yefeng Zheng 001 (CoRR, 2025)

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. - Jinghan Sun; Dong Wei 004; Zhe Xu; Donghuan Lu; Hong Liu; Hong Wang 021; Sotirios A. Tsaftaris; Steven McDonagh 001; Yefeng Zheng 001; Liansheng Wang (IEEE Trans. Medical Imaging, 2025)

PASS: Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation. - Chuyan Zhang; Hao Zheng 008; Xin You; Yefeng Zheng 001; Yun Gu (IEEE Trans. Medical Imaging, 2025)

BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation. - Hongming Wang; Yifeng Wu; Huimin Huang; Hongtao Wu; Jia-Xuan Jiang; Xiaodong Zhang; Hao Zheng 008; Xian Wu 001; Yefeng Zheng 001; Jinping Xu; Jing Cheng (CoRR, 2025)

CellVerse: Do Large Language Models Really Understand Cell Biology? - Fan Zhang; Tianyu Liu; Zhihong Zhu; Hao Wu 094; Haixin Wang 003; Donghao Zhou; Yefeng Zheng 001; Kun Wang 056; Xian Wu 001; Pheng-Ann Heng (CoRR, 2025)

T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering. - Zhengyi Zhao; Shubo Zhang; Zezhong Wang 004; Huimin Wang; Yutian Zhao; Bin Liang 004; Yefeng Zheng 001; Binyang Li; Kam-Fai Wong; Xian Wu 001 (CoRR, 2025)

MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models. - Zhengyi Zhao; Shubo Zhang; Yuxi Zhang; Yanxi Zhao; Yifan Zhang; Zezhong Wang 004; Xiaohui Wang; Yutian Zhao; Bin Liang 004; Yefeng Zheng 001; Binyang Li; Kam-Fai Wong; et al. (CoRR, 2025)

Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens. - Xixian Yong; Xiaofang Zhou 001; Yingying Zhang; Jinlin Li; Yefeng Zheng 001; Xian Wu 001 (CoRR, 2025)

The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models. - Jiashuai Liu; Yingjia Shang; Yingkang Zhan; Di Zhang; Yi Niu; Dong Wei 004; Xian Wu 001; Zeyu Gao 001; Chen Li 011; Yefeng Zheng 001 (CoRR, 2025)

Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting. - Fenglin Liu; Xian Wu 001; Jinfa Huang; Bang Yang; Kim Branson 001; Patrick Schwab; Lei A. Clifton; Ping Zhang 016; Jiebo Luo 001; Yefeng Zheng 001; David A. Clifton (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications. - Jie Su 001; Peng Sun; Yuting Jiang; Zhenyu Wen; Fangda Guo; Yiming Wu; Zhen Hong; Haoran Duan 001; Yawen Huang; Rajiv Ranjan 001; Yefeng Zheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

UniHead: Unifying Multi-Perception for Detection Heads. - Hantao Zhou; Rui Yang 010; Yachao Zhang 001; Haoran Duan 001; Yawen Huang; Runze Hu; Xiu Li 001; Yefeng Zheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective. - Minye Shao; Zeyu Wang 009; Haoran Duan 001; Yawen Huang; Bing Zhai; Shizheng Wang; Yang Long 001; Yefeng Zheng 001 (CoRR, 2025)

IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain. - Hong Huang; Weixiang Sun; Zhijian Wu; Jingwen Niu; Donghuan Lu; Xian Wu 001; Yefeng Zheng 001 (CoRR, 2025)

Model Merging for Knowledge Editing. - Zichuan Fu; Xian Wu 001; Guojing Li; Yingying Zhang; Yefeng Zheng 001; Tianshi Ming; Yejing Wang; Wanyu Wang; Xiangyu Zhao 001 (CoRR, 2025)

SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors. - Zhen Hong; Bowen Wang; Haoran Duan 001; Yawen Huang; Xiong Li; Zhenyu Wen; Xiang Wu; Wei Xiang 001; Yefeng Zheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Adaptive Weighting Based Metal Artifact Reduction in CT Images. - Hong Wang 021; Yichen Wu; Yongbo Wang; Dong Wei 004; Xian Wu 001; Jianhua Ma 001; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2025)

TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency. - Minye Shao; Xingyu Miao; Haoran Duan 001; Zeyu Wang 009; Jingkun Chen; Yawen Huang; Xian Wu 001; Jingjing Deng 001; Yang Long 001; Yefeng Zheng 001 (CoRR, 2025)

Single-Domain Generalization for Multimodal Cross-Cancer Prognosis via Dirac Rebalancer and Distribution Entanglement. - Jiaxuan Jiang 001; Jiashuai Liu; Hongtao Wu; Yifeng Wu; Zhong Wang 006; Qi Bi; Yefeng Zheng 001 (CoRR, 2025)

CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration. - Zheng Wei; Hongtao Wu; Lvmin Zhang; Xian Xu; Yefeng Zheng 001; Pan Hui 001; Maneesh Agrawala; Huamin Qu; Anyi Rao (CoRR, 2025)

Multi-Source Domain Adaptation by Causal-Guided Adaptive Multimodal Diffusion Networks. - Ziyun Cai; Yawen Huang; Tengfei Zhang 001; Yefeng Zheng 001; Dong Yue 001 (Int. J. Comput. Vis., 2025)

Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions. - Yawen Huang; Huimin Huang 002; Hao Zheng 008; Yuexiang Li; Feng Zheng; Xiantong Zhen; Yefeng Zheng 001 (Int. J. Comput. Vis., 2025)

TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation. - Jiale Zhou 001; Wenhan Wang; Shikun Li; Xiaolei Qu; Xin Guo; Yizhong Liu; Wenzhong Tang; Xun Lin; Yefeng Zheng 001 (CoRR, 2025)

Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decoder. - Jingchao Wang; Zhijian Wu; Dingjiang Huang; Yefeng Zheng 001; Hong Wang 021 (CoRR, 2025)

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models. - Fan Zhang; Zebang Cheng; Chong Deng; Haoxuan Li; Zheng Lian; Qian Chen; Huadai Liu; Wen Wang; Yi-Fan Zhang; Renrui Zhang; Ziyu Guo; Zhihong Zhu; et al. (CoRR, 2025)

CLIMS++: Cross Language Image Matching with Automatic Context Discovery for Weakly Supervised Semantic Segmentation. - Jinheng Xie; Songhe Deng; Xianxu Hou; Zhaochuan Luo; Linlin Shen; Yawen Huang; Yefeng Zheng 001; Mike Zheng Shou (Int. J. Comput. Vis., 2025)

KPVG: Knowledge-prompted vision-genomics model for cancer survival prediction in whole slide images. - Jiangbo Shi; Chen Li 011; Yefeng Zheng 001; Huazhu Fu (Inf. Fusion, 2026)

Open-world Weakly-Supervised Object Localization. - Jinheng Xie; Zhaochuan Luo; Rouyi Li; Yawen Huang; Haozhe Liu; Yuexiang Li; Yefeng Zheng 001; Yang Zhang; Linlin Shen; Mike Zheng Shou (Pattern Recognit., 2026)