All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

[IEEE Journal of Biomedical and Health Informatics 2022 (IF=5.772)] Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, and Raymond Kai-yu Tong

TW-GAN: Topology and width aware GAN for retinal artery/vein classification

[Medical Image Analysis 2022 (IF=8.545)] Wenting Chen, Shuang Yu, Kai Ma, Wei Ji, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng

Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer

[IEEE Transactions on Industrial Informatics (TII) 2022 (IF=10.215)] Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato

Complete Whole-Brain Single Neuron Reconstruction Reveals Morphological Diversity in Molecularly Defined Striatal, Thalamic and Cortical Neuron Types

[Nature 2021 (IF=49.96)] Hanchuan Peng, Peng Xie, Lijuan Liu, Xiuli Kuang, Yimin Wang, Lei Qu, Hui Gong, Shengdian Jiang, Anan Li, Zongcai Ruan, Liya Ding, Zizhen Yao, Chao Chen, Mengya Chen, Tanya L. Daigle, Rachel Dalley, Zhangcan Ding, Yanjun Duan, Aaron Feiner, Ping He, Chris Hill, Karla E. Hirokawa, Guodong Hong, Lei Huang, Sara Kebede, Hsien-Chi Kuo, Rachael Larsen, Phil Lesnar, Longfei Li, Qi Li, Xiangning Li, Yaoyao Li, Yuanyuan Li, An Liu, Donghuan Lu, Stephanie Mok, Lydia Ng, Thuc Nghi Nguyen, Qiang Ouyang, Jintao Pan, Elise Shen, Yuanyuan Song, Susan M. Sunkin, Bosiljka Tasic, Matthew B. Veldman, Wayne Wakeman, Wan Wan, Peng Wang, Quanxin Wang, Tao Wang, Yaping Wang, Feng Xiong, Wei Xiong, Wenjie Xu, Min Ye, Lulu Yin, Yang Yu, Jia Yuan, Jing Yuan, Zhixi Yun, Shaoqun Zeng, Shichen Zhang, Sujun Zhao, Zijun Zhao, Zhi Zhou, Z. Josh Huang, Luke Esposito, Michael J. Hawrylycz, Staci A. Sorensen, X. William Yang, Yefeng Zheng, Zhongze Gu, Wei Xie, Christof Koch, Qingming Luo, Julie A. Harris, Yun Wang and Hongkui Zeng

Cross-Modality Coherent Registration of Whole Mouse Brains

[Nature Methods 2021 (IF=28.55)] H. Peng, Lei Qu, Yuanyuan Li, Peng Xie, Lijuan Liu, Yimin Wang, Jun Wu, Yu Liu, Tao Wang, Longfei Li, Kaixuan Guo, Wang Wan, Lei Ouyang, Feng Xiong, Yefeng Zheng, Fang-ming Xu, H. Gong, H. Dong, Qing Luo, Guofang Bi, M. Hawrylycz, Hongkui Zeng

Domain Adaptation Meets Zero-shot Learning: An Annotation-efficient Approach for Multi-modality Medical Image Segmentation

[IEEE TMI 2021 (IF=10.048)] Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei and Yefeng Zheng

DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images

[IEEE TMI 2021 (IF=10.048)] Hong Wang, Yuexiang Li, Nanjun He, Kai Ma, Deyu Meng, Yefeng Zheng

Mix-and-Interpolate: A Training Strategy to Deal with Source-biased Medical Data

[IEEE JBHI 2021 (IF=5.772)] Yuexiang Li, Jiawei Chen, Dong Wei, Yanchun Zhu, Jianrong Wu, Junfeng Xiong, Yadong Gang, Wenbo Sun, Haibo Xu, Tianyi Qian, Kai Ma, and Yefeng Zheng

Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation using Information Bottleneck Constraint

[IEEE TMI 2021 (IF=6.78)] Jiawei Chen, Ziqi Zhang, Xinpeng Xie, Yuexiang Li, Tao Xu, Kai Ma, Yefeng Zheng

Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation

[IEEE TMI 2021 (IF=6.78)] Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao

Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation

[IEEE TMI 2021 (IF=6.78)] Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao

S-CUDA: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation

[MedIA 2021 (IF=11.15)] Luyan Liu, Zhengdong Zhang, Shuai Li, Kai Ma, Yefeng Zheng

Molecular Subtyping of Diffuse Gliomas using Magnetic Resonance Imaging: Comparison and Correlation betgween Radiomics and Deep Learning

[European Radiology 2021 (IF=5.3)] Yiming Li, Dong Wei, Xing Liu, Xing Fan, Kai Wang, Shaowu Li, Zhong Zhang, Kai Ma, Tianyi Qian, Tao Jiang, Yefeng Zheng, Yinyan Wang

Anomaly Detection for Medical Images using Self-supervised and Translation-consistent Features

[IEEE TMI 2021 (IF=6.78)] He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng

GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description

[MedIA 2021 (IF=11.15)] Yuexiang Li, Zhi-Hua Liu, Peng Xue, Jiawei Chen, Kai Ma, Tianyi Qian, Yefeng Zheng, You-Lin Qiao

Dynamic Joint Domain Adaptation Network for Motor Imagery Classification

[IEEE TNSRE 2021 (IF=3.48)] Xiaolin Hong, Qingqing Zheng, Luyan Liu, Peiyin Chen, Kai Ma, Zhongke Gao, Yefeng Zheng

Quantifying the Effect of Public Activity Intervention Policies on COVID-19 Pandemic Containment Using Epidemiologic Data From 145 Countries

[Value in Health 2021 (IF=5.725)] Jichao Sun, Yefeng Zheng, Wenhua Liang, Zifeng Yang, Zhiqi Zeng, Tiegang Li, Junjie Luo, Man Tat Alexander Ng, Jianxing He, Nanshan Zhong

Understanding Patient Query with Weak Supervision from Doctor Response

[IEEE JBHI 2021 (IF=5.223)] Xiaoming Shi, Sendong Zhao, Yuxuan Wang, Xi Chen, Ziheng Zhang, Yefeng Zheng, Wanxiang Che

Towards Communication-efficient and Attack-resistant Federated Edge Learning for Industrial Internet of Things

[Transactions on Internet Technology 2021 (IF=4.79)] Yi Liu, Ruihui Zhao, Jiawen Kang, Abdulsalam Yassine, Dusit Niyato, Jialiang Peng*

Identifying Urban Built Environment Factors in Pregnancy Care and Maternal Mental Health Outcomes

[BMC Pregnancy and Childbirth 2021 (IF=3.007)] Yiye Zhang, Mohammad Tayarani, Shuojia Wang, Yifan Liu, Mohit Sharma, Rochelle Joly, Arindam RoyChoudhury, Alison Hermann, Oliver H. Gao, Jyotishman Pathak

The Association of Vitamin D and Gene Variants in the Vitamin D Metabolic Pathway with Preterm Birth

[Nutrition 2021 (IF=4.118)] Shuojia Wang, Xin Xing, Wenliang Luo, Minjia Mo, Shuting Si, Bule Shao, Yu Shen, Haoyue Cheng, Yunxian Yu

Development and Validation of an Artificial Intelligence System for Grading Colposcopic Impressions and Guiding Biopsies

[BMC Medicine 2020 (IF=6.78)] Peng Xue, Chao Tang, Qing Li, Yuexiang Li, Yu Shen, Yuqian Zhao, Jiawei Chen, Jianrong Wu, Longyu Li, Wei Wang, Yucong Li, Xiaoli Cui, Shaokai Zhang, Wenhua Zhang, Xun Zhang, Kai Ma, Yefeng Zheng, Tianyi Qian, Man Tat Alexander Ng, Zhihua Liu, Youlin Qiao, Yu Jiang, Fanghui Zhao

A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data

[IEEE TMI 2020 (IF=6.69)] Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network

[IEEE TMI 2020 (IF=6.69)] Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning

[Journal of Cancer Research and Clinical Oncology 2020 (IF=3.66)] Yi-Quan Jiang, Su-E Cao, Shilei Cao, Jian-Ning Chen, Guo-Ying Wang, Wen-Qi Shi, Yi-Nan Deng, Na Cheng, Kai Ma, Kai-Ning Zeng, Xi-Jing Yan, Hao-Zhen Yang, Wen-Jing Huan, Wei-Min Tang, Yefeng Zheng, Chun-Kui Shao, Jin Wang, Yang Yang, Gui-Hua Chen

Pairwise learning for medical image segmentation

[MedIA 2020 (IF=11.15)] Renzhen Wang, Shilei Cao, Kai Ma, Yefeng Zheng, Deyu Meng

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank

[IEEE JBHI 2020 (IF=5.223)] Yuexiang Li, Dong Wei, Jiawei Chen, Shilei Cao, Hongyu Zhou, Yanchun Zhu, Jianrong Wu, Lan Lan, Wenbo Sun, Tianyi Qian, Kai Ma, Haibo Xu, and Yefeng Zheng

Rubik’s Cube+: A Self-supervised Feature Learning Framework for 3D Medical Image Analysis

[MedIA 2020 (IF=11.15)] Jiuwen Zhu, Yuexiang Li, Yifan Hu, Kai Ma, S Kevin Zhou, Yefeng Zheng

Computer-aided Cervical Cancer Diagnosis using Time-lapsed Colposcopic Images

[IEEE TMI 2020 (IF=6.69)] Yuexiang Li, Jiawei Chen, Peng Xue, Chao Tang, Jia Chang, Chunyan Chu, Kai Ma, Qing Li, Yefeng Zheng, Youlin Qiao

Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification

[IEEE TNNLS 2020 (IF=8.79)] He Zhao, Qingqing Zheng, Kai Ma, Huiqi Li, Yefeng Zheng

Uncertainty-aware Domain Alignment for Anatomical Structure Segmentation

[MedIA 2020 (IF=11.15)] Cheng Bian, Chenglang Yuan, Jiexiang Wang, Meng Li, Xin Yang, Shuang Yu, Kai Ma, Jin Yuan, Yefeng Zheng

Forecasting the long-term trend of COVID-19 epidemic using a dynamic model

[Scientific Reports 2020 (IF=4.525)] Jichao Sun,† Xi Chen,† Ziheng Zhang,† Shengzhang Lai, Bo Zhao, Hualuo Liu, Shuojia Wang, Wenjing Huan, Ruihui Zhao, Man Tat Alexander Ng*, Yefeng Zheng*

Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women

[Journal of Affective Disorders 2020 (IF=4.084)] Yiye Zhang, Shuojia Wang, Alison Hermann, Rochelle Joly, Jyotishman Pathak

Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning

[AAAI 2022] Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations

[WWW 2022] Suyuchen Wang, Ruihui Zhao,Yefeng Zheng, Bang Liu

"My nose is running. ""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics

[IJCAI 2022] Wenge Liu, Jianheng Tang, Hao Wang, Yi Cheng, Yafei Liu, Ruihui Zhao, Xi Chen, Yefeng Zheng, Xiaodan Liang

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

[ICDE 2022] Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu

BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection

[ICASSP 2022] Jia Li, Yunyan Zhang, Yifan Yang, Zhicheng An, Yefeng Zheng

InDISP: An Interpretable Model for Dynamic Illness Severity Prediction

[DASFAA 2022] Xinyu Ma, Meng Wang, Xing Liu, Yifan Yang, Yefeng Zheng, Sen Wang

PAC-Bayes Information Bottleneck

[ICLR 2022 (Spotlight)] Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng

Multi-anchor Active Domain Adaptation for Semantic Segmentation

[ICCV 2021 (Oral)] Munan Ning, Dong Wei, Donghuan Lu, Shuang Yu, Kai Ma, Chenglang Yuan, Cheng Bian, Yefeng Zheng

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation

[MICCAI 2021 (Early Accept)] Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification

[MICCAI 2021 (Early Accept)] Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng

Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification

[MICCAI 2021 (Early Accept)] Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma, Yefeng Zheng

Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views

[MICCAI 2021 (Early Accept)] Dong Wei, Kai Ma, Yefeng Zheng

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks

[MICCAI 2021 (Early Accept)] Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading

[MICCAI 2021 (Early Accept)] Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng

Seg4Reg+: A Local and Global Consistency Learning between Spine Segmentation and Cobb Angle Regression

[MICCAI 2021 (Early Accept)] Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng

Deep Reinforcement Exemplar Learning for Annotation Refinement

[MICCAI 2021 (Early Accept)] Yuexiang Li, Nanjun He, Kai Ma, Yefeng Zheng

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images

[MICCAI 2021 (Early Accept)] Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction

[MICCAI 2021] Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng

Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification

[MICCAI 2021] Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

Calibrated RGB-D Salient Object Detection

[CVPR 2021] Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng

Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling

[CVPR 2021 (Best Paper Candidate)] Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng

Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation

[IPMI 2021] Munan Ning, Cheng Bian, Dong Wei, Shuang Yu, Chenglang Yuan, Yang Guo, Kai Ma, Yefeng Zheng

Feature Library: A Benchmark for Cervical Lesion Segmentation

[IPMI 2021] Yuexiang Li, Jiawei Chen, Kai Ma, Yefeng Zheng

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework

[IPMI 2021] Hongyu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng

Alternative Baselines for Low-Shot 3D Medical Image Segmentation—An Atlas Perspective

[AAAI 2021] Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

Stabilized Medical Image Attacks

[ICLR 2021 (Spotlight)] Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization

[EMNLP 2021] Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng and Bang Liu

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval

[ACL 2021] Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen and Yefeng Zheng

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting

[ACL 2021] Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin and Yefeng Zheng

FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data

[IJCNN 2021] Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James Yu

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management

[NAACL 2021] Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng

Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion

[WWW 2021] Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation

[AAAI 2021] Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning

[EMNLP 2021] Zhenxi Lin, Qianli Ma, Jiangyue Yan and Jieyu Chen

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis

[ICDM 2021] Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, and Chen Li

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System

[CIKM 2021] Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

[ACL 2021] Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Xu Ming and Yefeng Zheng

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding

[ACL 2021] Yuejia Xiang*, Ziheng Zhang*, Jiaoyan Chen, Xi Chen, Zhenxi Lin and Yefeng Zheng

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding

[IJCAI 2021] Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng

Lifelong Learning based Disease Diagnosis on Clinical Notes

[PAKDD 2021 (Best Student Paper)] Zifeng Wang*, Yifan Yang*, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng

Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge

[PAKDD 2021] Zhihao Ye, Rui Wen, Xi Chen, Ye Liu, Ziheng Zhang, Zhiyong Li, Ke Nai, Yefeng Zheng

Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach

[SDM 2021] Xianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Yefeng Zheng, Chen Li

Field Embedding: A Unified Grain-Based Framework for Word Representation

[NAACL 2021] Junjie Luo, Xi Chen, Jichao Sun, Yuejia Xiang, Ningyu Zhang, Xiang Wan

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks

[WWW 2021] Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

[IJCAI 2020-FML workshop] Ce Ju*, Ruihui Zhao*, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu and Yuan Jin

Dual Adversarial Network for Deep Active Learning

[ECCV 2020] Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng

Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation

[ECCV 2020] Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng

Deep Image Clustering with Category-Style Representation

[ECCV 2020] Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng

TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification

[MICCAI 2020 (Early Accept)] Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng

Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications

[MICCAI 2020 (Early Accept)] Lijun Gong, Kai Ma, Yefeng Zheng

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy

[MICCAI 2020 (Early Accept)] Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng

Learning and Exploiting Interclass Visual Correlations for Medical Image Classification

[MICCAI 2020 (Early Accept)] Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng

Superpixel-Guided Label Softening for Medical Image Segmentation

[MICCAI 2020 (Early Accept)] Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng

Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling

[MICCAI 2020] Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning

[MICCAI 2020] Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng

Learning Crisp Edge Detector Logical Refinement Network

[MICCAI 2020] Luyan Liu, Kai Ma, Yefeng Zheng

Instance-Aware Self-supervised Learning for Nuclei Segmentation

[MICCAI 2020] Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng

MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint

[MICCAI 2020] Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng

Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation

[MICCAI 2020] Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng

Revisiting Rubik’s cube: self-supervised learning with volume-wise transformation for 3D medical image segmentation

[MICCAI 2020] Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng

A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation

[MICCAI 2020] Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations

[MICCAI 2020] Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng

LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation

[CVPR 2020] Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift

[IJCAI 2020] Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng

Generative Adversarial Networks for Video-to-Video Domain Adaptation

[AAAI 2020] Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng

Speaker or Listener? The Role of a Dialogue Agent

[EMNLP 2020] Yafei Liu, Hongjin Qian, Hengpeng Xu, Jinmao Wei

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback

[NeurIPS 2020] Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng

Correcting Knowledge Base Assertions

[WWW 2020] Jiaoyan Chen, Xi Chen, Ian Horrocks, Erik B. Myklebust, and Ernesto Jimenez-Ruiz

An Industry Evaluation of Embedding-based Entity Alignment

[COLING 2020] Ziheng Zhang, Jiaoyan Chen, Xi Chen, Hualuo Liu, Yuejia Xiang, Bo Liu, Yefeng Zheng

Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention

[EMNLP 2020] Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen

Multimodal Deep Learning Framework for Mental Disorder Recognition

[FG 2020] Ziheng Zhang, Weizhe Lin, Mingyu Liu, Marwa Mahmoud

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network

[MICCAI 2019 (Oral)] Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster

[MICCAI 2019] Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng

Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification

[MICCAI 2019] Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster

[MICCAI 2019] Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng

X2CT-GAN: Reconstructing CT from Biplanar X-rays with Generative Adversarial Networks

[CVPR 2019] Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng

Med3d: Transfer Learning for 3d Medical Image Analysis

[arXiv] Sihong Chen, Kai Ma, Yefeng Zheng

Finding Influential Instances for Distantly Supervised Relation Extraction

[arXiv] Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng