Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations

[ICML 2024] Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang

Tune-An-Ellipse: CLIP Has Potential to Find What You Want

[CVPR 2024] Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou

Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models

[CVPR 2024] Huimin Huang, Yawen Huang, Lanfen Lin, Ruofeng Tong, Yen-wei Chen, Hao Zheng, Yuexiang Li, Yefeng Zheng

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification

[CVPR 2024] Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-Supervised Medical Image Segmentation

[AAAI 2024] Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng

Federated Learning via Input-Output Collaborative Distillation

[AAAI 2024] Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Ya, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David Doermann

Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

[AAAI 2024] Qian Dai, Dong Wei, Hong Liu , Jinghan Sun, Liansheng Wang, Yefeng Zheng

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries

[AAAI 2024] Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng

Self-supervised Cross-level Consistency Learning for Fundus Image Classification

[ICASSP 2024] Q. Bi, H. Zheng, X. Sun, J. Yi, W. Zhang, Y. Huang, Y. Li, and Y. Zheng

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications

[SIGIR 2024] Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, and Yefeng Zheng

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning

[COLING 2024] Wai-Chung Kwan*, Huimin Wang*, Hongru Wang, Zezhong Wang, Bin Liang, Xian Wu, Yefeng Zheng, Kam-Fai Wong

MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis

[COLING 2024] Yutian Zhao*, Huimin Wang*, Xian Wu, Yefeng Zheng

Knowledge-aware Attention Network for Medication Effectiveness Prediction

[COLING 2024] Yingying Zhang, Xian Wu, Yu Zhang, Yefeng Zheng

Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics

[COLING 2024] Zhihong Zhu, Yunyan Zhang, Xuxin Cheng, Zhiqi Huang, Derong Xu, Xian Wu, Yefeng Zheng

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models

[COLING 2024] Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen

Biomedical Entity Linking as Multiple Choice Question Answering

[COLING 2024] Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng

Causally Debiased Time-aware Recommendation

[WWW 2024] Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph

[WWW 2024] Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal

[AAAI 2024] Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng

Pre-trained Online Contrastive Learning for Insurance Fraud Detection

[AAAI 2024] Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

Improving Biomedical Entity Linking with Retrieval-enhanced Learning

[ICASSP 2024] Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng

Dynamically Masked Discriminator for Generative Adversarial Networks

[NeurIPS 2023] Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem

VisorGPT: Learning Visual Prior via Generative Pre-Training

[NeurIPS 2023] Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation

[MM 2023] Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Tong Ruofeng, Yen-wei Chen, Yuexiang Li, Yefeng Zheng

RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training

[ISBI 2023] Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng

Category-level Regularized Unlabeled-to-labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data

[MICCAI 2023 (Early Accept)] Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-yu Tong

A Model-Agnostic Framework for Universal Anomaly Detection of Multi-Organ and Multi-Modal Images

[MICCAI 2023 (Early Accept)] Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng

You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray

[MICCAI 2023 (Early Accept)] Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng

MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images

[MICCAI 2023] Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels

[MICCAI 2023] Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-yu Tong

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

[ICCV 2023] Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs

[ICCV 2023] Peng Tu, Xu Xie, Guo AI, Yuexiang Li, Yawen Huang, Yefeng Zheng

AdaptiveMix: Robust Feature Representation via Shrinking Feature Space

[CVPR 2023] Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation

[CVPR 2023] Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng

Interactive Segmentation as Gaussian Process Classification

[CVPR 2023] Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

ClassFormer: Exploring Class-aware Dependency with Transformer for Medical Image Segmentation

[AAAI 2023] Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

[AAAI 2023] Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng

Combating Mode Collapse in GANs via Manifold Entropy Estimation

[AAAI 2023] Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification

[EACL 2023] Wangjie Jiang, Zhihao Ye, Bang Liu, Ruihui Zhao, Jianguang Zheng, Mengyao Li, Zhiyong Li, Yujiu Yang, Yefeng Zheng

Semi-supervised Credit Card Fraud Detection via Attribute-driven Graph Representation

[AAAI 2023] Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng

Identify Event Causality with Knowledge and Analogy

[AAAI 2023] Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu

CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation

[ACL 2023] Huimin Wang Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng

CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset

[ACL 2023] Hanchong Zhang and Jieyu Li and Lu Chen and Ruisheng Cao and Yunyan Zhang and Yu Huang and Yefeng Zheng and Kai Yu

Relation-aware Ensemble Learning for Knowledge Graph Embedding

[EMNLP 2023] Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation

[EMNLP 2023] Lei Gao, Xinnan Zhang, Xian Wu, Shen Ge, Yefeng Zheng

REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning

[CIKM 2023] Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu

Distributionally Robust Sequential Recommnedation

[SIGIR 2023] Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

Cross-Modal Contrastive Learning for Event Extraction

[DASFAA 2023] Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi

Exploring Social Media for Early Detection of Depression in COVID-19 Patients

[WWW 2023] Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang

Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks

[ECCV 2022] Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

[ECCV 2022] Xinyu Shi, Dong Wei, Donghuan Lu, Jiashun Chen, Munan Ning, Kai Ma, Yu Zhang, Yefeng Zheng

FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss

[MM 2022] Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, and Yaochu Jin

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images

[MICCAI 2022] Wenguang Yuan, Donghuan Lu, Dong Wei, Munan Ning, Yefeng Zheng

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

[MICCAI 2022] Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data

[MICCAI 2022 (Early Accept)] Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Kai-yu Tong

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration

[MICCAI 2022] Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah Frisken, Jayender Jagadeesan, William Wells III, Xiu Li, Yefeng Zheng, Raymond Tong

Orientation-Shared Convolution Representation for CT Metal Artifact Learning

[MICCAI 2022] Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

An Inclusive Task-Aware Framework for Radiology Report Generation

[MICCAI 2022 (Early Accept)] Lin Wang, Munan Ning, Donghuan Lu, Dong Wei, Yefeng Zheng, Jie Chen

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

[MICCAI 2022] Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng

Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays

[MICCAI 2022] Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng

Lesion Guided Explainable Few Weak-shot Medical Report Generation

[MICCAI 2022] Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images

[MICCAI 2022] Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Feng Liu, Nanjun He, Yefeng Zheng

Aggregative Self-Supervised Feature Learning from Limited Medical Sample

[MICCAI 2022] Jiuwen Zhu, Yuexiang Li, S. Kevin Zhou

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

[IJCAI 2022] Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng

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

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning

[EMNLP 2022] Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng

MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction

[CIKM 2022] Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, 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

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

[NLPCC 2022] Wenge Liu, Jianheng Tang, Yi Cheng, Wenjie Li, Yefeng Zheng, Xiaodan Liang

Contractible Regularization for Federated Learning on Non-IID Data

[ICDM 2022] Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit

[ICDM 2022] Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions

[NeurIPS 2022] Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

[NeurIPS 2022] Peng Jin, JinFa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation

[CIKM 2022] Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang

DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis

[COLING 2022] Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou and Li Xiao

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words

[COLING 2022] Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin and Ting Liu

Finding Influential Instances for Distantly Supervised Relation Extraction

[COLING 2022] Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang and Yefeng Zheng

Multi-modal Contrastive Representation Learning for Entity Alignment

[COLING 2022] Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu and Yefeng Zheng

CLINER: Clinical Interrogation Named Entity Recognition

[KSEM 2022] Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu

Probing the Impacts of Visual Context in Multimodal Entity Alignment

[APWeb-WAIM 2022 (Excellent Student Paper)] Yinghui Shi, Meng Wang, Ziheng Zhang, Zhenxi Lin, and Yefeng Zheng

Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback

[NAACL 2022 Findings] Yunfan Hu, Zhaopeng Qiu, Xian Wu

Towards Joint Intent Detection and Slot Filling via Higher-order Attention

[IJCAI 2022] Dongsheng Chen, Zhiqi Huang, Xian Wu, Shen Ge, Yuexian Zou

Medical Symptom Detection in Intelligent Pre-Consultation using Bi-directional Hard-Negative Noise Contrastive Estimation

[KDD 2022] Shiwei Zhang, Jichao Sun, Yu Huang, Xueqi Ding, and Yefeng Zheng

DDR: Dialogue based Doctor Recommendation for Online Medical Service

[KDD 2022] Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction

[WWW 2022] Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong

Conditional Generation Net for Medication Recommendation

[WWW 2022] Rui Wu, Zhaopeng Qiu, Jiacheng Jiang, Guilin Qi, Xian Wu

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

Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix

[BMVC 2021] Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng

RECIST-Net: Lesion Detection via Grouping Keypoints on RECIST-based Annotation

[ISBI 2021] Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation

[ISBI 2021] Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, 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

From Rain Generation to Rain Removal

[CVPR 2021] Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, and Deyu Meng

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

VideoGAN: Generative Adversarial Networks for Video Domain Adaptation

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

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare

[KDD 2020] Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson

A Multi-task Self-supervised Learning Framework for Scopy Images

[ISBI 2020] Yuexiang Li, Jiawei Chen, Yefeng Zheng

Multi-modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis

[ISBI 2020] Bingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao

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

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube

[MICCAI 2019] Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng

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