Yefeng Zheng

642 papers A* 87A 11B 13Misc 3Journal 342Unranked 172
YearRankTypeTitle / Venue / Authors
2026 J jnl
A lightweight physics-driven dual exposure correction network for endoscopic images.
Pattern Recognit.
Zhijian Wu, Hong Wang, Yefeng Zheng
2026 J jnl
Attention Needs to Focus: A Unified Perspective on Attention Allocation.
CoRR
Zichuan Fu, Wentao Song, Guojing Li, Yejing Wang, Xian Wu, Yimin Deng, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao
2026 J jnl
Bi-CRCL: Bidirectional Conservative-Radical Complementary Learning with Pre-trained Foundation Models for Class-incremental Medical Image Analysis.
CoRR
Xinyao Wu, Zhe Xu, Cheng Chen, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2026 J jnl
ConRF: Zero-shot stylization of 3D scenes with conditioned radiation fields.
Pattern Recognit.
Xingyu Miao, Yang Bai, Haoran Duan, Fan Wan, Yawen Huang, Yang Long, Yefeng Zheng
2026 J jnl
Evolving Medical Imaging Agents via Experience-driven Self-skill Discovery.
CoRR
Lin Fan, Pengyu Dai, Zhipeng Deng, Haolin Wang, Xun Gong, Yefeng Zheng, Yafei Ou
2026 J jnl
Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation.
CoRR
Hong Liu, Dong Wei, Qian Dai, Xian Wu, Yefeng Zheng, Liansheng Wang
2026 J jnl
GM-ABS: Promptable Generalist Model Drives Active Barely Supervised Training in Specialist Model for 3D Medical Image Segmentation.
IEEE Trans. Medical Imaging
Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong
2026 J jnl
Homophily Edge Augment Graph Neural Network for High-Class Homophily Variance Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Mingjian Guang, Rui Zhang, Dawei Cheng, Xiaoyang Wang, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng
2026 J jnl
InViC: Intent-aware Visual Cues for Medical Visual Question Answering.
CoRR
Zhisong Wang, Ziyang Chen, Zanting Ye, Hongze Zhu, Yefeng Zheng, Yong Xia
2026 J jnl
KPVG: Knowledge-prompted vision-genomics model for cancer survival prediction in whole slide images.
Inf. Fusion
Jiangbo Shi, Chen Li, Yefeng Zheng, Huazhu Fu
2026 J jnl
MUSCLE: A New Perspective to Multi-Scale Fusion for Medical Image Classification Based on the Theory of Evidence.
IEEE Trans. Medical Imaging
Junlai Qiu, Junyue Cao, Yawen Huang, Ziwei Zhu, Fubo Wang, Cheng Lu, Yuexiang Li, Yefeng Zheng
2026 J jnl
MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models.
CoRR
Shengyuan Liu, Zanting Ye, Yunrui Lin, Chen Hu, Wanting Geng, Xu Han, Bulat Ibragimov, Yefeng Zheng, Yixuan Yuan
2026 — conf
Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation.
KDD (1)
Yingjia Shang, Yi Liu, Huimin Wang, Furong Li, Wenfang Sun, Chengyu Wu, Yefeng Zheng
2026 J jnl
MoDE: Improving Mixture of Depression Experts With Mutual Information Estimator for Depression Detection.
IEEE Trans. Affect. Comput.
Xianbing Zhao, Hang Yang, Di Wang, Buzhou Tang, Yefeng Zheng
2026 A* conf
Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification.
AAAI
Jiayang Wu, Jiale Zhou, Rubo Wang, Xingyi Zhang, Xun Lin, Tianxu Lv, Leong Hou U, Yefeng Zheng
2026 J jnl
Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification.
CoRR
Jiayang Wu, Jiale Zhou, Rubo Wang, Xingyi Zhang, Xun Lin, Tianxu Lv, Leong Hou U, Yefeng Zheng
2026 J jnl
Open-world Weakly-Supervised Object Localization.
Pattern Recognit.
Jinheng Xie, Zhaochuan Luo, Rouyi Li, Yawen Huang, Haozhe Liu, Yuexiang Li, Yefeng Zheng, Yang Zhang, Linlin Shen, Mike Zheng Shou
2026 J jnl
RegionReasoner: Region-Grounded Multi-Round Visual Reasoning.
CoRR
Wenfang Sun, Hao Chen, Yingjun Du, Yefeng Zheng, Cees G. M. Snoek
2026 J jnl
Step-CoT: Stepwise Visual Chain-of-Thought for Medical Visual Question Answering.
CoRR
Lin Fan, Yafei Ou, Zhipeng Deng, Pengyu Dai, Hou Chongxian, Jiale Yan, Yaqian Li, Kaiwen Long, Xun Gong, Masayuki Ikebe, Yefeng Zheng
2026 J jnl
Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation.
CoRR
Hong Liu, Dong Wei, Qiong Peng, Yawen Huang, Xian Wu, Yefeng Zheng, Liansheng Wang
2026 J jnl
This Looks Distinctly Like That: Grounding Interpretable Recognition in Stiefel Geometry against Neural Collapse.
CoRR
Junhao Jia, Jiaqi Wang, Yunyou Liu, Haodong Jing, Yueyi Wu, Xian Wu, Yefeng Zheng
2026 J jnl
Topology-Guided Biomechanical Profiling: A White-Box Framework for Opportunistic Screening of Spinal Instability on Routine CT.
CoRR
Zanting Ye, Xuanbin Wu, Guoqing Zhong, Shengyuan Liu, Jiashuai Liu, Ge Song, Zhisong Wang, Jing Hao, Xiaolong Niu, Yefeng Zheng, Yu Zhang, Lijun Lu
2026 J jnl
Unveiling and Bridging the Functional Perception Gap in MLLMs: Atomic Visual Alignment and Hierarchical Evaluation via PET-Bench.
CoRR
Zanting Ye, Xiaolong Niu, Xuanbin Wu, Xu Han, Shengyuan Liu, Jing Hao, Zhihao Peng, Hao Sun, Jieqin Lv, Fanghu Wang, Yanchao Huang, Hubing Wu, Yixuan Yuan, Habib Zaidi, Arman Rahmim, Yefeng Zheng, Lijun Lu
2025 — conf
A Layered Debating Multi-Agent System for Similar Disease Diagnosis.
NAACL (Short Papers)
Yutian Zhao, Huimin Wang, Yefeng Zheng, Xian Wu
2025 — conf
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs.
ACL (Findings)
Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian
2025 J jnl
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs.
CoRR
Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian
2025 — conf
A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-contrast CT with Anatomy Simplification.
MICCAI (7)
Duoer Zhang, Wenbo Xiao, Chen Jiang, Yuxuan Qiu, Zhan Feng, Hong Wang, Yefeng Zheng, Wentao Zhu
2025 — conf
A Prior-Driven Lightweight Network for Endoscopic Exposure Correction.
MICCAI (11)
Zhijian Wu, Hong Wang, Yuxuan Shi, Dingjiang Huang, Yefeng Zheng
2025 J jnl
A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications.
IEEE Trans. Neural Networks Learn. Syst.
Jie Su, Peng Sun, Yuting Jiang, Zhenyu Wen, Fangda Guo, Yiming Wu, Zhen Hong, Haoran Duan, Yawen Huang, Rajiv Ranjan, Yefeng Zheng
2025 A conf
A Simple and Better Baseline for Visual Grounding.
ICME
Jingchao Wang, Wenlong Zhang, Dingjiang Huang, Hong Wang, Yefeng Zheng
2025 J jnl
A Simple and Better Baseline for Visual Grounding.
CoRR
Jingchao Wang, Wenlong Zhang, Dingjiang Huang, Hong Wang, Yefeng Zheng
2025 — conf
A Survey on Foundation Language Models for Single-cell Biology.
ACL (1)
Fan Zhang, Hao Chen, Zhihong Zhu, Ziheng Zhang, Zhenxi Lin, Ziyue Qiao, Yefeng Zheng, Xian Wu
2025 J jnl
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis.
npj Digit. Medicine
Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton
2025 J jnl
Adaptive Weighting Based Metal Artifact Reduction in CT Images.
IEEE Trans. Medical Imaging
Hong Wang, Yichen Wu, Yongbo Wang, Dong Wei, Xian Wu, Jianhua Ma, Yefeng Zheng
2025 J jnl
Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.
IEEE Trans. Pattern Anal. Mach. Intell.
Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei A. Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, David A. Clifton
2025 A* conf
AtlantisGS: Underwater Sparse-View Scene Reconstruction via Gaussian Splatting.
ACM Multimedia
Jingjun Yi, Qi Bi, Hao Zheng, Huimin Huang, Haolan Zhan, Yixian Shen, Wei Ji, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng
2025 J jnl
Attention-driven acoustic properties learning for underwater target ranging.
Pattern Recognit.
Xiaohui Chu, Hantao Zhou, Yan Zhang, Yachao Zhang, Runze Hu, Haoran Duan, Yawen Huang, Yefeng Zheng, Rongrong Ji
2025 J jnl
Beyond Single Models: Mitigating Multimodal Hallucinations via Adaptive Token Ensemble Decoding.
CoRR
Jinlin Li, Yuran Wang, Yifei Yuan, Xiao Zhou, Yingying Zhang, Xixian Yong, Yefeng Zheng, Xian Wu
2025 A* conf
BrainSegDMIF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation.
ACM Multimedia
Hongming Wang, Yifeng Wu, Huimin Huang, Hongtao Wu, Jiaxuan Jiang, Xiaodong Zhang, Hao Zheng, Yawen Huang, Xian Wu, Yefeng Zheng, Jinping Xu, Jing Cheng
2025 J jnl
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation.
CoRR
Hongming Wang, Yifeng Wu, Huimin Huang, Hongtao Wu, Jia-Xuan Jiang, Xiaodong Zhang, Hao Zheng, Xian Wu, Yefeng Zheng, Jinping Xu, Jing Cheng
2025 — conf
Braineditor: Structure-Disentangled Brain MRI Synthesis via Natural Language Prompted Diffusion Image Editing.
ISBI
Jialin Li, Dong Wei, Jiaming Qiu, Yiwei Ren, Pujin Cheng, Junyan Lyu, Terry Tao Ye, Yefeng Zheng, Xiaoying Tang
2025 J jnl
CLIMS++: Cross Language Image Matching with Automatic Context Discovery for Weakly Supervised Semantic Segmentation.
Int. J. Comput. Vis.
Jinheng Xie, Songhe Deng, Xianxu Hou, Zhaochuan Luo, Linlin Shen, Yawen Huang, Yefeng Zheng, Mike Zheng Shou
2025 — conf
Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models.
ACL (Findings)
Zhihong Zhu, Yunyan Zhang, Xianwei Zhuang, Fan Zhang, Zhongwei Wan, Yuyan Chen, Qingqing Long, Yefeng Zheng, Xian Wu
2025 J jnl
CellVerse: Do Large Language Models Really Understand Cell Biology?
CoRR
Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng
2025 A* conf
CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration.
UIST
Zheng Wei, Hongtao Wu, Lvmin Zhang, Xian Xu, Yefeng Zheng, Pan Hui, Maneesh Agrawala, Huamin Qu, Anyi Rao
2025 J jnl
CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration.
CoRR
Zheng Wei, Hongtao Wu, Lvmin Zhang, Xian Xu, Yefeng Zheng, Pan Hui, Maneesh Agrawala, Huamin Qu, Anyi Rao
2025 J jnl
Clinical pathway-aware large language models for reliable and transparent medical dialogue.
J. Biomed. Informatics
Jiageng Wu, Xian Wu, Yefeng Zheng, Jie Yang
2025 — conf
Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models.
MICCAI (14)
Xinyao Wu, Zhe Xu, Donghuan Lu, Jinghan Sun, Hong Liu, Sadia Shakil, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2025 — conf
D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-Invariant CAM.
MICCAI (5)
Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Huimin Huang, Yuexiang Li, Shaoxin Li, Xian Wu, Yefeng Zheng, Feiyue Huang
2025 J jnl
DUSA-UNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction.
IEEE Trans. Geosci. Remote. Sens.
Jie Song, Yue Sun, Ziyun Cai, Liang Xiao, Yawen Huang, Yefeng Zheng
2025 J jnl
Deep learning-based non-contrast MRI model for nasopharyngeal carcinoma diagnosis: an end-to-end gadolinium-free solution.
npj Digit. Medicine
Zhen Li, Yiqian Shi, Li Wang, Jiayu Lu, Xueli Liu, Jonghye Woo, Jingsong Ouyang, Jiyi Hu, Di Zhou, Wentao Gong, Xiaojing Yang, Haoyan Yu, Yongkang Wang, Feidi Liu, Yafei Dong, Meng Ye, Shang Shi, Xiao Chen, Mingyan Qiu, Georges El Fakhri, Lin Kong, Xicai Sun, Yefeng Zheng, Yuxuan Shi, Hongmeng Yu, Xiaofeng Liu
2025 J jnl
Empowering scientific discovery with explainable small domain-specific and large language models.
Artif. Intell. Rev.
Hengjie Yu, Yizhi Wang, Tao Cheng, Yan Yan, Kenneth A. Dawson, Sam F. Y. Li, Yefeng Zheng, Yaochu Jin
2025 J jnl
Encoding sampling pattern for robust and generalized MRI reconstruction.
Pattern Recognit.
Lina Sun, Hong Wang, Qi Xie, Yefeng Zheng, Deyu Meng
2025 J jnl
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation.
CoRR
Zhipeng Deng, Zhe Xu, Tsuyoshi Isshiki, Yefeng Zheng
2025 J jnl
Federated modality-specific encoders and partially personalized fusion decoder for multimodal brain tumor segmentation.
Medical Image Anal.
Hong Liu, Dong Wei, Qian Dai, Xian Wu, Yefeng Zheng, Liansheng Wang
2025 J jnl
GAD: Domain generalized diabetic retinopathy grading by grade-aware de-stylization.
Pattern Recognit.
Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Yawen Huang, Wei Ji, Yuexiang Li, Yefeng Zheng
2025 — conf
Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding.
EMNLP (Findings)
Zhenxi Lin, Ziheng Zhang, Jian Wu, Yefeng Zheng, Xian Wu
2025 A* conf
How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs.
WWW
Ziheng Zhang, Zhenxi Lin, Yefeng Zheng, Xian Wu
2025 J jnl
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain.
CoRR
Hong Huang, Weixiang Sun, Zhijian Wu, Jingwen Niu, Donghuan Lu, Xian Wu, Yefeng Zheng
2025 A* conf
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation.
AAAI
Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng
2025 — conf
Learning Generalizable Diabetic Retinopathy Grading by Decoupled State Space Decoding.
ICCVW
Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Huimin Huang, Yuexiang Li, Xian Wu, Yefeng Zheng
2025 J jnl
Learning Generalized Medical Image Representation by Decoupled Feature Queries.
IEEE Trans. Pattern Anal. Mach. Intell.
Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng
2025 J jnl
Learning Representation and Synergy Invariances: A Povable Framework for Generalized Multimodal Face Anti-Spoofing.
CoRR
Xun Lin, Shuai Wang, Yi Yu, Zitong Yu, Jiale Zhou, Yizhong Liu, Xiaochun Cao, Alex C. Kot, Yefeng Zheng
2025 J jnl
Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions.
Int. J. Comput. Vis.
Yawen Huang, Huimin Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Yefeng Zheng
2025 J jnl
MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models.
CoRR
Fan Zhang, Zebang Cheng, Chong Deng, Haoxuan Li, Zheng Lian, Qian Chen, Huadai Liu, Wen Wang, Yifan Zhang, Renrui Zhang, Ziyu Guo, Zhihong Zhu, Hao Wu, Haixin Wang, Yefeng Zheng, Xiaojiang Peng, Xian Wu, Kun Wang, Xiangang Li, Jieping Ye, Pheng-Ann Heng
2025 J jnl
MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts.
CoRR
Shujun Xia, Haokun Lin, Yichen Wu, Yinan Zhou, Zixuan Li, Zhongwei Wan, Xingrun Xing, Yefeng Zheng, Xiang Li, Caifeng Shan, Zhenan Sun, Quanzheng Li
2025 J jnl
Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation.
CoRR
Yingjia Shang, Yi Liu, Huimin Wang, Furong Li, Wenfang Sun, Chengyu Wu, Yefeng Zheng
2025 A* conf
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models.
EMNLP
Zhengyi Zhao, Shubo Zhang, Yuxi Zhang, Yanxi Zhao, Yifan Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu
2025 J jnl
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models.
CoRR
Zhengyi Zhao, Shubo Zhang, Yuxi Zhang, Yanxi Zhao, Yifan Zhang, Zezhong Wang, Xiaohui Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu
2025 — conf
Model Merging for Knowledge Editing.
ACL (6)
Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao
2025 J jnl
Model Merging for Knowledge Editing.
CoRR
Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao
2025 B conf
Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs.
COLING
Suhuang Wu, Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng, Wei Li, Hui Li, Rongrong Ji
2025 J jnl
Multi-Source Domain Adaptation by Causal-Guided Adaptive Multimodal Diffusion Networks.
Int. J. Comput. Vis.
Ziyun Cai, Yawen Huang, Tengfei Zhang, Yefeng Zheng, Dong Yue
2025 — conf
NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results.
CVPR Workshops
Xin Li, Yeying Jin, Xin Jin, Zongwei Wu, Bingchen Li, Yufei Wang, Wenhan Yang, Yu Li, Zhibo Chen, Bihan Wen, Robby T. Tan, Radu Timofte, Qiyu Rong, Hongyuan Jing, Mengmeng Zhang, Jinglong Li, Xiangyu Lu, Yi Ren, Yuting Liu, Meng Zhang, Xiang Chen, Qiyuan Guan, Jiangxin Dong, Jinshan Pan, Conglin Gou, Qirui Yang, Fangpu Zhang, Yunlong Lin, Sixiang Chen, Guoxi Huang, Ruirui Lin, Yan Zhang, Jingyu Yang, Huanjing Yue, Jiyuan Chen, Qiaosi Yi, Hongjun Wang, Chenxi Xie, Shuai Li, Yuhui Wu, Kaiyi Ma, Jiakui Hu, Juncheng Li, Liwen Pan, Guangwei Gao, Wenjie Li, Zhenyu Jin, Heng Guo, Zhanyu Ma, Yubo Wang, Jinghua Wang, Wangzhi Xing, Anjusree Karnavar, Diqi Chen, Mohammad Aminul Islam, Hao Yang, Ruikun Zhang, Liyuan Pan, Qianhao Luo, Xin Cao, Han Zhou, Yan Min, Wei Dong, Jun Chen, Taoyi Wu, Weijia Dou, Yu Wang, Shengjie Zhao, Yongcheng Huang, Xingyu Han, Anyan Huang, Hongtao Wu, Hong Wang, Yefeng Zheng, Abhijeet Kumar, Aman Kumar, Marcos V. Conde, Paula Garrido, Daniel Feijoo, Juan C. Benito, Guanglu Dong, Xin Lin, Siyuan Liu, Tianheng Zheng, Jiayu Zhong, Shouyi Wang, Xiangtai Li, Lanqing Guo, Lu Qi, Chao Ren, Shuaibo Wang, Shilong Zhang, Wanyu Zhou, Yunze Wu, Qinzhong Tan, Jieyuan Pei, Zhuoxuan Li, Jiayu Wang, Haoyu Bian, Haoran Sun, Subhajit Paul, Ni Tang, Junhao Huang, Zihan Cheng, Hongyun Zhu, Yuehan Wu, Kaixin Deng, Huang Ouyang, Tianxin Xiao, Fan Yang, Zhizun Luo, Zeyu Xiao, Zhuoyuan Li, Pham Hoang Le Nguyen, Dinh Thien An, Luu Thanh Son, Kiet Van Nguyen, Ronghua Xu, Xianmin Tian, Weijian Zhou, Jiacheng Zhang, Yuqian Chen, Yihang Duan, Yujie Wu, Suresh Raikwar, Arsh Garg, Kritika Kritika, Jianhua Zheng, Xiaoshan Ma, Ruolin Zhao, Yongyu Yang, Yongsheng Liang, Guiming Huang, Qiang Li, Hongbin Zhang, Xiangyu Zheng, A. N. Rajagopalan
2025 J jnl
NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results.
CoRR
Xin Li, Yeying Jin, Xin Jin, Zongwei Wu, Bingchen Li, Yufei Wang, Wenhan Yang, Yu Li, Zhibo Chen, Bihan Wen, Robby T. Tan, Radu Timofte, Qiyu Rong, Hongyuan Jing, Mengmeng Zhang, Jinglong Li, Xiangyu Lu, Yi Ren, Yuting Liu, Meng Zhang, Xiang Chen, Qiyuan Guan, Jiangxin Dong, Jinshan Pan, Conglin Gou, Qirui Yang, Fangpu Zhang, Yunlong Lin, Sixiang Chen, Guoxi Huang, Ruirui Lin, Yan Zhang, Jingyu Yang, Huanjing Yue, Jiyuan Chen, Qiaosi Yi, Hongjun Wang, Chenxi Xie, Shuai Li, Yuhui Wu, Kaiyi Ma, Jiakui Hu, Juncheng Li, Liwen Pan, Guangwei Gao, Wenjie Li, Zhenyu Jin, Heng Guo, Zhanyu Ma, Yubo Wang, Jinghua Wang, Wangzhi Xing, Anjusree Karnavar, Diqi Chen, Mohammad Aminul Islam, Hao Yang, Ruikun Zhang, Liyuan Pan, Qianhao Luo, XinCao, Han Zhou, Yan Min, Wei Dong, Jun Chen, Taoyi Wu, Weijia Dou, Yu Wang, Shengjie Zhao, Yongcheng Huang, Xingyu Han, Anyan Huang, Hongtao Wu, Hong Wang, Yefeng Zheng, Abhijeet Kumar, Aman Kumar, Marcos V. Conde, Paula Garrido, Daniel Feijoo, Juan C. Benito, Guanglu Dong, Xin Lin, Siyuan Liu, Tianheng Zheng, Jiayu Zhong, Shouyi Wang, Xiangtai Li, Lanqing Guo, Lu Qi, Chao Ren, Shuaibo Wang, Shilong Zhang, Wanyu Zhou, Yunze Wu, Qinzhong Tan, Jieyuan Pei, Zhuoxuan Li, Jiayu Wang, Haoyu Bian, Haoran Sun, Subhajit Paul, Ni Tang, Junhao Huang, Zihan Cheng, Hongyun Zhu, Yuehan Wu, Kaixin Deng, Huang Ouyang, Tianxin Xiao, Fan Yang, Zhizun Luo, Zeyu Xiao, Zhuoyuan Li, Pham Hoang Le Nguyen, Dinh Thien An, Luu Thanh Son, Kiet Van Nguyen, Ronghua Xu, Xianmin Tian, Weijian Zhou, Jiacheng Zhang, Yuqian Chen, Yihang Duan, Yujie Wu, Suresh Raikwar, Arsh Garg, Kritika Kritika, Jianhua Zheng, Xiaoshan Ma, Ruolin Zhao, Yongyu Yang, Yongsheng Liang, Guiming Huang, Qiang Li, Hongbin Zhang, Xiangyu Zheng, A. N. Rajagopalan
2025 A* conf
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation.
CVPR
Qi Bi, Jingjun Yi, Huimin Huang, Hao Zheng, Haolan Zhan, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng
2025 A conf
OpenDUN: To Discover Unknown Number of Visual Categories.
ICME
Sik Chit Wu, Munan Ning, Dong Wei, Yefeng Zheng, Donghuan Lu, Li Yuan
2025 J jnl
PASS: Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation.
IEEE Trans. Medical Imaging
Chuyan Zhang, Hao Zheng, Xin You, Yefeng Zheng, Yun Gu
2025 — conf
PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction.
MICCAI (3)
Yuxuan Long, Yulin Zhang, Hong Wang, Xiaodong Kuang, Hailiang Huang, Fan Rao, Huafeng Liu, Yefeng Zheng, Wentao Zhu
2025 J jnl
Progressive Language-guided Visual Learning for Multi-Task Visual Grounding.
CoRR
Jingchao Wang, Hong Wang, Wenlong Zhang, Kunhua Ji, Dingjiang Huang, Yefeng Zheng
2025 — conf
RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation.
MICCAI (5)
Hong Liu, Dong Wei, Zhe Xu, Xian Wu, Yefeng Zheng, Liansheng Wang
2025 J jnl
RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Zihong Sun, Hong Wang, Qi Xie, Yefeng Zheng, Deyu Meng
2025 A* conf
RareSyn: Health Record Synthesis for Rare Disease Diagnosis.
EMNLP
Huimin Wang, Yutian Zhao, Yefeng Zheng, Xian Wu
2025 J jnl
Rethinking Brain Tumor Segmentation From the Frequency Domain Perspective.
IEEE Trans. Medical Imaging
Minye Shao, Zeyu Wang, Haoran Duan, Yawen Huang, Bing Zhai, Shizheng Wang, Yang Long, Yefeng Zheng
2025 J jnl
Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective.
CoRR
Minye Shao, Zeyu Wang, Haoran Duan, Yawen Huang, Bing Zhai, Shizheng Wang, Yang Long, Yefeng Zheng
2025 J jnl
Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond.
CoRR
Fan Zhang, Haoxuan Li, Shengju Qian, Xin Wang, Zheng Lian, Hao Wu, Zhihong Zhu, Yuan Gao, Qiankun Li, Yefeng Zheng, Zhouchen Lin, Pheng-Ann Heng
2025 J jnl
Robust Source-Free Domain Adaptation for Medical Image Segmentation based on Curriculum Learning.
CoRR
Ziqi Zhang, Yuexiang Li, Yawen Huang, Nanjun He, Tao Xu, Liwei Lin, Yefeng Zheng, Shaoxin Li, Feiyue Huang
2025 A* conf
SAMVSR: Leveraging Semantic Priors to Zone-Focused Mamba for Video Snow Removal.
ACM Multimedia
Hongtao Wu, Yifeng Wu, Jiaxuan Jiang, Chengyu Wu, Hong Wang, Yefeng Zheng
2025 J jnl
SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors.
CoRR
Zhen Hong, Bowen Wang, Haoran Duan, Yawen Huang, Xiong Li, Zhenyu Wen, Xiang Wu, Wei Xiang, Yefeng Zheng
2025 J jnl
SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors.
IEEE Trans. Circuits Syst. Video Technol.
Zhen Hong, Bowen Wang, Haoran Duan, Yawen Huang, Xiong Li, Zhenyu Wen, Xiang Wu, Wei Xiang, Yefeng Zheng
2025 J jnl
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data.
CoRR
Qi Chen, Xinze Zhou, Chen Liu, Hao Chen, Wenxuan Li, Zekun Jiang, Ziyan Huang, Yuxuan Zhao, Dexin Yu, Junjun He, Yefeng Zheng, Ling Shao, Alan L. Yuille, Zongwei Zhou
2025 A* conf
Single Domain Generalization for Multimodal Cross-Cancer Prognosis via Dirac Rebalancer and Distribution Entanglement.
ACM Multimedia
Jia-Xuan Jiang, Jiashuai Liu, Hongtao Wu, Yifeng Wu, Zhong Wang, Qi Bi, Yefeng Zheng
2025 J jnl
Single-Domain Generalization for Multimodal Cross-Cancer Prognosis via Dirac Rebalancer and Distribution Entanglement.
CoRR
Jiaxuan Jiang, Jiashuai Liu, Hongtao Wu, Yifeng Wu, Zhong Wang, Qi Bi, Yefeng Zheng
2025 J jnl
Sliding Window Attention Training for Efficient Large Language Models.
CoRR
Zichuan Fu, Wentao Song, Yejing Wang, Xian Wu, Yefeng Zheng, Yingying Zhang, Derong Xu, Xuetao Wei, Tong Xu, Xiangyu Zhao
2025 — conf
Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation.
IPMI (2)
Hong Liu, Dong Wei, Qiong Peng, Yawen Huang, Xian Wu, Yefeng Zheng, Liansheng Wang
2025 A* conf
T
EMNLP
Zhengyi Zhao, Shubo Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu
2025 J jnl
T
CoRR
Zhengyi Zhao, Shubo Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu
2025 — conf
TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency.
MICCAI (4)
Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, Yefeng Zheng
2025 J jnl
TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency.
CoRR
Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, Yefeng Zheng
2025 J jnl
The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models.
CoRR
Jiashuai Liu, Yingjia Shang, Yingkang Zhan, Di Zhang, Yi Niu, Dong Wei, Xian Wu, Zeyu Gao, Chen Li, Yefeng Zheng
2025 J jnl
The Curse of Depth in Large Language Models.
CoRR
Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin, Yefeng Zheng, Shiwei Liu
2025 J jnl
Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens.
CoRR
Xixian Yong, Xiaofang Zhou, Yingying Zhang, Jinlin Li, Yefeng Zheng, Xian Wu
2025 J jnl
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation.
CoRR
Jiale Zhou, Wenhan Wang, Shikun Li, Xiaolei Qu, Xin Guo, Yizhong Liu, Wenzhong Tang, Xun Lin, Yefeng Zheng
2025 — conf
Training-free LLM Merging for Multi-task Learning.
ACL (1)
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025 J jnl
Training-free LLM Merging for Multi-task Learning.
CoRR
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025 J jnl
UniHead: Unifying Multi-Perception for Detection Heads.
IEEE Trans. Neural Networks Learn. Syst.
Hantao Zhou, Rui Yang, Yachao Zhang, Haoran Duan, Yawen Huang, Runze Hu, Xiu Li, Yefeng Zheng
2025 J jnl
Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decoder.
CoRR
Jingchao Wang, Zhijian Wu, Dingjiang Huang, Yefeng Zheng, Hong Wang
2025 J jnl
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation.
IEEE Trans. Medical Imaging
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
2025 J jnl
VPTracker: Global Vision-Language Tracking via Visual Prompt and MLLM.
CoRR
Jingchao Wang, Kaiwen Zhou, Zhijian Wu, Kunhua Ji, Dingjiang Huang, Yefeng Zheng
2025 J jnl
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification.
CoRR
Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu
2025 J jnl
X-ray Insights Unleashed: Pioneering the Enhancement of Multi-Label Long-Tail Data.
CoRR
Xinquan Yang, Jinheng Xie, Yawen Huang, Yuexiang Li, Huimin Huang, Hao Zheng, Xian Wu, Yefeng Zheng, Linlin Shen
2024 J jnl
A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling.
CoRR
Minghao Zhou, Hong Wang, Yefeng Zheng, Deyu Meng
2024 J jnl
A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram.
Biomed. Signal Process. Control.
Ziqiang Wang, Kun Wang, Xiaozhong Chen, Yefeng Zheng, Xian Wu
2024 J jnl
Acquiring New Knowledge Without Losing Old Ones for Effective Continual Dialogue Policy Learning.
IEEE Trans. Knowl. Data Eng.
Huimin Wang, Yunyan Zhang, Yifan Yang, Yefeng Zheng, Kam-Fai Wong
2024 J jnl
Adversarial Medical Image With Hierarchical Feature Hiding.
IEEE Trans. Medical Imaging
Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou
2024 J jnl
Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis.
Pattern Recognit.
Chuyan Zhang, Yuncheng Yang, Hao Zheng, Yawen Huang, Yefeng Zheng, Yun Gu
2024 — conf
Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics.
LREC/COLING
Zhihong Zhu, Yunyan Zhang, Xuxin Cheng, Zhiqi Huang, Derong Xu, Xian Wu, Yefeng Zheng
2024 J jnl
An Organ-Aware Diagnosis Framework for Radiology Report Generation.
IEEE Trans. Medical Imaging
Shiyu Li, Pengchong Qiao, Lin Wang, Munan Ning, Li Yuan, Yefeng Zheng, Jie Chen
2024 J jnl
Anomaly detection via gating highway connection for retinal fundus images.
Pattern Recognit.
Wentian Zhang, Haozhe Liu, Jinheng Xie, Yawen Huang, Yu Zhang, Yuexiang Li, Raghavendra Ramachandra, Yefeng Zheng
2024 J jnl
AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion.
CoRR
Jie Hu, Yawen Huang, Yilin Lu, Guoyang Xie, Guannan Jiang, Yefeng Zheng, Zhichao Lu
2024 J jnl
Attention Cycle-consistent universal network for More Universal Domain Adaptation.
Pattern Recognit.
Ziyun Cai, Yawen Huang, Tengfei Zhang, Xiao-Yuan Jing, Yefeng Zheng, Ling Shao
2024 — conf
Biomedical Entity Linking as Multiple Choice Question Answering.
LREC/COLING
Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng
2024 J jnl
Biomedical Entity Linking as Multiple Choice Question Answering.
CoRR
Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng
2024 J jnl
CTNeRF: Cross-Time Transformer for Dynamic Neural Radiance Field from Monocular Video.
CoRR
Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Yang Long, Yefeng Zheng
2024 J jnl
CTNeRF: Cross-time Transformer for dynamic neural radiance field from monocular video.
Pattern Recognit.
Xingyu Miao, Yang Bai, Haoran Duan, Fan Wan, Yawen Huang, Yang Long, Yefeng Zheng
2024 — conf
Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models.
EMNLP (Findings)
Yutian Zhao, Huimin Wang, Yuqi Liu, Suhuang Wu, Xian Wu, Yefeng Zheng
2024 A* conf
Causally Debiased Time-aware Recommendation.
WWW
Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
2024 A* conf
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation.
AAAI
Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng
2024 J jnl
ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields.
CoRR
Xingyu Miao, Yang Bai, Haoran Duan, Fan Wan, Yawen Huang, Yang Long, Yefeng Zheng
2024 A* conf
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal.
AAAI
Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng
2024 J jnl
Cross-Modal Vertical Federated Learning for MRI Reconstruction.
IEEE J. Biomed. Health Informatics
Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng
2024 J jnl
Cross-modality Neuroimage Synthesis: A Survey.
ACM Comput. Surv.
Guoyang Xie, Yawen Huang, Jin-Bao Wang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin
2024 A* conf
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection.
EMNLP
Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Shaorong Xie, Wei Liu, Xian Wu, Yefeng Zheng
2024 J jnl
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume.
IEEE Trans. Circuits Syst. Video Technol.
Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng
2024 J jnl
Distributional Fairness-aware Recommendation.
ACM Trans. Inf. Syst.
Hao Yang, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
2024 A conf
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
CIKM
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng
2024 J jnl
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
CoRR
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024 J jnl
Evolving to be Your Soulmate: Personalized Dialogue Agents with Dynamically Adapted Personas.
CoRR
Yi Cheng, Wenge Liu, Kaishuai Xu, Wenjun Hou, Yi Ouyang, Chak Tou Leong, Xian Wu, Yefeng Zheng
2024 — conf
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation.
MICCAI (8)
Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong
2024 A* conf
Federated Learning via Input-Output Collaborative Distillation.
AAAI
Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann
2024 A* conf
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation.
AAAI
Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng
2024 J jnl
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation.
CoRR
Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng
2024 J jnl
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection.
CoRR
Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng
2024 A* conf
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models.
CVPR
Huimin Huang, Yawen Huang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hao Zheng, Yuexiang Li, Yefeng Zheng
2024 A* conf
GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph.
WWW
Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng
2024 — conf
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation.
MICCAI (10)
Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Shaoxin Li, Yuexiang Li, Yefeng Zheng, Feiyue Huang
2024 J jnl
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction.
Medical Image Anal.
Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng
2024 Misc conf
Improving Biomedical Entity Linking with Retrieval-Enhanced Learning.
ICASSP
Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng
2024 J jnl
Improving vision transformer for medical image classification via token-wise perturbation.
J. Vis. Commun. Image Represent.
Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng
2024 A* conf
InMu-Net: Advancing Multi-modal Intent Detection via Information Bottleneck and Multi-sensory Processing.
ACM Multimedia
Zhihong Zhu, Xuxin Cheng, Zhaorun Chen, Yuyan Chen, Yunyan Zhang, Xian Wu, Yefeng Zheng, Bowen Xing
2024 — conf
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning.
LREC/COLING
Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Bin Liang, Xian Wu, Yefeng Zheng, Kam-Fai Wong
2024 — conf
Knowledge-aware Attention Network for Medication Effectiveness Prediction.
LREC/COLING
Yingying Zhang, Xian Wu, Yu Zhang, Yefeng Zheng
2024 J jnl
LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction.
IEEE Trans. Cybern.
Yi Lin, Yanfei Liu, Hao Chen, Xin Yang, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng
2024 A* conf
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation.
NeurIPS
Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao
2024 J jnl
Large Language Model Distilling Medication Recommendation Model.
CoRR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng
2024 J jnl
Large Language Model Empowered Embedding Generator for Sequential Recommendation.
CoRR
Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng
2024 J jnl
Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item.
CoRR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng
2024 J jnl
Large language models for generative information extraction: a survey.
Frontiers Comput. Sci.
Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Yang Wang, Enhong Chen
2024 J jnl
Large language models leverage external knowledge to extend clinical insight beyond language boundaries.
J. Am. Medical Informatics Assoc.
Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Shixu Lin, Yingying Zhang, Yefeng Zheng, Changzheng Yuan, Jie Yang
2024 A* conf
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation.
NeurIPS
Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Yawen Huang, Wei Ji, Yuexiang Li, Yefeng Zheng
2024 A* conf
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries.
AAAI
Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng
2024 J jnl
Learning Long-form Video Prior via Generative Pre-Training.
CoRR
Jinheng Xie, Jiajun Feng, Zhaoxu Tian, Kevin Qinghong Lin, Yawen Huang, Xi Xia, Nanxu Gong, Xu Zuo, Jiaqi Yang, Yefeng Zheng, Mike Zheng Shou
2024 J jnl
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation.
CoRR
Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng
2024 A* conf
Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation.
ACM Multimedia
Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng
2024 — conf
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets.
MICCAI (9)
Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang
2024 — conf
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis.
LREC/COLING
Yutian Zhao, Huimin Wang, Xian Wu, Yefeng Zheng
2024 J jnl
MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning.
IEEE J. Biomed. Health Informatics
Feiyang Yang, Xiongfei Li, Haoran Duan, Feilong Xu, Yawen Huang, Xiaoli Zhang, Yang Long, Yefeng Zheng
2024 A* conf
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey.
NeurIPS
Xian Wu, Yutian Zhao, Yunyan Zhang, Jiageng Wu, Zhihong Zhu, Yingying Zhang, Yi Ouyang, Ziheng Zhang, Huimin Wang, Zhenxi Lin, Jie Yang, Shuang Zhao, Yefeng Zheng
2024 J jnl
MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding.
CoRR
Jiageng Wu, Xian Wu, Yefeng Zheng, Jie Yang
2024 A* conf
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization.
ICML
Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang
2024 — conf
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.
EMNLP (Findings)
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024 J jnl
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.
CoRR
Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024 — conf
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction.
MICCAI (4)
Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King
2024 J jnl
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction.
CoRR
Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King
2024 J jnl
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis.
Int. J. Comput. Vis.
Yawen Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Guo-Jun Qi, Ling Shao, Yefeng Zheng
2024 — conf
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.
LREC/COLING
Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024 J jnl
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.
CoRR
Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
2024 — conf
Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation.
MICCAI (3)
Zhihong Zhu, Xuxin Cheng, Yunyan Zhang, Zhaorun Chen, Qingqing Long, Hongxiang Li, Zhiqi Huang, Xian Wu, Yefeng Zheng
2024 J jnl
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization.
CoRR
Peng Tu, Xun Zhou, Mingming Wang, Xiaojun Yang, Bo Peng, Ping Chen, Xiu Su, Yawen Huang, Yefeng Zheng, Chang Xu
2024 J jnl
OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning.
IEEE Trans. Medical Imaging
Hong Wang, Qi Xie, Dong Zeng, Jianhua Ma, Deyu Meng, Yefeng Zheng
2024 J jnl
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation.
CoRR
Chuyan Zhang, Hao Zheng, Xin You, Yefeng Zheng, Yun Gu
2024 A* conf
Pre-trained Online Contrastive Learning for Insurance Fraud Detection.
AAAI
Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang
2024 J jnl
Prototype Correlation Matching and Class- Relation Reasoning for Few-Shot Medical Image Segmentation.
IEEE Trans. Medical Imaging
Yumin Zhang, Hongliu Li, Yajun Gao, Haoran Duan, Yawen Huang, Yefeng Zheng
2024 J jnl
Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation.
CoRR
Yumin Zhang, Hongliu Li, Yajun Gao, Haoran Duan, Yawen Huang, Yefeng Zheng
2024 J jnl
Prototypical Graph Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang
2024 J jnl
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.
CoRR
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, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
2024 J jnl
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining.
IEEE Trans. Neural Networks Learn. Syst.
Hong Wang, Qi Xie, Qian Zhao, Yuexiang Li, Yong Liang, Yefeng Zheng, Deyu Meng
2024 J jnl
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship.
IEEE Trans. Multim.
Quanziang Wang, Renzhen Wang, Yuexiang Li, Dong Wei, Hong Wang, Kai Ma, Yefeng Zheng, Deyu Meng
2024 A* conf
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach.
IJCAI
Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng
2024 A* conf
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading.
NeurIPS
Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Haolan Zhan, Yawen Huang, Yuexiang Li, Yefeng Zheng
2024 Misc conf
Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification.
ICASSP
Qi Bi, Hao Zheng, Xu Sun, Jingjun Yi, Wentian Zhang, Yawen Huang, Yuexiang Li, Yefeng Zheng
2024 J jnl
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes.
CoRR
Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng
2024 J jnl
Self-supervised learning for medical image data with anatomy-oriented imaging planes.
Medical Image Anal.
Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng
2024 J jnl
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation.
CoRR
Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng
2024 J jnl
Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data.
Medical Image Anal.
Zhe Xu, Donghuan Lu, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong
2024 J jnl
Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations.
Medical Image Anal.
Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng
2024 — conf
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification.
MICCAI (4)
Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King
2024 A* conf
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing.
IJCAI
Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu, Xian Wu, Yefeng Zheng
2024 J jnl
Triplet-branch network with contrastive prior-knowledge embedding for disease grading.
Artif. Intell. Medicine
Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng
2024 A* conf
Tune-an-Ellipse: CLIP Has Potential to Find what you Want.
CVPR
Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou
2024 J jnl
URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction.
CoRR
Jie Song, Yue Sun, Ziyun Cai, Liang Xiao, Yawen Huang, Yefeng Zheng
2024 J jnl
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation.
CoRR
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
2024 J jnl
Unraveling Complexity: An Exploration Into Large-Scale Multimodal Signal Processing.
IEEE Intell. Syst.
Zhenyu Wen, Yuheng Ye, Jie Su, Taotao Li, Jinhao Wan, Shilian Zheng, Zhen Hong, Shibo He, Haoran Duan, Yuexiang Li, Yawen Huang, Yefeng Zheng
2024 J jnl
Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training.
IEEE Trans. Medical Imaging
Qingsong Xie, Yuexiang Li, Nanjun He, Munan Ning, Kai Ma, Guoxing Wang, Yong Lian, Yefeng Zheng
2024 A* conf
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification.
CVPR
Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu
2024 J jnl
Wearable-based behaviour interpolation for semi-supervised human activity recognition.
CoRR
Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng
2024 J jnl
Wearable-based behaviour interpolation for semi-supervised human activity recognition.
Inf. Sci.
Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng
2024 A* conf
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.
SIGIR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
2024 — conf
imapScore: Medical Fact Evaluation Made Easy.
ACL (Findings)
Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng
2023 — conf
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images.
MICCAI (3)
Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng
2023 J jnl
A New Perspective to Boost Vision Transformer for Medical Image Classification.
CoRR
Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng
2023 J jnl
A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.
IEEE Trans. Medical Imaging
Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li
2023 J jnl
A deep weakly semi-supervised framework for endoscopic lesion segmentation.
Medical Image Anal.
Yuxuan Shi, Hong Wang, Haoqin Ji, Haozhe Liu, Yuexiang Li, Nanjun He, Dong Wei, Yawen Huang, Qi Dai, Jianrong Wu, Xinrong Chen, Yefeng Zheng, Hongmeng Yu
2023 J jnl
A medical multimodal large language model for future pandemics.
npj Digit. Medicine
Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei A. Clifton, David A. Clifton
2023 J jnl
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.
Medical Image Anal.
Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li
2023 A* conf
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage.
CVPR
Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng
2023 J jnl
Adversarial Medical Image with Hierarchical Feature Hiding.
CoRR
Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou
2023 J jnl
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.
Medical Image Anal.
Zhe Xu, Yixin Wang, Donghuan Lu, Xiangde Luo, Jiangpeng Yan, Yefeng Zheng, Raymond Kai-Yu Tong
2023 J jnl
Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views.
CoRR
Dong Wei, Yawen Huang, Donghuan Lu, Yuexiang Li, Yefeng Zheng
2023 J jnl
Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation.
IEEE J. Biomed. Health Informatics
Hexiang Zhou, Yawen Huang, Yuexiang Li, Yi Zhou, Yefeng Zheng
2023 A* conf
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion.
ICCV
Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou
2023 J jnl
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion.
CoRR
Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou
2023 J jnl
COOPER: Coordinating Specialized Agents towards a Complex Dialogue Goal.
CoRR
Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng
2023 — conf
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset.
ACL (Findings)
Hanchong Zhang, Jieyu Li, Lu Chen, Ruisheng Cao, Yunyan Zhang, Yu Huang, Yefeng Zheng, Kai Yu
2023 J jnl
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset.
CoRR
Hanchong Zhang, Jieyu Li, Lu Chen, Ruisheng Cao, Yunyan Zhang, Yu Huang, Yefeng Zheng, Kai Yu
2023 — conf
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data.
MICCAI (4)
Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong
2023 J jnl
Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.
IEEE Trans. Medical Imaging
Zeyu Gao, Anyu Mao, Kefei Wu, Yang Li, Liebin Zhao, Xianli Zhang, Jialun Wu, Lisha Yu, Chao Xing, Tieliang Gong, Yefeng Zheng, Deyu Meng, Min Zhou, Chen Li
2023 A* conf
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation.
AAAI
Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng
2023 — conf
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation.
ACL (1)
Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng
2023 J jnl
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation.
CoRR
Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng
2023 A* conf
Combating Mode Collapse via Offline Manifold Entropy Estimation.
AAAI
Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng
2023 — conf
Cross-Modal Contrastive Learning for Event Extraction.
DASFAA (3)
Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi
2023 J jnl
Cross-Modal Vertical Federated Learning for MRI Reconstruction.
CoRR
Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng
2023 J jnl
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume.
CoRR
Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng
2023 J jnl
Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan.
CoRR
Meng Zhao, Yifan Hu, Ruixuan Jiang, Yuanli Zhao, Dong Zhang, Yan Zhang, Rong Wang, Yong Cao, Qian Zhang, Yonggang Ma, Jiaxi Li, Shaochen Yu, Wenjie Li, Ran Zhang, Yefeng Zheng, Shuo Wang, Jizong Zhao
2023 — conf
Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation.
EMNLP (Findings)
Lei Gao, Xinnan Zhang, Xian Wu, Shen Ge, Yefeng Zheng
2023 A* conf
Distributionally Robust Sequential Recommnedation.
SIGIR
Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
2023 A* conf
Dynamically Masked Discriminator for GANs.
NeurIPS
Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem
2023 J jnl
Dynamically Masked Discriminator for Generative Adversarial Networks.
CoRR
Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem
2023 J jnl
Editorial for the MEDIA MICCAI special issue 2021.
Medical Image Anal.
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2023 J jnl
Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network.
CoRR
Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023 J jnl
Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.
Nat. Comput. Sci.
Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023 A* conf
Exploring Social Media for Early Detection of Depression in COVID-19 Patients.
WWW
Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang
2023 J jnl
Exploring Social Media for Early Detection of Depression in COVID-19 Patients.
CoRR
Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang
2023 J jnl
FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis.
Neurocomputing
Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin
2023 J jnl
Federated Learning via Input-Output Collaborative Distillation.
CoRR
Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann
2023 A* conf
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs.
ICCV
Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang, Yefeng Zheng
2023 J jnl
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs.
CoRR
Peng Tu, Xu Xie, Ming Ling, Min Yang, Guo Ai, Yawen Huang, Yefeng Zheng
2023 A* conf
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network.
IJCAI
Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang
2023 J jnl
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG.
CoRR
Xueming Fu, Hao Zheng, Luyan Liu, Wenjuan Zhong, Haowen Liu, Wenxuan Xiong, Yuyang Zhang, Yifeng Chen, Dong Wei, Mingjie Dong, Yefeng Zheng, Mingming Zhang
2023 — conf
ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification.
EACL (Findings)
Wangjie Jiang, Zhihao Ye, Bang Liu, Ruihui Zhao, Jianguang Zheng, Mengyao Li, Zhiyong Li, Yujiu Yang, Yefeng Zheng
2023 A* conf
Identify Event Causality with Knowledge and Analogy.
AAAI
Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu
2023 J jnl
Improving Biomedical Entity Linking with Retrieval-enhanced Learning.
CoRR
Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng
2023 J jnl
Improving GAN Training via Feature Space Shrinkage.
CoRR
Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng
2023 J jnl
Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage.
IEEE Trans. Medical Imaging
Bo Liu, Donghuan Lu, Dong Wei, Xian Wu, Yan Wang, Yu Zhang, Yefeng Zheng
2023 J jnl
InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images.
Medical Image Anal.
Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng
2023 A* conf
Interactive Segmentation as Gaussian Process Classification.
CVPR
Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng
2023 J jnl
Interactive Segmentation as Gaussian Process Classification.
CoRR
Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng
2023 J jnl
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning.
CoRR
Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Xian Wu, Yefeng Zheng, Kam-Fai Wong
2023 J jnl
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment.
CoRR
Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin
2023 J jnl
Large Language Models for Generative Information Extraction: A Survey.
CoRR
Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Enhong Chen
2023 A* conf
Learning Visual Prior via Generative Pre-Training.
NeurIPS
Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou
2023 J jnl
Learning from multiple annotators for medical image segmentation.
Pattern Recognit.
Le Zhang, Ryutaro Tanno, Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
2023 A* conf
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities.
AAAI
Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng
2023 J jnl
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities.
CoRR
Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng
2023 J jnl
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation.
CoRR
Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan
2023 J jnl
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan
2023 — conf
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images.
MICCAI (10)
Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng
2023 J jnl
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images.
CoRR
Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng
2023 J jnl
MIL-ViT: A multiple instance vision transformer for fundus image classification.
J. Vis. Commun. Image Represent.
Qi Bi, Xu Sun, Shuang Yu, Kai Ma, Cheng Bian, Munan Ning, Nanjun He, Yawen Huang, Yuexiang Li, Hanruo Liu, Yefeng Zheng
2023 J jnl
MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications.
CoRR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
2023 J jnl
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
Medical Image Anal.
Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng
2023 J jnl
Probing the Impacts of Visual Context in Multimodal Entity Alignment.
Data Sci. Eng.
Meng Wang, Yinghui Shi, Han Yang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023 J jnl
Qualifying Chinese Medical Licensing Examination with Knowledge Enhanced Generative Pre-training Model.
CoRR
Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Yefeng Zheng, Jie Yang
2023 — conf
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training.
ISBI
Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng
2023 J jnl
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training.
CoRR
Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng
2023 A* conf
Relation-aware Ensemble Learning for Knowledge Graph Embedding.
EMNLP
Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023 J jnl
Relation-aware Ensemble Learning for Knowledge Graph Embedding.
CoRR
Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023 J jnl
S
IEEE Trans. Medical Imaging
Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu
2023 A* conf
Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation.
ACM Multimedia
Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng
2023 A* conf
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation.
AAAI
Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng
2023 A* conf
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation.
CVPR
Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng
2023 J jnl
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations.
CoRR
Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng
2023 — conf
Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels.
MICCAI (7)
Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong
2023 J jnl
UniHead: Unifying Multi-Perception for Detection Heads.
CoRR
Hantao Zhou, Rui Yang, Yachao Zhang, Haoran Duan, Yawen Huang, Runze Hu, Xiu Li, Yefeng Zheng
2023 J jnl
VisorGPT: Learning Visual Prior via Generative Pre-Training.
CoRR
Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou
2023 — conf
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray.
MICCAI (1)
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng
2023 J jnl
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray.
CoRR
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng
2022 A* conf
"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics.
IJCAI
Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang
2022 J jnl
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics.
CoRR
Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang
2022 J jnl
A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays.
CoRR
Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng
2022 — conf
A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images.
MICCAI (2)
Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng
2022 J jnl
A Survey of Cross-Modality Brain Image Synthesis.
CoRR
Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin
2022 A* conf
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction.
IJCAI
Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng
2022 J jnl
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction.
CoRR
Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng
2022 J jnl
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022 — conf
An Inclusive Task-Aware Framework for Radiology Report Generation.
MICCAI (8)
Lin Wang, Munan Ning, Donghuan Lu, Dong Wei, Yefeng Zheng, Jie Chen
2022 J jnl
Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022 Misc conf
BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection.
ICASSP
Jia Li, Yunyan Zhang, Yifan Yang, Zhicheng An, Yefeng Zheng
2022 J jnl
Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint.
IEEE Trans. Medical Imaging
Jiawei Chen, Ziqi Zhang, Xinpeng Xie, Yuexiang Li, Tao Xu, Kai Ma, Yefeng Zheng
2022 A* conf
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning.
AAAI
Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng
2022 — conf
CLINER: Clinical Interrogation Named Entity Recognition.
KSEM (2)
Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu
2022 J jnl
Combating Mode Collapse in GANs via Manifold Entropy Estimation.
CoRR
Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng
2022 J jnl
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network.
CoRR
Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng
2022 A* conf
Contractible Regularization for Federated Learning on Non-IID Data.
ICDM
Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, YangTian Yan, Yefeng Zheng
2022 J jnl
Cross-Domain Gated Learning for Domain Generalization.
Int. J. Comput. Vis.
Dapeng Du, Jiawei Chen, Yuexiang Li, Kai Ma, Gangshan Wu, Yefeng Zheng, Limin Wang
2022 J jnl
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection.
CoRR
Heqin Zhu, Xu Sun, Yuexiang Li, Kai Ma, S. Kevin Zhou, Yefeng Zheng
2022 J jnl
DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images.
IEEE Trans. Medical Imaging
Hong Wang, Yuexiang Li, Nanjun He, Kai Ma, Deyu Meng, Yefeng Zheng
2022 J jnl
Decoupled Mixup for Generalized Visual Recognition.
CoRR
Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng
2022 — conf
Decoupled Mixup for Out-of-Distribution Visual Recognition.
ECCV Workshops (6)
Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng
2022 J jnl
Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging.
CoRR
Dong Wei, Yiming Li, Yinyan Wang, Tianyi Qian, Yefeng Zheng
2022 J jnl
Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging
Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao
2022 — conf
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration.
MICCAI (6)
Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng
2022 J jnl
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration.
CoRR
Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng
2022 B conf
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis.
COLING
Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, YangTian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao
2022 J jnl
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis.
CoRR
Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, YangTian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao
2022 — conf
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data.
MICCAI (5)
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong
2022 — conf
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation.
ECCV (20)
Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng
2022 J jnl
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation.
CoRR
Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng
2022 J jnl
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation.
CoRR
Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng
2022 J jnl
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging
Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng
2022 — conf
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
MICCAI (6)
Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah F. Frisken, Jayender Jagadeesan, William M. Wells III, Xiu Li, Yefeng Zheng, Raymond Kai-Yu Tong
2022 J jnl
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss.
CoRR
Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin
2022 A* conf
FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss.
ACM Multimedia
Jinbao Wang, Guoyang Xie, Yawen Huang, Yefeng Zheng, Yaochu Jin, Feng Zheng
2022 J jnl
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis.
CoRR
Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Jingkuan Song, Yaochu Jin
2022 B conf
Finding Influential Instances for Distantly Supervised Relation Extraction.
COLING
Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng
2022 — conf
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks.
ECCV (34)
Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng
2022 A* conf
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning.
EMNLP
Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng
2022 J jnl
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning.
CoRR
Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng
2022 — conf
InDISP: An Interpretable Model for Dynamic Illness Severity Prediction.
DASFAA (2)
Xinyu Ma, Meng Wang, Xing Liu, Yifan Yang, Yefeng Zheng, Sen Wang
2022 J jnl
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging
Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao
2022 J jnl
Knowing the Past to Predict the Future: Reinforcement Virtual Learning.
CoRR
Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long
2022 J jnl
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images.
CoRR
Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng
2022 A* conf
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit.
ICDM
Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li
2022 J jnl
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation.
CoRR
Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng
2022 — conf
Lesion Guided Explainable Few Weak-Shot Medical Report Generation.
MICCAI (5)
Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng
2022 J jnl
Lesion Guided Explainable Few Weak-shot Medical Report Generation.
CoRR
Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng
2022 A conf
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.
CIKM
Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang
2022 A conf
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction.
CIKM
Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng
2022 J jnl
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction.
CoRR
Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Siheng Li, Bang Liu, Yujiu Yang, Yefeng Zheng
2022 — conf
MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation.
NLPCC (1)
Wenge Liu, Jianheng Tang, Yi Cheng, Wenjie Li, Yefeng Zheng, Xiaodan Liang
2022 A* conf
Medical Symptom Detection in Intelligent Pre-Consultation Using Bi-directional Hard-Negative Noise Contrastive Estimation.
KDD
Shiwei Zhang, Jichao Sun, Yu Huang, Xueqi Ding, Yefeng Zheng
2022 J jnl
Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data.
IEEE J. Biomed. Health Informatics
Yuexiang Li, Jiawei Chen, Dong Wei, Yanchun Zhu, Jianrong Wu, Junfeng Xiong, Yadong Gang, Wenbo Sun, Haibo Xu, Tianyi Qian, Kai Ma, Yefeng Zheng
2022 B conf
Multi-modal Contrastive Representation Learning for Entity Alignment.
COLING
Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng
2022 J jnl
Multi-modal Contrastive Representation Learning for Entity Alignment.
CoRR
Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng
2022 — conf
Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images.
MICCAI (2)
Wenguang Yuan, Donghuan Lu, Dong Wei, Munan Ning, Yefeng Zheng
2022 — conf
Orientation-Shared Convolution Representation for CT Metal Artifact Learning.
MICCAI (6)
Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng
2022 J jnl
Orientation-Shared Convolution Representation for CT Metal Artifact Learning.
CoRR
Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng
2022 A* conf
PAC-Bayes Information Bottleneck.
ICLR
Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
2022 — conf
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays.
MICCAI (3)
Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng
2022 — conf
Probing the Impacts of Visual Context in Multimodal Entity Alignment.
APWeb/WAIM (2)
Yinghui Shi, Meng Wang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2022 B conf
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words.
COLING
Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu
2022 J jnl
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words.
CoRR
Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu
2022 A* conf
QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations.
WWW
Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu
2022 J jnl
Robust Representation via Dynamic Feature Aggregation.
CoRR
Haozhe Liu, Haoqin Ji, Yuexiang Li, Nanjun He, Haoqian Wu, Feng Liu, Linlin Shen, Yefeng Zheng
2022 J jnl
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression.
CoRR
Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng
2022 J jnl
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.
CoRR
Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng
2022 J jnl
TW-GAN: Topology and width aware GAN for retinal artery/vein classification.
Medical Image Anal.
Wenting Chen, Shuang Yu, Kai Ma, Wei Ji, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng
2022 A* conf
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.
ICDE
Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu
2022 J jnl
Understanding Patient Query With Weak Supervision From Doctor Response.
IEEE J. Biomed. Health Informatics
Xiaoming Shi, Sendong Zhao, Yuxuan Wang, Xi Chen, Ziheng Zhang, Yefeng Zheng, Wanxiang Che
2022 J jnl
Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.
IEEE Trans. Medical Imaging
Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li
2022 J jnl
mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains.
Bioinform.
YuanYuan Li, Jun Wu, Donghuan Lu, Chao Xu, Yefeng Zheng, Hanchuan Peng, Lei Qu
2022 — conf
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.
MICCAI (5)
Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng
2022 J jnl
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.
CoRR
Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng
2021 — conf
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks.
MICCAI (3)
Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou
2021 — conf
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.
IPMI
Munan Ning, Cheng Bian, Dong Wei, Shuang Yu, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng
2021 J jnl
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.
CoRR
Munan Ning, Cheng Bian, Dong Wei, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng
2021 J jnl
A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data.
IEEE Trans. Medical Imaging
Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng
2021 J jnl
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data.
CoRR
Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng
2021 J jnl
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.
Medical Image Anal.
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Jichao Zhao
2021 J jnl
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation.
CoRR
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2021 A conf
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix.
BMVC
Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng
2021 J jnl
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix.
CoRR
Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng
2021 A* conf
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective.
AAAI
Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng
2021 J jnl
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features.
IEEE Trans. Medical Imaging
He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng
2021 — conf
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse.
SemEval@ACL/IJCNLP
Jiarun Cao, Yuejia Xiang, Yunyan Zhang, Zhiyuan Qi, Xi Chen, Yefeng Zheng
2021 A* conf
Calibrated RGB-D Salient Object Detection.
CVPR
Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng
2021 J jnl
Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation.
Pattern Recognit.
Qian Yu, Yang Gao, Yefeng Zheng, Jianbing Zhu, Yakang Dai, Yinghuan Shi
2021 — conf
Deep Reinforcement Exemplar Learning for Annotation Refinement.
MICCAI (8)
Yuexiang Li, Nanjun He, Sixiang Peng, Kai Ma, Yefeng Zheng
2021 J jnl
Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification.
IEEE Trans. Neural Networks Learn. Syst.
He Zhao, Qingqing Zheng, Kai Ma, Huiqi Li, Yefeng Zheng
2021 J jnl
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation.
CoRR
Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao
2021 J jnl
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration.
CoRR
Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Jayender Jagadeesan, William M. Wells III, Sarah F. Frisken, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2021 A* conf
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion.
WWW
Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu
2021 J jnl
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion.
CoRR
Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu
2021 — conf
Feature Library: A Benchmark for Cervical Lesion Segmentation.
IPMI
Yuexiang Li, Jiawei Chen, Kai Ma, Yefeng Zheng
2021 B conf
FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data.
IJCNN
Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu
2021 A* conf
From Rain Generation to Rain Removal.
CVPR
Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng
2021 J jnl
GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description.
Medical Image Anal.
Yuexiang Li, Zhi-Hua Liu, Peng Xue, Jiawei Chen, Kai Ma, Tianyi Qian, Yefeng Zheng, Youlin Qiao
2021 — conf
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.
IPMI
Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
2021 J jnl
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation.
CoRR
Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
2021 — conf
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting.
ACL/IJCNLP (1)
Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng
2021 J jnl
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting.
CoRR
Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng
2021 — conf
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management.
NAACL-HLT
Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng
2021 J jnl
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management.
CoRR
Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng
2021 — conf
Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge.
PAKDD (2)
Zhihao Ye, Rui Wen, Xi Chen, Ye Liu, Ziheng Zhang, Zhiyong Li, Ke Nai, Yefeng Zheng
2021 J jnl
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images.
CoRR
Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng
2021 — conf
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction.
MICCAI (6)
Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng
2021 J jnl
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation.
CoRR
Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao
2021 — conf
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.
ACL/IJCNLP (1)
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
2021 J jnl
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.
CoRR
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
2021 J jnl
LE-NAS: Learning-based Ensenble with NAS for Dose Prediction.
CoRR
Yi Lin, Yanfei Liu, Jingguang Liu, Guocai Liu, Kai Ma, Yefeng Zheng
2021 A* conf
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling.
CVPR
Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng
2021 — conf
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation.
ISBI
Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng
2021 — conf
Lifelong Learning Based Disease Diagnosis on Clinical Notes.
PAKDD (1)
Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng
2021 J jnl
Lifelong Learning based Disease Diagnosis on Clinical Notes.
CoRR
Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng
2021 — conf
Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification.
MICCAI (8)
Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma, Yefeng Zheng
2021 — conf
MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.
MICCAI (8)
Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng
2021 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I
MICCAI (1)
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part II
MICCAI (2)
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part III
MICCAI (3)
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV
MICCAI (4)
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V
MICCAI (5)
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI
MICCAI (6)
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII
MICCAI (7)
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII
MICCAI (8)
Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert
2021 J jnl
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures.
CoRR
Luyan Liu, Zhiwei Wen, Songwei Liu, Hong-Yu Zhou, Hongwei Zhu, Weicheng Xie, Linlin Shen, Kai Ma, Yefeng Zheng
2021 A* conf
Multi-Anchor Active Domain Adaptation for Semantic Segmentation.
ICCV
Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng
2021 J jnl
Multi-Anchor Active Domain Adaptation for Semantic Segmentation.
CoRR
Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng
2021 J jnl
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint.
CoRR
Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng
2021 — conf
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
MICCAI (1)
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li
2021 J jnl
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
CoRR
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li
2021 A* conf
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
WWW
Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng
2021 — conf
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding.
ACL/IJCNLP (Findings)
Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng
2021 J jnl
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding.
CoRR
Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng
2021 J jnl
PAC-Bayes Information Bottleneck.
CoRR
Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
2021 A conf
PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System.
CIKM
Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng
2021 J jnl
PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System.
CoRR
Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng
2021 — conf
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.
ACL/IJCNLP (1)
Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Xu Ming, Yefeng Zheng
2021 J jnl
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.
CoRR
Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Ming Xu, Yefeng Zheng
2021 J jnl
Pairwise learning for medical image segmentation.
Medical Image Anal.
Renzhen Wang, Shilei Cao, Kai Ma, Yefeng Zheng, Deyu Meng
2021 J jnl
Prototypical Graph Contrastive Learning.
CoRR
Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang
2021 J jnl
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation.
CoRR
Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng
2021 — conf
Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation.
ISBI
Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng
2021 — conf
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.
EMNLP (Findings)
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
2021 J jnl
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.
CoRR
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
2021 J jnl
Residual Moment Loss for Medical Image Segmentation.
CoRR
Quanziang Wang, Renzhen Wang, Yuexiang Li, Kai Ma, Yefeng Zheng, Deyu Meng
2021 J jnl
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship.
CoRR
Quanziang Wang, Yuexiang Li, Dong Wei, Renzhen Wang, Kai Ma, Yefeng Zheng, Deyu Meng
2021 J jnl
S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
Medical Image Anal.
Luyan Liu, Zhengdong Zhang, Shuai Li, Kai Ma, Yefeng Zheng
2021 — conf
Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression.
MICCAI (5)
Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng
2021 — conf
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.
MICCAI (8)
Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng
2021 A* conf
Stabilized Medical Image Attacks.
ICLR
Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng
2021 J jnl
Stabilized Medical Image Attacks.
CoRR
Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng
2021 J jnl
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.
CoRR
Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu
2021 J jnl
The Medical Segmentation Decathlon.
CoRR
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
2021 — conf
The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization.
ISBI
Xing Tao, Chenglang Yuan, Cheng Bian, Yuexiang Li, Kai Ma, Dong Ni, Yefeng Zheng
2021 A* conf
Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis.
ICDM
Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li
2021 J jnl
Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views.
CoRR
Dong Wei, Kai Ma, Yefeng Zheng
2021 — conf
Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views.
MICCAI (6)
Dong Wei, Kai Ma, Yefeng Zheng
2021 — conf
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading.
MICCAI (5)
Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng
2021 A* conf
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding.
IJCAI
Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng
2021 J jnl
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding.
CoRR
Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng
2021 — conf
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification.
MICCAI (5)
Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng
2021 J jnl
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification.
CoRR
Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng
2020 J jnl
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao
2020 J jnl
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks.
CoRR
Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou
2020 — conf
A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation.
MICCAI (5)
Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng
2020 J jnl
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation.
CoRR
Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng
2020 — conf
A Multi-Task Self-Supervised Learning Framework for Scopy Images.
ISBI
Yuexiang Li, Jiawei Chen, Yefeng Zheng
2020 — conf
An Industry Evaluation of Embedding-based Entity Alignment.
COLING (Industry)
Ziheng Zhang, Hualuo Liu, Jiaoyan Chen, Xi Chen, Bo Liu, Yuejia Xiang, Yefeng Zheng
2020 J jnl
An Industry Evaluation of Embedding-based Entity Alignment.
CoRR
Ziheng Zhang, Jiaoyan Chen, Xi Chen, Hualuo Liu, Yuejia Xiang, Bo Liu, Yefeng Zheng
2020 — conf
Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network.
CADA@MICCAI
Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng
2020 J jnl
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations.
CoRR
Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng
2020 — conf
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations.
MICCAI (1)
Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng
2020 J jnl
Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images.
IEEE Trans. Medical Imaging
Yuexiang Li, Jiawei Chen, Peng Xue, Chao Tang, Jia Chang, Chunyan Chu, Kai Ma, Qing Li, Yefeng Zheng, Youlin Qiao
2020 J jnl
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network.
IEEE Trans. Medical Imaging
Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng
2020 A* conf
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift.
IJCAI
Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng
2020 J jnl
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift.
CoRR
Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng
2020 J jnl
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation.
CoRR
Qian Yu, Yinghuan Shi, Yefeng Zheng, Yang Gao, Jianbing Zhu, Yakang Dai
2020 — conf
Deep Image Clustering with Category-Style Representation.
ECCV (14)
Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng
2020 J jnl
Deep Image Clustering with Category-Style Representation.
CoRR
Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng
2020 — conf
Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imaging.
Computer-Aided Diagnosis
Dong Wei, Yiming Li, Yinyan Wang, Tianyi Qian, Yefeng Zheng
2020 — conf
Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling.
MICCAI (1)
Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng
2020 J jnl
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling.
CoRR
Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng
2020 — conf
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications.
MICCAI (2)
Lijun Gong, Kai Ma, Yefeng Zheng
2020 J jnl
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications.
CoRR
Lijun Gong, Kai Ma, Yefeng Zheng
2020 — conf
Dual Adversarial Network for Deep Active Learning.
ECCV (24)
Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng
2020 J jnl
Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.
IEEE J. Biomed. Health Informatics
Yuexiang Li, Dong Wei, Jiawei Chen, Shilei Cao, Hongyu Zhou, Yanchun Zhu, Jianrong Wu, Lan Lan, Wenbo Sun, Tianyi Qian, Kai Ma, Haibo Xu, Yefeng Zheng
2020 — conf
Ensembled ResUnet for Anatomical Brain Barriers Segmentation.
MICCAI (Challenges)
Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng
2020 J jnl
Ensembled ResUnet for Anatomical Brain Barriers Segmentation.
CoRR
Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng
2020 J jnl
Finding Influential Instances for Distantly Supervised Relation Extraction.
CoRR
Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng
2020 — conf
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy.
MICCAI (5)
Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng
2020 J jnl
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy.
CoRR
Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng
2020 A* conf
Generative Adversarial Networks for Video-to-Video Domain Adaptation.
AAAI
Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng
2020 J jnl
Generative Adversarial Networks for Video-to-Video Domain Adaptation.
CoRR
Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng
2020 A* conf
INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare.
KDD
Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson
2020 A* conf
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback.
NeurIPS
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng
2020 J jnl
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback.
CoRR
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng
2020 — conf
Instance-Aware Self-supervised Learning for Nuclei Segmentation.
MICCAI (5)
Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
2020 J jnl
Instance-aware Self-supervised Learning for Nuclei Segmentation.
CoRR
Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
2020 A* conf
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation.
CVPR
Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng
2020 J jnl
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation.
CoRR
Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng
2020 — conf
Learning Crisp Edge Detector Using Logical Refinement Network.
MICCAI (4)
Luyan Liu, Kai Ma, Yefeng Zheng
2020 J jnl
Learning Crisp Edge Detector Using Logical Refinement Network.
CoRR
Luyan Liu, Kai Ma, Yefeng Zheng
2020 — conf
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification.
MICCAI (1)
Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng
2020 J jnl
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification.
CoRR
Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng
2020 — conf
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning.
MICCAI (1)
Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng
2020 J jnl
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning.
CoRR
Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng
2020 — conf
MI
MICCAI (2)
Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
2020 J jnl
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint.
CoRR
Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
2020 — conf
Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis.
ISBI
Bingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao
2020 J jnl
Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis.
CoRR
Bingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao
2020 J jnl
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification.
CoRR
Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng
2020 J jnl
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
CoRR
Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng
2020 J jnl
Quality Control of Neuron Reconstruction Based on Deep Learning.
CoRR
Donghuan Lu, Sujun Zhao, Peng Xie, Kai Ma, Lijuan Liu, Yefeng Zheng
2020 J jnl
RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System.
CoRR
Yi Liu, Xingliang Yuan, Ruihui Zhao, Yifeng Zheng, Yefeng Zheng
2020 — conf
Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation.
MICCAI (4)
Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng
2020 J jnl
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation.
CoRR
Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng
2020 J jnl
Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis.
Medical Image Anal.
Jiuwen Zhu, Yuexiang Li, Yifan Hu, Kai Ma, S. Kevin Zhou, Yefeng Zheng
2020 J jnl
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation.
CoRR
Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng
2020 — conf
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation.
MICCAI (1)
Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng
2020 — conf
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation.
ECCV (20)
Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
2020 — conf
Superpixel-Guided Label Softening for Medical Image Segmentation.
MICCAI (4)
Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng
2020 J jnl
Superpixel-Guided Label Softening for Medical Image Segmentation.
CoRR
Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng
2020 — conf
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification.
MICCAI (5)
Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng
2020 J jnl
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification.
CoRR
Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng
2020 J jnl
Uncertainty-aware domain alignment for anatomical structure segmentation.
Medical Image Anal.
Cheng Bian, Chenglang Yuan, Jiexiang Wang, Meng Li, Xin Yang, Shuang Yu, Kai Ma, Jin Yuan, Yefeng Zheng
2019 J jnl
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage.
CoRR
Yifan Hu, Yefeng Zheng
2019 J jnl
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster.
CoRR
Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng
2019 — conf
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster.
MICCAI (6)
Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng
2019 J jnl
Combo loss: Handling input and output imbalance in multi-organ segmentation.
Comput. Medical Imaging Graph.
Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
2019 J jnl
Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks.
CoRR
Chenglang Yuan, Cheng Bian, Hongjian Kang, Shu Liang, Kai Ma, Yefeng Zheng
2019 J jnl
Med3D: Transfer Learning for 3D Medical Image Analysis.
CoRR
Sihong Chen, Kai Ma, Yefeng Zheng
2019 J jnl
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans.
IEEE Trans. Pattern Anal. Mach. Intell.
Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
2019 — conf
Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification.
MICCAI (1)
Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng
2019 — conf
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.
MMMI@MICCAI
Yu Chen, Jiawei Chen, Dong Wei, Yuexiang Li, Yefeng Zheng
2019 J jnl
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.
CoRR
Yu Chen, Yuexiang Li, Jiawei Chen, Yefeng Zheng
2019 — conf
Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network.
MICCAI (6)
Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng
2019 — conf
Seg4Reg Networks for Automated Spinal Curvature Estimation.
CSI@MICCAI
Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng
2019 — conf
Select, Attend, and Transfer: Light, Learnable Skip Connections.
MLMI@MICCAI
Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
2019 — conf
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube.
MICCAI (4)
Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng
2019 J jnl
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube.
CoRR
Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng
2019 J jnl
Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence.
CoRR
Sihong Chen, Weiping Yu, Kai Ma, Xinlong Sun, Xiaona Lin, Desheng Sun, Yefeng Zheng
2019 J jnl
TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos.
CoRR
Sihong Chen, Kai Ma, Yefeng Zheng
2019 J jnl
Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.
Medical Image Anal.
Jinzheng Cai, Zizhao Zhang, Lei Cui, Yefeng Zheng, Lin Yang
2019 J jnl
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images.
CoRR
Jiexiang Wang, Cheng Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng
2019 A* conf
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks.
CVPR
Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng
2019 J jnl
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks.
CoRR
Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng
2018 J jnl
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation.
CoRR
Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
2018 — conf
Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes.
MICCAI (4)
Pengyue Zhang, Fusheng Wang, Yefeng Zheng
2018 J jnl
Deep similarity learning for multimodal medical images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Xi Cheng, Li Zhang, Yefeng Zheng
2018 — conf
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning.
ACCV (1)
Haofu Liao, Gareth Funka-Lea, Yefeng Zheng, Jiebo Luo, Shaohua Kevin Zhou
2018 J jnl
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning.
CoRR
Haofu Liao, Gareth Funka-Lea, Yefeng Zheng, Jiebo Luo, Shaohua Kevin Zhou
2018 — conf
Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation.
STACOM@MICCAI
Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yuan Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng
2018 J jnl
Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation.
CoRR
Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yuan Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng
2018 J jnl
Select, Attend, and Transfer: Light, Learnable Skip Connections.
CoRR
Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
2018 A* conf
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network.
CVPR
Zizhao Zhang, Lin Yang, Yefeng Zheng
2018 J jnl
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network.
CoRR
Zizhao Zhang, Lin Yang, Yefeng Zheng
2018 J jnl
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets.
CoRR
Hong-Yu Zhou, Avital Oliver, Jianxin Wu, Yefeng Zheng
2017 J jnl
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes.
CoRR
Assaf Hoogi, John W. Lambert, Yefeng Zheng, Dorin Comaniciu, Daniel L. Rubin
2017 — ch.
Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context.
Deep Learning and Convolutional Neural Networks for Medical Image Computing
Yefeng Zheng, David Liu, Bogdan Georgescu, Daguang Xu, Dorin Comaniciu
2017 — book
Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets
Deep Learning and Convolutional Neural Networks for Medical Image Computing
Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
2017 — ch.
Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis.
Deep Learning and Convolutional Neural Networks for Medical Image Computing
Gustavo Carneiro, Yefeng Zheng, Fuyong Xing, Lin Yang
2017 — ch.
Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning.
Deep Learning and Convolutional Neural Networks for Medical Image Computing
Yefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu
2017 — conf
Self supervised deep representation learning for fine-grained body part recognition.
ISBI
Pengyue Zhang, Fusheng Wang, Yefeng Zheng
2016 — conf
Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning.
MICCAI (3)
Mehmet A. Gülsün, Gareth Funka-Lea, Puneet Sharma, Saikiran Rapaka, Yefeng Zheng
2016 — conf
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images.
MICCAI (2)
Hao Chen, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou
2016 J jnl
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images.
CoRR
Hao Chen, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou
2016 J jnl
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
IEEE Trans. Medical Imaging
Florin C. Ghesu, Edward Krubasik, Bogdan Georgescu, Vivek K. Singh, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu
2016 — conf
Real-time 2D/3D registration via CNN regression.
ISBI
Shun Miao, Z. Jane Wang, Yefeng Zheng, Rui Liao
2016 — conf
Structure-Aware Rank-1 Tensor Approximation for Curvilinear Structure Tracking Using Learned Hierarchical Features.
MICCAI (1)
Peng Chu, Yu Pang, Erkang Cheng, Ying J. Zhu, Yefeng Zheng, Haibin Ling
2015 — conf
3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data.
MICCAI (1)
Yefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu
2015 J jnl
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement.
IEEE Trans. Medical Imaging
Qian Wang, Le Lu, Dijia Wu, Noha Youssry El-Zehiry, Yefeng Zheng, Dinggang Shen, Shaohua Kevin Zhou
2015 J jnl
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets.
IEEE Trans. Medical Imaging
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, Maria A. Zuluaga, Julián Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B. Michael Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode
2015 — conf
Component-composition based heart isolation for 3D volume visualization of coronary arteries.
ISBI
Mingqing Chen, Hua Zhong, Yefeng Zheng, Gareth Funka-Lea
2015 — conf
Cross-modality medical image detection and segmentation by transfer learning of shapel priors.
ISBI
Yefeng Zheng
2015 — conf
Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data.
MICCAI (1)
Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu
2014 — conf
CTA Coronary Labeling through Efficient Geodesics between Trees Using Anatomy Priors.
MICCAI (2)
Mehmet A. Gülsün, Gareth Funka-Lea, Yefeng Zheng, Matthias Eckert
2014 B conf
Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization.
Image Processing
Felix Lugauer, Jingdan Zhang, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm
2014 — book
Marginal Space Learning for Medical Image Analysis - Efficient Detection and Segmentation of Anatomical Structures
Yefeng Zheng, Dorin Comaniciu
2014 J jnl
Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation.
IEEE Trans. Medical Imaging
Yefeng Zheng, Dong Yang, Matthias John, Dorin Comaniciu
2014 — conf
Pericardium Based Model Fusion of CT and Non-contrasted C-arm CT for Visual Guidance in Cardiac Interventions.
MICCAI (2)
Yefeng Zheng
2014 — conf
Precise Lumen Segmentation in Coronary Computed Tomography Angiography.
MCV
Felix Lugauer, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm
2014 — conf
Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection.
ISBI
Alexander G. Schwing, Yefeng Zheng
2014 — conf
Sparse Appearance Learning Based Automatic Coronary Sinus Segmentation in CTA.
MICCAI (1)
Shiyang Lu, Xiaojie Huang, Zhiyong Wang, Yefeng Zheng
2013 — conf
Automatic 3D Motion Estimation of Left Ventricle from C-arm Rotational Angiocardiography Using a Prior Motion Model and Learning Based Boundary Detector.
MICCAI (3)
Mingqing Chen, Yefeng Zheng, Yang Wang, Kerstin Müller, Guenter Lauritsch
2013 J jnl
Automatic and efficient contrast-based 2-D/3-D fusion for trans-catheter aortic valve implantation (TAVI).
Comput. Medical Imaging Graph.
Rui Liao, Shun Miao, Yefeng Zheng
2013 — conf
Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation.
MCV
Le Lu, Pandu R. Devarakota, Siddharth Vikal, Dijia Wu, Yefeng Zheng, Matthias Wolf
2013 B conf
Graph cuts based left atrium segmentation refinement and right middle pulmonary vein extraction in C-arm CT.
Image Processing
Dong Yang, Yefeng Zheng, Matthias John
2013 J jnl
Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images.
IEEE Trans. Medical Imaging
Mingqing Chen, Kunlin Cao, Yefeng Zheng, R. Alfredo C. Siochi
2013 — conf
Robust and Accurate Coronary Artery Centerline Extraction in CTA by Combining Model-Driven and Data-Driven Approaches.
MICCAI (3)
Yefeng Zheng, Hüseyin Tek, Gareth Funka-Lea
2013 J jnl
Spine detection in CT and MR using iterated marginal space learning.
Medical Image Anal.
B. Michael Kelm, Michael Wels, Shaohua Kevin Zhou, Sascha Seifert, Michael Sühling, Yefeng Zheng, Dorin Comaniciu
2012 — conf
3D Lung Tumor Motion Model Extraction from 2D Projection Images of Mega-voltage Cone Beam CT via Optimal Graph Search.
MICCAI (1)
Mingqing Chen, Junjie Bai, Yefeng Zheng, R. Alfredo C. Siochi
2012 J jnl
Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT for Transcatheter Aortic Valve Implantation.
IEEE Trans. Medical Imaging
Yefeng Zheng, Matthias John, Rui Liao, Alois Nöttling, Jan M. Boese, Jörg Kempfert, Thomas Walther, Gernot Brockmann, Dorin Comaniciu
2012 — conf
Automatic Heart Isolation in 3D CT Images.
MCV
Hua Zhong, Yefeng Zheng, Gareth Funka-Lea, Fernando Vega Higuera
2012 — conf
Catheter Tracking via Online Learning for Dynamic Motion Compensation in Transcatheter Aortic Valve Implantation.
MICCAI (2)
Peng Wang, Yefeng Zheng, Matthias John, Dorin Comaniciu
2012 — conf
Enhancement of organ of interest via background subtraction in cone beam rotational angiocardiogram.
ISBI
Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Dorin Comaniciu
2012 — conf
Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries.
MLMI
Yefeng Zheng, Jianhua Shen, Hüseyin Tek, Gareth Funka-Lea
2012 — conf
Personalized learning-based segmentation of thoracic aorta and main branches for diagnosis and treatment planning.
ISBI
Dime Vitanovski, Kristof Ralovich, Razvan Ioan Ionasec, Yefeng Zheng, Michael Sühling, Waldemar Krawtschuk, Joachim Hornegger, Dorin Comaniciu
2012 — conf
Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory.
MICCAI (2)
Chao Lu, Yefeng Zheng, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Christian Tietjen, Thomas Boettger, James S. Duncan, Shaohua Kevin Zhou
2012 — conf
Precise segmentation of the left atrium in C-arm CT volumes with applications to atrial fibrillation ablation.
ISBI
Yefeng Zheng, Matthias John, Jan M. Boese, Dorin Comaniciu
2012 — conf
Robust pigtail catheter tip detection in fluoroscopy.
Image-Guided Procedures
Stratis Tzoumas, Peng Wang, Yefeng Zheng, Matthias John, Dorin Comaniciu
2012 — conf
Segmentation and removal of pulmonary arteries, veins and left atrial appendage for visualizing coronary and bypass arteries.
CVPR Workshops
Hua Zhong, Yefeng Zheng, Gareth Funka-Lea, Fernando Vega Higuera
2011 — conf
A hybrid method for 2-D/3-D registration between 3-D volumes and 2-D angiography for trans-catheter aortic valve implantation (TAVI).
ISBI
Shun Miao, Rui Liao, Yefeng Zheng
2011 A* conf
Adaptive random forest - How many "experts" to ask before making a decision?
CVPR
Alexander G. Schwing, Christopher Zach, Yefeng Zheng, Marc Pollefeys
2011 — conf
Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram.
MICCAI (3)
Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu
2011 — conf
Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography.
MICCAI (3)
B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu
2011 — conf
Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures.
MICCAI (3)
Yefeng Zheng, Hüseyin Tek, Gareth Funka-Lea, Shaohua Kevin Zhou, Fernando Vega Higuera, Dorin Comaniciu
2011 B conf
Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes.
Image Processing
Yefeng Zheng, Maciej Loziczonek, Bogdan Georgescu, Shaohua Kevin Zhou, Fernando Vega Higuera, Dorin Comaniciu
2011 — conf
Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures.
MICCAI (1)
Sasa Grbic, Razvan Ioan Ionasec, Yang Wang, Tommaso Mansi, Bogdan Georgescu, Matthias John, Jan M. Boese, Yefeng Zheng, Nassir Navab, Dorin Comaniciu
2011 — conf
Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation.
MICCAI (3)
Yefeng Zheng, Tianzhou Wang, Matthias John, Shaohua Kevin Zhou, Jan M. Boese, Dorin Comaniciu
2011 J jnl
Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking.
IEEE Trans. Medical Imaging
Lin Yang, Bogdan Georgescu, Yefeng Zheng, Yang Wang, Peter Meer, Dorin Comaniciu
2010 — conf
Aortic valve and ascending aortic root modeling from 3D and 3D+t CT.
Image-Guided Procedures
Sasa Grbic, Razvan Ioan Ionasec, Dominik Zäuner, Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
2010 — conf
Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation.
MICCAI (1)
Yefeng Zheng, Matthias John, Rui Liao, Jan M. Boese, Uwe Kirschstein, Bogdan Georgescu, Shaohua Kevin Zhou, Jörg Kempfert, Thomas Walther, Gernot Brockmann
2010 — conf
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning.
MCV
B. Michael Kelm, Shaohua Kevin Zhou, Michael Sühling, Yefeng Zheng, Michael Wels, Dorin Comaniciu
2010 — conf
Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images.
MLMI
Sushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu
2010 — conf
Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization.
MLMI
Yefeng Zheng, Fernando Vega Higuera, Shaohua Kevin Zhou, Dorin Comaniciu
2010 — conf
Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management.
STACOM/CESC
Razvan Ioan Ionasec, Ingmar Voigt, Viorel Mihalef, Sasa Grbic, Dime Vitanovski, Yang Wang, Yefeng Zheng, Joachim Hornegger, Nassir Navab, Bogdan Georgescu
2010 — conf
Patient-specific modeling of left heart anatomy, dynamics and hemodynamics from high resolution 4D CT.
ISBI
Viorel Mihalef, Razvan Ioan Ionasec, Yang Wang, Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
2010 — conf
System to Guide Transcatheter Aortic Valve Implantations Based on Interventional C-Arm CT Imaging.
MICCAI (1)
Matthias John, Rui Liao, Yefeng Zheng, Alois Nöttling, Jan M. Boese, Uwe Kirschstein, Jörg Kempfert, Thomas Walther
2009 B conf
Automatic left ventricle detection in MRI images using marginal space learning and component-based voting.
Image Processing
Yefeng Zheng, Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edgar Mueller, Dorin Comaniciu
2009 A* conf
Constrained marginal space learning for efficient 3D anatomical structure detection in medical images.
CVPR
Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaohua Kevin Zhou, Michael Scheuering, Dorin Comaniciu
2009 — conf
Fast and Robust 3-D MRI Brain Structure Segmentation.
MICCAI (1)
Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, Dorin Comaniciu
2009 B conf
Left ventricle endocardium segmentation for cardiac CT volumes using an optimal smooth surface.
Image Processing
Yefeng Zheng, Bogdan Georgescu, Fernando Vega Higuera, Dorin Comaniciu
2009 — conf
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images.
IPMI
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
2009 A* conf
Robust object detection using marginal space learning and ranking-based multi-detector aggregation: Application to left ventricle detection in 2D MRI images.
CVPR
Yefeng Zheng, Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edgar Mueller, Dorin Comaniciu
2009 J jnl
Signature Detection and Matching for Document Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stefan Jaeger
2008 A* conf
3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers.
CVPR
Lin Yang, Bogdan Georgescu, Yefeng Zheng, Peter Meer, Dorin Comaniciu
2008 — conf
A fast and accurate tracking algorithm of left ventricles in 3D echocardiography.
ISBI
Lin Yang, Bogdan Georgescu, Yefeng Zheng, David J. Foran, Dorin Comaniciu
2008 — conf
AutoMPR: Automatic detection of standard planes in 3D echocardiography.
ISBI
Xiaoguang Lu, Bogdan Georgescu, Yefeng Zheng, Joanne Otsuki, Dorin Comaniciu
2008 J jnl
Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features.
IEEE Trans. Medical Imaging
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu
2008 B conf
Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes.
Image Processing
Yefeng Zheng, Bogdan Georgescu, Adrian Barbu, Michael Scheuering, Dorin Comaniciu
2008 A* conf
Hierarchical, learning-based automatic liver segmentation.
CVPR
Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Michael Sühling, Dorin Comaniciu
2008 J jnl
Script-Independent Text Line Segmentation in Freestyle Handwritten Documents.
IEEE Trans. Pattern Anal. Mach. Intell.
Yi Li, Yefeng Zheng, David S. Doermann, Stefan Jaeger
2008 — conf
Signature-Based Document Image Retrieval.
ECCV (3)
Guangyu Zhu, Yefeng Zheng, David S. Doermann
2007 A* conf
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features.
ICCV
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu
2007 A* conf
Multi-scale Structural Saliency for Signature Detection.
CVPR
Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stefan Jaeger
2006 J jnl
Classification-Based Spatial Error Concealment for Visual Communications.
EURASIP J. Adv. Signal Process.
Meng Chen, Yefeng Zheng, Min Wu
2006 — conf
Detecting Text Lines in Handwritten Documents.
ICPR (2)
Yi Li, Yefeng Zheng, David S. Doermann
2006 — conf
Example Based Non-rigid Shape Detection.
ECCV (4)
Yefeng Zheng, Xiang Sean Zhou, Bogdan Georgescu, Shaohua Kevin Zhou, Dorin Comaniciu
2006 J jnl
Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures.
IEEE Trans. Pattern Anal. Mach. Intell.
Yefeng Zheng, David S. Doermann
2005 J jnl
A Parallel-Line Detection Algorithm Based on HMM Decoding.
IEEE Trans. Pattern Anal. Mach. Intell.
Yefeng Zheng, Huiping Li, David S. Doermann
2005 A conf
Handwriting Matching and Its Application to Handwriting Synthesis.
ICDAR
Yefeng Zheng, David S. Doermann
2005 — —
Handwriting identification, matching, and indexing in noisy document images.
Yefeng Zheng
2005 A* conf
Robust Point Matching for Two-Dimensional Nonrigid Shapes.
ICCV
Yefeng Zheng, David S. Doermann
2004 J jnl
Machine Printed Text and Handwriting Identification in Noisy Document Images.
IEEE Trans. Pattern Anal. Mach. Intell.
Yefeng Zheng, Huiping Li, David S. Doermann
2003 A conf
A Model-based Line Detection Algorithm in Documents.
ICDAR
Yefeng Zheng, Huiping Li, David S. Doermann
2003 — conf
Background Line Detection with A Stochastic Model.
CVPR Workshops
Yefeng Zheng, Huiping Li, David S. Doermann
2003 — conf
Classification-based spatial error concealment for images.
ICIP (2)
Meng Chen, Min Wu, Yefeng Zheng
2003 A conf
Text Identification in Noisy Document Images Using Markov Random Field.
ICDAR
Yefeng Zheng, Huiping Li, David S. Doermann
2002 — conf
Single-character type identification.
Document Recognition and Retrieval
Yefeng Zheng, Changsong Liu, Xiaoqing Ding
2002 B conf
The Segmentation and Identification of Handwriting in Noisy Document Images.
Document Analysis Systems
Yefeng Zheng, Huiping Li, David S. Doermann
2001 A conf
Form Frame Line Detection with Directional Single-Connected Chain.
ICDAR
Yefeng Zheng, Changsong Liu, Xiaoqing Ding, Shiyan Pan