Yefeng Zheng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
242
Venues
33
Active years
2001–2026
Best venue rank
A*
Where they publish
- AMICCAI93 papers
- A*CVPR22 papers
- A*ACL17 papers
- A*AAAI16 papers
- BCOLING12 papers
- A*EMNLP11 papers
- A*ICCV9 papers
- A*ECCV8 papers
- A*WWW7 papers
- A*IJCAI7 papers
- ACIKM4 papers
- AICDAR4 papers
- A*KDD3 papers
- MulticonferenceICASSP3 papers
- A*ICDM3 papers
- ANAACL2 papers
- A*SIGIR2 papers
- BDASFAA2 papers
- A*ICLR2 papers
- BPAKDD2 papers
- AWACV1 paper
- A*UIST1 paper
- A*ICML1 paper
- AEACL1 paper
- CAPWEB1 paper
- A*ICDE1 paper
- CKSEM1 paper
- ABMVC1 paper
- BIJCNN1 paper
- BACCV1 paper
- BICPR1 paper
- BICIP1 paper
- BDAS1 paper
Papers
242 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification. | Jiayang Wu, Jiale Zhou, Rubo Wang, Xingyi Zhang, Xun Lin, Tianxu Lv, Leong Hou U, Yefeng Zheng |
| 2026 | ACL | MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning. | Yimin Deng, Zhenxi Lin, Yejing Wang, Guoshuai Zhao, Pengyue Jia, Zichuan Fu, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Li Zhu, Xian Wu, Xueming Qian |
| 2026 | ACL | AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models. | Yimin Deng, Yejing Wang, Zhenxi Lin, Zichuan Fu, Guoshuai Zhao, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Xian Wu, Li Zhu, Xueming Qian |
| 2026 | ACL | Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning. | Zichuan Fu, Xian Wu, Guojing Li, Yejing Wang, Yijun Chen, Zihao Zhao, Yixuan Luo, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao |
| 2026 | ACL | Beyond Surface Features: Advancing Medical Vision-Language Alignment via Dynamic Evidence-Guided Preference Optimization. | Zixuan Huang, Zhihong Zhu, Xiaolong Liu, Yanchao Hao, Manman Zhang, Zheng Wei, Bowen Xing, Xian Wu, Ye Li, Fen Miao, Yefeng Zheng |
| 2026 | ACL | Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation. | Zhengyi Zhao, Shubo Zhang, Zezhong Wang, Yuxi Zhang, Huimin Wang, Yutian Zhao, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu |
| 2026 | KDD | Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation. | Yingjia Shang, Yi Liu, Huimin Wang, Furong Li, Wenfang Sun, Chengyu Wu, Yefeng Zheng |
| 2026 | WACV | QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain. | Wenfang Sun, Yingjun Du, Gaowen Liu, Yefeng Zheng, Cees G. M. Snoek |
| 2025 | AAAI | LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation. | Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng |
| 2025 | ACL | A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs. | Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian |
| 2025 | ACL | Model Merging for Knowledge Editing. | Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao |
| 2025 | ACL | Training-free LLM Merging for Multi-task Learning. | Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao |
| 2025 | ACL | A Survey on Foundation Language Models for Single-cell Biology. | Fan Zhang, Hao Chen, Zhihong Zhu, Ziheng Zhang, Zhenxi Lin, Ziyue Qiao, Yefeng Zheng, Xian Wu |
| 2025 | ACL | Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models. | Zhihong Zhu, Yunyan Zhang, Xianwei Zhuang, Fan Zhang, Zhongwei Wan, Yuyan Chen, Qingqing Long, Yefeng Zheng, Xian Wu |
| 2025 | COLING | Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs. | Suhuang Wu, Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng, Wei Li, Hui Li, Rongrong Ji |
| 2025 | CVPR | NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results. | 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 | CVPR | NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation. | Qi Bi, Jingjun Yi, Huimin Huang, Hao Zheng, Haolan Zhan, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng |
| 2025 | EMNLP | Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding. | Zhenxi Lin, Ziheng Zhang, Jian Wu, Yefeng Zheng, Xian Wu |
| 2025 | EMNLP | RareSyn: Health Record Synthesis for Rare Disease Diagnosis. | Huimin Wang, Yutian Zhao, Yefeng Zheng, Xian Wu |
| 2025 | EMNLP | T | Zhengyi Zhao, Shubo Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu |
| 2025 | EMNLP | MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models. | 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 | ICCV | A Simple Yet Mighty Hartley Diffusion Versatilist for Generalizable Dense Vision Tasks. | Qi Bi, Jingjun Yi, Huimin Huang, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng |
| 2025 | ICCV | Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data. | 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 | ICCV | Learning Generalizable Diabetic Retinopathy Grading by Decoupled State Space Decoding. | Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Huimin Huang, Yuexiang Li, Xian Wu, Yefeng Zheng |
| 2025 | ICCV | TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation. | Jiale Zhou, Wenhan Wang, Shikun Li, Xiaolei Qu, Xin Guo, Yizhong Liu, Wenzhong Tang, Xun Lin, Yefeng Zheng |
| 2025 | MICCAI | RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation. | Hong Liu, Dong Wei, Zhe Xu, Xian Wu, Yefeng Zheng, Liansheng Wang |
| 2025 | MICCAI | PD-INR: Prior-Driven Implicit Neural Representations for TOF-PET Reconstruction. | Yuxuan Long, Yulin Zhang, Hong Wang, Xiaodong Kuang, Hailiang Huang, Fan Rao, Huafeng Liu, Yefeng Zheng, Wentao Zhu |
| 2025 | MICCAI | TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency. | Minye Shao, Xingyu Miao, Haoran Duan, Zeyu Wang, Jingkun Chen, Yawen Huang, Xian Wu, Jingjing Deng, Yang Long, Yefeng Zheng |
| 2025 | MICCAI | A Prior-Driven Lightweight Network for Endoscopic Exposure Correction. | Zhijian Wu, Hong Wang, Yuxuan Shi, Dingjiang Huang, Yefeng Zheng |
| 2025 | MICCAI | Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models. | Xinyao Wu, Zhe Xu, Donghuan Lu, Jinghan Sun, Hong Liu, Sadia Shakil, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2025 | MICCAI | D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-Invariant CAM. | Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Huimin Huang, Yuexiang Li, Shaoxin Li, Xian Wu, Yefeng Zheng, Feiyue Huang |
| 2025 | MICCAI | A Multimodal Contrastive Learning for Detecting Aortic Dissection on 3D Non-contrast CT with Anatomy Simplification. | Duoer Zhang, Wenbo Xiao, Chen Jiang, Yuxuan Qiu, Zhan Feng, Hong Wang, Yefeng Zheng, Wentao Zhu |
| 2025 | NAACL | A Layered Debating Multi-Agent System for Similar Disease Diagnosis. | Yutian Zhao, Huimin Wang, Yefeng Zheng, Xian Wu |
| 2025 | WWW | How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs. | Ziheng Zhang, Zhenxi Lin, Yefeng Zheng, Xian Wu |
| 2025 | UIST | CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer Collaboration. | Zheng Wei, Hongtao Wu, Lvmin Zhang, Xian Xu, Yefeng Zheng, Pan Hui, Maneesh Agrawala, Huamin Qu, Anyi Rao |
| 2024 | AAAI | Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. | Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng |
| 2024 | AAAI | Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal. | Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng |
| 2024 | AAAI | Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. | Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng |
| 2024 | AAAI | Federated Learning via Input-Output Collaborative Distillation. | Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann |
| 2024 | AAAI | Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. | Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng |
| 2024 | AAAI | Pre-trained Online Contrastive Learning for Insurance Fraud Detection. | Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang |
| 2024 | ACL | imapScore: Medical Fact Evaluation Made Easy. | Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng |
| 2024 | CIKM | Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. | 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 | COLING | JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning. | Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Bin Liang, Xian Wu, Yefeng Zheng, Kam-Fai Wong |
| 2024 | COLING | Biomedical Entity Linking as Multiple Choice Question Answering. | Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng |
| 2024 | COLING | Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. | Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen |
| 2024 | COLING | Knowledge-aware Attention Network for Medication Effectiveness Prediction. | Yingying Zhang, Xian Wu, Yu Zhang, Yefeng Zheng |
| 2024 | COLING | MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis. | Yutian Zhao, Huimin Wang, Xian Wu, Yefeng Zheng |
| 2024 | COLING | Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics. | Zhihong Zhu, Yunyan Zhang, Xuxin Cheng, Zhiqi Huang, Derong Xu, Xian Wu, Yefeng Zheng |
| 2024 | CVPR | Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models. | Huimin Huang, Yawen Huang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hao Zheng, Yuexiang Li, Yefeng Zheng |
| 2024 | CVPR | ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. | Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu |
| 2024 | CVPR | Tune-an-Ellipse: CLIP Has Potential to Find what you Want. | Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jrgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou |
| 2024 | EMNLP | Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding. | Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen |
| 2024 | EMNLP | Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models. | Yutian Zhao, Huimin Wang, Yuqi Liu, Suhuang Wu, Xian Wu, Yefeng Zheng |
| 2024 | EMNLP | DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection. | Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Shaorong Xie, Wei Liu, Xian Wu, Yefeng Zheng |
| 2024 | ICASSP | Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification. | Qi Bi, Hao Zheng, Xu Sun, Jingjun Yi, Wentian Zhang, Yawen Huang, Yuexiang Li, Yefeng Zheng |
| 2024 | ICASSP | Improving Biomedical Entity Linking with Retrieval-Enhanced Learning. | Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng |
| 2024 | ICML | Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization. | Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang |
| 2024 | IJCAI | Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach. | Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng |
| 2024 | IJCAI | TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing. | Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu, Xian Wu, Yefeng Zheng |
| 2024 | MICCAI | Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets. | Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang |
| 2024 | MICCAI | MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. | Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King |
| 2024 | MICCAI | TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. | Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King |
| 2024 | MICCAI | FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. | Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong |
| 2024 | MICCAI | Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation. | Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Shaoxin Li, Yuexiang Li, Yefeng Zheng, Feiyue Huang |
| 2024 | MICCAI | Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation. | Zhihong Zhu, Xuxin Cheng, Yunyan Zhang, Zhaorun Chen, Qingqing Long, Hongxiang Li, Zhiqi Huang, Xian Wu, Yefeng Zheng |
| 2024 | WWW | Causally Debiased Time-aware Recommendation. | Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen |
| 2024 | WWW | GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph. | Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng |
| 2024 | SIGIR | When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications. | Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng |
| 2023 | AAAI | ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. | Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng |
| 2023 | AAAI | M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. | Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng |
| 2023 | AAAI | Combating Mode Collapse via Offline Manifold Entropy Estimation. | Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng |
| 2023 | AAAI | Identify Event Causality with Knowledge and Analogy. | Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu |
| 2023 | AAAI | Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. | Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng |
| 2023 | ACL | CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. | Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng |
| 2023 | ACL | CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset. | Hanchong Zhang, Jieyu Li, Lu Chen, Ruisheng Cao, Yunyan Zhang, Yu Huang, Yefeng Zheng, Kai Yu |
| 2023 | CVPR | SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation. | Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng |
| 2023 | CVPR | AdaptiveMix: Improving GAN Training via Feature Space Shrinkage. | Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng |
| 2023 | CVPR | Interactive Segmentation as Gaussian Process Classification. | Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng |
| 2023 | DASFAA | Cross-Modal Contrastive Learning for Event Extraction. | Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi |
| 2023 | EACL | ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification. | Wangjie Jiang, Zhihao Ye, Bang Liu, Ruihui Zhao, Jianguang Zheng, Mengyao Li, Zhiyong Li, Yujiu Yang, Yefeng Zheng |
| 2023 | EMNLP | Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation. | Lei Gao, Xinnan Zhang, Xian Wu, Shen Ge, Yefeng Zheng |
| 2023 | EMNLP | Relation-aware Ensemble Learning for Knowledge Graph Embedding. | Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng |
| 2023 | ICCV | FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. | Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang, Yefeng Zheng |
| 2023 | ICCV | BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. | Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou |
| 2023 | IJCAI | Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. | Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang |
| 2023 | MICCAI | You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. | Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng |
| 2023 | MICCAI | MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. | Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng |
| 2023 | MICCAI | Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. | Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2023 | MICCAI | Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. | Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2023 | MICCAI | A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images. | Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng |
| 2023 | WWW | Exploring Social Media for Early Detection of Depression in COVID-19 Patients. | Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang |
| 2023 | SIGIR | Distributionally Robust Sequential Recommnedation. | Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen |
| 2022 | AAAI | Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. | Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2022 | APWEB | Probing the Impacts of Visual Context in Multimodal Entity Alignment. | Yinghui Shi, Meng Wang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng |
| 2022 | CIKM | MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. | Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng |
| 2022 | CIKM | Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. | Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang |
| 2022 | COLING | Finding Influential Instances for Distantly Supervised Relation Extraction. | Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng |
| 2022 | COLING | Multi-modal Contrastive Representation Learning for Entity Alignment. | Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng |
| 2022 | COLING | Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. | Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu |
| 2022 | COLING | DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. | Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao |
| 2022 | DASFAA | InDISP: An Interpretable Model for Dynamic Illness Severity Prediction. | Xinyu Ma, Meng Wang, Xing Liu, Yifan Yang, Yefeng Zheng, Sen Wang |
| 2022 | ECCV | Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks. | Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng |
| 2022 | ECCV | Decoupled Mixup for Out-of-Distribution Visual Recognition. | Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng |
| 2022 | ECCV | Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. | Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng |
| 2022 | EMNLP | Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. | Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng |
| 2022 | ICASSP | BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection. | Jia Li, Yunyan Zhang, Yifan Yang, Zhicheng An, Yefeng Zheng |
| 2022 | ICDE | Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. | Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu |
| 2022 | ICDM | Contractible Regularization for Federated Learning on Non-IID Data. | Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng |
| 2022 | ICDM | Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. | Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li |
| 2022 | ICLR | PAC-Bayes Information Bottleneck. | Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng |
| 2022 | IJCAI | "My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics. | Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang |
| 2022 | IJCAI | Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. | Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng |
| 2022 | KDD | Medical Symptom Detection in Intelligent Pre-Consultation Using Bi-directional Hard-Negative Noise Contrastive Estimation. | Shiwei Zhang, Jichao Sun, Yu Huang, Xueqi Ding, Yefeng Zheng |
| 2022 | KSEM | CLINER: Clinical Interrogation Named Entity Recognition. | Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu |
| 2022 | MICCAI | Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. | Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng |
| 2022 | MICCAI | Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. | Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng |
| 2022 | MICCAI | Lesion Guided Explainable Few Weak-Shot Medical Report Generation. | Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng |
| 2022 | MICCAI | An Inclusive Task-Aware Framework for Radiology Report Generation. | Lin Wang, Munan Ning, Donghuan Lu, Dong Wei, Yefeng Zheng, Jie Chen |
| 2022 | MICCAI | Orientation-Shared Convolution Representation for CT Metal Artifact Learning. | Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng |
| 2022 | MICCAI | Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. | 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 | MICCAI | Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. | Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2022 | MICCAI | Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images. | Wenguang Yuan, Donghuan Lu, Dong Wei, Munan Ning, Yefeng Zheng |
| 2022 | MICCAI | mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. | Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng |
| 2022 | MICCAI | A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. | Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng |
| 2022 | WWW | QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations. | Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu |
| 2021 | AAAI | Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective. | Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng |
| 2021 | ACL | Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. | Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng |
| 2021 | ACL | Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. | Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng |
| 2021 | ACL | OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding. | Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng |
| 2021 | ACL | PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction. | Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Xu Ming, Yefeng Zheng |
| 2021 | BMVC | Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. | Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng |
| 2021 | CIKM | PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System. | Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng |
| 2021 | CVPR | Calibrated RGB-D Salient Object Detection. | Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng |
| 2021 | CVPR | Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling. | Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng |
| 2021 | CVPR | From Rain Generation to Rain Removal. | Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng |
| 2021 | EMNLP | Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. | Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu |
| 2021 | ICCV | Multi-Anchor Active Domain Adaptation for Semantic Segmentation. | Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng |
| 2021 | ICDM | Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. | Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li |
| 2021 | ICLR | Stabilized Medical Image Attacks. | Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng |
| 2021 | IJCAI | Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding. | Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng |
| 2021 | IJCNN | FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. | Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu |
| 2021 | MICCAI | Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification. | Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Deep Reinforcement Exemplar Learning for Annotation Refinement. | Yuexiang Li, Nanjun He, Sixiang Peng, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression. | Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. | Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2021 | MICCAI | Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. | Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng |
| 2021 | MICCAI | Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. | Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2021 | MICCAI | InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction. | Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng |
| 2021 | MICCAI | Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views. | Dong Wei, Kai Ma, Yefeng Zheng |
| 2021 | MICCAI | Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. | Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li |
| 2021 | MICCAI | A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. | Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou |
| 2021 | MICCAI | MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification. | Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng |
| 2021 | NAACL | Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management. | Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng |
| 2021 | PAKDD | Lifelong Learning Based Disease Diagnosis on Clinical Notes. | Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng |
| 2021 | PAKDD | Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge. | Zhihao Ye, Rui Wen, Xi Chen, Ye Liu, Ziheng Zhang, Zhiyong Li, Ke Nai, Yefeng Zheng |
| 2021 | WWW | Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. | Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng |
| 2021 | WWW | Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. | Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu |
| 2020 | AAAI | Generative Adversarial Networks for Video-to-Video Domain Adaptation. | Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng |
| 2020 | COLING | An Industry Evaluation of Embedding-based Entity Alignment. | Ziheng Zhang, Hualuo Liu, Jiaoyan Chen, Xi Chen, Bo Liu, Yuejia Xiang, Yefeng Zheng |
| 2020 | CVPR | LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. | Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng |
| 2020 | ECCV | Dual Adversarial Network for Deep Active Learning. | Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng |
| 2020 | ECCV | Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2020 | ECCV | Deep Image Clustering with Category-Style Representation. | Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng |
| 2020 | IJCAI | Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. | Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng |
| 2020 | KDD | INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare. | Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson |
| 2020 | MICCAI | TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. | Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng |
| 2020 | MICCAI | Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications. | Lijun Gong, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation. | Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy. | Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Learning Crisp Edge Detector Using Logical Refinement Network. | Luyan Liu, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network. | Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Superpixel-Guided Label Softening for Medical Image Segmentation. | Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2020 | MICCAI | A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. | Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Ensembled ResUnet for Anatomical Brain Barriers Segmentation. | Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation. | Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Learning and Exploiting Interclass Visual Correlations for Medical Image Classification. | Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning. | Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng |
| 2020 | MICCAI | MI | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Instance-Aware Self-supervised Learning for Nuclei Segmentation. | Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling. | Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng |
| 2020 | MICCAI | Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations. | Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng |
| 2019 | CVPR | X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks. | Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng |
| 2019 | MICCAI | OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. | Yu Chen, Jiawei Chen, Dong Wei, Yuexiang Li, Yefeng Zheng |
| 2019 | MICCAI | Seg4Reg Networks for Automated Spinal Curvature Estimation. | Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng |
| 2019 | MICCAI | Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. | Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng |
| 2019 | MICCAI | Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster. | Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng |
| 2019 | MICCAI | Select, Attend, and Transfer: Light, Learnable Skip Connections. | Saeid Asgari Taghanaki, Acha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh |
| 2019 | MICCAI | Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network. | Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng |
| 2019 | MICCAI | Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. | Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng |
| 2018 | ACCV | Face Completion with Semantic Knowledge and Collaborative Adversarial Learning. | Haofu Liao, Gareth Funka-Lea, Yefeng Zheng, Jiebo Luo, Shaohua Kevin Zhou |
| 2018 | CVPR | Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network. | Zizhao Zhang, Lin Yang, Yefeng Zheng |
| 2018 | MICCAI | Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation. | Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yuan Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng |
| 2018 | MICCAI | Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes. | Pengyue Zhang, Fusheng Wang, Yefeng Zheng |
| 2016 | MICCAI | Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images. | Hao Chen, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou |
| 2016 | MICCAI | Structure-Aware Rank-1 Tensor Approximation for Curvilinear Structure Tracking Using Learned Hierarchical Features. | Peng Chu, Yu Pang, Erkang Cheng, Ying J. Zhu, Yefeng Zheng, Haibin Ling |
| 2016 | MICCAI | Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning. | Mehmet A. Glsn, Gareth Funka-Lea, Puneet Sharma, Saikiran Rapaka, Yefeng Zheng |
| 2015 | MICCAI | Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data. | Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu |
| 2015 | MICCAI | 3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data. | Yefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu |
| 2014 | MICCAI | CTA Coronary Labeling through Efficient Geodesics between Trees Using Anatomy Priors. | Mehmet A. Glsn, Gareth Funka-Lea, Yefeng Zheng, Matthias Eckert |
| 2014 | MICCAI | Precise Lumen Segmentation in Coronary Computed Tomography Angiography. | Felix Lugauer, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm |
| 2014 | MICCAI | Sparse Appearance Learning Based Automatic Coronary Sinus Segmentation in CTA. | Shiyang Lu, Xiaojie Huang, Zhiyong Wang, Yefeng Zheng |
| 2014 | MICCAI | Pericardium Based Model Fusion of CT and Non-contrasted C-arm CT for Visual Guidance in Cardiac Interventions. | Yefeng Zheng |
| 2013 | MICCAI | Automatic 3D Motion Estimation of Left Ventricle from C-arm Rotational Angiocardiography Using a Prior Motion Model and Learning Based Boundary Detector. | Mingqing Chen, Yefeng Zheng, Yang Wang, Kerstin Mller, Guenter Lauritsch |
| 2013 | MICCAI | Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation. | Le Lu, Pandu R. Devarakota, Siddharth Vikal, Dijia Wu, Yefeng Zheng, Matthias Wolf |
| 2013 | MICCAI | Robust and Accurate Coronary Artery Centerline Extraction in CTA by Combining Model-Driven and Data-Driven Approaches. | Yefeng Zheng, Hseyin Tek, Gareth Funka-Lea |
| 2012 | CVPR | Segmentation and removal of pulmonary arteries, veins and left atrial appendage for visualizing coronary and bypass arteries. | Hua Zhong, Yefeng Zheng, Gareth Funka-Lea, Fernando Vega Higuera |
| 2012 | MICCAI | 3D Lung Tumor Motion Model Extraction from 2D Projection Images of Mega-voltage Cone Beam CT via Optimal Graph Search. | Mingqing Chen, Junjie Bai, Yefeng Zheng, R. Alfredo C. Siochi |
| 2012 | MICCAI | Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. | Chao Lu, Yefeng Zheng, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Christian Tietjen, Thomas Boettger, James S. Duncan, Shaohua Kevin Zhou |
| 2012 | MICCAI | Catheter Tracking via Online Learning for Dynamic Motion Compensation in Transcatheter Aortic Valve Implantation. | Peng Wang, Yefeng Zheng, Matthias John, Dorin Comaniciu |
| 2012 | MICCAI | Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries. | Yefeng Zheng, Jianhua Shen, Hseyin Tek, Gareth Funka-Lea |
| 2012 | MICCAI | Automatic Heart Isolation in 3D CT Images. | Hua Zhong, Yefeng Zheng, Gareth Funka-Lea, Fernando Vega Higuera |
| 2011 | CVPR | Adaptive random forest - How many "experts" to ask before making a decision? | Alexander G. Schwing, Christopher Zach, Yefeng Zheng, Marc Pollefeys |
| 2011 | MICCAI | Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram. | Mingqing Chen, Yefeng Zheng, Kerstin Mller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu |
| 2011 | MICCAI | Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures. | Sasa Grbic, Razvan Ioan Ionasec, Yang Wang, Tommaso Mansi, Bogdan Georgescu, Matthias John, Jan M. Boese, Yefeng Zheng, Nassir Navab, Dorin Comaniciu |
| 2011 | MICCAI | Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. | B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu |
| 2011 | MICCAI | Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures. | Yefeng Zheng, Hseyin Tek, Gareth Funka-Lea, Shaohua Kevin Zhou, Fernando Vega Higuera, Dorin Comaniciu |
| 2011 | MICCAI | Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation. | Yefeng Zheng, Tianzhou Wang, Matthias John, Shaohua Kevin Zhou, Jan M. Boese, Dorin Comaniciu |
| 2010 | MICCAI | Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management. | Razvan Ioan Ionasec, Ingmar Voigt, Viorel Mihalef, Sasa Grbic, Dime Vitanovski, Yang Wang, Yefeng Zheng, Joachim Hornegger, Nassir Navab, Bogdan Georgescu |
| 2010 | MICCAI | System to Guide Transcatheter Aortic Valve Implantations Based on Interventional C-Arm CT Imaging. | Matthias John, Rui Liao, Yefeng Zheng, Alois Nttling, Jan M. Boese, Uwe Kirschstein, Jrg Kempfert, Thomas Walther |
| 2010 | MICCAI | Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. | B. Michael Kelm, Shaohua Kevin Zhou, Michael Shling, Yefeng Zheng, Michael Wels, Dorin Comaniciu |
| 2010 | MICCAI | Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images. | Sushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu |
| 2010 | MICCAI | Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization. | Yefeng Zheng, Fernando Vega Higuera, Shaohua Kevin Zhou, Dorin Comaniciu |
| 2010 | MICCAI | Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation. | Yefeng Zheng, Matthias John, Rui Liao, Jan M. Boese, Uwe Kirschstein, Bogdan Georgescu, Shaohua Kevin Zhou, Jrg Kempfert, Thomas Walther, Gernot Brockmann |
| 2009 | CVPR | Constrained marginal space learning for efficient 3D anatomical structure detection in medical images. | Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaohua Kevin Zhou, Michael Scheuering, Dorin Comaniciu |
| 2009 | CVPR | Robust object detection using marginal space learning and ranking-based multi-detector aggregation: Application to left ventricle detection in 2D MRI images. | Yefeng Zheng, Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edgar Mueller, Dorin Comaniciu |
| 2009 | MICCAI | Fast and Robust 3-D MRI Brain Structure Segmentation. | Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, Dorin Comaniciu |
| 2008 | CVPR | Hierarchical, learning-based automatic liver segmentation. | Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Michael Shling, Dorin Comaniciu |
| 2008 | CVPR | 3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers. | Lin Yang, Bogdan Georgescu, Yefeng Zheng, Peter Meer, Dorin Comaniciu |
| 2008 | ECCV | Signature-Based Document Image Retrieval. | Guangyu Zhu, Yefeng Zheng, David S. Doermann |
| 2007 | CVPR | Multi-scale Structural Saliency for Signature Detection. | Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stefan Jaeger |
| 2007 | ICCV | Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features. | Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu |
| 2006 | ECCV | Example Based Non-rigid Shape Detection. | Yefeng Zheng, Xiang Sean Zhou, Bogdan Georgescu, Shaohua Kevin Zhou, Dorin Comaniciu |
| 2006 | ICPR | Detecting Text Lines in Handwritten Documents. | Yi Li, Yefeng Zheng, David S. Doermann |
| 2005 | ICCV | Robust Point Matching for Two-Dimensional Nonrigid Shapes. | Yefeng Zheng, David S. Doermann |
| 2005 | ICDAR | Handwriting Matching and Its Application to Handwriting Synthesis. | Yefeng Zheng, David S. Doermann |
| 2003 | CVPR | Background Line Detection with A Stochastic Model. | Yefeng Zheng, Huiping Li, David S. Doermann |
| 2003 | ICDAR | A Model-based Line Detection Algorithm in Documents. | Yefeng Zheng, Huiping Li, David S. Doermann |
| 2003 | ICDAR | Text Identification in Noisy Document Images Using Markov Random Field. | Yefeng Zheng, Huiping Li, David S. Doermann |
| 2003 | ICIP | Classification-based spatial error concealment for images. | Meng Chen, Min Wu, Yefeng Zheng |
| 2002 | DAS | The Segmentation and Identification of Handwriting in Noisy Document Images. | Yefeng Zheng, Huiping Li, David S. Doermann |
| 2001 | ICDAR | Form Frame Line Detection with Directional Single-Connected Chain. | Yefeng Zheng, Changsong Liu, Xiaoqing Ding, Shiyan Pan |