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ORCIDYefeng Zheng 0001
郑冶枫
Person information
- unicode name: 郑冶枫
- affiliation: Tencent, Jarvis Lab, Shenzhen, China
- affiliation (2006 - 2017): Siemens Corporate Research, Princeton, NJ, USA
- affiliation (PhD 2005): University of Maryland, College Park, MD, USA
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2020 – today
- 2023
[j56]Meng Wang, Yinghui Shi
, Han Yang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Probing the Impacts of Visual Context in Multimodal Entity Alignment. Data Sci. Eng. 8(2): 124-134 (2023)- [j55]Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis. Neurocomputing 546: 126282 (2023) - [j54]Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li:
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. Medical Image Anal. 83: 102652 (2023) - [j53]Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Editorial for the MEDIA MICCAI special issue 2021. Medical Image Anal. 83: 102695 (2023) - [j52]Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng:
InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images. Medical Image Anal. 85: 102729 (2023) - [j51]Zhe Xu, Yixin Wang, Donghuan Lu, Xiangde Luo, Jiangpeng Yan, Yefeng Zheng, Raymond Kai-Yu Tong:
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. Medical Image Anal. 88: 102880 (2023) - [j50]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:
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138: 109400 (2023) - [j49]Hexiang Zhou, Yawen Huang, Yuexiang Li, Yi Zhou, Yefeng Zheng:
Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation. IEEE J. Biomed. Health Informatics 27(3): 1409-1418 (2023) - [j48]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:
Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. IEEE Trans. Medical Imaging 42(8): 2348-2359 (2023) - [j47]Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu:
S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. IEEE Trans. Medical Imaging 42(9): 2539-2551 (2023) - [c199]Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng:
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. AAAI 2023: 917-925 - [c198]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. AAAI 2023: 1657-1665 - [c197]Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
Combating Mode Collapse via Offline Manifold Entropy Estimation. AAAI 2023: 8834-8842 - [c196]Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu:
Identify Event Causality with Knowledge and Analogy. AAAI 2023: 13745-13753 - [c195]Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng:
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. AAAI 2023: 14557-14565 - [c194]Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng:
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. ACL (1) 2023: 6348-6361 - [c193]Hanchong Zhang, Jieyu Li, Lu Chen, Ruisheng Cao, Yunyan Zhang, Yu Huang, Yefeng Zheng, Kai Yu:
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset. ACL (Findings) 2023: 6970-6983 - [c192]Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng:
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation. CVPR 2023: 11340-11349 - [c191]Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage. CVPR 2023: 16219-16229 - [c190]Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Interactive Segmentation as Gaussian Process Classification. CVPR 2023: 19488-19497 - [c189]Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi:
Cross-Modal Contrastive Learning for Event Extraction. DASFAA (3) 2023: 699-715 - [c188]Wangjie Jiang, Zhihao Ye, Bang Liu, Ruihui Zhao, Jianguang Zheng, Mengyao Li, Zhiyong Li, Yujiu Yang, Yefeng Zheng:
ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification. EACL (Findings) 2023: 2230-2239 - [c187]Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang:
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. IJCAI 2023: 6138-6146 - [c186]Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. ISBI 2023: 1-4 - [c185]Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Distributionally Robust Sequential Recommnedation. SIGIR 2023: 279-288 - [c184]Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang:
Exploring Social Media for Early Detection of Depression in COVID-19 Patients. WWW 2023: 3968-3977 - [i133]Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng:
A New Perspective to Boost Vision Transformer for Medical Image Classification. CoRR abs/2301.00989 (2023) - [i132]Peng Tu, Xu Xie, Ming Ling, Min Yang, Guo Ai, Yawen Huang, Yefeng Zheng:
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. CoRR abs/2301.06719 (2023) - [i131]Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. CoRR abs/2301.07354 (2023) - [i130]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:
Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan. CoRR abs/2302.00953 (2023) - [i129]Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang:
Exploring Social Media for Early Detection of Depression in COVID-19 Patients. CoRR abs/2302.12044 (2023) - [i128]Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Interactive Segmentation as Gaussian Process Classification. CoRR abs/2302.14578 (2023) - [i127]Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. CoRR abs/2303.00205 (2023) - [i126]Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
Improving GAN Training via Feature Space Shrinkage. CoRR abs/2303.01559 (2023) - [i125]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. CoRR abs/2303.05302 (2023) - [i124]Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Yefeng Zheng, Jie Yang:
Qualifying Chinese Medical Licensing Examination with Knowledge Enhanced Generative Pre-training Model. CoRR abs/2305.10163 (2023) - [i123]Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
VisorGPT: Learning Visual Prior via Generative Pre-Training. CoRR abs/2305.13777 (2023) - [i122]Hanchong Zhang, Jieyu Li, Lu Chen, Ruisheng Cao, Yunyan Zhang, Yu Huang, Yefeng Zheng, Kai Yu:
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset. CoRR abs/2305.15891 (2023) - [i121]Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. CoRR abs/2306.02673 (2023) - [i120]Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem:
Dynamically Masked Discriminator for Generative Adversarial Networks. CoRR abs/2306.07716 (2023) - [i119]Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng:
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. CoRR abs/2306.14274 (2023) - [i118]Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment. CoRR abs/2307.04296 (2023) - [i117]Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng:
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. CoRR abs/2307.08290 (2023) - [i116]Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng:
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray. CoRR abs/2307.09184 (2023) - [i115]Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou:
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. CoRR abs/2307.10816 (2023) - [i114]Xueming Fu, Hao Zheng, Luyan Liu, Wenjuan Zhong, Haowen Liu, Wenxuan Xiong, Yuyang Zhang, Yifeng Chen, Dong Wei, Mingjie Dong, Yefeng Zheng, Mingming Zhang:
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG. CoRR abs/2307.13209 (2023) - [i113]Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng:
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume. CoRR abs/2308.07225 (2023) - [i112]Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Xian Wu, Yefeng Zheng, Kam-Fai Wong:
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning. CoRR abs/2309.00230 (2023) - [i111]Hantao Zhou, Rui Yang, Yachao Zhang, Haoran Duan, Yawen Huang, Runze Hu, Xiu Li, Yefeng Zheng:
UniHead: Unifying Multi-Perception for Detection Heads. CoRR abs/2309.13242 (2023) - 2022
- [j46]Yuanyuan Li, Jun Wu, Donghuan Lu, Chao Xu, Yefeng Zheng, Hanchuan Peng, Lei Qu:
mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains. Bioinform. 38(19): 4654-4655 (2022) - [j45]Dapeng Du, Jiawei Chen, Yuexiang Li, Kai Ma, Gangshan Wu, Yefeng Zheng, Limin Wang:
Cross-Domain Gated Learning for Domain Generalization. Int. J. Comput. Vis. 130(11): 2842-2857 (2022) - [j44]Wenting Chen, Shuang Yu, Kai Ma, Wei Ji, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TW-GAN: Topology and width aware GAN for retinal artery/vein classification. Medical Image Anal. 77: 102340 (2022) - [j43]Yuexiang Li, Jiawei Chen, Dong Wei, Yanchun Zhu, Jianrong Wu, Junfeng Xiong, Yadong Gang, Wenbo Sun, Haibo Xu, Tianyi Qian, Kai Ma, Yefeng Zheng:
Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data. IEEE J. Biomed. Health Informatics 26(1): 172-182 (2022) - [j42]Xiaoming Shi, Sendong Zhao, Yuxuan Wang, Xi Chen, Ziheng Zhang, Yefeng Zheng, Wanxiang Che:
Understanding Patient Query With Weak Supervision From Doctor Response. IEEE J. Biomed. Health Informatics 26(6): 2770-2777 (2022) - [j41]Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 26(7): 3174-3184 (2022) - [j40]Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao:
Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 41(1): 121-132 (2022) - [j39]Jiawei Chen, Ziqi Zhang, Xinpeng Xie, Yuexiang Li, Tao Xu, Kai Ma, Yefeng Zheng:
Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint. IEEE Trans. Medical Imaging 41(3): 595-607 (2022) - [j38]Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41(3): 608-620 (2022) - [j37]Hong Wang, Yuexiang Li, Nanjun He, Kai Ma, Deyu Meng, Yefeng Zheng:
DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images. IEEE Trans. Medical Imaging 41(4): 869-880 (2022) - [j36]Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng:
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 41(5): 1043-1056 (2022) - [j35]Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(11): 3062-3073 (2022) - [j34]Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li:
Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. IEEE Trans. Medical Imaging 41(12): 3611-3623 (2022) - [c183]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. AAAI 2022: 2307-2315 - [c182]Yinghui Shi, Meng Wang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Probing the Impacts of Visual Context in Multimodal Entity Alignment. APWeb/WAIM (2) 2022: 255-270 - [c181]Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang:
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. CIKM 2022: 2169-2178 - [c180]Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng:
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. CIKM 2022: 4084-4088 - [c179]Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. COLING 2022: 1422-1431 - [c178]Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng:
Multi-modal Contrastive Representation Learning for Entity Alignment. COLING 2022: 2572-2584 - [c177]Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng:
Finding Influential Instances for Distantly Supervised Relation Extraction. COLING 2022: 2639-2650 - [c176]Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao:
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. COLING 2022: 2952-2961 - [c175]Xinyu Ma, Meng Wang, Xing Liu, Yifan Yang, Yefeng Zheng, Sen Wang:
InDISP: An Interpretable Model for Dynamic Illness Severity Prediction. DASFAA (2) 2022: 631-638 - [c174]Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng:
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. ECCV (20) 2022: 151-168 - [c173]Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng:
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks. ECCV (34) 2022: 183-199 - [c172]Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng:
Decoupled Mixup for Out-of-Distribution Visual Recognition. ECCV Workshops (6) 2022: 451-464 - [c171]Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng:
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. EMNLP 2022: 3014-3026 - [c170]Jia Li, Yunyan Zhang, Yifan Yang, Zhicheng An, Yefeng Zheng:
BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection. ICASSP 2022: 6352-6356 - [c169]Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenhua Lin, Yefeng Zheng, Bang Liu:
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. ICDE 2022: 3426-3438 - [c168]Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng:
Contractible Regularization for Federated Learning on Non-IID Data. ICDM 2022: 61-70 - [c167]Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li:
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. ICDM 2022: 713-722 - [c166]Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. ICLR 2022 - [c165]Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng:
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. IJCAI 2022: 1401-1407 - [c164]Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang:
"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics. IJCAI 2022: 4266-4272 - [c163]Shiwei Zhang, Jichao Sun, Yu Huang, Xueqi Ding, Yefeng Zheng:
Medical Symptom Detection in Intelligent Pre-Consultation Using Bi-directional Hard-Negative Noise Contrastive Estimation. KDD 2022: 4551-4559 - [c162]Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu:
CLINER: Clinical Interrogation Named Entity Recognition. KSEM (2) 2022: 212-224 - [c161]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:
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. MICCAI (6) 2022: 14-24 - [c160]Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng:
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. MICCAI (5) 2022: 107-117 - [c159]Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng:
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. MICCAI (6) 2022: 141-151 - [c158]Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong:
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. MICCAI (5) 2022: 214-224 - [c157]Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. MICCAI (3) 2022: 249-260 - [c156]Lin Wang, Munan Ning, Donghuan Lu, Dong Wei, Yefeng Zheng, Jie Chen:
An Inclusive Task-Aware Framework for Radiology Report Generation. MICCAI (8) 2022: 568-577 - [c155]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Lesion Guided Explainable Few Weak-Shot Medical Report Generation. MICCAI (5) 2022: 615-625 - [c154]Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng:
A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. MICCAI (2) 2022: 656-666 - [c153]Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Orientation-Shared Convolution Representation for CT Metal Artifact Learning. MICCAI (6) 2022: 665-675 - [c152]Wenguang Yuan, Donghuan Lu, Dong Wei, Munan Ning, Yefeng Zheng:
Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images. MICCAI (2) 2022: 667-676 - [c151]Jinbao Wang, Guoyang Xie, Yawen Huang, Yefeng Zheng, Yaochu Jin, Feng Zheng:
FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss. ACM Multimedia 2022: 1522-1531 - [c150]Wenge Liu, Jianheng Tang, Yi Cheng, Wenjie Li, Yefeng Zheng, Xiaodan Liang:
MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation. NLPCC (1) 2022: 447-459 - [c149]Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu:
QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations. WWW 2022: 1008-1017 - [i110]Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Jingkuan Song, Yaochu Jin:
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis. CoRR abs/2201.08953 (2022) - [i109]Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin:
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss. CoRR abs/2201.12589 (2022) - [i108]Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin:
A Survey of Cross-Modality Brain Image Synthesis. CoRR abs/2202.06997 (2022) - [i107]Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images. CoRR abs/2202.08195 (2022) - [i106]Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. CoRR abs/2203.02390 (2022) - [i105]Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network. CoRR abs/2203.03640 (2022) - [i104]Dong Wei, Yiming Li, Yinyan Wang, Tianyi Qian, Yefeng Zheng:
Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging. CoRR abs/2203.05571 (2022) - [i103]Heqin Zhu, Xu Sun, Yuexiang Li, Kai Ma, S. Kevin Zhou, Yefeng Zheng:
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection. CoRR abs/2203.06429 (2022) - [i102]Cheng Bian, Chenglang Yuan, Kai Ma,