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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
- 2024
[j85]Yuexiang Li
, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng:
Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine 149: 102801 (2024)- [j84]Ziqiang Wang, Kun Wang, Xiaozhong Chen, Yefeng Zheng, Xian Wu:
A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram. Biomed. Signal Process. Control. 94: 106265 (2024) - [j83]Guoyang Xie, Yawen Huang, Jin-Bao Wang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
Cross-modality Neuroimage Synthesis: A Survey. ACM Comput. Surv. 56(3): 80:1-80:28 (2024) - [j82]Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng:
Wearable-based behaviour interpolation for semi-supervised human activity recognition. Inf. Sci. 665: 120393 (2024) - [j81]Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng:
Improving vision transformer for medical image classification via token-wise perturbation. J. Vis. Commun. Image Represent. 98: 104022 (2024) - [j80]Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng:
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. 91: 103019 (2024) - [j79]Zhe Xu, Donghuan Lu, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong:
Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data. Medical Image Anal. 93: 103095 (2024) - [j78]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction. Medical Image Anal. 93: 103102 (2024) - [j77]Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng:
Self-supervised learning for medical image data with anatomy-oriented imaging planes. Medical Image Anal. 94: 103151 (2024) - [j76]Ziyun Cai, Yawen Huang, Tengfei Zhang, Xiao-Yuan Jing, Yefeng Zheng, Ling Shao:
Attention Cycle-consistent universal network for More Universal Domain Adaptation. Pattern Recognit. 147: 110109 (2024) - [j75]Wentian Zhang, Haozhe Liu, Jinheng Xie, Yawen Huang, Yu Zhang, Yuexiang Li, Raghavendra Ramachandra, Yefeng Zheng:
Anomaly detection via gating highway connection for retinal fundus images. Pattern Recognit. 148: 110167 (2024) - [j74]Chuyan Zhang, Yuncheng Yang, Hao Zheng, Yawen Huang, Yefeng Zheng, Yun Gu:
Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis. Pattern Recognit. 153: 110528 (2024) - [j73]Xingyu Miao, Yang Bai, Haoran Duan, Fan Wan, Yawen Huang, Yang Long, Yefeng Zheng:
CTNeRF: Cross-time Transformer for dynamic neural radiance field from monocular video. Pattern Recognit. 156: 110729 (2024) - [j72]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. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2564-2576 (2024) - [j71]Feiyang Yang, Xiongfei Li, Haoran Duan, Feilong Xu, Yawen Huang, Xiaoli Zhang, Yang Long, Yefeng Zheng:
MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning. IEEE J. Biomed. Health Informatics 28(2): 858-869 (2024) - [j70]Qingsong Xie, Yuexiang Li, Nanjun He, Munan Ning, Kai Ma, Guoxing Wang, Yong Lian, Yefeng Zheng:
Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training. IEEE Trans. Medical Imaging 43(1): 4-14 (2024) - [j69]Hong Wang, Qi Xie, Dong Zeng, Jianhua Ma, Deyu Meng, Yefeng Zheng:
OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning. IEEE Trans. Medical Imaging 43(1): 489-502 (2024) - [j68]Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
Adversarial Medical Image With Hierarchical Feature Hiding. IEEE Trans. Medical Imaging 43(4): 1296-1307 (2024) - [j67]Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2747-2758 (2024) - [j66]Hong Wang, Qi Xie, Qian Zhao, Yuexiang Li, Yong Liang, Yefeng Zheng, Deyu Meng:
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8668-8682 (2024) - [j65]Hao Yang, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Distributional Fairness-aware Recommendation. ACM Trans. Inf. Syst. 42(5): 131:1-131:28 (2024) - [c231]Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. AAAI 2024: 810-818 - [c230]Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. AAAI 2024: 1445-1453 - [c229]Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng:
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. AAAI 2024: 2330-2338 - [c228]Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng:
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal. AAAI 2024: 17853-17861 - [c227]Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann:
Federated Learning via Input-Output Collaborative Distillation. AAAI 2024: 22058-22066 - [c226]Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang:
Pre-trained Online Contrastive Learning for Insurance Fraud Detection. AAAI 2024: 22511-22519 - [c225]Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng:
imapScore: Medical Fact Evaluation Made Easy. ACL (Findings) 2024: 10242-10257 - [c224]Zhihong Zhu, Yunyan Zhang, Xuxin Cheng, Zhiqi Huang, Derong Xu, Xian Wu, Yefeng Zheng:
Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics. LREC/COLING 2024: 711-721 - [c223]Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng:
Biomedical Entity Linking as Multiple Choice Question Answering. LREC/COLING 2024: 2390-2396 - [c222]Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Bin Liang, Xian Wu, Yefeng Zheng, Kam-Fai Wong:
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning. LREC/COLING 2024: 9578-9588 - [c221]Yingying Zhang, Xian Wu, Yu Zhang, Yefeng Zheng:
Knowledge-aware Attention Network for Medication Effectiveness Prediction. LREC/COLING 2024: 9799-9809 - [c220]Yutian Zhao, Huimin Wang, Xian Wu, Yefeng Zheng:
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis. LREC/COLING 2024: 11394-11404 - [c219]Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. LREC/COLING 2024: 11956-11968 - [c218]Qi Bi, Hao Zheng, Xu Sun, Jingjun Yi, Wentian Zhang, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification. ICASSP 2024: 1781-1785 - [c217]Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng:
Improving Biomedical Entity Linking with Retrieval-Enhanced Learning. ICASSP 2024: 11461-11465 - [c216]Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang:
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization. ICML 2024 - [c215]Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng:
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications. SIGIR 2024: 1104-1114 - [c214]Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Causally Debiased Time-aware Recommendation. WWW 2024: 3331-3342 - [c213]Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng:
GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph. WWW 2024: 4706-4716 - [i164]Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Yang Long, Yefeng Zheng:
CTNeRF: Cross-Time Transformer for Dynamic Neural Radiance Field from Monocular Video. CoRR abs/2401.04861 (2024) - [i163]Xingyu Miao, Yang Bai, Haoran Duan, Fan Wan, Yawen Huang, Yang Long, Yefeng Zheng:
ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields. CoRR abs/2402.01950 (2024) - [i162]Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng:
Large Language Model Distilling Medication Recommendation Model. CoRR abs/2402.02803 (2024) - [i161]Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng:
Biomedical Entity Linking as Multiple Choice Question Answering. CoRR abs/2402.15189 (2024) - [i160]Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. CoRR abs/2402.18099 (2024) - [i159]Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. CoRR abs/2403.01972 (2024) - [i158]Jiageng Wu, Xian Wu, Yefeng Zheng, Jie Yang:
MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding. CoRR abs/2403.06611 (2024) - [i157]Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng:
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection. CoRR abs/2403.10339 (2024) - [i156]Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. CoRR abs/2403.11803 (2024) - [i155]Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng:
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes. CoRR abs/2403.16499 (2024) - [i154]Peng Tu, Xun Zhou, Mingming Wang, Xiaojun Yang, Bo Peng, Ping Chen, Xiu Su, Yawen Huang, Yefeng Zheng, Chang Xu:
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization. CoRR abs/2404.04875 (2024) - [i153]Jinheng Xie, Jiajun Feng, Zhaoxu Tian, Kevin Qinghong Lin, Yawen Huang, Xi Xia, Nanxu Gong, Xu Zuo, Jiaqi Yang, Yefeng Zheng, Mike Zheng Shou:
Learning Long-form Video Prior via Generative Pre-Training. CoRR abs/2404.15909 (2024) - [i152]Jie Hu, Yawen Huang, Yilin Lu, Guoyang Xie, Guannan Jiang, Yefeng Zheng, Zhichao Lu:
AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. CoRR abs/2404.19444 (2024) - [i151]Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng:
Wearable-based behaviour interpolation for semi-supervised human activity recognition. CoRR abs/2405.15962 (2024) - [i150]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:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - [i149]Qidong Liu, Xian Wu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng:
Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item. CoRR abs/2405.20646 (2024) - [i148]Yumin Zhang, Hongliu Li, Yajun Gao, Haoran Duan, Yawen Huang, Yefeng Zheng:
Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation. CoRR abs/2406.05054 (2024) - [i147]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. CoRR abs/2406.09696 (2024) - [i146]Yi Cheng, Wenge Liu, Kaishuai Xu, Wenjun Hou, Yi Ouyang, Chak Tou Leong, Xian Wu, Yefeng Zheng:
Evolving to be Your Soulmate: Personalized Dialogue Agents with Dynamically Adapted Personas. CoRR abs/2406.13960 (2024) - [i145]Minghao Zhou, Hong Wang, Yefeng Zheng, Deyu Meng:
A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling. CoRR abs/2407.02283 (2024) - [i144]Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation. CoRR abs/2407.18568 (2024) - 2023
- [j64]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) - [j63]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) - [j62]Qi Bi, Xu Sun, Shuang Yu, Kai Ma, Cheng Bian, Munan Ning, Nanjun He, Yawen Huang, Yuexiang Li, Hanruo Liu, Yefeng Zheng:
MIL-ViT: A multiple instance vision transformer for fundus image classification. J. Vis. Commun. Image Represent. 97: 103956 (2023) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training. Medical Image Anal. 89: 102933 (2023) - [j56]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:
A deep weakly semi-supervised framework for endoscopic lesion segmentation. Medical Image Anal. 90: 102973 (2023) - [j55]Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network. Nat. Comput. Sci. 3(12): 1023-1033 (2023) - [j54]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:
A medical multimodal large language model for future pandemics. npj Digit. Medicine 6 (2023) - [j53]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. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13553-13566 (2023) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li:
A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. IEEE Trans. Medical Imaging 42(10): 3000-3011 (2023) - [j47]Bo Liu, Donghuan Lu, Dong Wei, Xian Wu, Yan Wang, Yu Zhang, Yefeng Zheng:
Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage. IEEE Trans. Medical Imaging 42(12): 3579-3589 (2023) - [c212]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 - [c211]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 - [c210]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 - [c209]Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu:
Identify Event Causality with Knowledge and Analogy. AAAI 2023: 13745-13753 - [c208]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 - [c207]Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng:
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. ACL (1) 2023: 6348-6361 - [c206]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 - [c205]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 - [c204]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 - [c203]Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Interactive Segmentation as Gaussian Process Classification. CVPR 2023: 19488-19497 - [c202]Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi:
Cross-Modal Contrastive Learning for Event Extraction. DASFAA (3) 2023: 699-715 - [c201]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 - [c200]Lei Gao, Xinnan Zhang, Xian Wu, Shen Ge, Yefeng Zheng:
Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation. EMNLP (Findings) 2023: 13311-13321 - [c199]Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP 2023: 16620-16631 - [c198]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. ICCV 2023: 7418-7427 - [c197]Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang, Yefeng Zheng:
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. ICCV 2023: 13272-13281 - [c196]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 - [c195]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 - [c194]Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong:
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. MICCAI (4) 2023: 3-13 - [c193]Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong:
Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. MICCAI (7) 2023: 99-109 - [c192]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. MICCAI (10) 2023: 109-120 - [c191]Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng:
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images. MICCAI (3) 2023: 232-241 - [c190]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. MICCAI (1) 2023: 363-373 - [c189]