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ORCIDLi Lin 0006
Person information
- affiliation: Sun Yat-sen University, School of Electronics and Information Technology, Guangzhou, China
- affiliation: Southern University of Science and Technology, Department of Electrical and Electronic Engineering, Shenzhen, China
Other persons with the same name
- Li Lin — disambiguation page
- Li Lin 0001
![[0000-0002-8500-198X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8500-198X")
— Huazhong University of Science and Technology, National Engineering Research Center for Big Data Technology and System, Wuhan, China (and 1 more) - Li Lin 0002 — George Mason University, Center for Spatial Information Science and Systems (CSISS), Fairfax, VA, USA
- Li Lin 0003 — Chinese Academy of Sciences, Institute of Software, Trusted Computing and Information Assurance Laboratory, Beijing, China (and 1 more)
- Li Lin 0004 — Iowa State University, Department of Mathematics, Ames, IA, USA
- Li Lin 0005 — Xiamen University, Department of Computer Science, China
- Li Lin 0007 — State University of New York at Buffalo, Department of Industrial and Systems Engineering, NY, USA (and 1 more)
- Li Lin 0008 — Beijing University of Technology, College of Computer Science, Key Laboratory of Trusted Computing, Beijing, China (and 2 more)
- Li Lin 0009 — Marvell, Santa Clara, CA, USA (and 1 more)
- Li Lin 0010 — Sydney University of Technology, Faculty of Information Technology, Australia
- Li Lin 0011 — Tsinghua University, School of Software, Beijing, China
- Li Lin 0012 — Zhongkai University of Agriculture and Engineering, College of Animal Sciences and Technology, Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, China
- Li Lin 0013 — Hong Kong Polytechnic University, Department of Applied Social Sciences, Hong Kong
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2020 – today
- 2024
[i21]Li Lin, Yixiang Liu, Jiewei Wu, Pujin Cheng, Zhiyuan Cai, Kenneth K. Y. Wong, Xiaoying Tang:
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation. CoRR abs/2402.17502 (2024)- 2023
- [j3]Li Lin, Linkai Peng, Huaqing He, Pujin Cheng, Jiewei Wu, Kenneth K. Y. Wong, Xiaoying Tang:
YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation. Medical Image Anal. 90: 102937 (2023) - [j2]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90: 102938 (2023) - [c22]Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang:
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. ICCV 2023: 21304-21314 - [c21]Juntao Chen, Li Lin, Pujin Cheng, Yijin Huang, Xiaoying Tang:
Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment. ISBI 2023: 1-5 - [c20]Li Lin, Jiewei Wu, Yixiang Liu, Kenneth K. Y. Wong, Xiaoying Tang:
Unifying and Personalizing Weakly-Supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation. MLMI@MICCAI (1) 2023: 196-206 - [c19]Sirui Li, Fuheng Zhang, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification. MLMI@MICCAI (2) 2023: 303-313 - [c18]Fuheng Zhang, Sirui Li, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data. MLMI@MICCAI (2) 2023: 314-324 - [i20]Pujin Cheng, Li Lin, Yijin Huang, Huaqing He, Wenhan Luo, Xiaoying Tang:
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement. CoRR abs/2303.04603 (2023) - [i19]Li Lin, Jiewei Wu, Yixiang Liu, Kenneth K. Y. Wong, Xiaoying Tang:
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation. CoRR abs/2304.05635 (2023) - [i18]Huaqing He, Li Lin, Zhiyuan Cai, Pujin Cheng, Xiaoying Tang:
JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection. CoRR abs/2305.11504 (2023) - [i17]Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang:
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. CoRR abs/2307.12577 (2023) - [i16]Kai Pan, Linyang Li, Li Lin, Pujin Cheng, Junyan Lyu, Lei Xi, Xiaoying Tang:
Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior. CoRR abs/2312.07226 (2023) - [i15]Shiyun Chen, Li Lin, Pujin Cheng, Xiaoying Tang:
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation. CoRR abs/2312.07969 (2023) - 2022
- [j1]Junyan Lyu, Yiqi Zhang, Yijin Huang, Li Lin, Pujin Cheng, Xiaoying Tang:
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation. IEEE Trans. Medical Imaging 41(12): 3699-3711 (2022) - [c17]Kai Pan, Pujin Cheng, Ziqi Huang, Li Lin, Xiaoying Tang:
Transformer-Based T2-weighted MRI Synthesis from T1-weighted Images. EMBC 2022: 5062-5065 - [c16]Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
Corolla: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading. ISBI 2022: 1-4 - [c15]Linkai Peng, Li Lin, Pujin Cheng, Ziqi Huang, Xiaoying Tang:
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. ISBI 2022: 1-5 - [c14]Linkai Peng, Li Lin, Pujin Cheng, Huaqing He, Xiaoying Tang:
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation. MLMI@MICCAI 2022: 32-42 - [c13]Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification. MICCAI (8) 2022: 88-98 - [c12]Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang:
DS3-Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network. MICCAI (6) 2022: 571-581 - [c11]Huaqing He, Li Lin, Zhiyuan Cai, Xiaoying Tang:
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection. MIDL 2022: 477-492 - [i14]Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
COROLLA: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading. CoRR abs/2201.03795 (2022) - [i13]Linkai Peng, Li Lin, Pujin Cheng, Ziqi Huang, Xiaoying Tang:
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. CoRR abs/2201.04812 (2022) - [i12]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR abs/2202.06511 (2022) - [i11]Huaqing He, Li Lin, Zhiyuan Cai, Xiaoying Tang:
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection. CoRR abs/2203.00461 (2022) - [i10]Linkai Peng, Li Lin, Pujin Cheng, Huaqing He, Xiaoying Tang:
Student Become Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation. CoRR abs/2203.03631 (2022) - [i9]Ziqi Huang, Li Lin, Pujin Cheng, Linkai Peng, Xiaoying Tang:
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion. CoRR abs/2203.04586 (2022) - [i8]Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification. CoRR abs/2203.04614 (2022) - [i7]Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang:
DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network. CoRR abs/2203.06920 (2022) - [i6]Junyan Lyu, Yiqi Zhang, Yijin Huang, Li Lin, Pujin Cheng, Xiaoying Tang:
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation. CoRR abs/2207.13249 (2022) - [i5]Li Lin, Linkai Peng, Huaqing He, Pujin Cheng, Jiewei Wu, Kenneth K. Y. Wong, Xiaoying Tang:
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation. CoRR abs/2212.05566 (2022) - [i4]Juntao Chen, Li Lin, Pujin Cheng, Yijin Huang, Xiaoying Tang:
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment. CoRR abs/2212.10541 (2022) - 2021
- [c10]Zhonghua Wang, Li Lin, Jiewei Wu, Xiaoying Tang:
Multi-task Learning Based Ocular Disease Discrimination and FAZ Segmentation Utilizing OCTA Images. EMBC 2021: 2790-2793 - [c9]Xueying Wang, Xiaoya Liu, Li Lin, Qiongyu Guo, Xiaoying Tang:
Generative Adversarial Training with Dual-Attention for Vascular Segmentation and Topological Analysis. EMBC 2021: 2798-2801 - [c8]Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang:
Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. ISBI 2021: 521-525 - [c7]Li Lin, Pujin Cheng, Zhonghua Wang, Meng Li, Kai Wang, Xiaoying Tang:
Automated Segmentation Of Corneal Nerves In Confocal Microscopy Via Contrastive Learning Based Synthesis And Quality Enhancement. ISBI 2021: 1314-1318 - [c6]Linkai Peng, Li Lin, Pujin Cheng, Zhonghua Wang, Xiaoying Tang:
FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images. OMIA@MICCAI 2021: 42-51 - [c5]Li Lin, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng, Jiong Wu, Xiaoying Tang:
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images. MICCAI (8) 2021: 65-75 - [c4]Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang:
I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining. MICCAI (8) 2021: 87-96 - [c3]Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. MICCAI (2) 2021: 113-123 - [i3]Li Lin, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng, Jiong Wu, Xiaoying Tang:
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images. CoRR abs/2107.04823 (2021) - [i2]Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. CoRR abs/2107.08274 (2021) - [i1]Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation. CoRR abs/2110.14160 (2021) - 2020
- [c2]Yijin Huang, Li Lin, Meng Li, Jiewei Wu, Pujin Cheng, Kai Wang, Jin Yuan, Xiaoying Tang:
Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy. ISBI 2020: 1369-1372 - [c1]Xiaoying Tang, Yijin Huang, Li Lin, Meng Li, Jin Yuan:
Automated Diabetic Retinopathy Identification via Lesion Guided Network. ISICDM 2020: 141-144
Coauthor Index
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