Ph.D. Candidate Department of Computer Science and Engineering The Hong Kong University of Science and Technology (HKUST) Hong Kong, China Email: yi.lin[at]connect.ust.hk

Biography

I am now a 3rd-year PhD candidate at the Department of Computer Science and Engineering (CSE), The Hong Kong University of Science and Technology (HKUST), under the supervision of Prof. Hao Chen and Prof. Kwang-Ting (Tim) Cheng (IEEE Fellow). Before that, I was a full-time researcher in Jarvis Lab at Tencent directed by Dr. Yefeng Zheng (IEEE Fellow). I received my M.E. and B.E. degree from Huazhong University of Science and Technology (HUST) in 2020 and 2016 respectively, under the supervision of Prof. Xin Yang. I also served as a volunteer teacher at Laifeng Middle School Attached to CCNU in 2016-2017.

My research interests include medical image analysis and deep learning. Recently, I focus on: 1) Label-efficient learning algorithms with human-in-the-loop; 2) Computer-aided-diagnosis systems (CADX) considering efficiency, scalability, and accessibility.

News

Selected Publications |

✉ indicates corresponding authorship.
Pre-Print

• Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation.
  Yi Lin*, Xiao Fang*, Dong Zhang, Kwang-Ting Cheng, Hao Chen. [arXiv]
• Deep learning for medical image segmentation: tricks, challenges and future directions.
  Dong Zhang*, Yi Lin*, Hao Chen, Zhuotao Tian, Xin Yang, Jinhui Tang, Kwang Ting Cheng. [arXiv][code]

Journal

• LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction.
  Yi Lin*, Yanfei Liu*, Hao Chen, Xin Yang, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng.
  IEEE Transactions on Cybernetics, 2024. IF: 11.8 [arXiv][code]
  Rank 1st place in Tencent AIMIS Challenge
• BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels.
  Yi Lin*, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen.
  IEEE Transactions on Medical Imaging (TMI), 2024. IF: 10.6 [arXiv][code]
• Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training.
  Yi Lin*, Zhiyong Qu*, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng.
  Medical image analysis (MedIA), 2023. IF: 10.9 [arXiv][code]
• Bi-modality medical image synthesis using semi-supervised sequential generative adversarial.
  Xin Yang, Yi Lin^✉, Zhiwei Wang, Xin Li, Kwang-Ting Cheng.
  IEEE Journal of Biomedical and Health Informatics (JBHI), 2019. IF: 4.098 [paper][code]
• Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning.
  Xin Li*, Yi Lin*, Zhuoyao Xie, Zixiao Lu, Liwen Song, Qiang Ye, Menghong Wang, Xiao Fang, Yi He, Hao Chen, Yinghua Zhao.
  Insights into Imaging, 2024. IF: 4.7 [paper][code]
• Deep learning for computational cytology: A survey.
  Hao Jiang, Yanning Zhou, Yi Lin, Ronald CK Chan, Jiang Liu, Hao Chen.
  Medical image analysis (MedIA), 2022. IF: 13.828 [arXiv]
• A Deep Learning Approach to Predict Conductive Hearing Loss in Patients With Otitis Media With Effusion Using Otoscopic Images.
  Junbo Zeng, Weibiao Kang, Suijun Chen, Yi Lin, Wenting Deng, Yajing Wang, Guisheng Chen, Kai Ma, Fei Zhao, Yefeng Zheng, Maojin Liang, Linqi Zeng, Weijie Ye, Peng Li, Yubin Chen, Guoping Chen, Jinliang Gao, Minjian Wu, Yuejia Su, Yiqing Zheng, Yuexin Cai.
  JAMA Otolaryngology–Head & Neck Surgery, 2022. IF: 8.961 [paper]
• Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization.
  Zhiwei Wang, Yi Lin, Kwang-Ting Tim Cheng, Xin Yang.
  Medical image analysis (MedIA), 2020. IF: 8.880 [arXiv]
• A two-stage convolutional neural network for pulmonary embolism detection from CTPA images.
  Xin Yang, Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Lin, Kwang-Ting Cheng.
  IEEE Access, 2019. IF: 4.217 [paper][code]

Conference

• Few Shot Medical Image Segmentation with Cross Attention Transformer.
  Yi Lin*, Yufan Chen*, Kwang-Ting Cheng, Hao Chen.
  MICCAI, 2023. [arXiv][code]

• Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation.
  Yi Lin*, Dong Zhang*, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen.
  IPMI, 2023. [arXiv][code]

• InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation.
  Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen.
  MICCAI, 2022. [arXiv][code]

• Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression.
  Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng.
  MICCAI, 2021. [arXiv][code]

• Automated pulmonary embolism detection from CTPA images using an end-to-end convolutional neural network.
  Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang.
  MICCAI, 2019. [paper][code]
  Student Travel Award

• Seg4Reg Networks for Automated Spinal Curvature Estimation.
  Yi Lin*, Hong-Yu Zhou*, Kai Ma, Xin Yang, Yefeng Zheng.
  MICCAI workshop, 2019. [paper][code]
  Rank 1st place in Accurate Automated Spinal Curvature Estimation Challenge (AASCE 2019)

• StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer.
  Zhiwei Wang, Yi Lin, Chunyuan Liao, Kwang-Ting Cheng, Xin Yang.
  BMVC, 2018. [paper][code]

Academic Services

Regular Reviewers:

• Conference
  Computer Vision and Pattern Recognition (CVPR'21-24)
  European Conference on Computer Vision (ECCV'22,24)
  IEEE International Conference on Computer Vision (ICCV'21, 23)
  International Joint Conferences on Artificial Intelligence (IJCAI'21)
  AAAI Conference on Artificial Intelligence (AAAI'23, 24)
  International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'21-24)
  IEEE International Symposium on Biomedical Imaging (ISBI'21-24)
  Pacific Conference on Computer Graphics and Applications (Pacific Graphics'23)
  Chinese Conference on Pattern Recognition and Computer Vision (PRCV'23-24)
  ACM Multimedia (MM' 24)
  
• Journal
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  IEEE Transactions on Medical Imaging (TMI)
  IEEE Journal of Biomedical and Health Informatics (JBHI)
  IEEE Transactions on Biomedical Engineering (TBME)
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  Medical Image Analysis (MedIA)
  Frontiers in Cardiovascular Medicine (FCVM)
  Computer Methods and Programs in Biomedicine (CMPB)
  Artificial Intelligence In Medicine
  Computers in Biology and Medicine (CIBM)
  IET Image Processing (IET-IP)
  Multimedia Systems (MMS)
  Medical Physics
  Connection Science
  Scientific Reports
  Journal of Supercomputing
  Biomedical Signal Processing and Control
  Visual Computer
  BMC Bioinformatics
  Computers and Electronics in Agriculture
  Engineering Applications of Artificial Intelligence
  

Talk & Presentation

• "Data-Efficient Learning in Medical Image Segmentation", Stanford MedAI [Recording], 2024.
• "Aligning Medical Images with General Knowledge from Large Language Models", MICCAI Oral, 2024.

Teaching

2022 Fall	TA	Image Processing	COMP 4421
2022 Spring	TA	Deep Learning in Medical Image Analysis	COMP 6211H
2023 Fall	TA	Mobile Application Development	COMP 4521
2024 Fall	TA	Honors Object-Oriented Programming and Data Structures	COMP 2012H

© Yi Lin, 乡村爱情资深研究员，英雄联盟不屈白银, 地摊美食专家, 啤酒2瓶白酒2.5两