Zengqiang (John) Yan
Ph.D. HKUST
Associate Professor
School of Electronic Information and Communications, Huazhong University of Science and Technology
Email: zyanad [at] connect (dot) ust (dot) hk OR z_yan [at] hust [dot] edu [dot] cn
Ph.D. HKUST
Associate Professor
School of Electronic Information and Communications, Huazhong University of Science and Technology
Email: zyanad [at] connect (dot) ust (dot) hk OR z_yan [at] hust [dot] edu [dot] cn
I am an Associate Professor of School of Electronic Information and Communications at Huazhong University of Science and Technology. Before joining HUST, I received my Ph.D. degree and completed a one-year post-doc both at the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology, supervised by Prof. Kwang-Ting Tim Cheng.
My research interests include deep learning and medical image analysis, with specific focus on medical image segmentation, domain adaptation and federated learning. The main motivation is to develop annotation-effecient deep learning approaches to tackle medical imaging problems.
研究兴趣：人工智能、医学图像处理、计算机视觉
Looking for self-motivated undergraduate/postgraduate students to join my group. Feel free to contact me if you have interests.
欢迎本科生、保研生、直博生或计划出国（境）读博的同学加入我们团队。招2024级硕士研究生2名，欢迎2020级本科保研同学尽早联系进组。
Feb. 2023
Xian's paper, entitled "The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning", has been accepted by IEEE Transactions on Medical Imaging. Congratulations!
Dec. 2022
Jeffry's paper, entitled "FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation", has been accepted by IEEE Transactions on Medical Imaging. Congratulations!
Aug. 2022
Jeffry's paper, entitled "Customized Federated Learning for Multi-Source Decentralized Medical Image Classification", has been accepted by IEEE Journal of Biomedical and Health Informatics. Congratulations!
HKUST Postgraduate Scholarship (2016-2020)
Top 10% Paper Award, IEEE International Workshop on Multimedia Signal Processing 2015
Student Travel Grant Award, IEEE Signal Processing Society 2015
[# Co-First Author * Corresponding Author]
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation
Xian Lin, Li Yu, Kwang-Ting Cheng, and Zengqiang Yan*
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2022. (under review after MAJOR REVISION)
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning
Xian Lin, Li Yu, Kwang-Ting Cheng, and Zengqiang Yan*
IEEE Transactions on Medical Imaging (IEEE TMI), 2022. accepted
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
Jeffry Wicaksana, Zengqiang Yan*, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, and Kwang-Ting Cheng
IEEE Transactions on Medical Imaging (IEEE TMI), 2022. accepted
Hierarchical Associative Encoding and Decoding for BottomUp Human Pose Estimation
Congju Du, Zengqiang Yan, Han Yu, Li Yu, and Zixiang Xiong
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022. to appear
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification
Jeffry Wicaksana, Zengqiang Yan*, Xin Yang, Yang Liu, Lixin Fan, Kwang-Ting Cheng
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2022. to appear
Symmetry-Aware Deep Learning for Cerebral Ventricle Segmentation with Intra-Ventricular Hemorrhage
Yineng Hua#, Zengqiang Yan#, Zhuo Kuang, Hang Zhang, Xianbo Deng, Li Yu
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2022. online published
Fracture R-CNN: An Anchor-Efficient Anti-Interference Framework for Skull Fracture Detection in CT Images
Xian Lin#, Zengqiang Yan#, Zhuo Kuang, Hang Zhang, Xianbo Deng, Li Yu
Medical Physics, 2022. online published
Uncertainty-Aware Deep Learning with Cross-Task Supervision for PHE Segmentation on CT Images
Zhuo Kuang#, Zengqiang Yan#, Li Yu, Xianbo Deng, Yineng Hua, Shuyun Li
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), vol. 26, no. 6, pp. 2615-2626, 2022.
Variation-Aware Federated Learning with Multi-Source Decentralized Medical Image Data
Zengqiang Yan, Jeffry Wicaksana, Zhiwei Wang, Xin Yang, Kwang-Ting Cheng
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), vol. 25, no. 7, pp. 2615-2628, 2021.
Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-aware Adversarial Learning Framework
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
IEEE Transactions on Medical Imaging (IEEE TMI), vol. 39, no. 6, pp. 2176-2189, Jun. 2020.
A Three-stage Deep Learning Model for Accurate Retinal Vessel Segmentation
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), vol. 23, no. 4, pp. 1427-1436, Jul. 2019.
ESI Highly Cited Paper
Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
IEEE Transactions on Biomedical Engineering (IEEE TBME), vol. 65, no. 9, pp. 1912-1923, Sept. 2018.
[
Github
]
ESI Highly Cited Paper
A Skeletal Similarity Metric for Quality Evaluation of Vessel Segmentation
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
IEEE Transactions on Medical Imaging (IEEE TMI), vol. 37, no. 4, pp. 1045-1057, Apr. 2018.
[
Github
]
A Deep Model with Shape-preserving Loss for Gland Instance Segmentation
Zengqiang Yan, Xin Yang, Kwang-Ting Cheng
Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018, pp. 138-146.
Exploring Intermediate Representation for Monocular Vehicle Pose Estimation
Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
