Hi, I'm Yawen Huang.

I am a Principal Researcher at Tencent. I obtained my Ph.D. degree at the Department of Electronic and Electrical Engineering of the University of Sheffield, under the supervision of Prof. Ling Shao and Prof. Alejandro Frangi. I receieved my MSc from the University of Sheffield, working with Prof. Ling Shao.

My research interests lie at the intersection of computer vision and machine learning, especially their applicaitons in medical imaging and healthcare.

Email: yawenhuang@tencent.com

News

[Aug. 2024] One paper accepted by IEEE TNNLS.
[Jul. 2024] One paper accepted by IEEE TMI.
[Jul. 2024] One paper accepted by Pattern Recognition (PR).
[Jun. 2024] One paper accepted by IEEE TNNLS.
[May 2024] One paper accepted by Pattern Recognition (PR).
[May 2024] One paper accepted by IJCV.
[May 2024] One paper accepted by IEEE Intelligent Systems.
[Apr. 2024] One paper accepted by Artificial Intelligence in Medicine.
[Mar. 2024] One paper accepted by Information Sciences.
[Feb. 2024] Two papers accepted by CVPR 2024.
[Dec. 2023] Three papers accepted by AAAI 2024.
[Dec. 2023] One paper accepted by ICASSP 2024.
[Nov. 2023] One paper accepted by Pattern Recognition (PR).
[Nov. 2023] One paper accepted by IEEE Journal of Biomedical and Health Informatics (JBHI).
[Oct. 2023] One paper accepted by Pattern Recognition (PR).
[Sep. 2023] One paper accepted by NeurIPS 2023.
[Sep. 2023] One paper accepted by ACM Computing Surveys.
[Aug. 2023] One paper accepted by IEEE Intelligent Systems.
[Aug. 2023] One paper accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
[Jul. 2023] One paper accepted by ACMMM 2023.
[Jul. 2023] Two papers accepted by ICCV 2023.
[May 2023] One paper accepted by Neurocomputing.
[Feb. 2023] Three papers accepted by CVPR 2023.
[Feb. 2023] One paper accepted by Pattern Recognition (PR).
[Jan. 2023] One paper accepted by IEEE Journal of Biomedical and Health Informatics (JBHI).
[Nov. 2022] Two papers accepted by AAAI 2023.
[Jul. 2022] One paper accepted by ECCV 2022.
[Jun. 2022] One paper accepted by ACMMM 2022.
[Jun. 2022] Three papers accepted by MICCAI 2022.
[Dec. 2021] One paper accepted by AAAI 2022.
[Mar. 2021] One paper accepted by CVPR 2021 as an oral paper.

Publications


FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis
Jinbao Wang*, Guoyang Xie*, Yawen Huang*, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin
Neurocomputing, 2023.
[Paper (PDF)]


Learning from Multiple Annotators for Medical Image Segmentation
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
Pattern Recognition, (PR), 2023.
[Paper (PDF)]


Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation
Hexiang Zhou*, Yawen Huang*, Yuexiang Li, Yi Zhou, and Yefeng Zheng
IEEE Journal of Biomedical and Health Informatics, (IEEE JBHI), 2023.
[Paper (PDF)]


Combating Mode Collapse in GANs via Manifold Entropy Estimation
Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng
AAAI Conference on Artificial Intelligence, (AAAI), 2023.
[Link (Code)]


ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation
Huimin Huang†,Shiao Xie†, Lanfen Lin*, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang*, Yefeng Zheng
AAAI Conference on Artificial Intelligence, (AAAI), 2023.
[Paper (PDF)]


Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks
Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng
European Conference on Computer Vision, (ECCV), 2022.
[Paper (PDF)]


FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss
Jinbao Wang*, Guoyang Xie*, Yawen Huang*, Yefeng Zheng, Yaochu Jin, Feng Zheng
ACM International Conference on Multimedia, (ACM MM), 2022.
[Paper (PDF)]


A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays
Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng
International Conference on Medical Image Computing and Computer-Assisted Intervention, (MICCAI), 2022.
[Paper (PDF)]


mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation
Yao Zhang†, Nanjun He†, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang*, Yang Zhang, Zhiqiang He*, and Yefeng Zheng
International Conference on Medical Image Computing and Computer-Assisted Intervention, (MICCAI), 2022.
[Paper (PDF)]


GuidedMix-Net: Semi-Supervised Semantic Segmentation by Using Labeled Images as Reference
Peng Tu*, Yawen Huang*, Zheng Feng, Zhenyu He, Liujuan Cao, Ling Shao
AAAI Conference on Artificial Intelligence, (AAAI), 2022.
[Link (Code)]


Brain Image Synthesis with Unsupervised Multivariate Canonical CSCℓ4Net
Yawen Huang, Feng Zheng, Danyang Wang, Weilin Huang, Matthew R. Scott, Ling Shao
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Oral.
[Paper (PDF)]


MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis
Yawen Huang, Feng Zheng, Runmin Cong, Weilin Huang, Matthew R. Scott, Ling Shao
IEEE Transactions on Image Processing (TIP), 2020.
[Paper (PDF)]


Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks
Yawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao
Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2020.
[Paper (PDF)]

Simultaneous Super-Resolution and Cross-Modality Synthesis in Magnetic Resonance Imaging
Yawen Huang, Ling Shao, Alejandro F. Frangi
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019.
[Paper (PDF)]

Cross-Modality Image Synthesis via Weakly Coupled and Geometry Co-Regularized Joint Dictionary Learning
Yawen Huang, Ling Shao, Alejandro F. Frangi
IEEE Transactions on Medical Imaging (TMI), 2018.
[Paper (PDF)]

Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding
Yawen Huang, Ling Shao, Alejandro F. Frangi
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[Paper (PDF)]

DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI
Yawen Huang, Ling Shao, Alejandro F. Frangi
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017.
[Paper (PDF)]

Region-Enhanced Joint Dictionary Learning for Cross-Modality Synthesis in Diffusion Tensor Imaging
Danyang Wang, Yawen Huang, Ling Shao, Alejandro F. Frangi
Simulation and Synthesis in Medical Imaging, 2017.
[Paper (PDF)]

Geometry Regularized Joint Dictionary Learning for Cross-Modality Image Synthesis in Magnetic Resonance Imaging
Yawen Huang, Leandro Beltrachini, Ling Shao, Alejandro F. Frangi
Simulation and Synthesis in Medical Imaging, 2016.
[Paper (PDF)]

Magnetic Resonance Imaging Cross-Modality Synthesis
Yawen Huang, Leandro Beltrachini, Ling Shao, Alejandro F. Frangi
International Society for Magnetic Resonance in Medicine (ISMRM), 2016.
[Paper (PDF)]

Color Object Recognition via Cross-Domain Learning on RGB-D Images
Yawen Huang, Fan Zhu, Ling Shao, Alejandro F. Frangi
Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2016.
[Paper (PDF)]