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Muyi Sun (孙沐毅) ✨【Now:】Associate Research Fellow (副研究员) Intelligent System Research Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications. ✨【Previously:】 PostDoc Researcher / Assistant Research Fellow Center for Research on Intelligent Perception and Computing, State Key Laboratory of Multimodal Artificial Intelligence Systems, (Previously National Laboratory of Pattern Recognition), Institute of Automation, Chinese Academy of Sciences. [Email_1] muyi.sun@bupt.edu.cn (As the Office Mailbox Now) [Email_2] muyi.sun@cripac.ia.ac.cn (As the Office Mailbox Previously) |
  Dog.Niu and Chou Growing up with me and Lighting up My Life |
About Me
Recently, I have joined the School of Artificial Intelligence, Beijing University of Posts and Telecommunicationsas an Associate Research Fellow. Welcome self-motivated students with academic ideals to apply for Intelligent System Research Laboratory!
欢迎有上进心、有学术理想、对AI有热情的同学报考【北京邮电大学】【人工智能学院】【智能系统研究室】.
具体专业:学术型【控制科学与工程】，专业型【电子信息(人工智能)】. 【培养无区别】
官方中文主页请参见：https://teacher.bupt.edu.cn/muyisun/zh_CN/index.htm
Meanwhile，团队的部分名额会和中科院自动化所进行联合培养，或与香港科技大学Dr.Xingqun Qi联合指导.
感兴趣的同学请随时与我邮箱联系！
Previously, I was a Postdoctoral Researcher with the Center for Research on Intelligent Perception and Computing (CRIPAC), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), [Previously National Laboratory of Pattern Recognition (NLPR)], Institute of Automation, Chinese Academy of Sciences (CASIA), advised by Prof. Zhenan Sun.
I received my Ph.D. Degree in Control Science and Engineering from the School of Automation (AI Nowadays), Beijing University of Posts and Telecommunications (BUPT) in 2020, working with Dr. Hao Dang and Dr. Guanhong Zhang. Before that, I received my B.S. Degree in Automation from the School of Automation (AI Nowadays), BUPT in 2015, under the supervision of Prof. Jun Yang.
In recent years, our papers have been published on reputable journals and conferences such as IEEE/ACM TMI, TIFS, TII, TCBB, JBHI and CVPR (as the First or Corresponding Author).
Research Fields
My research interests include Medical Image Analysis (advised by Prof.Caifeng Shan and Prof.Zhenan Sun) and Biometric (Human-Centric) Image Generation (advised by Prof.Zhenan Sun). Recently, my main research topics include Efficient and Multi-Modality Medical Image Analysis (Transformer-based, MixUp-based, Knowledge Distillation, MultiModal Learning) and Controllable Person Image Generation (GAN-based, Diffusion-based, MultiModal Learning).Latest News
[04/2024] I was selected as System Review Expert of National Natural Science Foundation of China.[04/2024] Our work HumanDiffusion was accepted to Springer IJCV.
[03/2024] One paper on Genelizable Distillation was accepted to IEEE J-BHI.
[03/2024] Two paper on VQAssessment and Efficient VLMs were accepted to IEEE/CVF CVPR 2024.
[12/2023] One paper on Free-style Text-to-Face Synthesis was accepted to IEEE T-PAMI.
[12/2023] One paper on Face-Sketch Synthesis was accepted to IEEE T-NNLS.
[08/2023] I was awarded Youth Funding Project from National Natural Science Foundation of China.
[08/2023] One paper on Micro-Motion Human Patterns was accepted to ACM MM 2023.
[07/2023] I was awarded Special Funding Project from China Postdoctoral Science Foundation.
[03/2023] One paper on 3D Hand Gesture Prediction was accepted to IEEE/CVF CVPR 2023.
[12/2022] One paper on Pathological Nucleus Image Segmentation was accepted to ACM T-CBB.
[12/2022] Our work Graph Flow on Lightweight Medical Image Segmentation was accepted to IEEE T-MI.
[09/2022] One paper on Face Inpainting was accepted to BMVA BMVC 2022.
[06/2022] I was awarded General Funding Project from China Postdoctoral Science Foundation.
[06/2022] Our work AnyFace in CVPR 2022 was selected as one of the Best Paper Finalists.
[03/2022] Two paper on Biometric Image Generation were accepted to IEEE/CVF CVPR 2022.
[03/2022] One paper on Bipasic Facial Age Translation was accepted to IEEE T-IFS.
Recent Publications and Pre-Prints [Full list: Google Scholar]
| Biometric Image Generation | Medical Image Analysis |
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A Unified Framework for Biphasic Facial Age Translation with Noisy Semantic Guided Generative Adversarial Networks.
Muyi Sun, Zhenan Sun#, et al. IEEE Transactions on Information Forensics and Security (CAS-Top, CCF-A, IF=7.231). [URL] |
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Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation.
Wenxuan Zou, Muyi Sun#, et al. IEEE Transactions on Medical Imaging (CAS-Top, CCF-B, IF=11.037). [URL] [Code] |
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Self-supervised Correlation Mining Network for Person Image Generation.
Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun#. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2022, CCF-A). [URL] |
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An Automated Framework for Histopathological Nucleus Segmentation with Deep Attention Integrated Networks.
Muyi Sun, Zhaoyang Wang#, Zhenan Sun, et al. ACM Transactions on Computational Biology and Bioinformatics (Reputable, CCF-B, IF=3.710). [URL] |
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ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks.
Zhuojie Wu, Muyi Sun#, Zhenan Sun, et al. BMVA The British Machine Vision Conference (BMVC, 2022, Reputable). Personal Favorite Article. [arXiv] |
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Accurate Retinal Vessel Segmentation in Color Fundus images via Fully Attention-based Networks.
Kaiqi Li, Muyi Sun#, et al. IEEE Journal of Biomedical and Health Informatics (CAS-Top, Reputable, IF=7.021). [URL] |
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Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Networks with Graph Representation Learning.
Xingqun Qi*, Muyi Sun*, Caifeng Shan#, et al. IEEE Transactions on Neural Networks and Learning Systems. (CAS-Top, CCF-B, IF=14.255) [arXiv] |
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Prediction of BAP1 expression in uveal melanoma using densely-connected deep classification networks.
Muyi Sun, Gustav Stalhammar#, et al. Cancers-Medical Journal (CAS-Top, Reputable, IF=6.575). [URL] |
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HumanDiffusion: Free-style Text-Driven Person Image Generation.
Kaiduo Zhang, Muyi Sun, Kunbo Zhang#, Zhenan Sun, Tieniu Tan, et al. Springer International Journal of Computer Vision (CAS-Top, CCF-A, IF=19.5). [arXiv] |
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Exploring Generalizable Distillation for Efficient Medical Image Segmentation.
Xingqun Qi, Muyi Sun#, Caifeng Shan, Zhenan Sun, et al. IEEE Journal of Biomedical and Health Informatics (CAS-Top, Reputable, IF=7.7). [arXiv] |
Service as Reviewer
[Journal] IEEE Transactions on Medical Imaging.[Journal] IEEE Transactions on Neural Networks and Learning Systems.
[Journal] IEEE Journal of Biomedical and Health Informatics.
[Journal] IEEE Transactions on Industrial Informatics.
[Journal] IEEE Transactions on Multimedia.
[Journal] IEEE Transactions on Network and Service Management.
[Journal] IEEE Transactions on Artificial Intelligence.
[Journal] IEEE Transactions on Geoscience and Remote Sensing.
[Journal] IEEE Transactions on Automation Science and Engineering.
[Journal] IEEE Transactions on Big Data.
[Journal] IEEE Transactions on Intelligent Transportation Systems.
[Journal] IEEE Transactions on Emerging Topics in Computational Intelligence.
[Journal] IEEE Signal Processing Letters.
[Journal] ACM Transactions on Multimedia Computing Communications and Applications.
[Journal] Elsevier Information Fusion.
[Journal] Elsevier Artificial Intelligence in Medicine.
[Journal] Nature Scientific Reports. [et. al]
[Conference] IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[Conference] IEEE International Conference on Acoustics, Speech and Signal Processing.
[Conference] IEEE/IAPR International Conference on Pattern Recognition.
[Conference] ACM International Conference on MultiMedia. [et. al]
Awards
[06/2022] IEEE/CVF CVPR Best Paper Finalists.[05/2020] Outstanding Graduate of BUPT.
[10/2019] NanDu ScholarShip and First Class Scholarship of BUPT.
[12/2017] IEEE ICAMechS Best Paper Award.
[10/2016] First Class Scholarship of BUPT.
Acknowledgments
Thanks very much to the following people. We have spent a long difficult time together. We share common academic ideals. I wish them all the best in their academic career. They are Dr. Hao Dang (BUPT Beijing), Dr. Guanhong Zhang (BUPT Beijing), Dr. Kaiqi Li (CityU HongKong), Dr. Xingqun Qi (HKUST HongKong), Dr. Wenxuan Zou (BUAA Beijing),Dr. Zijian Wang (USYD Sydney), and Dr. Zhuojie Wu (UQ Queensland).Meanwhile, I would also like to thank the master students in the previous MIA group, and wish them success in their work. They are Kai Han (Deepwise AI), Siqi Liang (CM Bank), Wenbao Zhang (CETC_54th Institute), Zheng Li (PaperGame Ltd), Yiwen Luo(BC Bank), and Zeyi Yao (ABC Bank).
Many thanks to Richard Zhang and Zengjie Song for sharing their website template!