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Homepage of Jun Cheng
[Research Interest ]
- [Positions ]
- [Projects ]
- [News ]
- [Services ]
- [Recognitions ]
- [Selected Publications ]
- [Google Scholar]
Jun Cheng received the B. E. degree in electronic engineering and information science from the University of Science and Technology of China, and the Ph. D. degree from Nanyang Technological University, Singapore. He is now a principal scientist in the Institute for Infocomm Research, A*STAR, working on AI for medical imaging, robust vision & perception, and machine learning. He has authored/co-authored over 200 publications at prestigious journals/conferences, such as TMI, TIP, TBME, IOVS, JAMIA, MICCAI, CVPR and invented more than 20 patents. He has received the IES Prestigious Engineering Achievement Award 2013. He serves as reviewers for many journal/conferences and area chairs for MICCAI, AAAI, ICLR, NeurIPS. He is currently associate editor for IEEE TIP and IEEE TMI.
Research Interest:
AI for Imaging: AI-enhanced Imaging, Low Light Imaging
AI for Biomedical and Healthcare: Medical Image Registration, Medical Image Analysis and Understanding
Computer Vision: 3D Vision, Robust Vision and Perception, Multimodal Foundational Models
Machine Learning: Trustworthy AI, Unserpervised Learning, Multimodal Data Learning, Learning With Less Data
Chinese Government Scholarship:
Chinese CSC Scholarships
support exchange PhD students from China.
A*STAR Graduate Scholarship:
A*STAR Graduate Scholarship supports Singapore students who wish to pursue their PhDs from Singapore Universities (NUS, NTU, and SUTD).
A*STAR ARAP:
A*STAR Research Attachment Programme support visiting international PhD students.
Research Interns:
Looking for research intern students for projects.
Jun Cheng
Principal Scientist |
|
Jun Cheng received the B. E. degree in electronic engineering and information science from the University of Science and Technology of China, and the Ph. D. degree from Nanyang Technological University, Singapore. He is now a principal scientist in the Institute for Infocomm Research, A*STAR, working on AI for medical imaging, robust vision & perception, and machine learning. He has authored/co-authored over 200 publications at prestigious journals/conferences, such as TMI, TIP, TBME, IOVS, JAMIA, MICCAI, CVPR and invented more than 20 patents. He has received the IES Prestigious Engineering Achievement Award 2013. He serves as reviewers for many journal/conferences and area chairs for MICCAI, AAAI, ICLR, NeurIPS. He is currently associate editor for IEEE TIP and IEEE TMI.
New: I am looking for PhD students funded by A*STAR AGS
Open Positions:
Projects:
- Co-Principal Investigator, "CARDIA-GM", NHIC, 2025-2026.
- Co-Principal Investigator, "Towards Realisitic Deep Learning for 3D Vision", MTC Programmatic Fund, 2023-2026.
- Principal Investigator, "AI-based OCT Angiography for Non-Invasive Capillary Blood Flow Imaging", A*STAR AI3 HTPO Seed Fund, 2023-2024
- Co-Principal Investigator, "Weakly Supervised Learning by Joint Convolutional and Graph Networks for Non-linear Medical Image Registration", A*STAR AI3 HTPO Seed Fund, 2022-2023.
- Co-Principal Investigator, "Spatial Transcriptomics in Conjuction with Graph Neural Networks for Cell-Cell Interaction", A*STAR AI3 HTPO Seed Fund, 2022-2024.
- Principal Investigator, "Object Detection in Robotics", UBTech Research, 2019-2020.
- Principal Investigator, "ACTIA: Automatic Cardiac Optical Coherence Tomography Image Analysis for Coronary Artery Disease Risk Assessment", A*STAR BEP, 2015-2017.
Recent News:
- 2025-07: Awarded for NHIC on CARDIA-GM: Cardiac Advanced Recognition for Detection of mIcrovascular Abnormalities – Generalizable Model.
- 2025-05: One paper accepted by TIP.
- 2025-05: Three papers early accepted by MICCAI 2025.
- 2025-05: One paper accepted by TCI.
- 2025-03: One paper accepted by Neurocomputing.
- 2025-02: One paper accepted by CVPR 2025.
- 2025-01: One paper accepted by ICRA 2025.
- 2025-01: One paper accepted by TMI.
- 2025-01: One paper accepted by ICLR 2025.
- 2024-11: One paper accepted by TMLR.
- 2024-10: One paper accepted by WACV 2025.
- 2024-09: Happy to be
Top 2% Scientists Worldwide in the area of artificial intelligence & image processing, identified by Stanford University, - 2024-08: Be appointed as Senior Area Editor for IEEE TIP.
- 2024-07: Be invited to serve as Area Chair for ICLR 2025.
- 2024-07: One paper accepted by TPAMI.
- 2024-07: One paper accepted by ACMMM 2024.
- 2024-07: One paper accepted by ECCV 2024
- 2024-06: One paper accepted by TII
- 2024-05: One paper accepted by MICCAI 2024.
- 2024-05: One paper accepted by TIV.
- 2024-04: One paper accepted by JBHI.
- 2024-03: Be invited to serve as Area Chair for NeurIPS 2024.
- 2024-02: One paper accepted by CVPR 2024.
- 2023-12: One paper accepted by AAAI 2024.
- 2023-10: Happy to be
Top 2% Scientists Worldwide in the area of artificial intelligence & image processing, identified by Stanford University, - 2023-10: One paper accepted by IJCV.
- 2023-09: Be invited to serve as Area Chair for ICPR 2024.
- 2023-08: Be invited to serve as Area Chair for ICLR 2024.
- 2023-07: Happy to be co-PI of MTC Programmatic Funds：Towards Realisitic Deep Learning for 3D Vision.
- 2023-07: One paper accepted by ICCV 2023.
- 2023-06: Happy to be PI of A*STAR AI3 HTPO Seed Fund.
- 2023-04: Call for paper: Themed Series of APSIPA Trans. on Signal and Information Processing on “AI for Healthcare”
- 2023-03: One student has been awarded by
Singapore International Pre-Graduate Award. - 2023-03: One paper "Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and An Objective Method" has been accepted by TCSVT.
- 2023-03: Be invited to serve as Area Chair for NeurIPS 2023.
- 2023-02: One student has been awarded by
Singapore International Pre-Graduate Award. - 2023-01: Be invited to serve as Area Chair for MICCAI 2023.
- 2023-01: One paper "CLC-Net: Contextual and Local Collaborative Network for Lesion Segmentation in Diabetic Retinopathy Images" has been accepted by Neurocomputing.
Academic Services:
- Memberships:
- IEEE Senior Member.
- Senior Area Editor:
- IEEE Transactions on Image Processing(IEEE TIP), 2024 - present.
- Associate Editor:
- IEEE Transactions on Medical Imaging (IEEE TMI), 2015 - present.
- IEEE Transactions on Image Processing(IEEE TIP), 2022 - 2024.
- Guest Editor:
- IEEE JBHI Special issue on “Ophthalmic Image Analysis and Informatics”, 2020. [Link]
- Area Chair/Senior-PC:
- MICCAI (2019, 2021, 2022,2023), AAAI (2022), ICLR (2023, 2024, 2025), NeurIPS (2023, 2024), ICPR（2024).
- Chair:
- MICCAI Workshop, 2022 [Link]
Recognitions:
- 'Top 2% Scientists Worldwide', identified by Stanford University, 2022-2024.
- IEEE TMI Distinguished Reviewer.
- IES Prestigious Engineering Achievement Award, 2013
Selected Publications:
See more publications in: [Google Scholar]- Bingyu Yang, Bingyao Tan, Zaiwang Gu, Leopold Schmetterer, Huiqi Li, Jun Cheng
Improving OCTA Imaging Through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data
MICCAI, 2025. - Jingbo Zeng, Bingyao Tan, Zaiwang Gu, Shenghua Gao, Leopold Schmetterer, Jun Cheng
Intra-and Cross-View Enhancement for OCTA Imaging
MICCAI, 2025. - Yige Yan, Jun Cheng, Xulei Yang, Shuang Leng, Ru San Tan, Liang Zhong, Jagath C Rajapakse
Dual Correlation-Aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance
MICCAI, 2025. - Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching
TIP, 2025. - Yang Yu, Jiahao Wang, Weide Liu, Ivan Ho Mien, Pavitra Krishnaswamy, Xulei Yang, Jun Cheng
Multimodal multitask similarity learning for vision language model on radiological images and reports
Neurocomputing, 2025. - Rui Gong, Kim-Hui Yap, Weide Liu, Xulei Yang, Jun Cheng
Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification
CVPR, 2025. - Yi Zhou, Thiara Sana Ahmed, Meng Wang, Eric A. Newman, Leopold Schmetterer, Huazhu Fu, Jun Cheng, Bingyao Tan
Masked Vascular Structure Segmentation and Completion in Retinal Images
TMI, 2025. - Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng, Xulei Yang
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
ICLR, 2025. - Jingbo Zeng, Zaiwang Gu, Lile Cai, Jun Cheng
Uncertainty Aware Interest Point Detection and Description
WACV, 2025. - Zaiwang Gu, Weide Liu, Xulei Yang, Chuan-Sheng Foo, Jun Cheng
When Low-vision Task Meets Dense Prediction Tasks with Less Data: An Auxiliary Self-trained Geometry Regularization
TMLR, 2024. - Tianyang Zhang, Shaoming Zheng, Jun Cheng*, Xi Jia, Joseph Bartlett, Xinxing Cheng, Zhaowen Qiu, Huazhu Fu, Jiang Liu, Aleš Leonardis, and Jinming Duan,
Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation
TPAMI, 2024. - Ming Hu, Peng Xia, Lin Wang, Siyuan Yan, Feilong Tang，Zhongxing Xu, Yimin Luo, Kaimin Song, Jurgen Leitner，Xuelian Cheng, Jun Cheng, Chi Liu, Kaijing Zhou, and Zongyuan Ge,
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
ECCV, 2024. - Yige Yan, Jun Cheng*, Xulei Yang, Zaiwang Gu, Shuang Leng, Ru San Tan, Zhong Liang, Jagath Rajapakse,
Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from Non-Contrast Cine Cardiac MRI
MICCAI, 2024. - Jiayuan Fan, Haixiang Chen, Weide Liu, Xun Xu, Jun Cheng*,
Holistic and Contextual Evidential Stereo-LiDAR Fusion by Depth Estimation
TIV, 2024. - Yimin Luo, Qinyu Yang, Ziyi Liu, Zenglin Shi, Weimin Huang, Guoyan Zheng, Jun Cheng*,
Target-Guided Diffusion Models for Unpaired Cross-modality Medical Image Translation
JBHI, 2024. - Rui Gong, Weide Liu, Zaiwang Gu, Xulei Yang, Jun Cheng*,
Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching,
CVPR, 2024. - Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng, Weimin Huang, Jun Cheng*,
SuperJunction: Learning-based Junction Detection for Retinal Image Registration,
AAAI, 2024. - Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan Sheng Foo, Jun Cheng, Guosheng Lin,
Harmonizing Base and Novel Classes: A Class Contrastive Approach for Generalized Few-Shot Segmentation,
International Journal on Computer Vision, 2023. - Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng*,
ELFNet: Evidential Local-global Fusion for Stereo Matching,
International Confernece on Computer Vision, 2023. [Code] - Guanghui Yue, Di Cheng, Tianwei Zhou, Jingwen Hou, Weide Liu, Long Xu, Tianfu Wang, Jun Cheng,
Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and An Objective Method,
IEEE Transactions on Circuits and Systems for Video Technology, 2023. - Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao,
Memorizing Structure-Texture Correspondence for Image Anomaly Detection,
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 6, pp. 2335-2349, 2022.
- Yepeng Liu, Zaiwang Gu, Shenghua Gao, Dong Wang, Yusheng Zeng, Jun Cheng*,
MOS：A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation,
BMVC, 2021.
[Code] - Tianyang Zhang, Jun Cheng*, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Rui Zheng, Jiang Liu,
Noise Adaptation Generative Adversarial Network for Medical Image Analysis
IEEE Trans. On Medical Imaging (TMI), vol. 39, no. 4, pp. 1149-1159, 2020.
[Code] - Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao,
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
European Conference on Computer Vision (ECCV), 2020.
[Code] - Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao,
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images
IEEE Trans. On Medical Imaging (TMI), vol. 38, no. 10, pp. 2281-2292, 2019.
[Code] - Jimmy Addison Lee, Peng Liu, Jun Cheng* and Huazhu Fu,
A Deep Step Pattern Representation for Multimodal Retinal Image Registration
in IEEE International Conference in Computer Vision (ICCV), 2019.
- Zaiwang Gu, Jun Cheng*, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu,
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
IEEE Trans. On Medical Imaging (TMI), vol. 38, no. 10, pp. 2281-2292, 2019.
[Code] (ESI Highly Cited Paper ,Top-20 Most Cited Paper within 5 Years in IEEE TMI 2022 ,Top-50 Most Frequently Accessed Documents in IEEE TMI" ) - Jun Cheng*, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong, Jiang Liu,
Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis
IEEE Transactions on Medical Imaging (TMI), vol. 37, no. 11, pp. 2536-2546, 2018.
[Code] - Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao,
Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation
IEEE Transactions on Medical Imaging (TMI), vol. 37, no. 7, pp. 1597–1605, 2018.
[Code] (ESI Highly Cited Paper ,Top-20 Most Cited Paper within 5 Years in IEEE TMI 2022 ) - Huazhu Fu, Jun Cheng*, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao,
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image,
EEE Transactions on Medical Imaging (TMI), vol. 37, no. 11, pp. 2493–2501, 2018.
[Code]
