Jun Cheng
Principal Scientist |
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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:
Open Positions:
Projects:
- 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:
- 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.
- 2022-12: One paper "CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation" has been accepted by TIP.
- 2022-10: Happy to be
Top 2% Scientists Worldwide in the area of artificial intelligence & image processing, identified by Stanford University, 2022. - 2022-09: One paper "RA Loss: Relation-Aware Loss for Robust Person Re-identification" has been accepted by ACCV.
- 2022-08: Be invited to serve as Area Chair for ICLR 2023
- 2022-07: Be invited to serve as Associate Editor for IEEE TIP.
- 2022-01: Be invited to serve as Area Chair for MICCAI 2022.
