- [Research Projects]
- [Academic Services]
- [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 senior research scientist in the Institute for Infocomm
Research, working on AI for medical imaging, robotics and machine vision. He has authored/co-authored many publications at prestigious
journals/conferences, such as TMI, TIP, TBME, IOVS, JAMIA, MICCAI, CVPR and invented more than 10 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.
Computer Vision: Object Detection, Tracking
Medical Image Computing: Medical Image Segmentation, Medical Image Registration
Robotics: Perception, Robotic Surgery
Machine Learning: Unserpervised Learning, Learning With Less Data, Physical-driven Deep Learning
A*STAR SINGA Scholarship: We are looking for international students who wish to pursue their PhDs from Singapore Universities (NUS, NTU, and SUTD).
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: Serve as Area Chiar for NeurIPS 2023.
2023-01: Serve as Area Chair for MICCAI 2023.
2023-01: Happy to be PI of A*STAR AI3 HTPO Seed Fund.
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. https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw
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: Serve as an Area Chair for MICCAI 2022.
2021-10: MICCAI 2022 workshop call for proposal: https://conferences.miccai.org/2022/en/CALL-FOR-WORKSHOPS.html
2021-10: One paper “MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation” has been accepted by BMVC.
2021-09: One paper “Proxy-bridged Image Reconstruction Network for Anomly Detection in Medical Images” has been accepted by IEEE Transactions on Medical Imaging.
2021-07: One paper “Structure and Illumination Constrained GAN for Medical Image Enhancement” has been accepted by IEEE Transactions on Medical Imaging.
2021-07: One paper “Memorizing Structure-Texture Correspondence for Image Anomaly Detection” has been accepted by IEEE Transactions on Neural Networks and Learning Systems.