Projects per year
Personal profile
Research interests
machine learning, data sciences, and numerical optimization, computer vision, signal/image processing, and computational imaging, healthcare
Teaching
Deep learning, machine learning
Education/Academic qualification
PhD, When are nonconvex optimization problems not scary? , Columbia University
2011 → 2016
Award Date: May 31 2016
External Positions
Postdoc fellow, Stanford University
2016 → 2019
Fingerprint
Dive into the research topics where Ju Sun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
AI for Map Geolocation and Extraction to Find Critical Minerals
Chiang, Y. & Sun, J.
INFERLINK CORPORATION, USDOD DEFENSE ADV RES PROJECTS
9/26/23 → 3/25/25
Project: Research project
-
SCH: A New Computational Framework for Learning from Imbalanced Biomedical Data
NIH NATIONAL CANCER INSTITUTE (NCI)
8/1/23 → 7/31/27
Project: Research project
-
SCH: A New Computational Framework for Learning from Imbalanced Biomedical Data
8/1/23 → 7/31/24
Project: Research project
-
AI-CLIMATE (Artificial Intelligence Institute for Climate-Land Interactions, Mitigations, Adaption, Trade-Offsand Economy)
Shekhar, S., Babcock, C. R., Chiang, Y., Gini, M. L., Griffis, T. J., Hong, M., Jin, Z., Johnson, J. A., Jordan, N. R., Kumar, V., Mulla, D. J., Papanikolopoulos, N. P., Pardey, P. G., Roop, H. A., Runck, B. C., Steinbach, M., Sun, J., Wilgenbusch, J. & Zobel, J. M.
USDA Nat'l Inst. of Food & Agriculture
6/1/23 → 5/31/26
Project: Research project
-
CPS: Medium: Smart Tracking Systems for Safe and Smooth Interactions Between Scooters and Road Vehicles
Rajamani, R., Morris, N. L. & Sun, J.
THE NATIONAL SCIENCE FOUNDATION
1/1/21 → 12/31/24
Project: Research project
-
Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques
Conelea, C., Liang, H., DuBois, M., Raab, B., Kellman, M., Wellen, B., Jacob, S., Wang, S., Sun, J. & Lim, K., Jan 2024, In: Movement Disorders. 39, 1, p. 183-191 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise
Zhuang, Z., Li, T., Wang, H. & Sun, J., Feb 2024, In: International Journal of Computer Vision. 132, 2, p. 319-348 30 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Interpretable deep learning methods for multiview learning
Wang, H., Lu, H., Sun, J. & Safo, S. E., Dec 2024, In: BMC bioinformatics. 25, 1, 69.Research output: Contribution to journal › Article › peer-review
Open Access -
A cross-institutional evaluation on breast cancer phenotyping NLP algorithms on electronic health records
Zhou, S., Wang, N., Wang, L., Sun, J., Blaes, A., Liu, H. & Zhang, R., Jan 2023, In: Computational and Structural Biotechnology Journal. 22, p. 32-40 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration
Shen, L., Chen, C., Zou, F., Jie, Z., Sun, J. & Liu, W., 2023, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems. p. 1-9 9 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations