I’m a second-year graduate student in computer science at University of California, Los Angeles (UCLA). I’m working on multi-parametric MRI analysis in Magnetic Resonance Research Labs, Radiology, supervised by Prof. Kyung Hyun Sung. I graduated with B.S. in computer science and in applied mathematics at UCLA in 2017. During my undergrad, I worked on knowledge graph parsing/explainable AI supervised by Prof. Song-Chun Zhu.
B.S. in Computer Science, 2017
B.S. in Applied Mathematics, 2017
M.S. in Computer Science, Exp. 2019
R. Cao, A. Mohammadian, S. Afshari, S. Shakeri, X. Zhong, D. Enzmann, S. Raman, K. Sung. “Joint prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.” IEEE Transactions on Medical Imaging (TMI), early access. DOI: 10.1109/TMI.2019.2901928.
R. Cao, X. Zhong, S. Shakeri, A. Mohammadian, S. Afshari, D. Enzmann, S. Raman, K. Sung. “Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field.” In proc. of IEEE International Symposium on Biomedical Imaging (ISBI) 2019, oral, Best paper runner-up.
Q. Zhang, R. Cao, S. Zhang, M. Redmonds, Y. N. Wu, S.-C. Zhu. “Interactively transferring CNN Patterns for Part Localization”. In proc. of AAAI 2018. arXiv preprint arXiv: 1708.01783.
X. Zhong, R. Cao, S. Shakeri, F. Scalzo, Y. Lee, D. Enzmann, H. Wu, S. Raman, K. Sung. “Deep Transfer Learning Based Prostate Cancer Classification using 3 Tesla Multi-parametric MRI” Abdominal Radiology 2018.
Q. Zhang, R. Cao, Y. N. Wu, S.-C. Zhu. “Deep Asking: CNN Part Concepts Mining via Human-CNN Dialogues”. In proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2017. arXiv preprint arXiv: 1704.03173.
Q. Zhang, R. Cao, Y. N. Wu, S.-C. Zhu. “Multi-Shot Mining Semantic Part Concepts in CNNs”. In proceedings of AAAI 2017. arXiv preprint arXiv: 1611.04246.