I’m a PhD student in Bioengineering at UC Berkeley/UCSF (2019–). I completed B.S. in Computer Science and Applied Mathematics and M.S. in Computer Science both at UCLA. I worked on automated prostate cancer diagnosis from multi-parametric MRI in Magnetic Resonance Research Labs, advised by Prof. Kyung Hyun Sung and co-advised by Prof. Fabien Scalzo. During my undergrad, I worked on knowledge graph parsing/explainable AI advised by Prof. Song-Chun Zhu.
B.S. in Computer Science, 2017
B.S. in Applied Mathematics, 2017
M.S. in Computer Science, 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. UCLA Newsroom
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 proc. 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 proc. of AAAI 2017. arXiv preprint arXiv: 1611.04246.