Multi-Shot Mining Semantic Part Concepts in CNNs. - Quanshi Zhang; Ruiming Cao; Ying Nian Wu; Song-Chun Zhu (CoRR, 2016)

Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. - Quanshi Zhang; Ruiming Cao; Ying Nian Wu; Song-Chun Zhu (AAAI, 2017)

Mining Object Parts from CNNs via Active Question-Answering. - Quanshi Zhang; Ruiming Cao; Ying Nian Wu; Song-Chun Zhu (CVPR, 2017)

Interactively Transferring CNN Patterns for Part Localization. - Quanshi Zhang; Ruiming Cao; Shengming Zhang; Mark Edmonds; Ying Nian Wu; Song-Chun Zhu (CoRR, 2017)

Interpreting CNN Knowledge via an Explanatory Graph. - Quanshi Zhang; Ruiming Cao; Feng Shi 006; Ying Nian Wu; Song-Chun Zhu (AAAI, 2018)

Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering. - Quanshi Zhang; Ruiming Cao; Ying Nian Wu; Song-Chun Zhu (CoRR, 2018)

Explanatory Graphs for CNNs. - Quanshi Zhang; Xin Wang 108; Ruiming Cao; Ying Nian Wu; Feng Shi 006; Song-Chun Zhu (CoRR, 2018)

Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI. - Ruiming Cao; Xinran Zhong; Fabien Scalzo; Steven S. Raman; Kyung Hyun Sung (ICCV Workshops, 2019)

Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field. - Ruiming Cao; Xinran Zhong; Sepideh Shakeri; Amirhossein Mohammadian Bajgiran; Sohrab Afshari Mirak; Dieter Enzmann; Steven S. Raman; Kyung Hyun Sung (ISBI, 2019)

Spatiotemporal Clustering Analysis of Bicycle Sharing System with Data Mining Approach. - Xinwei Ma; Ruiming Cao; Yuchuan Jin (Inf., 2019)

Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet. - Ruiming Cao; Amirhossein Mohammadian Bajgiran; Sohrab Afshari Mirak; Sepideh Shakeri; Xinran Zhong; Dieter Enzmann; Steven S. Raman; Kyung Hyun Sung (IEEE Trans. Medical Imaging, 2019)

Prostate Cancer Diagnosis from Multi-parametric Magnetic Resonance Imaging via Deep Learning. - Ruiming Cao (2019)

Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering. - Quanshi Zhang; Jie Ren 018; Ge Huang; Ruiming Cao; Ying Nian Wu; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Extraction of an Explanatory Graph to Interpret a CNN. - Quanshi Zhang; Xin Wang 108; Ruiming Cao; Ying Nian Wu; Feng Shi 006; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Dynamic Structured Illumination Microscopy with a Neural Space-time Model. - Ruiming Cao; Fanglin Linda Liu; Li-Hao Yeh; Laura Waller (ICCP, 2022)

Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras. - Ruiming Cao; Dekel Galor; Amit P. S. Kohli; Jacob L. Yates; Laura Waller (CoRR, 2024)

Multi-modal deformable image registration using untrained neural networks. - Quang-Dung Nguyen; Ruiming Cao; Laura Waller (CoRR, 2024)

Unknown Motion Calibration and Dynamic Imaging Reconstruction - Ruiming Cao (2024)

Multi-Modal Deformable Image Registration Using Untrained Neural Networks. - Quang Luong Nhat Nguyen; Ruiming Cao; Laura Waller (ISBI, 2025)