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Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning


Jul 12, 2021
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin

* 10 pages, 6 figures, accepted for oral presentation at the IJCAI-21 Workshop on Deep Learning, Case-Based Reasoning, and AutoML: Present and Future Synergies. arXiv admin note: substantial text overlap with arXiv:2103.12308 

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IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography


Mar 23, 2021
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin

* 24 pages, 5 figures, 2 tables 

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FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation


Feb 20, 2021
Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong


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Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction


Aug 03, 2020
Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo

* ECCV 2020 
* 17 pages, 6 figures 

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MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation


Apr 21, 2019
Chaofan Tao, Fengmao Lv, Lixin Duan, Min Wu

* 7 pages, 7 figures, conference paper 

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