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Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs


May 04, 2022
Jie Ren, Mingjie Li, Meng Zhou, Shih-Han Chan, Quanshi Zhang


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Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models


Nov 30, 2021
Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang


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Visualizing the Emergence of Intermediate Visual Patterns in DNNs


Nov 05, 2021
Mingjie Li, Shaobo Wang, Quanshi Zhang


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Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness


Nov 03, 2021
Ke Sun, Mingjie Li, Zhouchen Lin


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Generating Watermarked Adversarial Texts


Oct 25, 2021
Mingjie Li, Hanzhou Wu, Xinpeng Zhang

* https://scholar.google.com/citations?user=IdiF7M0AAAAJ&hl=en 

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Interpreting and Boosting Dropout from a Game-Theoretic View


Oct 10, 2020
Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang


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Interpreting and Disentangling Feature Components of Various Complexity from DNNs


Jun 29, 2020
Jie Ren, Mingjie Li, Zexu Liu, Quanshi Zhang


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Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation


Jun 06, 2020
Mingjie Li, Fuyu Wang, Xiaojun Chang, Xiaodan Liang

* 11 pages, 3 figures 

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An Action Recognition network for specific target based on rMC and RPN


Jun 19, 2019
Mingjie Li, Youqian Feng, Zhonghai Yin, Cheng Zhou, Fanghao Dong, Yuan Lin, Yuhao Dong

* 10 pages, 14 figures 

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Impoved RPN for Single Targets Detection based on the Anchor Mask Net


Jun 18, 2019
Mingjie Li, Youqian Feng, Zhonghai Yin, Cheng Zhou, Fanghao Dong

* 10 pages,9 Figure 

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IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks


Jul 20, 2018
Ke Sun, Mingjie Li, Dong Liu, Jingdong Wang

* 10 pages, 2 figures, accepted by BMVC 2018 

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