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SplitNet: Divide and Co-training

Dec 29, 2020
Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu


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Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework

Oct 10, 2020
Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu

* 9 pages, 3 figures 

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Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds

Apr 01, 2020
Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai


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DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration

Dec 21, 2019
Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu

* 9 pages, 5 figures 

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REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data

Nov 17, 2019
Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song

* Early version in ICML 2019 Workshop on Security and Privacy of Machine Learning. The first two authors contribute equally 

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The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

Nov 17, 2019
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song


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COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

Jun 25, 2019
Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He

* 7 pages, 4 figures, has been accepted by IJCAI2019 

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