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MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones

Jun 01, 2020
Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni


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Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness

Feb 17, 2020
Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning

* AAAI2020 

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Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training

Sep 25, 2019
Chunpeng Wu, Wei Wen, Yiran Chen, Hai Li


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Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack

Dec 06, 2018
Jingyang Zhang, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen


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SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning

Sep 01, 2018
Wei Wen, Yandan Wang, Feng Yan, Cong Xu, Chunpeng Wu, Yiran Chen, Hai Li


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MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks

May 11, 2018
Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li, Yiran Chen

* 6 pages, 4 figures, 2 tables 

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TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning

Dec 29, 2017
Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

* NIPS 2017 Oral 

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Coordinating Filters for Faster Deep Neural Networks

Jul 25, 2017
Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

* ICCV 2017 

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A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation

Apr 03, 2017
Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li

* 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17) 

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Learning Structured Sparsity in Deep Neural Networks

Oct 18, 2016
Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

* Accepted by NIPS 2016 

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A New Learning Method for Inference Accuracy, Core Occupation, and Performance Co-optimization on TrueNorth Chip

Jul 16, 2016
Wei Wen, Chunpeng Wu, Yandan Wang, Kent Nixon, Qing Wu, Mark Barnell, Hai Li, Yiran Chen

* 6 pages; 9 figures; DAC 2016 

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