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Balancing Biases and Preserving Privacy on Balanced Faces in the Wild


Mar 16, 2021
Joseph P Robinson, Can Qin, Yann Henon, Samson Timoner, Yun Fu


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Emerging Paradigms of Neural Network Pruning


Mar 11, 2021
Huan Wang, Can Qin, Yulun Zhang, Yun Fu


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Neural Pruning via Growing Regularization


Dec 16, 2020
Huan Wang, Can Qin, Yulun Zhang, Yun Fu


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SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis


Dec 07, 2020
Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu


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Face Recognition: Too Bias, or Not Too Bias?


Feb 16, 2020
Joseph P Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner

* for associated image data, see https://forms.office.com/Pages/ResponsePage.aspx?id=DQSIkWdsW0yxEjajBLZtrQAAAAAAAAAAAAMAAMDJhXxUMElHQ0tVSDFSNDZTMVBPSVpXMkxJTkY4Ny4u 

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Opposite Structure Learning for Semi-supervised Domain Adaptation


Feb 06, 2020
Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu

* 8 pages without citations 

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Deep-Learning-Enabled Simulated Annealing for Topology Optimization


Feb 04, 2020
Changyu Deng, Can Qin, Wei Lu


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PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation


Nov 07, 2019
Can Qin, Haoxuan You, Lichen Wang, C. -C. Jay Kuo, Yun Fu

* 12 pages, 4 figures, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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