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See through Gradients: Image Batch Recovery via GradInversion


Apr 15, 2021
Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

* CVPR 2021 accepted paper 

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MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks


Feb 20, 2021
Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha

* 11 pages, 6 figures 

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Fully Dynamic Inference with Deep Neural Networks


Jul 29, 2020
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha


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Efficient Synthesis of Compact Deep Neural Networks


Apr 18, 2020
Wenhan Xia, Hongxu Yin, Niraj K. Jha


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Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion


Dec 18, 2019
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz


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DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks


Oct 11, 2019
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha


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Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks


May 27, 2019
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


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Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM


Jan 30, 2019
Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha


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ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation


Dec 21, 2018
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha


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NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm


Jun 01, 2018
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


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Grow and Prune Compact, Fast, and Accurate LSTMs


May 31, 2018
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha


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