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Computation on Sparse Neural Networks: an Inspiration for Future Hardware


Apr 24, 2020
Fei Sun, Minghai Qin, Tianyun Zhang, Liu Liu, Yen-Kuang Chen, Yuan Xie

* 9 pages, 3 figures 

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A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods


Apr 12, 2020
Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang


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Learning in the Frequency Domain


Mar 12, 2020
Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren

* Accepted to CVPR 2020; https://github.com/calmevtime/DCTNet 

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Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks


Feb 25, 2020
Wen Ma, Pi-Feng Chiu, Won Ho Choi, Minghai Qin, Daniel Bedau, Martin Lueker-Boden

* Published in: 2019 IEEE International Conference on Rebooting Computing (ICRC) 

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Noisy Computations during Inference: Harmful or Helpful?


Nov 26, 2018
Minghai Qin, Dejan Vucinic

* 20 pages, 11 figures, 11 tables 

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Training Recurrent Neural Networks against Noisy Computations during Inference


Jul 17, 2018
Minghai Qin, Dejan Vucinic

* 10 pages 

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