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SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System


May 20, 2022
Liang Shen, Zhihua Wu, WeiBao Gong, Hongxiang Hao, Yangfan Bai, HuaChao Wu, Xinxuan Wu, Haoyi Xiong, Dianhai Yu, Yanjun Ma


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An Empirical Study of Low Precision Quantization for TinyML


Mar 10, 2022
Shaojie Zhuo, Hongyu Chen, Ramchalam Kinattinkara Ramakrishnan, Tommy Chen, Chen Feng, Yicheng Lin, Parker Zhang, Liang Shen

* tinyML Research Symposium 2022 

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End-to-end Adaptive Distributed Training on PaddlePaddle


Dec 06, 2021
Yulong Ao, Zhihua Wu, Dianhai Yu, Weibao Gong, Zhiqing Kui, Minxu Zhang, Zilingfeng Ye, Liang Shen, Yanjun Ma, Tian Wu, Haifeng Wang, Wei Zeng, Chao Yang

* 16 pages, 10 figures, 4 tables 

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Multilevel Image Thresholding Using a Fully Informed Cuckoo Search Algorithm


May 31, 2020
Xiaotao Huang, Liang Shen, Chongyi Fan, Jiahua zhu, Sixian Chen


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Novel Co-variant Feature Point Matching Based on Gaussian Mixture Model


Oct 26, 2019
Liang Shen, Jiahua Zhu, Chongyi Fan, Xiaotao Huang, Tian Jin

* arXiv admin note: text overlap with arXiv:0905.2635 by other authors 

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Low-Power Computer Vision: Status, Challenges, Opportunities


Apr 15, 2019
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong Gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

* Preprint, Accepted by IEEE Journal on Emerging and Selected Topics in Circuits and Systems. arXiv admin note: substantial text overlap with arXiv:1810.01732 

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Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution


Mar 12, 2019
Chen Feng, Tao Sheng, Zhiyu Liang, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Matthew Ardi, Alexander C. Berg, Yiran Chen, Bo Chen, Kent Gauen, Yung-Hsiang Lu

* Accepted At The 2nd Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD 2) 

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2018 Low-Power Image Recognition Challenge


Oct 03, 2018
Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

* 13 pages, workshop in 2018 CVPR, competition, low-power, image recognition 

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Radiative Transport Based Flame Volume Reconstruction from Videos


Sep 17, 2018
Liang Shen, Dengming Zhu, Saad Nadeem, Zhaoqi Wang, Arie Kaufman

* IEEE Transactions on Visualization and Computer Graphics, 24(7): 2209-2222, 2018 

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A Quantization-Friendly Separable Convolution for MobileNets


Mar 22, 2018
Tao Sheng, Chen Feng, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Mickey Aleksic

* Accepted At THE 1ST WORKSHOP ON ENERGY EFFICIENT MACHINE LEARNING AND COGNITIVE COMPUTING FOR EMBEDDED APPLICATIONS (EMC2) 

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