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On-Device Training Under 256KB Memory


Jul 14, 2022
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han


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Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications


Apr 25, 2022
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han

* ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 27, Issue 3, Article 20, Page 1-50, 2021 
* Journal preprint (ACM TODAES, 2021). The first seven authors contributed equally to this work and are listed in the alphabetical order 

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IOS: Inter-Operator Scheduler for CNN Acceleration


Nov 02, 2020
Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han


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Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning


Jul 28, 2020
Han Cai, Chuang Gan, Ligeng Zhu, Song Han


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HAT: Hardware-Aware Transformers for Efficient Natural Language Processing


May 28, 2020
Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han

* Accepted to ACL 2020. 14 pages, 12 figures. Code available at http://github.com/mit-han-lab/hardware-aware-transformers.git 

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Deep Leakage from Gradients


Jun 21, 2019
Ligeng Zhu, Zhijian Liu, Song Han


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Design Automation for Efficient Deep Learning Computing


Apr 24, 2019
Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin


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ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware


Dec 02, 2018
Han Cai, Ligeng Zhu, Song Han

* Submitted to ICLR 2019 

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