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ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition


Nov 30, 2020
Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen


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NASGEM: Neural Architecture Search via Graph Embedding Method


Jul 08, 2020
Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen


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Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices


Mar 04, 2020
Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh

* Published as a conference paper at MLSys 2020 (Oral Presentation) 

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AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture


Nov 21, 2019
Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Li, Yiran Chen


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SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures


Jun 25, 2019
Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Li, Yiran Chen


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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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Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack


Dec 06, 2018
Jingyang Zhang, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen


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LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning


Nov 27, 2018
Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen


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Differentiable Fine-grained Quantization for Deep Neural Network Compression


Oct 20, 2018
Hsin-Pai Cheng, Yuanjun Huang, Xuyang Guo, Yifei Huang, Feng Yan, Hai Li, Yiran Chen


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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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MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks


May 11, 2018
Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li, Yiran Chen

* 6 pages, 4 figures, 2 tables 

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