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RoQNN: Noise-Aware Training for Robust Quantum Neural Networks


Oct 21, 2021
Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han

* 19 pages, 10 figures, open-source at https://github.com/mit-han-lab/pytorch-quantum 

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QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits


Aug 02, 2021
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han

* 14 pages, 22 figures. Code available at https://github.com/mit-han-lab/pytorch-quantum 

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SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning


Jan 04, 2021
Hanrui Wang, Zhekai Zhang, Song Han

* Published as a conference paper in HPCA 2021; 15 pages, 23 figures 

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Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution


Aug 13, 2020
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han

* ECCV 2020. The first two authors contributed equally to this work. Project page: http://spvnas.mit.edu/ 

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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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MicroNet for Efficient Language Modeling


May 16, 2020
Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han

* Accepted by PMLR 

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GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning


Apr 30, 2020
Hanrui Wang, Kuan Wang, Jiacheng Yang, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han

* Accepted to the 57th Design Automation Conference (DAC 2020); 6 pages, 8 figures 

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Learning to Design Circuits


Jan 17, 2019
Hanrui Wang, Jiacheng Yang, Hae-Seung Lee, Song Han

* The first two authors contributed equally to this work 

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AMC: AutoML for Model Compression and Acceleration on Mobile Devices


Aug 26, 2018
Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han


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