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PAN: Pulse Ansatz on NISQ Machines


Aug 02, 2022
Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian

* 13 pages, 13 figures 

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RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL


Jul 13, 2022
Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Pan, Song Han, Nan Sun


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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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On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks


Feb 26, 2022
Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han

* Published as a conference paper in DAC 2022; 7 pages, 8 figures; open-source at https://github.com/mit-han-lab/torchquantum 

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Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition


Jan 12, 2022
Hanrui Wang, Shuo Wang, Zhe Jin, Yandan Wang, Cunjian Chen, Massimo Tistarell

* ACCEPTED in IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) 

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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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