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Song Han

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits


Jul 22, 2021
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han

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* 15 pages, 23 figures. Code available at https://github.com/mit-han-lab/pytorch-quantum 
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NAAS: Neural Accelerator Architecture Search


May 27, 2021
Yujun Lin, Mengtian Yang, Song Han

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* Accepted by DAC'21 
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Efficient and Robust LiDAR-Based End-to-End Navigation


May 20, 2021
Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela Rus

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* ICRA 2021. The first two authors contributed equally to this work. Project page: https://le2ed.mit.edu/ 
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PatchNet -- Short-range Template Matching for Efficient Video Processing


Mar 10, 2021
Huizi Mao, Sibo Zhu, Song Han, William J. Dally

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Anycost GANs for Interactive Image Synthesis and Editing


Mar 04, 2021
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu

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* Accepted to CVPR 2021. The code and demo are available: https://github.com/mit-han-lab/anycost-gan 
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SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning


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

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

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* ECCV 2020. The first two authors contributed equally to this work. Project page: http://spvnas.mit.edu/ 
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Hardware-Centric AutoML for Mixed-Precision Quantization


Aug 11, 2020
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han

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* International Journal of Computer Vision (IJCV), 2020 
 * Journal preprint of arXiv:1811.08886 (IJCV, 2020). The first three authors contributed equally to this work. Project page: https://hanlab.mit.edu/projects/haq/ 
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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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MCUNet: Tiny Deep Learning on IoT Devices


Jul 20, 2020
Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han

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* Demo video available here: https://youtu.be/YvioBgtec4U 
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Differentiable Augmentation for Data-Efficient GAN Training


Jun 18, 2020
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han

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APQ: Joint Search for Network Architecture, Pruning and Quantization Policy


Jun 15, 2020
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han

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* Accepted by CVPR 2020 
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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

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* 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

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* 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

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* Accepted to the 57th Design Automation Conference (DAC 2020); 6 pages, 8 figures 
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Lite Transformer with Long-Short Range Attention


Apr 24, 2020
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han

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* ICLR 2020. The first two authors contributed equally to this work 
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GAN Compression: Efficient Architectures for Interactive Conditional GANs


Mar 19, 2020
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han

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Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos


Oct 01, 2019
Ji Lin, Chuang Gan, Song Han

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Once for All: Train One Network and Specialize it for Efficient Deployment


Aug 26, 2019
Han Cai, Chuang Gan, Song Han

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Point-Voxel CNN for Efficient 3D Deep Learning


Jul 08, 2019
Zhijian Liu, Haotian Tang, Yujun Lin, Song Han

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* The first two authors contributed equally to this work 
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Deep Leakage from Gradients


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

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SysML: The New Frontier of Machine Learning Systems


May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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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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Defensive Quantization: When Efficiency Meets Robustness


Apr 17, 2019
Ji Lin, Chuang Gan, Song Han

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Learning to Design Circuits


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

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* The first two authors contributed equally to this work 
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