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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

* ICRA 2021. The first two authors contributed equally to this work. Project page: https://le2ed.mit.edu/ 

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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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Hardware-Centric AutoML for Mixed-Precision Quantization


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

* 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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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

* 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

* 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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Lite Transformer with Long-Short Range Attention


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

* 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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Point-Voxel CNN for Efficient 3D Deep Learning


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

* 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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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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Unsupervised Discovery of Parts, Structure, and Dynamics


Mar 12, 2019
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

* ICLR 2019. The first two authors contributed equally to this work 

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HAQ: Hardware-Aware Automated Quantization


Dec 06, 2018
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han

* The first three authors contributed equally to this work. Project page: https://hanlab.mit.edu/projects/haq/ 

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Physical Primitive Decomposition


Sep 13, 2018
Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

* ECCV 2018. Project page: http://ppd.csail.mit.edu/ 

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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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Machine Learning for Building Energy and Indoor Environment: A Perspective


Dec 31, 2017
Zhijian Liu, Di Wu, Hongyu Wei, Guoqing Cao

* Submitted to a Interdisciplinary Journal 

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Performance Prediction and Optimization of Solar Water Heater via a Knowledge-Based Machine Learning Method


Oct 06, 2017
Hao Li, Zhijian Liu

* 20 pages 

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