Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing.
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MIT, NVIDIA
- songhan.mit.edu
- @songhan_mit
- in/songhanmit
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mit-han-lab/proxylessnas
mit-han-lab/proxylessnas Public[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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mit-han-lab/temporal-shift-module
mit-han-lab/temporal-shift-module Public[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
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mit-han-lab/once-for-all
mit-han-lab/once-for-all Public[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
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mit-han-lab/pvcnn
mit-han-lab/pvcnn Public archive[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
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mit-han-lab/gan-compression
mit-han-lab/gan-compression Public[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
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