Song Han
Yanshan University(CN)
Publications by Year
Research Areas
Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Adversarial Robustness in Machine Learning, Quantum Computing Algorithms and Architecture, Quantum Information and Cryptography
Most-Cited Works
- SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size(2016)
- → Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding(2015)3,526 cited
- → EIE(2016)2,021 cited
- → TSM: Temporal Shift Module for Efficient Video Understanding(2019)1,907 cited
- → Deep Leakage from Gradients(2020)1,452 cited
- → ProxylessNAS: Direct Neural Architecture Search on Target Task and\n Hardware(2018)1,280 cited
- → AMC: AutoML for Model Compression and Acceleration on Mobile Devices(2018)1,252 cited
- → EIE: Efficient Inference Engine on Compressed Deep Neural Network(2016)960 cited
- → BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation(2023)939 cited
- → HAQ: Hardware-Aware Automated Quantization With Mixed Precision(2019)906 cited