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Author

Huizi Mao

Observed name: Mao, Huizi
ORCID: 0009-0009-7900-0970
Observed ORCID: 0009-0009-7900-0970
OpenAlex ID: A5103132000
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
2015 · Han, Song, Mao, Huizi, et al. · arXiv (Cornell University) · 3,466
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EIE
2016 · Song Han, Xingyu Liu, et al. · ACM SIGARCH Computer Architecture News · 1,934
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
2023 · Zhijian Liu, Haotian Tang, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 1,211
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EIE: Efficient Inference Engine on Compressed Deep Neural Network
2016 · Song Han, Xingyu Liu, et al. · ACM/IEEE International Symposium on Computer Architecture (ISCA) · 1,048
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Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
2017 · Lin, Yujun, Han, Song, et al. · arXiv (Cornell University) · 955
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Trained Ternary Quantization
2016 · Zhu, Chenzhuo, Han, Song, et al. · arXiv (Cornell University) · 743
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ESE
2017 · Song Han, Junlong Kang, et al. · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · 590
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
2017 · Mao, Huizi, Han, Song, et al. · arXiv (Cornell University) · 208
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Exploring the Granularity of Sparsity in Convolutional Neural Networks
2017 · Huizi Mao, Song Han, et al. · IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 198
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
2016 · Han, Song, Pool, Jeff, et al. · arXiv (Cornell University) · 146
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Towards Real-Time Object Detection on Embedded Systems
2016 · Huizi Mao, Song Yao, et al. · IEEE Transactions on Emerging Topics in Computing · 94
DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow.
2016 · Song Han, Jeff Pool, et al. · arXiv (Cornell University) · 63
ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA
2016 · Han, Song, Kang, Junlong, et al. · arXiv (Cornell University) · 61
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A Delay Metric for Video Object Detection: What Average Precision Fails to Tell
2019 · Huizi Mao, Xiaodong Yang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 48
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Deep compression and EIE: Efficient inference engine on compressed deep neural network
2016 · Song Han, Xingyu Liu, et al. · IEEE Hot Chips Symposium · 41
ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA
2016 · Song Han, Junlong Kang, et al. · arXiv (Cornell University) · 36
A Deep Neural Network Compression Pipeline: Pruning, Quantization, Huffman Encoding
2015 · Song Han, Huizi Mao, et al. · arXiv (Cornell University) · 33
Real-time object detection towards high power efficiency
2018 · Jincheng Yu, Kaiyuan Guo, et al. · Design, Automation, and Test in Europe · 27
Rebooting Computing and Low-Power Image Recognition Challenge
2015 · Yung-Hsiang Lu, Alan M. Kadin, et al. · 17
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CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video
2018 · Mao, Huizi, Kong, Taeyoung, et al. · arXiv (Cornell University) · 14
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CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video
2019 · Huizi Mao, Taeyoung Kong, et al. · Proceedings of Machine Learning and Systems · 3
PatchNet -- Short-range Template Matching for Efficient Video Processing
2021 · Mao, Huizi, Zhu, Sibo, et al. · arXiv (Cornell University) · 2
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NVIDIA Nemotron 3: Efficient and Open Intelligence
2025 · NVIDIA, :, et al. · arXiv (Cornell University) · 1
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Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network
2023 · Han, Song, Liu, Xingyu, et al. · arXiv (Cornell University) · 1
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LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation
2026 · Chen, Yukang, Wang, Luozhou, et al. · arXiv (Cornell University)
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Works count: 29
Citation count: 10,940
H-index: 18
I10-index: 20
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