Huizi Mao

According to our database1, Huizi Mao authored at least 21 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
VILA: On Pre-training for Visual Language Models.
CoRR, 2023

Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network.
CoRR, 2023

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021
PatchNet - Short-range Template Matching for Efficient Video Processing.
CoRR, 2021

2019
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

A Delay Metric for Video Object Detection: What Average Precision Fails to Tell.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Towards Real-Time Object Detection on Embedded Systems.
IEEE Trans. Emerg. Top. Comput., 2018

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.
Proceedings of the 6th International Conference on Learning Representations, 2018

Real-time object detection towards high power efficiency.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks.
CoRR, 2017

Trained Ternary Quantization.
Proceedings of the 5th International Conference on Learning Representations, 2017

Efficient Sparse-Winograd Convolutional Neural Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

DSD: Dense-Sparse-Dense Training for Deep Neural Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA.
Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

Exploring the Granularity of Sparsity in Convolutional Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow.
CoRR, 2016

Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding.
Proceedings of the 4th International Conference on Learning Representations, 2016

ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA.
CoRR, 2016

EIE: Efficient Inference Engine on Compressed Deep Neural Network.
Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Deep compression and EIE: Efficient inference engine on compressed deep neural network.
Proceedings of the 2016 IEEE Hot Chips 28 Symposium (HCS), 2016

2015
Rebooting Computing and Low-Power Image Recognition Challenge.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015


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