Huizi Mao

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

VILA: On Pre-training for Visual Language Models.

Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han

CoRR, 2023

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

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally

CoRR, 2023

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.

Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L. Rus, Song Han

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021

PatchNet - Short-range Template Matching for Efficient Video Processing.

Huizi Mao, Sibo Zhu, Song Han, William J. Dally

CoRR, 2021

2019

CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video.

Huizi Mao, Taeyoung Kong, Bill Dally

Proceedings of Machine Learning and Systems 2019, 2019

A Delay Metric for Video Object Detection: What Average Precision Fails to Tell.

Huizi Mao, Xiaodong Yang, Bill Dally

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Towards Real-Time Object Detection on Embedded Systems.

Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Jun Yao, Yu Wang

IEEE Trans. Emerg. Top. Comput., 2018

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.

Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally

Proceedings of the 6th International Conference on Learning Representations, 2018

Real-time object detection towards high power efficiency.

Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks.

Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally

CoRR, 2017

Trained Ternary Quantization.

Chenzhuo Zhu, Song Han, Huizi Mao, William J. Dally

Proceedings of the 5th International Conference on Learning Representations, 2017

Efficient Sparse-Winograd Convolutional Neural Networks.

Xingyu Liu, Song Han, Huizi Mao, William J. Dally

Proceedings of the 5th International Conference on Learning Representations, 2017

DSD: Dense-Sparse-Dense Training for Deep Neural Networks.

Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally

Proceedings of the 5th International Conference on Learning Representations, 2017

ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA.

Song Han, Junlong Kang, Huizi Mao, Yiming Hu, Xin Li, Yubin Li, Dongliang Xie, Hong Luo, Song Yao, Yu Wang, Huazhong Yang, William (Bill) J. Dally

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

Exploring the Granularity of Sparsity in Convolutional Neural Networks.

Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally

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.

Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Shijian Tang, Erich Elsen, Bryan Catanzaro, John Tran, William J. Dally

CoRR, 2016

Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding.

Song Han, Huizi Mao, William J. Dally

Proceedings of the 4th International Conference on Learning Representations, 2016

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

Song Han, Junlong Kang, Huizi Mao, Yiming Hu, Xin Li, Yubin Li, Dongliang Xie, Hong Luo, Song Yao, Yu Wang, Huazhong Yang, William J. Dally

CoRR, 2016

EIE: Efficient Inference Engine on Compressed Deep Neural Network.

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally

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.

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, Bill Dally

Proceedings of the 2016 IEEE Hot Chips 28 Symposium (HCS), 2016

2015

Rebooting Computing and Low-Power Image Recognition Challenge.

Yung-Hsiang Lu, Alan M. Kadin, Alexander C. Berg, Thomas M. Conte, Erik P. DeBenedictis, Rachit Garg, Ganesh Gingade, Bichlien Hoang, Yongzhen Huang, Boxun Li, Jingyu Liu, Wei Liu, Huizi Mao, Junran Peng, Tianqi Tang, Elie K. Track, Jingqiu Wang, Tao Wang, Yu Wang, Jun Yao

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015