Huizi Mao

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 26

Top Topics

Average Precision

Speech Recognition

Efficient Inference

Top Venues

Publications

Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L. Rus, Song Han
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. ICRA (2023)
Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han
VILA: On Pre-training for Visual Language Models. CoRR (2023)
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally
Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network. CoRR (2023)
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. CoRR (2022)
Huizi Mao, Sibo Zhu, Song Han, William J. Dally
PatchNet - Short-range Template Matching for Efficient Video Processing. CoRR (2021)
Huizi Mao, Xiaodong Yang, Bill Dally
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. ICCV (2019)
Huizi Mao, Taeyoung Kong, Bill Dally
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. MLSys (2019)
Huizi Mao, Xiaodong Yang, William J. Dally
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. CoRR (2019)
Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. ICLR (Poster) (2018)
Huizi Mao, Taeyoung Kong, William J. Dally
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. CoRR (2018)
Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang
Real-time object detection towards high power efficiency. DATE (2018)
Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Jun Yao, Yu Wang
Towards Real-Time Object Detection on Embedded Systems. IEEE Trans. Emerg. Top. Comput. 6 (3) (2018)
Chenzhuo Zhu, Song Han, Huizi Mao, William J. Dally
Trained Ternary Quantization. ICLR (Poster) (2017)
Yujun Lin, Song Han, Huizi Mao, Yu Wang, William J. Dally
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. CoRR (2017)
Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks. CoRR (2017)
Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
Exploring the Granularity of Sparsity in Convolutional Neural Networks. CVPR Workshops (2017)
Xingyu Liu, Song Han, Huizi Mao, William J. Dally
Efficient Sparse-Winograd Convolutional Neural Networks. ICLR (Workshop) (2017)
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
DSD: Dense-Sparse-Dense Training for Deep Neural Networks. ICLR (Poster) (2017)
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
ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA. FPGA (2017)
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally
EIE: Efficient Inference Engine on Compressed Deep Neural Network. CoRR (2016)
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, Bill Dally
Deep compression and EIE: Efficient inference engine on compressed deep neural network. Hot Chips Symposium (2016)
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally
EIE: Efficient Inference Engine on Compressed Deep Neural Network. ISCA (2016)
Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Shijian Tang, Erich Elsen, Bryan Catanzaro, John Tran, William J. Dally
DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow. CoRR (2016)
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
ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA. CoRR (2016)
Song Han, Huizi Mao, William J. Dally
Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding. ICLR (2016)
Chenzhuo Zhu, Song Han, Huizi Mao, William J. Dally
Trained Ternary Quantization. CoRR (2016)
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
Rebooting Computing and Low-Power Image Recognition Challenge. ICCAD (2015)