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Huizi Mao
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2020 – today
- 2023
- [c14]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: 2774-2781 - [i12]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 abs/2306.09552 (2023) - [i11]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 abs/2312.07533 (2023) - 2022
- [i10]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 abs/2205.13542 (2022) - 2021
- [i9]Huizi Mao, Sibo Zhu, Song Han, William J. Dally:
PatchNet - Short-range Template Matching for Efficient Video Processing. CoRR abs/2103.07371 (2021)
2010 – 2019
- 2019
- [c13]Huizi Mao, Xiaodong Yang, Bill Dally:
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. ICCV 2019: 573-582 - [c12]Huizi Mao, Taeyoung Kong, Bill Dally:
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. SysML 2019 - [i8]Huizi Mao, Xiaodong Yang, William J. Dally:
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. CoRR abs/1908.06368 (2019) - 2018
- [j1]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): 417-431 (2018) - [c11]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: 704-708 - [c10]Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally:
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. ICLR (Poster) 2018 - [i7]Huizi Mao, Taeyoung Kong, William J. Dally:
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. CoRR abs/1810.00434 (2018) - 2017
- [c9]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: 1927-1934 - [c8]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: 75-84 - [c7]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 - [c6]Xingyu Liu, Song Han, Huizi Mao, William J. Dally:
Efficient Sparse-Winograd Convolutional Neural Networks. ICLR (Workshop) 2017 - [c5]Chenzhuo Zhu, Song Han, Huizi Mao, William J. Dally:
Trained Ternary Quantization. ICLR (Poster) 2017 - [i6]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 abs/1705.08922 (2017) - [i5]Yujun Lin
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. CoRR abs/1712.01887 (2017) - 2016
- [c4]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: 1-6 - [c3]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: 243-254 - [c2]Song Han, Huizi Mao, William J. Dally:
Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding. ICLR 2016 - [i4]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 abs/1602.01528 (2016) - [i3]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 abs/1607.04381 (2016) - [i2]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 abs/1612.00694 (2016) - [i1]Chenzhuo Zhu, Song Han, Huizi Mao, William J. Dally:
Trained Ternary Quantization. CoRR abs/1612.01064 (2016) - 2015
- [c1]Yung-Hsiang Lu, Alan M. Kadin, Alexander C. Berg, Thomas M. Conte
Rebooting Computing and Low-Power Image Recognition Challenge. ICCAD 2015: 927-932
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