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 004; Wei Liu 015; et al. (ICCAD, 2015)

Deep compression and EIE: Efficient inference engine on compressed deep neural network. - Song Han 003; Xingyu Liu 001; Huizi Mao; Jing Pu; Ardavan Pedram; Mark Horowitz; Bill Dally (Hot Chips Symposium, 2016)

EIE: Efficient Inference Engine on Compressed Deep Neural Network. - Song Han 003; Xingyu Liu 001; Huizi Mao; Jing Pu; Ardavan Pedram; Mark A. Horowitz; William J. Dally (ISCA, 2016)

ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA. - Song Han 003; Junlong Kang; Huizi Mao; Yiming Hu; Xin Li 001; Yubin Li; Dongliang Xie; Hong Luo; Song Yao; Yu Wang 002; Huazhong Yang; William J. Dally (CoRR, 2016)

Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding. - Song Han 003; Huizi Mao; William J. Dally (ICLR, 2016)

DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow. - Song Han 003; Jeff Pool; Sharan Narang; Huizi Mao; Shijian Tang; Erich Elsen; Bryan Catanzaro; John Tran; William J. Dally (CoRR, 2016)

Exploring the Granularity of Sparsity in Convolutional Neural Networks. - Huizi Mao; Song Han 003; Jeff Pool; Wenshuo Li; Xingyu Liu 001; Yu Wang 002; William J. Dally (CVPR Workshops, 2017)

ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA. - Song Han 003; Junlong Kang; Huizi Mao; Yiming Hu; Xin Li 001; Yubin Li; Dongliang Xie; Hong Luo; Song Yao; Yu Wang 002; Huazhong Yang; William (Bill) J. Dally (FPGA, 2017)

DSD: Dense-Sparse-Dense Training for Deep Neural Networks. - Song Han 003; Jeff Pool; Sharan Narang; Huizi Mao; Enhao Gong; Shijian Tang; Erich Elsen; Peter Vajda; Manohar Paluri; John Tran; Bryan Catanzaro; William J. Dally (ICLR (Poster), 2017)

Efficient Sparse-Winograd Convolutional Neural Networks. - Xingyu Liu 001; Song Han 003; Huizi Mao; William J. Dally (ICLR (Workshop), 2017)

Trained Ternary Quantization. - Chenzhuo Zhu; Song Han 003; Huizi Mao; William J. Dally (ICLR (Poster), 2017)

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks. - Huizi Mao; Song Han 003; Jeff Pool; Wenshuo Li; Xingyu Liu 001; Yu Wang 002; William J. Dally (CoRR, 2017)

Real-time object detection towards high power efficiency. - Jincheng Yu; Kaiyuan Guo; Yiming Hu; Xuefei Ning; Jiantao Qiu; Huizi Mao; Song Yao; Tianqi Tang 001; Boxun Li; Yu Wang 002; Huazhong Yang (DATE, 2018)

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. - Yujun Lin 001; Song Han 003; Huizi Mao; Yu Wang 002; Bill Dally (ICLR (Poster), 2018)

Towards Real-Time Object Detection on Embedded Systems. - Huizi Mao; Song Yao; Tianqi Tang 001; Boxun Li; Jun Yao; Yu Wang 002 (IEEE Trans. Emerg. Top. Comput., 2018)

A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. - Huizi Mao; Xiaodong Yang; Bill Dally (ICCV, 2019)

CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. - Huizi Mao; Taeyoung Kong; Bill Dally (SysML, 2019)

PatchNet - Short-range Template Matching for Efficient Video Processing. - Huizi Mao; Sibo Zhu; Song Han 003; William J. Dally (CoRR, 2021)

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. - Zhijian Liu; Haotian Tang; Alexander Amini; Xinyu Yang 002; Huizi Mao; Daniela L. Rus; Song Han 003 (ICRA, 2023)

Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network. - Song Han 003; Xingyu Liu 001; Huizi Mao; Jing Pu; Ardavan Pedram; Mark A. Horowitz; William J. Dally (CoRR, 2023)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Yao Lu 006; Pavlo Molchanov 001; Andrew Tao; Huizi Mao; Jan Kautz; Mohammad Shoeybi; Song Han 003 (CoRR, 2023)