Mao, Huizi

8 publications

ICLR 2026 QeRL: Beyond Efficiency - Quantization-Enhanced Reinforcement Learning for LLMs Wei Huang, Yi Ge, Shuai Yang, Yicheng Xiao, Huizi Mao, Yujun Lin, Hanrong Ye, Sifei Liu, Ka Chun Cheung, Hongxu Yin, Yao Lu, Xiaojuan Qi, Song Han, Yukang Chen

ICCV 2019 A Delay Metric for Video Object Detection: What Average Precision Fails to Tell Huizi Mao, Xiaodong Yang, William J. Dally

ICLR 2018 Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally

ICLR 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

ICLR 2017 Efficient Sparse-Winograd Convolutional Neural Networks Xingyu Liu, Song Han, Huizi Mao, William J. Dally

CVPRW 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

ICLR 2017 Trained Ternary Quantization Chenzhuo Zhu, Song Han, Huizi Mao, William J. Dally

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