Huizi Mao - RankMe

31 papers A* 4A 3Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery. CoRR Meng Xin, Sweta Priyadarshi, Jingyu Xin, Bilal Kartal, Aditya Vavre, Asma Kuriparambil Thekkumpate, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Ido Shahaf, Akhiad Bercovich, Kinjal Patel, Suguna Varshini Velury, Chenjie Luo, Zhiyu Cheng, Jenny Chen, Chen-Han Yu, Wei Ping, Oleg Rybakov, Nima Tajbakhsh, Oluwatobi Olabiyi, Dusan Stosic, Di Wu, Song Han, Eric Chung, Sharath Turuvekere Sreenivas, Bryan Catanzaro, Yoshi Suhara, Tijmen Blankevoort, Huizi Mao
2025	J	`jnl`	BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding. CoRR Jiayi Yuan, Cameron Shinn, Kai Xu, Jingze Cui, George Klimiashvili, Guangxuan Xiao, Perkz Zheng, Bo Li, Yuxin Zhou, Zhouhai Ye, Weijie You, Tian Zheng, Dominic Brown, Pengbo Wang, Richard Cai, Julien Demouth, John D. Owens, Xia Hu, Song Han, Timmy Liu, Huizi Mao
2025	J	`jnl`	Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch. CoRR Ziyang Zhang, Xinheng Ding, Jiayi Yuan, Rixin Liu, Huizi Mao, Jiarong Xing, Zirui Liu
2025	J	`jnl`	QeRL: Beyond Efficiency - Quantization-enhanced Reinforcement Learning for LLMs. CoRR 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
2023	A*	`conf`	BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. ICRA Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L. Rus, Song Han
2023	J	`jnl`	Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network. CoRR Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally
2023	J	`jnl`	VILA: On Pre-training for Visual Language Models. CoRR Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han
2022	J	`jnl`	BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. CoRR Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han
2021	J	`jnl`	PatchNet - Short-range Template Matching for Efficient Video Processing. CoRR Huizi Mao, Sibo Zhu, Song Han, William J. Dally
2019	A*	`conf`	A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. ICCV Huizi Mao, Xiaodong Yang, Bill Dally
2019	J	`jnl`	A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. CoRR Huizi Mao, Xiaodong Yang, William J. Dally
2019	—	`conf`	CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. SysML Huizi Mao, Taeyoung Kong, Bill Dally
2018	J	`jnl`	CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. CoRR Huizi Mao, Taeyoung Kong, William J. Dally
2018	—	`conf`	Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. ICLR (Poster) Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally
2018	A	`conf`	Real-time object detection towards high power efficiency. DATE Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang
2018	J	`jnl`	Towards Real-Time Object Detection on Embedded Systems. IEEE Trans. Emerg. Top. Comput. Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Jun Yao, Yu Wang
2017	—	`conf`	DSD: Dense-Sparse-Dense Training for Deep Neural Networks. ICLR (Poster) 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
2017	J	`jnl`	Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. CoRR Yujun Lin, Song Han, Huizi Mao, Yu Wang, William J. Dally
2017	A	`conf`	ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA. 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
2017	—	`conf`	Efficient Sparse-Winograd Convolutional Neural Networks. ICLR (Workshop) Xingyu Liu, Song Han, Huizi Mao, William J. Dally
2017	—	`conf`	Exploring the Granularity of Sparsity in Convolutional Neural Networks. CVPR Workshops Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
2017	J	`jnl`	Exploring the Regularity of Sparse Structure in Convolutional Neural Networks. CoRR Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
2017	—	`conf`	Trained Ternary Quantization. ICLR (Poster) Chenzhuo Zhu, Song Han, Huizi Mao, William J. Dally
2016	J	`jnl`	DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow. CoRR Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Shijian Tang, Erich Elsen, Bryan Catanzaro, John Tran, William J. Dally
2016	A*	`conf`	Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding. ICLR Song Han, Huizi Mao, William J. Dally
2016	—	`conf`	Deep compression and EIE: Efficient inference engine on compressed deep neural network. Hot Chips Symposium Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, Bill Dally
2016	A*	`conf`	EIE: Efficient Inference Engine on Compressed Deep Neural Network. ISCA Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally
2016	J	`jnl`	EIE: Efficient Inference Engine on Compressed Deep Neural Network. CoRR Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally
2016	J	`jnl`	ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA. CoRR 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
2016	J	`jnl`	Trained Ternary Quantization. CoRR Chenzhuo Zhu, Song Han, Huizi Mao, William J. Dally
2015	A	`conf`	Rebooting Computing and Low-Power Image Recognition Challenge. ICCAD 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