Haihao Shen

According to our database, Haihao Shen authored at least 16 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Post-training Quantization with FP8 Formats.

Haihao Shen, Naveen Mellempudi, Xin He, Qun Gao, Chang Wang, Mengni Wang

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs.

Wenhua Cheng, Weiwei Zhang, Haihao Shen, Yiyang Cai, Xin He, Kaokao Lv, Yi Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Effective Quantization for Diffusion Models on CPUs.

Hanwen Chang, Haihao Shen, Yiyang Cai, Xinyu Ye, Zhenzhong Xu, Wenhua Cheng, Kaokao Lv, Weiwei Zhang, Yintong Lu, Heng Guo

CoRR, 2023

Efficient LLM Inference on CPUs.

Haihao Shen, Hanwen Chang, Bo Dong, Yu Luo, Hengyu Meng

CoRR, 2023

TEQ: Trainable Equivalent Transformation for Quantization of LLMs.

Wenhua Cheng, Yiyang Cai, Kaokao Lv, Haihao Shen

CoRR, 2023

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs.

Wenhua Cheng, Weiwei Zhang, Haihao Shen, Yiyang Cai, Xin He, Kaokao Lv

CoRR, 2023

An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs.

Haihao Shen, Hengyu Meng, Bo Dong, Zhe Wang, Ofir Zafrir, Yi Ding, Yu Luo, Hanwen Chang, Qun Gao, Ziheng Wang, Guy Boudoukh, Moshe Wasserblat

CoRR, 2023

2022

Fast DistilBERT on CPUs.

Haihao Shen, Ofir Zafrir, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, Moshe Wasserblat

CoRR, 2022

QuaLA-MiniLM: a Quantized Length Adaptive MiniLM.

Shira Guskin, Moshe Wasserblat, Chang Wang, Haihao Shen

CoRR, 2022

2021

Prune Once for All: Sparse Pre-Trained Language Models.

Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat

CoRR, 2021

2018

Tuning parallel symbolic execution engine for better performance.

Anil Kumar Karna, Jinbo Du, Haihao Shen, Hao Zhong, Jiong Gong, Haibo Yu, Xiangning Ma, Jianjun Zhao

Frontiers Comput. Sci., 2018

Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe.

Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari, Evarist Fomenko, Eden Segal

Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning, 2018

2012

FAST: Formal specification driven test harness generation.

Jiong Gong, Yun Wang, Haihao Shen, Xu Deng, Wei Wang, Xiangning Ma

Proceedings of the Tenth ACM/IEEE International Conference on Formal Methods and Models for Codesign, 2012

2011

EFindBugs: Effective Error Ranking for FindBugs.

Haihao Shen, Jianhong Fang, Jianjun Zhao

Proceedings of the Fourth IEEE International Conference on Software Testing, 2011

2008

An Empirical Study of Maintainability in Aspect-Oriented System Evolution Using Coupling Metrics.

Haihao Shen, Sai Zhang, Jianjun Zhao

Proceedings of the Second IEEE/IFIP International Symposium on Theoretical Aspects of Software Engineering, 2008

XFindBugs: eXtended FindBugs for AspectJ.

Haihao Shen, Sai Zhang, Jianjun Zhao, Jianhong Fang, Shiyuan Yao

Proceedings of the 8th ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering, 2008