Haihao Shen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 13

Top Topics

Quantization Noise

Fukunaga Koontz

Symbolic Execution

Top Venues

Frontiers Comput. Sci.

Publications

Haihao Shen, Naveen Mellempudi, Xin He, Qun Gao, Chang Wang, Mengni Wang
Efficient Post-training Quantization with FP8 Formats. MLSys (2024)
Hanwen Chang, Haihao Shen, Yiyang Cai, Xinyu Ye, Zhenzhong Xu, Wenhua Cheng, Kaokao Lv, Weiwei Zhang, Yintong Lu, Heng Guo
Effective Quantization for Diffusion Models on CPUs. CoRR (2023)
Wenhua Cheng, Yiyang Cai, Kaokao Lv, Haihao Shen
TEQ: Trainable Equivalent Transformation for Quantization of LLMs. CoRR (2023)
Haihao Shen, Hanwen Chang, Bo Dong, Yu Luo, Hengyu Meng
Efficient LLM Inference on CPUs. CoRR (2023)
Wenhua Cheng, Weiwei Zhang, Haihao Shen, Yiyang Cai, Xin He, Kaokao Lv
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs. CoRR (2023)
Haihao Shen, Hengyu Meng, Bo Dong, Zhe Wang, Ofir Zafrir, Yi Ding, Yu Luo, Hanwen Chang, Qun Gao, Ziheng Wang, Guy Boudoukh, Moshe Wasserblat
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs. CoRR (2023)
Haihao Shen, Naveen Mellempudi, Xin He, Qun Gao, Chang Wang, Mengni Wang
Efficient Post-training Quantization with FP8 Formats. CoRR (2023)
Shira Guskin, Moshe Wasserblat, Chang Wang, Haihao Shen
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM. CoRR (2022)
Haihao Shen, Ofir Zafrir, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, Moshe Wasserblat
Fast DistilBERT on CPUs. CoRR (2022)
Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat
Prune Once for All: Sparse Pre-Trained Language Models. CoRR (2021)
Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari, Evarist Fomenko, Eden Segal
Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe. ReQuEST@ASPLOS (2018)
Anil Kumar Karna, Jinbo Du, Haihao Shen, Hao Zhong, Jiong Gong, Haibo Yu, Xiangning Ma, Jianjun Zhao
Tuning parallel symbolic execution engine for better performance. Frontiers Comput. Sci. 12 (1) (2018)
Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari, Evarist Fomenko, Eden Segal
Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe. CoRR (2018)
Jiong Gong, Yun Wang, Haihao Shen, Xu Deng, Wei Wang, Xiangning Ma
FAST: Formal specification driven test harness generation. MEMOCODE (2012)
Haihao Shen, Jianhong Fang, Jianjun Zhao
EFindBugs: Effective Error Ranking for FindBugs. ICST (2011)
Haihao Shen, Sai Zhang, Jianjun Zhao, Jianhong Fang, Shiyuan Yao
XFindBugs: eXtended FindBugs for AspectJ. PASTE (2008)
Haihao Shen, Sai Zhang, Jianjun Zhao
An Empirical Study of Maintainability in Aspect-Oriented System Evolution Using Coupling Metrics. TASE (2008)