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Journal Articles
- 2018
[j1]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): 86-100 (2018)
Conference and Workshop Papers
- 2024
- [c7]Wenhua Cheng, Weiwei Zhang, Haihao Shen, Yiyang Cai, Xin He, Kaokao Lv, Yi Liu:
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs. EMNLP (Findings) 2024: 11332-11350 - [c6]Haihao Shen, Naveen Mellempudi, Xin He, Qun Gao, Chang Wang, Mengni Wang:
Efficient Post-training Quantization with FP8 Formats. MLSys 2024 - 2018
- [c5]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: 2 - 2012
- [c4]Jiong Gong, Yun Wang, Haihao Shen, Xu Deng, Wei Wang, Xiangning Ma:
FAST: Formal specification driven test harness generation. MEMOCODE 2012: 33-42 - 2011
- [c3]Haihao Shen, Jianhong Fang, Jianjun Zhao:
EFindBugs: Effective Error Ranking for FindBugs. ICST 2011: 299-308 - 2008
- [c2]Haihao Shen, Sai Zhang, Jianjun Zhao, Jianhong Fang, Shiyuan Yao:
XFindBugs: eXtended FindBugs for AspectJ. PASTE 2008: 70-76 - [c1]Haihao Shen, Sai Zhang, Jianjun Zhao:
An Empirical Study of Maintainability in Aspect-Oriented System Evolution Using Coupling Metrics. TASE 2008: 233-236
Informal and Other Publications
- 2023
- [i10]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 abs/2306.16601 (2023) - [i9]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 abs/2309.05516 (2023) - [i8]Haihao Shen, Naveen Mellempudi, Xin He, Qun Gao, Chang Wang, Mengni Wang:
Efficient Post-training Quantization with FP8 Formats. CoRR abs/2309.14592 (2023) - [i7]Wenhua Cheng, Yiyang Cai, Kaokao Lv, Haihao Shen:
TEQ: Trainable Equivalent Transformation for Quantization of LLMs. CoRR abs/2310.10944 (2023) - [i6]Haihao Shen, Hanwen Chang, Bo Dong, Yu Luo, Hengyu Meng:
Efficient LLM Inference on CPUs. CoRR abs/2311.00502 (2023) - [i5]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 abs/2311.16133 (2023) - 2022
- [i4]Shira Guskin, Moshe Wasserblat, Chang Wang, Haihao Shen:
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM. CoRR abs/2210.17114 (2022) - [i3]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 abs/2211.07715 (2022) - 2021
- [i2]Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat:
Prune Once for All: Sparse Pre-Trained Language Models. CoRR abs/2111.05754 (2021) - 2018
- [i1]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 abs/1805.08691 (2018)
Coauthor Index
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