XFindBugs: eXtended FindBugs for AspectJ. - Haihao Shen; Sai Zhang 001; Jianjun Zhao 001; Jianhong Fang; Shiyuan Yao (PASTE, 2008)

An Empirical Study of Maintainability in Aspect-Oriented System Evolution Using Coupling Metrics. - Haihao Shen; Sai Zhang 001; Jianjun Zhao 001 (TASE, 2008)

EFindBugs: Effective Error Ranking for FindBugs. - Haihao Shen; Jianhong Fang; Jianjun Zhao 001 (ICST, 2011)

FAST: Formal specification driven test harness generation. - Jiong Gong; Yun Wang; Haihao Shen; Xu Deng; Wei Wang; Xiangning Ma (MEMOCODE, 2012)

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 (ReQuEST@ASPLOS, 2018)

Tuning parallel symbolic execution engine for better performance. - Anil Kumar Karna; Jinbo Du; Haihao Shen; Hao Zhong 001; Jiong Gong; Haibo Yu 001; Xiangning Ma; Jianjun Zhao 001 (Frontiers Comput. Sci., 2018)

Prune Once for All: Sparse Pre-Trained Language Models. - Ofir Zafrir; Ariel Larey; Guy Boudoukh; Haihao Shen; Moshe Wasserblat (CoRR, 2021)

QuaLA-MiniLM: a Quantized Length Adaptive MiniLM. - Shira Guskin; Moshe Wasserblat; Chang Wang; Haihao Shen (CoRR, 2022)

Fast DistilBERT on CPUs. - Haihao Shen; Ofir Zafrir; Bo Dong 001; Hengyu Meng; Xinyu Ye; Zhe Wang 027; Yi Ding; Hanwen Chang; Guy Boudoukh; Moshe Wasserblat (CoRR, 2022)

An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs. - Haihao Shen; Hengyu Meng; Bo Dong 001; Zhe Wang 027; Ofir Zafrir; Yi Ding; Yu Luo; Hanwen Chang; Qun Gao; Ziheng Wang; Guy Boudoukh; Moshe Wasserblat (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)

TEQ: Trainable Equivalent Transformation for Quantization of LLMs. - Wenhua Cheng; Yiyang Cai; Kaokao Lv; Haihao Shen (CoRR, 2023)

Efficient LLM Inference on CPUs. - Haihao Shen; Hanwen Chang; Bo Dong; Yu Luo; Hengyu Meng (CoRR, 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)

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 (EMNLP (Findings), 2024)

Efficient Post-training Quantization with FP8 Formats. - Haihao Shen; Naveen Mellempudi; Xin He; Qun Gao; Chang Wang; Mengni Wang (MLSys, 2024)

Faster Inference of LLMs using FP8 on the Intel Gaudi. - Joonhyung Lee; Shmulik Markovich-Golan; Daniel Ohayon; Yair Hanani; Gunho Park; Byeongwook Kim; Asaf Karnieli; Uri Livne; Haihao Shen; Tai Huang; Se Jung Kwon; Dongsoo Lee (CoRR, 2025)