Haihao Shen - RankMe

20 papers A 1C 1Misc 1Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Faster Inference of LLMs using FP8 on the Intel Gaudi. CoRR 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
2025	J	`jnl`	SignRoundV2: Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs. CoRR Wenhua Cheng, Weiwei Zhang, Heng Guo, Haihao Shen
2024	—	`conf`	Efficient Post-training Quantization with FP8 Formats. MLSys Haihao Shen, Naveen Mellempudi, Xin He, Qun Gao, Chang Wang, Mengni Wang
2024	—	`conf`	Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs. EMNLP (Findings) Wenhua Cheng, Weiwei Zhang, Haihao Shen, Yiyang Cai, Xin He, Kaokao Lv, Yi Liu
2023	J	`jnl`	An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs. CoRR Haihao Shen, Hengyu Meng, Bo Dong, Zhe Wang, Ofir Zafrir, Yi Ding, Yu Luo, Hanwen Chang, Qun Gao, Ziheng Wang, Guy Boudoukh, Moshe Wasserblat
2023	J	`jnl`	Effective Quantization for Diffusion Models on CPUs. CoRR Hanwen Chang, Haihao Shen, Yiyang Cai, Xinyu Ye, Zhenzhong Xu, Wenhua Cheng, Kaokao Lv, Weiwei Zhang, Yintong Lu, Heng Guo
2023	J	`jnl`	Efficient LLM Inference on CPUs. CoRR Haihao Shen, Hanwen Chang, Bo Dong, Yu Luo, Hengyu Meng
2023	J	`jnl`	Efficient Post-training Quantization with FP8 Formats. CoRR Haihao Shen, Naveen Mellempudi, Xin He, Qun Gao, Chang Wang, Mengni Wang
2023	J	`jnl`	Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs. CoRR Wenhua Cheng, Weiwei Zhang, Haihao Shen, Yiyang Cai, Xin He, Kaokao Lv
2023	J	`jnl`	TEQ: Trainable Equivalent Transformation for Quantization of LLMs. CoRR Wenhua Cheng, Yiyang Cai, Kaokao Lv, Haihao Shen
2022	J	`jnl`	Fast DistilBERT on CPUs. CoRR Haihao Shen, Ofir Zafrir, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, Moshe Wasserblat
2022	J	`jnl`	QuaLA-MiniLM: a Quantized Length Adaptive MiniLM. CoRR Shira Guskin, Moshe Wasserblat, Chang Wang, Haihao Shen
2021	J	`jnl`	Prune Once for All: Sparse Pre-Trained Language Models. CoRR Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat
2018	—	`conf`	Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe. ReQuEST@ASPLOS Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari, Evarist Fomenko, Eden Segal
2018	J	`jnl`	Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe. CoRR Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari, Evarist Fomenko, Eden Segal
2018	J	`jnl`	Tuning parallel symbolic execution engine for better performance. Frontiers Comput. Sci. Anil Kumar Karna, Jinbo Du, Haihao Shen, Hao Zhong, Jiong Gong, Haibo Yu, Xiangning Ma, Jianjun Zhao
2012	C	`conf`	FAST: Formal specification driven test harness generation. MEMOCODE Jiong Gong, Yun Wang, Haihao Shen, Xu Deng, Wei Wang, Xiangning Ma
2011	A	`conf`	EFindBugs: Effective Error Ranking for FindBugs. ICST Haihao Shen, Jianhong Fang, Jianjun Zhao
2008	Misc	`conf`	An Empirical Study of Maintainability in Aspect-Oriented System Evolution Using Coupling Metrics. TASE Haihao Shen, Sai Zhang, Jianjun Zhao
2008	—	`conf`	XFindBugs: eXtended FindBugs for AspectJ. PASTE Haihao Shen, Sai Zhang, Jianjun Zhao, Jianhong Fang, Shiyuan Yao