Haikuo Shao - RankMe

20 papers A 1C 3Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang
2025	J	`jnl`	APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration. CoRR Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang
2025	J	`jnl`	ASTRA: Reconfigurable Training Architecture Design for Nonlinear Softmax and Activation Functions in Transformers. IEEE Trans. Very Large Scale Integr. Syst. Haikuo Shao, Zhongfeng Wang
2025	J	`jnl`	AccLLM: Accelerating Long-Context LLM Inference Via Algorithm-Hardware Co-Design. CoRR Yanbiao Liang, Huihong Shi, Haikuo Shao, Zhongfeng Wang
2025	J	`jnl`	An Efficient Layer Normalization Training Module With Dynamic Quantization for Transformers. IEEE Trans. Circuits Syst. II Express Briefs Haikuo Shao, Aotao Wang, Zhongfeng Wang
2025	C	`conf`	An Efficient Training Architecture for Nonlinear Softmax Function in Transformers. ISCAS Haikuo Shao, Zhongfeng Wang
2025	—	`conf`	Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores. ASP-DAC Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang
2025	—	`conf`	FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization. ISVLSI Aotao Wang, Haikuo Shao, Shaobo Ma, Zhongfeng Wang
2025	J	`jnl`	FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization. CoRR Aotao Wang, Haikuo Shao, Shaobo Ma, Zhongfeng Wang
2025	J	`jnl`	Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer. IEEE Trans. Circuits Syst. I Regul. Pap. Huihong Shi, Haikuo Shao, Wendong Mao, Zhongfeng Wang
2024	C	`conf`	A Flexible FPGA-Based Accelerator for Efficient Inference of Multi-Precision CNNs. ISCAS Xinyan Liu, Xiao Wu, Haikuo Shao, Zhongfeng Wang
2024	J	`jnl`	A Low Complexity Online Learning Approximate Message Passing Detector for Massive MIMO. IEEE Trans. Very Large Scale Integr. Syst. Baoling Hong, Haikuo Shao, Zhongfeng Wang
2024	C	`conf`	An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT. ISCAS Haikuo Shao, Huihong Shi, Wendong Mao, Zhongfeng Wang
2024	J	`jnl`	An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT. CoRR Haikuo Shao, Huihong Shi, Wendong Mao, Zhongfeng Wang
2024	A	`conf`	Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment. ICCAD Yuhao Ji, Chao Fang, Shaobo Ma, Haikuo Shao, Zhongfeng Wang
2024	J	`jnl`	Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment. CoRR Yuhao Ji, Chao Fang, Shaobo Ma, Haikuo Shao, Zhongfeng Wang
2024	J	`jnl`	Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores. CoRR Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang
2024	J	`jnl`	Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer. CoRR Huihong Shi, Haikuo Shao, Wendong Mao, Zhongfeng Wang
2023	J	`jnl`	An Efficient Training Accelerator for Transformers With Hardware-Algorithm Co-Optimization. IEEE Trans. Very Large Scale Integr. Syst. Haikuo Shao, Jinming Lu, Meiqi Wang, Zhongfeng Wang
2021	—	`conf`	An FPGA-Based Reconfigurable Accelerator for Low-Bit DNN Training. ISVLSI Haikuo Shao, Jinming Lu, Jun Lin, Zhongfeng Wang