Haikuo Shao

According to our database, Haikuo Shao authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

AccLLM: Accelerating Long-Context LLM Inference via Algorithm-Hardware Co-Design.

Yanbiao Liang, Huihong Shi, Haikuo Shao, Zhongfeng Wang

IEEE Trans. Very Large Scale Integr. Syst., April, 2026

APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration.

Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2026

2025

An Efficient Layer Normalization Training Module With Dynamic Quantization for Transformers.

Haikuo Shao, Aotao Wang, Zhongfeng Wang

IEEE Trans. Circuits Syst. II Express Briefs, September, 2025

ASTRA: Reconfigurable Training Architecture Design for Nonlinear Softmax and Activation Functions in Transformers.

Haikuo Shao, Zhongfeng Wang

IEEE Trans. Very Large Scale Integr. Syst., July, 2025

Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer.

Huihong Shi, Haikuo Shao, Wendong Mao, Zhongfeng Wang

IEEE Trans. Circuits Syst. I Regul. Pap., March, 2025

FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization.

Aotao Wang, Haikuo Shao, Shaobo Ma, Zhongfeng Wang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025

An Efficient Training Architecture for Nonlinear Softmax Function in Transformers.

Haikuo Shao, Zhongfeng Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores.

Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

A Low Complexity Online Learning Approximate Message Passing Detector for Massive MIMO.

Baoling Hong, Haikuo Shao, Zhongfeng Wang

IEEE Trans. Very Large Scale Integr. Syst., July, 2024

An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT.

Haikuo Shao, Huihong Shi, Wendong Mao, Zhongfeng Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

A Flexible FPGA-Based Accelerator for Efficient Inference of Multi-Precision CNNs.

Xinyan Liu, Xiao Wu, Haikuo Shao, Zhongfeng Wang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment.

Yuhao Ji, Chao Fang, Shaobo Ma, Haikuo Shao, Zhongfeng Wang

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023

An Efficient Training Accelerator for Transformers With Hardware-Algorithm Co-Optimization.

Haikuo Shao, Jinming Lu, Meiqi Wang, Zhongfeng Wang

IEEE Trans. Very Large Scale Integr. Syst., November, 2023

2021

An FPGA-Based Reconfigurable Accelerator for Low-Bit DNN Training.

Haikuo Shao, Jinming Lu, Jun Lin, Zhongfeng Wang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021