Huihong Shi
Orcid: 0000-0002-7845-0154
According to our database1,
Huihong Shi
authored at least 22 papers
between 2019 and 2024.
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Bibliography
2024
P<sup>2</sup>-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer.
IEEE Trans. Very Large Scale Integr. Syst., September, 2024
NASA-F: FPGA-Oriented Search and Acceleration for Multiplication-Reduced Hybrid Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., January, 2024
M<sup>2</sup>-ViT: Accelerating Hybrid Vision Transformers with Two-Level Mixed Quantization.
CoRR, 2024
NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models.
CoRR, 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization.
CoRR, 2024
Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer.
CoRR, 2024
An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
2023
Intelligent Typography: Artistic Text Style Transfer for Complex Texture and Structure.
IEEE Trans. Multim., 2023
NASA+: Neural Architecture Search and Acceleration for Multiplication-Reduced Hybrid Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2023
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution.
CoRR, 2023
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023
S$$^2$$R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023
2022
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2019