Huihong Shi

38 papers A* 7A 2B 1C 1Journal 26Unranked 1
YearRankTypeTitle / Venue / Authors
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 Energy-Efficient FPGA Accelerator for Swin Transformer.
IEEE Trans. Very Large Scale Integr. Syst.
Yuefei Wang, Wendong Mao, Huihong Shi, Jin Sha, Zhongfeng Wang
2025 J jnl
M
IEEE Trans. Very Large Scale Integr. Syst.
Yanbiao Liang, Huihong Shi, 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 A conf
A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network.
DATE
Siyu Zhang, Wendong Mao, Huihong Shi, 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 J jnl
M
CoRR
Yanbiao Liang, Huihong Shi, Zhongfeng Wang
2024 J jnl
NASA-F: FPGA-Oriented Search and Acceleration for Multiplication-Reduced Hybrid Networks.
IEEE Trans. Circuits Syst. I Regul. Pap.
Huihong Shi, Yang Xu, Yuefei Wang, Wendong Mao, Zhongfeng Wang
2024 J jnl
NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models.
CoRR
Yang Xu, Huihong Shi, Zhongfeng Wang
2024 J jnl
NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models.
IEEE Trans. Circuits Syst. I Regul. Pap.
Yang Xu, Huihong Shi, Zhongfeng Wang
2024 J jnl
P
CoRR
Huihong Shi, Xin Cheng, Wendong Mao, Zhongfeng Wang
2024 J jnl
P
IEEE Trans. Very Large Scale Integr. Syst.
Huihong Shi, Xin Cheng, Wendong Mao, Zhongfeng Wang
2024 A* conf
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization.
NeurIPS
Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan (Celine) Lin
2024 J jnl
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization.
CoRR
Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan Lin
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
2024 A* conf
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration.
ICML
Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin
2024 J jnl
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration.
CoRR
Zhongzhi Yu, Zheng Wang, Yonggan Fu, Huihong Shi, Khalid Shaikh, Yingyan Celine Lin
2023 J jnl
A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network.
CoRR
Siyu Zhang, Wendong Mao, Huihong Shi, Zhongfeng Wang
2023 A* conf
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.
ISCA
Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan (Celine) Lin
2023 J jnl
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.
CoRR
Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan Lin
2023 J jnl
Intelligent Typography: Artistic Text Style Transfer for Complex Texture and Structure.
IEEE Trans. Multim.
Wendong Mao, Shuai Yang, Huihong Shi, Jiaying Liu, Zhongfeng Wang
2023 J jnl
NASA+: Neural Architecture Search and Acceleration for Multiplication-Reduced Hybrid Networks.
IEEE Trans. Circuits Syst. I Regul. Pap.
Huihong Shi, Haoran You, Zhongfeng Wang, Yingyan Lin
2023 — conf
S$$^2$$R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution.
ICANN (6)
Minghao She, Wendong Mao, Huihong Shi, Zhongfeng Wang
2023 J jnl
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution.
CoRR
Minghao She, Wendong Mao, Huihong Shi, Zhongfeng Wang
2023 A* conf
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer.
NeurIPS
Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin
2023 J jnl
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer.
CoRR
Haoran You, Huihong Shi, Yipin Guo, Yingyan Lin
2023 A* conf
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.
HPCA
Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin
2023 A* conf
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design.
HPCA
Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin
2022 J jnl
Max-Affine Spline Insights Into Deep Network Pruning.
Trans. Mach. Learn. Res.
Haoran You, Randall Balestriero, Zhihan Lu, Yutong Kou, Huihong Shi, Shunyao Zhang, Shang Wu, Yingyan Lin, Richard G. Baraniuk
2022 A conf
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks.
ICCAD
Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin
2022 J jnl
NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks.
CoRR
Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin
2022 A* conf
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks.
ICML
Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin
2022 J jnl
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks.
CoRR
Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin
2022 J jnl
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention.
CoRR
Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin
2022 J jnl
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design.
CoRR
Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin
2021 B conf
LITNet: A Light-weight Image Transform Net for Image Style Transfer.
IJCNN
Huihong Shi, Wendong Mao, Zhongfeng Wang
2019 J jnl
Passive Source Localization Using Compressive Sensing.
Sensors
Hangfang Zhao, M. Jehanzeb Irshad, Huihong Shi, Wen Xu