Passive Source Localization Using Compressive Sensing. - Hangfang Zhao; M. Jehanzeb Irshad; Huihong Shi; Wen Xu 004 (Sensors, 2019)

LITNet: A Light-weight Image Transform Net for Image Style Transfer. - Huihong Shi; Wendong Mao; Zhongfeng Wang 001 (IJCNN, 2021)

NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. - Huihong Shi; Haoran You; Yang Zhao 013; Zhongfeng Wang 001; Yingyan Lin (ICCAD, 2022)

ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. - Haoran You; Baopu Li; Huihong Shi; Yonggan Fu; Yingyan Lin (ICML, 2022)

Max-Affine Spline Insights Into Deep Network Pruning. - Haoran You; Randall Balestriero; Zhihan Lu; Yutong Kou; Huihong Shi; Shunyao Zhang; Shang Wu 003; Yingyan Lin; Richard G. Baraniuk (Trans. Mach. Learn. Res., 2022)

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. - Jyotikrishna Dass; Shang Wu 003; Huihong Shi; Chaojian Li; Zhifan Ye; Zhongfeng Wang 001; Yingyan Lin (HPCA, 2023)

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. - Haoran You; Zhanyi Sun; Huihong Shi; Zhongzhi Yu; Yang Zhao 013; Yongan Zhang; Chaojian Li; Baopu Li; Yingyan Lin (HPCA, 2023)

S$$^2$$R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. - Minghao She; Wendong Mao; Huihong Shi; Zhongfeng Wang 001 (ICANN (6), 2023)

Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction. - Sixu Li; Chaojian Li; Wenbo Zhu; Boyang Tony Yu; Yang Katie Zhao; Cheng Wan 005; Haoran You; Huihong Shi; Yingyan Celine Lin (ISCA, 2023)

ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer. - Haoran You; Huihong Shi; Yipin Guo; Yingyan Lin (NeurIPS, 2023)

S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. - Minghao She; Wendong Mao; Huihong Shi; Zhongfeng Wang 001 (CoRR, 2023)

NASA+: Neural Architecture Search and Acceleration for Multiplication-Reduced Hybrid Networks. - Huihong Shi; Haoran You; Zhongfeng Wang 001; Yingyan Lin (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Intelligent Typography: Artistic Text Style Transfer for Complex Texture and Structure. - Wendong Mao; Shuai Yang 001; Huihong Shi; Jiaying Liu 001; Zhongfeng Wang 001 (IEEE Trans. Multim., 2023)

A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network. - Siyu Zhang; Wendong Mao; Huihong Shi; Zhongfeng Wang 001 (DATE, 2024)

Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration. - Zhongzhi Yu; Zheng Wang; Yonggan Fu; Huihong Shi; Khalid Shaikh 002; Yingyan Celine Lin (ICML, 2024)

An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT. - Haikuo Shao; Huihong Shi; Wendong Mao; Zhongfeng Wang 001 (ISCAS, 2024)

ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. - Haoran You; Yipin Guo; Yichao Fu; Wei Zhou; Huihong Shi; Xiaofan Zhang 001; Souvik Kundu 009; Amir Yazdanbakhsh; Yingyan (Celine) Lin (NeurIPS, 2024)

NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models. - Yang Xu; Huihong Shi; Zhongfeng Wang (CoRR, 2024)

M2-ViT: Accelerating Hybrid Vision Transformers with Two-Level Mixed Quantization. - Yanbiao Liang; Huihong Shi; Zhongfeng Wang (CoRR, 2024)

NASA-F: FPGA-Oriented Search and Acceleration for Multiplication-Reduced Hybrid Networks. - Huihong Shi; Yang Xu; Yuefei Wang; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

P2-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer. - Huihong Shi; Xin Cheng; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2024)

NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models. - Yang Xu; Huihong Shi; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer. - Huihong Shi; Haikuo Shao; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

AccLLM: Accelerating Long-Context LLM Inference Via Algorithm-Hardware Co-Design. - Yanbiao Liang; Huihong Shi; Haikuo Shao; Zhongfeng Wang 001 (CoRR, 2025)

M2-ViT: Accelerating Hybrid Vision Transformers With Two-Level Mixed Quantization. - Yanbiao Liang; Huihong Shi; Zhongfeng Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2025)

An Energy-Efficient FPGA Accelerator for Swin Transformer. - Yuefei Wang; Wendong Mao; Huihong Shi; Jin Sha; Zhongfeng Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2025)