| 2024 | DATE | A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network. | Siyu Zhang, Wendong Mao, Huihong Shi, Zhongfeng Wang |
| 2024 | ICML | 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, Yingyan Celine Lin |
| 2024 | ISCAS | An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT. | Haikuo Shao, Huihong Shi, Wendong Mao, Zhongfeng Wang |
| 2023 | HPCA | ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. | Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin |
| 2023 | HPCA | ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. | Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin |
| 2023 | ICANN | S$$^2$$R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution. | Minghao She, Wendong Mao, Huihong Shi, Zhongfeng Wang |
| 2023 | ISCA | 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, Haoran You, Huihong Shi, Yingyan (Celine) Lin |
| 2022 | ICCAD | NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. | Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin |
| 2022 | ICML | ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks. | Haoran You, Baopu Li, Huihong Shi, Yonggan Fu, Yingyan Lin |
| 2021 | IJCNN | LITNet: A Light-weight Image Transform Net for Image Style Transfer. | Huihong Shi, Wendong Mao, Zhongfeng Wang |