| Vitcod: Vision transformer acceleration via dedicated algorithm and accelerator co-design H You, Z Sun, H Shi, Z Yu, Y Zhao, Y Zhang, C Li, B Li, Y Lin 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 43 | 2023 |
| Vitality: Unifying low-rank and sparse approximation for vision transformer acceleration with a linear taylor attention J Dass, S Wu, H Shi, C Li, Z Ye, Z Wang, Y Lin 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 33 | 2023 |
| Instant-3d: Instant neural radiance field training towards on-device ar/vr 3d reconstruction S Li, C Li, W Zhu, B Yu, Y Zhao, C Wan, H You, H Shi, Y Lin Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 20 | 2023 |
| ShiftAddNAS: Hardware-inspired search for more accurate and efficient neural networks H You, B Li, S Huihong, Y Fu, Y Lin International Conference on Machine Learning, 25566-25580, 2022 | 10 | 2022 |
| ShiftAddViT: Mixture of multiplication primitives towards efficient vision transformer H You, H Shi, Y Guo, Y Lin Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Max-affine spline insights into deep network pruning H You, R Balestriero, Z Lu, Y Kou, H Shi, S Zhang, S Wu, Y Lin, ... arXiv preprint arXiv:2101.02338, 2021 | 6 | 2021 |
| Intelligent typography: Artistic text style transfer for complex texture and structure W Mao, S Yang, H Shi, J Liu, Z Wang IEEE Transactions on Multimedia 25, 6485-6498, 2022 | 5 | 2022 |
| NASA: Neural architecture search and acceleration for hardware inspired hybrid networks H Shi, H You, Y Zhao, Z Wang, Y Lin Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 4 | 2022 |
| NASA+: Neural architecture search and acceleration for multiplication-reduced hybrid networks H Shi, H You, Z Wang, Y Lin IEEE Transactions on Circuits and Systems I: Regular Papers 70 (6), 2523-2536, 2023 | 3 | 2023 |
| Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration Z Yu, Z Wang, Y Fu, H Shi, K Shaikh, YC Lin arXiv preprint arXiv:2406.15765, 2024 | 1 | 2024 |
| An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT H Shao, H Shi, W Mao, Z Wang arXiv preprint arXiv:2403.20230, 2024 | 1 | 2024 |
| A computationally efficient neural video compression accelerator based on a sparse cnn-transformer hybrid network S Zhang, W Mao, H Shi, Z Wang 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | 1 | 2024 |
| NASA-F: FPGA-Oriented Search and Acceleration for Multiplication-Reduced Hybrid Networks H Shi, Y Xu, Y Wang, W Mao, Z Wang IEEE Transactions on Circuits and Systems I: Regular Papers, 2023 | 1 | 2023 |
| Max-affine spline insights into deep network pruning R Balestriero, H You, Z Lu, Y Kou, H Shi, Y Lin, R Baraniuk | 1 | 2018 |
| ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization H You, Y Guo, Y Fu, W Zhou, H Shi, X Zhang, S Kundu, A Yazdanbakhsh, ... arXiv preprint arXiv:2406.05981, 2024 | | 2024 |
| P-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer H Shi, X Cheng, W Mao, Z Wang arXiv preprint arXiv:2405.19915, 2024 | | 2024 |
| Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer H Shi, H Shao, W Mao, Z Wang arXiv preprint arXiv:2405.03882, 2024 | | 2024 |
| SR: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution M She, W Mao, H Shi, Z Wang International Conference on Artificial Neural Networks, 522-537, 2023 | | 2023 |
| LITNet: A Light-weight Image Transform Net for Image Style Transfer H Shi, W Mao, Z Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | | 2021 |
