| Csrnet: Dilated convolutional neural networks for understanding the highly congested scenes Y Li, X Zhang, D Chen Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1709 | 2018 |
| FPGA/DNN co-design: An efficient design methodology for IoT intelligence on the edge C Hao, X Zhang, Y Li, S Huang, J Xiong, K Rupnow, W Hwu, D Chen Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 219 | 2019 |
| Medusa: Simple llm inference acceleration framework with multiple decoding heads T Cai, Y Li, Z Geng, H Peng, JD Lee, D Chen, T Dao arXiv preprint arXiv:2401.10774, 2024 | 150* | 2024 |
| SkyNet: a hardware-efficient method for object detection and tracking on embedded systems X Zhang, H Lu, C Hao, J Li, B Cheng, Y Li, K Rupnow, J Xiong, T Huang, ... arXiv preprint arXiv:1909.09709, 2019 | 140* | 2019 |
| Edd: Efficient differentiable dnn architecture and implementation co-search for embedded ai solutions Y Li, C Hao, X Zhang, X Liu, Y Chen, J Xiong, W Hwu, D Chen 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 110 | 2020 |
| What Makes Convolutional Models Great on Long Sequence Modeling? Y Li, T Cai, Y Zhang, D Chen, D Dey Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 97 | 2022 |
| SiamVGG: Visual tracking using deeper siamese networks Y Li, X Zhang, D Chen arXiv preprint arXiv:1902.02804, 2019 | 77 | 2019 |
| Generic neural architecture search via regression Y Li, C Hao, P Li, J Xiong, D Chen Advances in Neural Information Processing Systems (NeurIPS 2021) 34, 20476-20490, 2021 | 38 | 2021 |
| Snapkv: Llm knows what you are looking for before generation Y Li, Y Huang, B Yang, B Venkitesh, A Locatelli, H Ye, T Cai, P Lewis, ... arXiv preprint arXiv:2404.14469, 2024 | 37 | 2024 |
| A hybrid GPU+ FPGA system design for autonomous driving cars C Hao, A Sarwari, Z Jin, H Abu-Haimed, D Sew, Y Li, X Liu, B Wu, D Fu, ... 2019 IEEE International Workshop on Signal Processing Systems (SiPS), 121-126, 2019 | 31 | 2019 |
| Algorithm/Accelerator co-design and co-search for edge AI X Zhang, Y Li, J Pan, D Chen IEEE Transactions on Circuits and Systems II: Express Briefs 69 (7), 3064-3070, 2022 | 14 | 2022 |
| A bi-directional co-design approach to enable deep learning on IoT devices X Zhang, C Hao, Y Li, Y Chen, J Xiong, W Hwu, D Chen arXiv preprint arXiv:1905.08369, 2019 | 14 | 2019 |
| Extensible and efficient proxy for neural architecture search Y Li, J Li, C Hao, P Li, J Xiong, D Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6* | 2023 |
| Effective algorithm-accelerator co-design for AI solutions on edge devices C Hao, Y Chen, X Zhang, Y Li, J Xiong, W Hwu, D Chen Proceedings of the 2020 on Great Lakes Symposium on VLSI, 283-290, 2020 | 6 | 2020 |
| Improving random-sampling neural architecture search by evolving the proxy search space Y Li, C Hao, X Zhang, J Xiong, W Hwu, D Chen | 1 | 2020 |
| Efficient Machine Learning, Compilers, and Optimizations for Embedded Systems. X Zhang, Y Chen, C Hao, S Huang, Y Li, D Chen CoRR, 2022 | | 2022 |
Deming ChenAbel Bliss Professor. University of Illinois at Urbana-ChampaignEmail verificata su illinois.edu