| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 561 | 2018 |
| Fpga/dnn co-design: An efficient design methodology for 1ot intelligence on the edge C Hao, X Zhang, Y Li, S Huang, J Xiong, K Rupnow, W Hwu, D Chen 2019 56th ACM/IEEE Design Automation Conference (DAC), 1-6, 2019 | 114 | 2019 |
| Cloud-DNN: An open framework for mapping DNN models to cloud FPGAs Y Chen, J He, X Zhang, C Hao, D Chen Proceedings of the 2019 ACM/SIGDA international symposium on field …, 2019 | 73 | 2019 |
| 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, ... Proceedings of Machine Learning and Systems 2, 216-229, 2020 | 51 | 2020 |
| AutoDNNchip: An automated dnn chip predictor and builder for both FPGAs and ASICs P Xu, X Zhang, C Hao, Y Zhao, Y Zhang, Y Wang, C Li, Z Guan, D Chen, ... Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020 | 45 | 2020 |
| 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 | 41 | 2020 |
| Adversarial graph augmentation to improve graph contrastive learning S Suresh, P Li, C Hao, J Neville Advances in Neural Information Processing Systems 34, 2021 | 23 | 2021 |
| Improving the generalization ability of deep neural networks for cross-domain visual recognition J Zheng, C Lu, C Hao, D Chen, D Guo IEEE Transactions on Cognitive and Developmental Systems 13 (3), 607-620, 2020 | 19 | 2020 |
| T-DLA: An open-source deep learning accelerator for ternarized DNN models on embedded FPGA Y Chen, K Zhang, C Gong, C Hao, X Zhang, T Li, D Chen 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 13-18, 2019 | 18 | 2019 |
| VecQ: Minimal loss dnn model compression with vectorized weight quantization C Gong, Y Chen, Y Lu, T Li, C Hao, D Chen IEEE Transactions on Computers 70 (5), 696-710, 2020 | 16 | 2020 |
| Skynet: A champion model for dac-sdc on low power object detection X Zhang, C Hao, H Lu, J Li, Y Li, Y Fan, K Rupnow, J Xiong, T Huang, ... arXiv preprint arXiv:1906.10327, 2019 | 14 | 2019 |
| NAIS: Neural architecture and implementation search and its applications in autonomous driving C Hao, Y Chen, X Liu, A Sarwari, D Sew, A Dhar, B Wu, D Fu, J Xiong, ... 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 13 | 2019 |
| Triangle counting and truss decomposition using fpga S Huang, M El-Hadedy, C Hao, Q Li, VS Mailthody, K Date, J Xiong, ... 2018 IEEE high performance extreme computing conference (HPEC), 1-7, 2018 | 13 | 2018 |
| IRONMAN GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning N Wu, Y Xie, C Hao Proceedings of the 2021 on Great Lakes Symposium on VLSI, 39-44, 2021 | 10 | 2021 |
| Enabling design methodologies and future trends for edge AI: specialization and codesign C Hao, J Dotzel, J Xiong, L Benini, Z Zhang, D Chen IEEE Design & Test 38 (4), 7-26, 2021 | 10 | 2021 |
| Deep neural network model and FPGA accelerator co-design: Opportunities and challenges C Hao, D Chen 2018 14th IEEE International Conference on Solid-State and Integrated …, 2018 | 10 | 2018 |
| 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 | 8 | 2019 |
| Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems C Hao, D Chen 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 7 | 2021 |
| µl2q: An ultra-low loss quantization method for DNN compression C Gong, T Li, Y Lu, C Hao, X Zhang, D Chen, Y Chen 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 7 | 2019 |
| 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 | 7 | 2019 |
Deming ChenAbel Bliss Professor. University of Illinois at Urbana-ChampaignVerified email at illinois.edu
