| CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes Y Li, X Zhang, D Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 868 | 2018 |
| 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), 0-0, 2018 | 585 | 2018 |
| DNNBuilder: an Automated Tool for Building High-Performance DNN Hardware Accelerators for FPGAs X Zhang, J Wang, C Zhu, Y Lin, JJ Xiong, W Hwu, D Chen (Best Paper Award) IEEE/ACM Int. Conference on Computer Aided Design (ICCAD), 2018 | 230 | 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 ACM/IEEE Design Automation Conference (DAC), 2019 | 124 | 2019 |
| Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA J Wang, Q Lou, X Zhang, C Zhu, Y Lin, D Chen International Conference on Field Programmable Logic and Applications (FPL), 2018 | 99 | 2018 |
| High-performance video content recognition with long-term recurrent convolutional network for FPGA X Zhang, X Liu, A Ramachandran, C Zhuge, S Tang, P Ouyang, Z Cheng, ... International Conference on Field Programmable Logic and Applications (FPL), 2017 | 81 | 2017 |
| Cloud-DNN: An Open Framework for Mapping DNN Models to Cloud FPGAs Y Chen, J He, X Zhang, C Hao, D Chen ACM/SIGDA Int. Symposium on Field-Programmable Gate Arrays (FPGA), 2019 | 75 | 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, ... Conference on Machine Learning and Systems (MLSys), 2020 | 56 | 2020 |
| Machine Learning on FPGAs to Face the IoT Revolution X Zhang, A Ramachandran, C Zhuge, D He, W Zuo, Z Cheng, K Rupnow, ... IEEE/ACM Int. Conference on Computer Aided Design (ICCAD), 2017 | 55 | 2017 |
| 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, ... ACM/SIGDA Int. Symposium on Field-Programmable Gate Arrays (FPGA), 2020 | 49 | 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 ACM/IEEE Design Automation Conference (DAC), 2020 | 46 | 2020 |
| SiamVGG: Visual Tracking using Deeper Siamese Networks Y Li, X Zhang arXiv preprint arXiv:1902.02804, 2019 | 45 | 2019 |
| Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs C Zhuge, X Liu, X Zhang, S Gummadi, J Xiong, D Chen ACM Great Lakes Symposium on VLSI (GLSVLSI), 2018 | 37 | 2018 |
| HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation H Ye, X Zhang, Z Huang, G Chen, D Chen ACM/IEEE Design Automation Conference (DAC), 2020 | 33 | 2020 |
| Implementing neural machine translation with bi-directional GRU and attention mechanism on FPGAs using HLS Q Li, X Zhang, JJ Xiong, W Hwu, D Chen Asia and South Pacific Design Automation Conference (ASP-DAC), 2019 | 28 | 2019 |
| DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator X Zhang, H Ye, J Wang, Y Lin, J Xiong, W Hwu, D Chen IEEE/ACM Int. Conference on Computer Aided Design (ICCAD), 2020 | 22 | 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 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2019 | 22 | 2019 |
| Non-Blocking Testing for Network-on-Chip L Huang, J Wang, M Ebrahimi, M Daneshtalab, X Zhang, G Li, A Jantsch IEEE Transactions on Computers 65 (3), 679-692, 2016 | 19 | 2016 |
| 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, jinjun Xiong, T Huang, ... Report for DAC System Design Contest, arXiv preprint, 2019 | 15 | 2019 |
| µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression C Gong, T Li, Y Lu, C Hao, X Zhang, D Chen, Y Chen International Joint Conference on Neural Networks (IJCNN), 2019 | 8 | 2019 |
Deming ChenAbel Bliss Professor. University of Illinois at Urbana-ChampaignVerified email at illinois.edu
