| Single-path nas: Designing hardware-efficient convnets in less than 4 hours D Stamoulis, R Ding, D Wang, D Lymberopoulos, B Priyantha, J Liu, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 332 | 2019 |
| Towards efficient model compression via learned global ranking TW Chin, R Ding, C Zhang, D Marculescu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 208 | 2020 |
| Regularizing activation distribution for training binarized deep networks R Ding, TW Chin, Z Liu, D Marculescu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 165 | 2019 |
| Adascale: Towards real-time video object detection using adaptive scaling TW Chin, R Ding, D Marculescu Proceedings of machine learning and systems 1, 431-441, 2019 | 94 | 2019 |
| Roadside-unit caching in vehicular ad hoc networks for efficient popular content delivery R Ding, T Wang, L Song, Z Han, J Wu 2015 IEEE Wireless Communications and Networking Conference (WCNC), 1207-1212, 2015 | 77 | 2015 |
| Quantized deep neural networks for energy efficient hardware-based inference R Ding, Z Liu, RDS Blanton, D Marculescu 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 1-8, 2018 | 55 | 2018 |
| Lightnn: Filling the gap between conventional deep neural networks and binarized networks R Ding, Z Liu, R Shi, D Marculescu, RD Blanton Proceedings of the on Great Lakes Symposium on VLSI 2017, 35-40, 2017 | 48 | 2017 |
| Single-path mobile automl: Efficient convnet design and nas hyperparameter optimization D Stamoulis, R Ding, D Wang, D Lymberopoulos, B Priyantha, J Liu, ... IEEE Journal of Selected Topics in Signal Processing 14 (4), 609-622, 2020 | 41 | 2020 |
| Understanding the impact of label granularity on cnn-based image classification Z Chen, R Ding, TW Chin, D Marculescu 2018 IEEE international conference on data mining workshops (ICDMW), 895-904, 2018 | 37 | 2018 |
| Flightnns: Lightweight quantized deep neural networks for fast and accurate inference R Ding, Z Liu, TW Chin, D Marculescu, RD Blanton Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 31 | 2019 |
| Lightening the load with highly accurate storage-and energy-efficient lightnns R Ding, Z Liu, RD Blanton, D Marculescu ACM Transactions on Reconfigurable Technology and Systems (TRETS) 11 (3), 1-24, 2018 | 22 | 2018 |
| Legr: Filter pruning via learned global ranking TW Chin, R Ding, C Zhang, D Marculescu arXiv preprint arXiv:1904.12368 85, 86, 2019 | 18 | 2019 |
| Vip: Virtual pooling for accelerating cnn-based image classification and object detection Z Chen, J Zhang, R Ding, D Marculescu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 10 | 2020 |
| Towards efficient model compression via learned global ranking. 2020 IEEE TW Chin, R Ding, C Zhang, D Marculescu CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1515-1525, 2020 | 9 | 2020 |
| QAPPA: Quantization-aware power, performance, and area modeling of DNN accelerators A Inci, SG Virupaksha, A Jain, VV Thallam, R Ding, D Marculescu arXiv preprint arXiv:2205.08648, 2022 | 7 | 2022 |
| QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration A Inci, S Virupaksha, A Jain, TW Chin, V Thallam, R Ding, D Marculescu ACM Transactions on Embedded Computing Systems 22 (2), 1-21, 2023 | 6 | 2023 |
| Qadam: Quantization-aware dnn accelerator modeling for pareto-optimality A Inci, SG Virupaksha, A Jain, VV Thallam, R Ding, D Marculescu arXiv preprint arXiv:2205.13045, 2022 | 5 | 2022 |
| Enhancing precipitation models by capturing multivariate and multiscale climate dynamics R Ding, D Stamoulis, K Bhardwaj, D Marculescu, R Marculescu Proceedings of the 3rd International Workshop on Cyber-Physical Systems for …, 2017 | 3 | 2017 |
| Flexible, lightweight quantized deep neural networks R Ding, Z Liu, TW Chin, D Marculescu, RD Blanton US Patent 11,521,074, 2022 | 2 | 2022 |
| IPSA: Integer Programming via Sparse Approximation for Efficient Test-Chip Design Q Huang, C Fang, Z Liu, R Ding, RDS Blanton 2019 IEEE 37th International Conference on Computer Design (ICCD), 11-19, 2019 | 2 | 2019 |
Diana MarculescuThe University of Texas at AustinVerified email at utexas.edu
