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ORCIDDiana Marculescu
- > Home > Persons > Diana Marculescu
Publications
- 2023
[j58]Ahmet Inci
, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration. ACM Trans. Embed. Comput. Syst. 22(2): 33:1-33:21 (2023)- 2022
- [i41]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators. CoRR abs/2205.08648 (2022) - [i40]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality. CoRR abs/2205.13045 (2022) - [i36]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration. CoRR abs/2206.15463 (2022) - 2020
- [j55]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. IEEE J. Sel. Top. Signal Process. 14(4): 609-622 (2020) - [c125]Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
Towards Efficient Model Compression via Learned Global Ranking. CVPR 2020: 1515-1525 - [c121]Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu:
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. WACV 2020: 1169-1178 - 2019
- [c120]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CVPR 2019: 11408-11417 - [c119]Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, R. D. (Shawn) Blanton:
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. DAC 2019: 200 - [c118]Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. SysML 2019 - [c117]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours. ECML/PKDD (2) 2019: 481-497 - [i24]Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu:
Understanding the Impact of Label Granularity on CNN-based Image Classification. CoRR abs/1901.07012 (2019) - [i23]Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling. CoRR abs/1902.02910 (2019) - [i22]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CoRR abs/1904.02823 (2019) - [i21]Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, Ronald D. Blanton:
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. CoRR abs/1904.02835 (2019) - [i20]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours. CoRR abs/1904.02877 (2019) - [i19]Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
LeGR: Filter Pruning via Learned Global Ranking. CoRR abs/1904.12368 (2019) - [i18]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Device-Aware Efficient ConvNet Design. CoRR abs/1905.04159 (2019) - [i17]Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu:
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. CoRR abs/1906.07912 (2019) - [i16]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. CoRR abs/1907.00959 (2019) - 2018
- [j49]Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu:
Lightening the Load with Highly Accurate Storage- and Energy-Efficient LightNNs. ACM Trans. Reconfigurable Technol. Syst. 11(3): 17:1-17:24 (2018) - [c116]Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu:
Quantized deep neural networks for energy efficient hardware-based inference. ASP-DAC 2018: 1-8 - [c111]Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu:
Understanding the Impact of Label Granularity on CNN-Based Image Classification. ICDM Workshops 2018: 895-904 - [i14]Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton:
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. CoRR abs/1802.02178 (2018) - 2017
- [c109]Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu:
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek 2017: 39-42 - [c107]Ruizhou Ding, Diana Marculescu:
Leveraging Classification Models for River Forecasting. SIGSPATIAL/GIS 2017: 83:1-83:4 - [c106]Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton:
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. ACM Great Lakes Symposium on VLSI 2017: 35-40
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