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Ruizhou Ding
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2020 – today
- 2023
- [j4]Ahmet Inci
, Siri Garudanagiri Virupaksha
QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration. ACM Trans. Embed. Comput. Syst. 22(2): 33:1-33:21 (2023) - [j3]Chenlei Fang
Efficient Test Chip Design via Smart Computation. ACM Trans. Design Autom. Electr. Syst. 28(2): 22:1-22:31 (2023) - 2022
- [i13]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) - [i12]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) - [i11]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
- [j2]Dimitrios Stamoulis
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. IEEE J. Sel. Top. Signal Process. 14(4): 609-622 (2020) - [c13]Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
Towards Efficient Model Compression via Learned Global Ranking. CVPR 2020: 1515-1525 - [c12]Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. WACV 2020: 1169-1178
2010 – 2019
- 2019
- [c11]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu
Regularizing Activation Distribution for Training Binarized Deep Networks. CVPR 2019: 11408-11417 - [c10]Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. DAC 2019: 200 - [c9]Qicheng Huang, Chenlei Fang, Zeye Liu, Ruizhou Ding, R. D. Shawn Blanton:
IPSA: Integer Programming via Sparse Approximation for Efficient Test-Chip Design. ICCD 2019: 11-19 - [c8]Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. SysML 2019 - [c7]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 - [i10]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) - [i9]Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling. CoRR abs/1902.02910 (2019) - [i8]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CoRR abs/1904.02823 (2019) - [i7]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) - [i6]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) - [i5]Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
LeGR: Filter Pruning via Learned Global Ranking. CoRR abs/1904.12368 (2019) - [i4]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) - [i3]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) - [i2]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
- [j1]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) - [c6]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 - [c5]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 - [i1]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
- [c4]Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek 2017: 39-42 - [c3]Ruizhou Ding, Diana Marculescu
Leveraging Classification Models for River Forecasting. SIGSPATIAL/GIS 2017: 83:1-83:4 - [c2]Ruizhou Ding, Zeye Liu, Rongye Shi
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. ACM Great Lakes Symposium on VLSI 2017: 35-40 - 2015
- [c1]Ruizhou Ding, Tianyu Wang, Lingyang Song, Zhu Han, Jianjun Wu:
Roadside-unit caching in vehicular ad hoc networks for efficient popular content delivery. WCNC 2015: 1207-1212
Coauthor Index
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