Ruizhou Ding

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 29

Top Topics

Sparse Approximation

Image Classification

Pareto Optimality

Top Venues

ACM Trans. Embed. Comput. Syst.

ACM Trans. Reconfigurable Technol. Syst.

Publications

Chenlei Fang, Qicheng Huang, Zeye Liu, Ruizhou Ding, Ronald D. Blanton
Efficient Test Chip Design via Smart Computation. ACM Trans. Design Autom. Electr. Syst. 28 (2) (2023)
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) (2023)
Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality. CoRR (2022)
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 (2022)
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 (2022)
Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. WACV (2020)
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) (2020)
Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
Towards Efficient Model Compression via Learned Global Ranking. CVPR (2020)
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)
Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
LeGR: Filter Pruning via Learned Global Ranking. CoRR (2019)
Ting-Wu Chin, Ruizhou Ding, Diana Marculescu
AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. MLSys (2019)
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 (2019)
Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu
Understanding the Impact of Label Granularity on CNN-based Image Classification. CoRR (2019)
Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu
Regularizing Activation Distribution for Training Binarized Deep Networks. CVPR (2019)
Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu
Regularizing Activation Distribution for Training Binarized Deep Networks. CoRR (2019)
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)
Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, Ronald D. Blanton
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. CoRR (2019)
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 (2019)
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)
Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. CoRR (2019)
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
Single-Path NAS: Device-Aware Efficient ConvNet Design. CoRR (2019)
Ting-Wu Chin, Ruizhou Ding, Diana Marculescu
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling. CoRR (2019)
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) (2018)
Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu
Understanding the Impact of Label Granularity on CNN-Based Image Classification. ICDM Workshops (2018)
Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu
Quantized deep neural networks for energy efficient hardware-based inference. ASP-DAC (2018)
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 (2018)
Ruizhou Ding, Diana Marculescu
Leveraging Classification Models for River Forecasting. SIGSPATIAL/GIS (2017)
Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek (2017)
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)
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)