Ruizhou Ding

According to our database, Ruizhou Ding authored at least 21 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Efficient Test Chip Design via Smart Computation.

Chenlei Fang, Qicheng Huang, Zeye Liu, Ruizhou Ding, Ronald D. Blanton

ACM Trans. Design Autom. Electr. Syst., March, 2023

QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration.

Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu

ACM Trans. Embed. Comput. Syst., March, 2023

2022

QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality.

Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu

CoRR, 2022

QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators.

Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu

CoRR, 2022

2020

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization.

Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

IEEE J. Sel. Top. Signal Process., 2020

ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection.

Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Towards Efficient Model Compression via Learned Global Ranking.

Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Single-Path NAS: Device-Aware Efficient ConvNet Design.

Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

CoRR, 2019

LeGR: Filter Pruning via Learned Global Ranking.

Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu

CoRR, 2019

Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours.

Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling.

Ting-Wu Chin, Ruizhou Ding, Diana Marculescu

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

IPSA: Integer Programming via Sparse Approximation for Efficient Test-Chip Design.

Qicheng Huang, Chenlei Fang, Zeye Liu, Ruizhou Ding, R. D. Shawn Blanton

Proceedings of the 37th IEEE International Conference on Computer Design, 2019

FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference.

Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, R. D. (Shawn) Blanton

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Regularizing Activation Distribution for Training Binarized Deep Networks.

Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Lightening the Load with Highly Accurate Storage- and Energy-Efficient LightNNs.

Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu

ACM Trans. Reconfigurable Technol. Syst., 2018

Understanding the Impact of Label Granularity on CNN-Based Image Classification.

Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Quantized deep neural networks for energy efficient hardware-based inference.

Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017

LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks.

Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

Leveraging Classification Models for River Forecasting.

Ruizhou Ding, Diana Marculescu

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Enhancing precipitation models by capturing multivariate and multiscale climate dynamics.

Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu

Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, 2017

2015

Roadside-unit caching in vehicular ad hoc networks for efficient popular content delivery.

Ruizhou Ding, Tianyu Wang, Lingyang Song, Zhu Han, Jianjun Wu

Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015