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Ruizhou Ding
Ruizhou Ding
Verified email at andrew.cmu.edu
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Cited by
Year
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
2052019
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
792020
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
742019
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
622015
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
512019
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
382017
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
332018
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
232018
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
222020
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
212019
Legr: Filter pruning via learned global ranking
TW Chin, R Ding, C Zhang, D Marculescu
142019
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
122018
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
72020
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
32017
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
22019
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
12022
Computational Approaches for Incorporating Short-and Long-Term Dynamics in Smart Water Networks
K Bhardwaj, D Stamoulis, R Ding, D Marculescu, R Marculescu
Smart Water Grids, 297-323, 2018
12018
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
2022
Flexible, lightweight quantized deep neural networks
R Ding, Z Liu, TW Chin, D Marculescu, RD Blanton
US Patent App. 16/887,988, 2020
2020
Improving Efficiency and Accuracy for Training and Inference of Hardware-aware Machine Learning Systems
R Ding
Carnegie Mellon University, 2020
2020
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