Roadside-unit caching in vehicular ad hoc networks for efficient popular content delivery. - Ruizhou Ding; Tianyu Wang 001; Lingyang Song; Zhu Han 001; Jianjun Wu 002 (WCNC, 2015)

Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. - Ruizhou Ding; Dimitrios Stamoulis; Kartikeya Bhardwaj; Diana Marculescu; Radu Marculescu (CySWATER@CPSWeek, 2017)

Leveraging Classification Models for River Forecasting. - Ruizhou Ding; Diana Marculescu (SIGSPATIAL/GIS, 2017)

LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. - Ruizhou Ding; Zeye Liu 001; Rongye Shi; Diana Marculescu; R. D. (Shawn) Blanton (ACM Great Lakes Symposium on VLSI, 2017)

Quantized deep neural networks for energy efficient hardware-based inference. - Ruizhou Ding; Zeye Liu 001; R. D. (Shawn) Blanton; Diana Marculescu (ASP-DAC, 2018)

Understanding the Impact of Label Granularity on CNN-Based Image Classification. - Zhuo Chen; Ruizhou Ding; Ting-Wu Chin; Diana Marculescu (ICDM Workshops, 2018)

Lightening the Load with Highly Accurate Storage- and Energy-Efficient LightNNs. - Ruizhou Ding; Zeye Liu 001; R. D. (Shawn) Blanton; Diana Marculescu (ACM Trans. Reconfigurable Technol. Syst., 2018)

Regularizing Activation Distribution for Training Binarized Deep Networks. - Ruizhou Ding; Ting-Wu Chin; Zeye Liu 001; Diana Marculescu (CVPR, 2019)

FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. - Ruizhou Ding; Zeye Liu 001; Ting-Wu Chin; Diana Marculescu; R. D. (Shawn) Blanton (DAC, 2019)

IPSA: Integer Programming via Sparse Approximation for Efficient Test-Chip Design. - Qicheng Huang; Chenlei Fang; Zeye Liu 001; Ruizhou Ding; R. D. Shawn Blanton (ICCD, 2019)

AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. - Ting-Wu Chin; Ruizhou Ding; Diana Marculescu (SysML, 2019)

Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours. - Dimitrios Stamoulis; Ruizhou Ding; Di Wang 003; Dimitrios Lymberopoulos; Bodhi Priyantha; Jie Liu 001; Diana Marculescu (ECML/PKDD (2), 2019)

LeGR: Filter Pruning via Learned Global Ranking. - Ting-Wu Chin; Ruizhou Ding; Cha Zhang; Diana Marculescu (CoRR, 2019)

Single-Path NAS: Device-Aware Efficient ConvNet Design. - Dimitrios Stamoulis; Ruizhou Ding; Di Wang 003; Dimitrios Lymberopoulos; Bodhi Priyantha; Jie Liu 001; Diana Marculescu (CoRR, 2019)

Towards Efficient Model Compression via Learned Global Ranking. - Ting-Wu Chin; Ruizhou Ding; Cha Zhang; Diana Marculescu (CVPR, 2020)

ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. - Zhuo Chen; Jiyuan Zhang; Ruizhou Ding; Diana Marculescu (WACV, 2020)

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. - Dimitrios Stamoulis; Ruizhou Ding; Di Wang 003; Dimitrios Lymberopoulos; Bodhi Priyantha; Jie Liu 001; Diana Marculescu (IEEE J. Sel. Top. Signal Process., 2020)

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)

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)

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., 2023)

Efficient Test Chip Design via Smart Computation. - Chenlei Fang; Qicheng Huang; Zeye Liu 001; Ruizhou Ding; Ronald D. Blanton (ACM Trans. Design Autom. Electr. Syst., 2023)