| 2020 | CVPR | Towards Efficient Model Compression via Learned Global Ranking. | Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu |
| 2020 | WACV | ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. | Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu |
| 2019 | CVPR | Regularizing Activation Distribution for Training Binarized Deep Networks. | Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu |
| 2019 | DAC | FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. | Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, R. D. (Shawn) Blanton |
| 2019 | ICCD | IPSA: Integer Programming via Sparse Approximation for Efficient Test-Chip Design. | Qicheng Huang, Chenlei Fang, Zeye Liu, Ruizhou Ding, R. D. Shawn Blanton |
| 2018 | ASPDAC | Quantized deep neural networks for energy efficient hardware-based inference. | Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu |
| 2018 | ICDM | Understanding the Impact of Label Granularity on CNN-Based Image Classification. | Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu |
| 2015 | WCNC | Roadside-unit caching in vehicular ad hoc networks for efficient popular content delivery. | Ruizhou Ding, Tianyu Wang, Lingyang Song, Zhu Han, Jianjun Wu |