| 2022 | CVPR | ANT: Adapt Network Across Time for Efficient Video Processing. | Feng Liang, Ting-Wu Chin, Yang Zhou, Diana Marculescu |
| 2021 | CVPR | Width Transfer: On the (In)variance of Width Optimization. | Ting-Wu Chin, Diana Marculescu, Ari S. Morcos |
| 2021 | CVPR | Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness. | Ting-Wu Chin, Cha Zhang, Diana Marculescu |
| 2020 | CVPR | Towards Efficient Model Compression via Learned Global Ranking. | Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu |
| 2020 | ECCV | One Weight Bitwidth to Rule Them All. | Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, 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 |
| 2018 | ICDM | Understanding the Impact of Label Granularity on CNN-Based Image Classification. | Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu |
| 2017 | DATE | Improving the accuracy of the leakage power estimation of embedded CPUs. | Ting-Wu Chin, Shiao-Li Tsao, Kuo-Wei Hung, Pei-Shu Huang |