Improving the accuracy of the leakage power estimation of embedded CPUs. - Ting-Wu Chin; Shiao-Li Tsao; Kuo-Wei Hung; Pei-Shu Huang (DATE, 2017)

Flying IoT: Toward Low-Power Vision in the Sky. - Hasan Genc; Yazhou Zu; Ting-Wu Chin; Matthew Halpern; Vijay Janapa Reddi (IEEE Micro, 2017)

Designing adaptive neural networks for energy-constrained image classification. - Dimitrios Stamoulis; Ting-Wu (Rudy) Chin; Anand Krishnan Prakash; Haocheng Fang; Sribhuvan Sajja; Mitchell Bognar; Diana Marculescu (ICCAD, 2018)

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

Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks. - Ting-Wu Chin; Cha Zhang; Diana Marculescu (CoRR, 2018)

Domain-Specific Approximation for Object Detection. - Ting-Wu Chin; Chia-Lin Yu; Matthew Halpern; Hasan Genc; Shiao-Li Tsao; Vijay Janapa Reddi (IEEE Micro, 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)

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

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

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

One Weight Bitwidth to Rule Them All. - Ting-Wu Chin; Pierce I-Jen Chuang; Vikas Chandra; Diana Marculescu (ECCV Workshops (5), 2020)

Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation. - Ting-Wu Chin; Cha Zhang; Diana Marculescu (CoRR, 2020)

PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks. - Ting-Wu Chin; Ari S. Morcos; Diana Marculescu (CoRR, 2020)

Width Transfer: On the (In)variance of Width Optimization. - Ting-Wu Chin; Diana Marculescu; Ari S. Morcos (CVPR Workshops, 2021)

Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness. - Ting-Wu Chin; Cha Zhang; Diana Marculescu (CVPR Workshops, 2021)

Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks. - Ting-Wu Chin; Ari S. Morcos; Diana Marculescu (ECML/PKDD (3), 2021)

Putting the "Machine" Back in Machine Learning for Engineering Students. - Ting-Wu Chin; Dimitrios Stamoulis; Diana Marculescu (Teaching ML, 2021)

ANT: Adapt Network Across Time for Efficient Video Processing. - Feng Liang; Ting-Wu Chin; Yang Zhou; Diana Marculescu (CVPR Workshops, 2022)

Play It Cool: Dynamic Shifting Prevents Thermal Throttling. - Yang Zhou; Feng Liang; Ting-Wu Chin; Diana Marculescu (CoRR, 2022)

On Designing Resource-Constrained CNNs Efficiently. - Ting-Wu Chin (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)