Ting-Wu Chin

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 29

Top Topics

Object Detection

Transfer Learning

Top Venues

Publications

Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration. ACM Trans. Embed. Comput. Syst. 22 (2) (2023)
Yang Zhou, Feng Liang, Ting-Wu Chin, Diana Marculescu
Play It Cool: Dynamic Shifting Prevents Thermal Throttling. CoRR (2022)
Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration. CoRR (2022)
Feng Liang, Ting-Wu Chin, Yang Zhou, Diana Marculescu
ANT: Adapt Network Across Time for Efficient Video Processing. CVPR Workshops (2022)
Ting-Wu Chin, Ari S. Morcos, Diana Marculescu
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks. ECML/PKDD (3) (2021)
Ting-Wu Chin, Diana Marculescu, Ari S. Morcos
Width Transfer: On the (In)variance of Width Optimization. CoRR (2021)
Ting-Wu Chin, Cha Zhang, Diana Marculescu
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness. CVPR Workshops (2021)
Ting-Wu Chin, Dimitrios Stamoulis, Diana Marculescu
Putting the "Machine" Back in Machine Learning for Engineering Students. Teaching ML (2021)
Ting-Wu Chin, Diana Marculescu, Ari S. Morcos
Width Transfer: On the (In)variance of Width Optimization. CVPR Workshops (2021)
Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu
One Weight Bitwidth to Rule Them All. CoRR (2020)
Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu
One Weight Bitwidth to Rule Them All. ECCV Workshops (5) (2020)
Ting-Wu Chin, Ari S. Morcos, Diana Marculescu
PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks. CoRR (2020)
Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
Towards Efficient Model Compression via Learned Global Ranking. CVPR (2020)
Ting-Wu Chin, Cha Zhang, Diana Marculescu
Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation. CoRR (2020)
Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, R. D. (Shawn) Blanton
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. DAC (2019)
Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
LeGR: Filter Pruning via Learned Global Ranking. CoRR (2019)
Ting-Wu Chin, Ruizhou Ding, Diana Marculescu
AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. MLSys (2019)
Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu
Understanding the Impact of Label Granularity on CNN-based Image Classification. CoRR (2019)
Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu
Regularizing Activation Distribution for Training Binarized Deep Networks. CVPR (2019)
Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu
Regularizing Activation Distribution for Training Binarized Deep Networks. CoRR (2019)
Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, Ronald D. Blanton
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. CoRR (2019)
Ting-Wu Chin, Ruizhou Ding, Diana Marculescu
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling. CoRR (2019)
Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern, Hasan Genc, Shiao-Li Tsao, Vijay Janapa Reddi
Domain-Specific Approximation for Object Detection. IEEE Micro 38 (1) (2018)
Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern, Hasan Genc, Shiao-Li Tsao, Vijay Janapa Reddi
Domain Specific Approximation for Object Detection. CoRR (2018)
Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu
Understanding the Impact of Label Granularity on CNN-Based Image Classification. ICDM Workshops (2018)
Ting-Wu Chin, Cha Zhang, Diana Marculescu
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks. CoRR (2018)
Dimitrios Stamoulis, Ting-Wu Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu
Designing Adaptive Neural Networks for Energy-Constrained Image Classification. CoRR (2018)
Ting-Wu Chin, Shiao-Li Tsao, Kuo-Wei Hung, Pei-Shu Huang
Improving the accuracy of the leakage power estimation of embedded CPUs. DATE (2017)
Hasan Genc, Yazhou Zu, Ting-Wu Chin, Matthew Halpern, Vijay Janapa Reddi
Flying IoT: Toward Low-Power Vision in the Sky. IEEE Micro 37 (6) (2017)