Ting-Wu Chin
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Towards Efficient Model Compression via Learned Global Ranking
TW Chin, R Ding, C Zhang, D Marculescu
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020
Regularizing activation distribution for training binarized deep networks
R Ding, TW Chin, Z Liu, D Marculescu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Designing Adaptive Neural Networks for Energy-Constrained Image Classification
D Stamoulis, TW Chin, AK Prakash, H Fang, S Sajja, M Bognar, ...
Proceedings of the International Conference on Computer-Aided Design, 2018
Adascale: Towards real-time video object detection using adaptive scaling
TW Chin, R Ding, D Marculescu
MLSys 2019: The Conference on Machine Learning and Systems, 2019
Layer-compensated pruning for resource-constrained convolutional neural networks
TW Chin, C Zhang, D Marculescu
NeurIPS 2018 Workshop MLPCD 2, 2018
Flying IoT: Toward low-power vision in the sky
H Genc, Y Zu, TW Chin, M Halpern, VJ Reddi
IEEE Micro 37 (6), 40-51, 2017
Understanding the impact of label granularity on cnn-based image classification
Z Chen, R Ding, TW Chin, D Marculescu
2018 IEEE international conference on data mining workshops (ICDMW), 895-904, 2018
Flightnns: Lightweight quantized deep neural networks for fast and accurate inference
R Ding, Z Liu, TW Chin, D Marculescu, RD Blanton
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
One Weight Bitwidth to Rule Them All
TW Chin, PIJ Chuang, V Chandra, D Marculescu
ECCV Workshops (Best paper in Embedded Vision Workshop), 2020
Domain-specific approximation for object detection
TW Chin, CL Yu, M Halpern, H Genc, SL Tsao, VJ Reddi
IEEE Micro 38 (1), 31-40, 2018
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks
TW Chin, AS Morcos, D Marculescu
ECML-PKDD (Research Track), 2021
Optimizing sensor-cloud architectures for real-time autonomous drone operation
H Genc, TW Chin, M Halpern, VJ Reddi
Sensors to Cloud Architectures Workshop (SCAW), 2017
Transfer learning
TW Chin, C Zhang
Computer Vision: A Reference Guide, 1269-1273, 2021
Width Transfer: On the (In) variance of Width Optimization
TW Chin, D Marculescu, AS Morcos
CVPR Workshops (Efficient Deep Learning for Computer Vision), 2021
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness
TW Chin, C Zhang, D Marculescu
CVPR Workshops (Best paper in Fair, Data Efficient and Trusted Computer Vision), 2021
Improving the accuracy of the leakage power estimation of embedded CPUs
TW Chin, SL Tsao, KW Hung, PS Huang
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
Play It Cool: Dynamic Shifting Prevents Thermal Throttling
Y Zhou, F Liang, T Chin, D Marculescu
arXiv preprint arXiv:2206.10849, 2022
ANT: Adapt Network Across Time for Efficient Video Processing
F Liang, TW Chin, Y Zhou, D Marculescu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
On Designing Resource-Constrained CNNs Efficiently
TW Chin
Carnegie Mellon University, 2021
Flexible, lightweight quantized deep neural networks
R Ding, Z Liu, TW Chin, D Marculescu, RD Blanton
US Patent App. 16/887,988, 2020
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