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
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
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
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
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks
TW Chin, AS Morcos, D Marculescu
ECML-PKDD (Research Track), 2021
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
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
Towards efficient model compression via learned global ranking. 2020 IEEE
TW Chin, R Ding, C Zhang, D Marculescu
CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1515-1525, 2020
Width Transfer: On the (In) variance of Width Optimization
TW Chin, D Marculescu, AS Morcos
CVPR Workshops (Efficient Deep Learning for Computer Vision), 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
QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration
A Inci, S Virupaksha, A Jain, TW Chin, V Thallam, R Ding, D Marculescu
ACM Transactions on Embedded Computing Systems 22 (2), 1-21, 2023
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
Flexible, lightweight quantized deep neural networks
R Ding, Z Liu, TW Chin, D Marculescu, RD Blanton
US Patent 11,521,074, 2022
Transfer Learning
TW Chin, C Zhang
Computer Vision: A Reference Guide, 1269-1273, 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
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