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ORCIDTing-Wu Chin
Person information
- unicode name: 金廷武
- affiliation: Carnegie Mellon University, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
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2020 – today
- 2023
[j3]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): 33:1-33:21 (2023)- 2022
- [b1]Ting-Wu Chin:
On Designing Resource-Constrained CNNs Efficiently. Carnegie Mellon University, USA, 2022 - [c13]Feng Liang, Ting-Wu Chin, Yang Zhou, Diana Marculescu:
ANT: Adapt Network Across Time for Efficient Video Processing. CVPR Workshops 2022: 2602-2607 - [i14]Yang Zhou, Feng Liang, Ting-Wu Chin, Diana Marculescu:
Play It Cool: Dynamic Shifting Prevents Thermal Throttling. CoRR abs/2206.10849 (2022) - [i13]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 abs/2206.15463 (2022) - 2021
- [c12]Ting-Wu Chin, Diana Marculescu, Ari S. Morcos:
Width Transfer: On the (In)variance of Width Optimization. CVPR Workshops 2021: 2990-2999 - [c11]Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness. CVPR Workshops 2021: 3243-3252 - [c10]Ting-Wu Chin, Ari S. Morcos, Diana Marculescu:
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks. ECML/PKDD (3) 2021: 119-134 - [c9]Ting-Wu Chin, Dimitrios Stamoulis, Diana Marculescu:
Putting the "Machine" Back in Machine Learning for Engineering Students. Teaching ML 2021: 78-82 - [i12]Ting-Wu Chin, Diana Marculescu, Ari S. Morcos:
Width Transfer: On the (In)variance of Width Optimization. CoRR abs/2104.13255 (2021) - 2020
- [c8]Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
Towards Efficient Model Compression via Learned Global Ranking. CVPR 2020: 1515-1525 - [c7]Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu:
One Weight Bitwidth to Rule Them All. ECCV Workshops (5) 2020: 85-103 - [i11]Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation. CoRR abs/2002.02998 (2020) - [i10]Ting-Wu Chin, Ari S. Morcos, Diana Marculescu:
PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks. CoRR abs/2007.11752 (2020) - [i9]Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu:
One Weight Bitwidth to Rule Them All. CoRR abs/2008.09916 (2020)
2010 – 2019
- 2019
- [c6]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CVPR 2019: 11408-11417 - [c5]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: 200 - [c4]Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. SysML 2019 - [i8]Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu:
Understanding the Impact of Label Granularity on CNN-based Image Classification. CoRR abs/1901.07012 (2019) - [i7]Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling. CoRR abs/1902.02910 (2019) - [i6]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CoRR abs/1904.02823 (2019) - [i5]Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, Ronald D. Blanton:
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. CoRR abs/1904.02835 (2019) - [i4]Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
LeGR: Filter Pruning via Learned Global Ranking. CoRR abs/1904.12368 (2019) - 2018
- [j2]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): 31-40 (2018) - [c3]Dimitrios Stamoulis, Ting-Wu (Rudy) Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu:
Designing adaptive neural networks for energy-constrained image classification. ICCAD 2018: 23 - [c2]Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu:
Understanding the Impact of Label Granularity on CNN-Based Image Classification. ICDM Workshops 2018: 895-904 - [i3]Dimitrios Stamoulis, Ting-Wu (Rudy) Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu:
Designing Adaptive Neural Networks for Energy-Constrained Image Classification. CoRR abs/1808.01550 (2018) - [i2]Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks. CoRR abs/1810.00518 (2018) - [i1]Ting-Wu Chin, Chia-Lin Yu, Matthew Halpern, Hasan Genc, Shiao-Li Tsao, Vijay Janapa Reddi:
Domain Specific Approximation for Object Detection. CoRR abs/1810.02010 (2018) - 2017
- [j1]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): 40-51 (2017) - [c1]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: 1233-1236
Coauthor Index
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