Ting-Wu Chin - RankMe

29 papers A* 3A 1Journal 16Unranked 8

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