8 citations · 15 across the 4 of their papers we have counts for
4 papers
Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
Weidong Zhang, Pak Lun Kevin Ding, Huan Liu
Lightweight vision classification models such as MobileNet, ShuffleNet, and EfficientNet are increasingly deployed in mobile and embedded systems, yet their performance has been pr…
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition
Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou +1
Typical Magnetic Resonance Imaging (MRI) scan may take 20 to 60 minutes. Reducing MRI scan time is beneficial for both patient experience and cost considerations. Accelerated MRI s…
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval
Pak Lun Kevin Ding, Yikang Li, Baoxin Li
The research on hashing techniques for visual data is gaining increased attention in recent years due to the need for compact representations supporting efficient search/retrieval…
Training Neural Networks by Using Power Linear Units (PoLUs)
Yikang Li, Pak Lun Kevin Ding, Baoxin Li
In this paper, we introduce "Power Linear Unit" (PoLU) which increases the nonlinearity capacity of a neural network and thus helps improving its performance. PoLU adopts several a…