8 citations · 8 across the 2 of their papers we have counts for
5 papers
Towards Better Orthogonality Regularization with Disentangled Norm in Training Deep CNNs
Changhao Wu, Shenan Zhang, Fangsong Long +2
Orthogonality regularization has been developed to prevent deep CNNs from training instability and feature redundancy. Among existing proposals, kernel orthogonality regularization…
A Comprehensive Survey on Orbital Edge Computing: Systems, Applications, and Algorithms
Changhao Wu, Yuanchun Li, Mengwei Xu +4
The number of satellites, especially those operating in low-earth orbit (LEO), is exploding in recent years. Additionally, the use of COTS hardware into those satellites enables a…
Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering
Kai Wang, Maike Tong, Changhao Wu +4
The development of clustering heuristics has demonstrated that Bitcoin is not completely anonymous. Currently, existing clustering heuristics only consider confirmed transactions r…
Energy-Efficient Subchannel and Power Allocation for HetNets Based on Convolutional Neural Network
Di Xu, Xiaojing Che, Changhao Wu +3
Heterogeneous network (HetNet) has been proposed as a promising solution for handling the wireless traffic explosion in future fifth-generation (5G) system. In this paper, a joint…
How many labeled license plates are needed?
Changhao Wu, Shugong Xu, Guocong Song +1
Training a good deep learning model often requires a lot of annotated data. As a large amount of labeled data is typically difficult to collect and even more difficult to annotate,…