activity
20092022
most citedNTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

1.8k citations · 2k across the 26 of their papers we have counts for

collaborators
Showing 2017Show all

7 papers · 1 filter

cs.LG2017

DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets

Gang Wang, Jia Chen, Georgios B. Giannakis

Principal component analysis (PCA) has well-documented merits for data extraction and dimensionality reduction. PCA deals with a single dataset at a time, and it is challenged when…

cs.NE2017

A Novel Neural Network Model Specified for Representing Logical Relations

Gang Wang

With computers to handle more and more complicated things in variable environments, it becomes an urgent requirement that the artificial intelligence has the ability of automatic j…

cs.CV20175 cited

Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation

Abrar H. Abdulnabi, Stefan Winkler, Gang Wang

Recent deep CNNs contain forward shortcut connections; i.e. skip connections from low to high layers. Reusing features from lower layers that have higher resolution (location infor…

cs.CV20179 cited

Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates

Jun Liu, Amir Shahroudy, Dong Xu +2

Skeleton-based human action recognition has attracted a lot of research attention during the past few years. Recent works attempted to utilize recurrent neural networks to model th…

cs.CR20173 cited

Empirical Analysis of Password Reuse and Modification across Online Service

Chun Wang, Steve T. K. Jan, Hang Hu +1

Leaked passwords from data breaches can pose a serious threat to users if the password is reused elsewhere. With more online services getting breached today, there is still a lack…

cs.LG201715 cited

Reinforcement Learning for Learning Rate Control

Chang Xu, Tao Qin, Gang Wang +1

Stochastic gradient descent (SGD), which updates the model parameters by adding a local gradient times a learning rate at each step, is widely used in model training of machine lea…