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

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cs.LG2022

A Spatial-Temporal Attention Multi-Graph Convolution Network for Ride-Hailing Demand Prediction Based on Periodicity with Offset

Dong Xing, Chenguang Zhao, Gang Wang

Ride-hailing service is becoming a leading part in urban transportation. To improve the efficiency of ride-hailing service, accurate prediction of transportation demand is a fundam…

cs.LG2018

Real-time Power System State Estimation and Forecasting via Deep Neural Networks

Liang Zhang, Gang Wang, Georgios B. Giannakis

Contemporary power grids are being challenged by rapid voltage fluctuations that are caused by large-scale deployment of renewable generation, electric vehicles, and demand respons…

cs.LG2018

Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets

Jia Chen, Gang Wang, Georgios B. Giannakis

Principal component analysis (PCA) is widely used for feature extraction and dimensionality reduction, with documented merits in diverse tasks involving high-dimensional data. Stan…

cs.LG20186 cited

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Jason Kuen, Xiangfei Kong, Zhe Lin +4

It is desirable to train convolutional networks (CNNs) to run more efficiently during inference. In many cases however, the computational budget that the system has for inference c…

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.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…