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