Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

Huaxiu Yao, Fei Wu, Jintao Ke, +6

Proceedings of the AAAI Conference on Artificial Intelligence

Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningData Science +11

Robust multi-task feature learning

Pinghua Gong, Jieping Ye, Changshui Zhang

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

Huaxiu Yao, Fei Wu, Jintao Ke, +6

arXiv (Cornell University)

Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningData Science +11

A Taxi Order Dispatch Model based On Combinatorial Optimization

Lingyu Zhang, Tao Hu, Min Yue, +5

Mathematical ProgrammingTransport Network AnalysisEngineeringOn-demand TransportOperations Research +16

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems.

Pinghua Gong, Changshui Zhang, Zhaosong Lu, +2

PubMed

Numerical AnalysisMathematical ProgrammingEngineeringMachine LearningUnconstrained Optimization +17

Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services

Jintao Ke, Hai Yang, Hongyu Zheng, +4

IEEE Transactions on Intelligent Transportation Systems

Transport Network AnalysisForecasting MethodologyEngineeringMachine LearningRide-sourcing Services +20

Multi-Stage Multi-Task Feature Learning

Pinghua Gong, Jieping Ye, Changshui Zhang

arXiv (Cornell University)

Artificial IntelligenceMultiple Instance LearningEngineeringMachine LearningNovel Non-convex Regularizer +15

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

Pinghua Gong, Changshui Zhang, Zhaosong Lu, +2

arXiv (Cornell University)

Mathematical ProgrammingNumerical AnalysisEngineeringMachine LearningUnconstrained Optimization +18

A survey on machine learning from few samples

Jiang Lu, Pinghua Gong, Jieping Ye, +2

Pattern Recognition

Data ClassificationEngineeringMachine LearningData ScienceData Mining +5

Efficient multi-task feature learning with calibration

Pinghua Gong, Jiayu Zhou, Wei Fan, +1

Multiple Instance LearningEngineeringMachine LearningEfficient Multi-task FeatureMulti-task Feature Learning +15