Pinghua Gong

According to our database1, Pinghua Gong authored at least 27 papers between 2011 and 2023.

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Bibliography

2023
A survey on machine learning from few samples.
Pattern Recognit., July, 2023

2022
Constrained Reinforcement Learning for Short Video Recommendation.
CoRR, 2022

2020
Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution.
CoRR, 2020

Learning from Very Few Samples: A Survey.
CoRR, 2020

AHINE: Adaptive Heterogeneous Information Network Embedding.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services.
IEEE Trans. Intell. Transp. Syst., 2019

2018
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Computational Drug Discovery with Dyadic Positive-Unlabeled Learning.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Taxi Order Dispatch Model based On Combinatorial Optimization.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Multi-document summarization via group sparse learning.
Inf. Sci., 2016

Absolute Fused Lasso and Its Application to Genome-Wide Association Studies.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Robust Convex Clustering Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
HONOR: Hybrid Optimization for NOn-convex Regularized problems.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity.
CoRR, 2014

Efficient multi-task feature learning with calibration.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Multi-stage multi-task feature learning.
J. Mach. Learn. Res., 2013

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems.
Proceedings of the 30th International Conference on Machine Learning, 2013

Efficient blind separation of reflection layers with nonparametric transformations.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Efficient Nonnegative Matrix Factorization via projected Newton method.
Pattern Recognit., 2012

Efficient Superimposition Recovering Algorithm
CoRR, 2012

Robust multi-task feature learning.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Learning similarity metric with SVM.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Efficient Multi-Stage Conjugate Gradient for Trust Region Step.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection.
Neurocomputing, 2011

A Fast Dual Projected Newton Method for l<sub>1</sub>-Regularized Least Squares.
Proceedings of the IJCAI 2011, 2011


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