Pinghua Gong

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A survey on machine learning from few samples.

Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang

Pattern Recognit., July, 2023

2022

Constrained Reinforcement Learning for Short Video Recommendation.

Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang

CoRR, 2022

2020

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

Yucheng Lin, Huiting Hong, Xiaoqing Yang, Xiaodi Yang, Pinghua Gong, Jieping Ye

CoRR, 2020

Learning from Very Few Samples: A Survey.

Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang

CoRR, 2020

AHINE: Adaptive Heterogeneous Information Network Embedding.

Yucheng Lin, Huiting Hong, Xiaoqing Yang, Pinghua Gong, Zang Li, Jieping Ye

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.

Jintao Ke, Hai Yang, Hongyu Zheng, Xiqun Chen, Yitian Jia, Pinghua Gong, Jieping Ye

IEEE Trans. Intell. Transp. Syst., 2019

2018

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

Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Computational Drug Discovery with Dyadic Positive-Unlabeled Learning.

Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Taxi Order Dispatch Model based On Combinatorial Optimization.

Lingyu Zhang, Tao Hu, Yue Min, Guobin Wu, Junying Zhang, Pengcheng Feng, Pinghua Gong, Jieping Ye

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.

Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu, Bo Wang

Inf. Sci., 2016

Absolute Fused Lasso and Its Application to Genome-Wide Association Studies.

Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye

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.

Zhi Nie, Pinghua Gong, Jieping Ye

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Robust Convex Clustering Analysis.

Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

HONOR: Hybrid Optimization for NOn-convex Regularized problems.

Pinghua Gong, Jieping Ye

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.

Pinghua Gong, Jieping Ye

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

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

Pinghua Gong, Jieping Ye

CoRR, 2014

Efficient multi-task feature learning with calibration.

Pinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Multi-stage multi-task feature learning.

Pinghua Gong, Jieping Ye, Changshui Zhang

J. Mach. Learn. Res., 2013

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

Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye

Proceedings of the 30th International Conference on Machine Learning, 2013

Efficient blind separation of reflection layers with nonparametric transformations.

Han Li, Kun Gai, Pinghua Gong, Changshui Zhang

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Efficient Nonnegative Matrix Factorization via projected Newton method.

Pinghua Gong, Changshui Zhang

Pattern Recognit., 2012

Efficient Superimposition Recovering Algorithm

Han Li, Kun Gai, Pinghua Gong, Changshui Zhang

CoRR, 2012

Robust multi-task feature learning.

Pinghua Gong, Jieping Ye, Changshui Zhang

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Learning similarity metric with SVM.

Xiaoqiang Zhu, Pinghua Gong, Zeng-Shun Zhao, Changshui Zhang

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Efficient Multi-Stage Conjugate Gradient for Trust Region Step.

Pinghua Gong, Changshui Zhang

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.

Pinghua Gong, Kun Gai, Changshui Zhang

Neurocomputing, 2011

A Fast Dual Projected Newton Method for l₁-Regularized Least Squares.

Pinghua Gong, Changshui Zhang

Proceedings of the IJCAI 2011, 2011