Pinghua Gong
Title
Cited by
Cited by
Year
Deep multi-view spatial-temporal network for taxi demand prediction
H Yao, F Wu, J Ke, X Tang, Y Jia, S Lu, P Gong, J Ye, Z Li
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
3662018
Robust Multi-Task Feature Learning
P Gong, J Ye, C Zhang
The 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2012
2432012
A general iterative shrinkage and thresholding algorithm for non-convex regularized optimization problems
P Gong, C Zhang, Z Lu, J Huang, J Ye
The 30th International Conference on Machine Learning (ICML), 37-45, 2013
2282013
Lasso screening rules via dual polytope projection
J Wang, B Lin, P Gong, P Wonka, J Ye
arXiv preprint arXiv:1211.3966, 2012
1602012
Multi-stage multi-task feature learning
P Gong, J Ye, C Zhang
The Journal of Machine Learning Research 14 (1), 2979-3010, 2013
1202013
A taxi order dispatch model based on combinatorial optimization
L Zhang, T Hu, Y Min, G Wu, J Zhang, P Feng, P Gong, J Ye
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
962017
Efficient multi-task feature learning with calibration
P Gong, J Zhou, W Fan, J Ye
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
402014
Hexagon-based convolutional neural network for supply-demand forecasting of ride-sourcing services
J Ke, H Yang, H Zheng, X Chen, Y Jia, P Gong, J Ye
IEEE Transactions on Intelligent Transportation Systems 20 (11), 4160-4173, 2018
312018
Hierarchical interactions model for predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) conversion
H Li, Y Liu, P Gong, C Zhang, J Ye, ...
PloS one 9 (1), e82450, 2014
312014
Efficient Nonnegative Matrix Factorization via projected Newton method
P Gong, C Zhang
Pattern Recognition 45 (9), 3557-3565, 2012
302012
Efficient euclidean projections via piecewise root finding and its application in gradient projection
P Gong, K Gai, C Zhang
Neurocomputing 74 (17), 2754-2766, 2011
262011
Linear convergence of variance-reduced stochastic gradient without strong convexity
P Gong, J Ye
arXiv preprint arXiv:1406.1102, 2014
21*2014
Multi-document summarization via group sparse learning
R He, J Tang, P Gong, Q Hu, B Wang
Information Sciences 349, 12-24, 2016
182016
A modified orthant-wise limited memory quasi-Newton method with convergence analysis
P Gong, J Ye
International Conference on Machine Learning, 276-284, 2015
152015
Robust convex clustering analysis
Q Wang, P Gong, S Chang, TS Huang, J Zhou
2016 IEEE 16th International Conference on Data Mining (ICDM), 1263-1268, 2016
132016
HONOR: Hybrid optimization for non-convex regularized problems
P Gong, J Ye
Advances in Neural Information Processing Systems 28, 415-423, 2015
132015
Learning Similarity Metric with SVM
X Zhu, P Gong, Z Zhao, C Zhang
The 2012 International Joint Conference on Neural Networks (IJCNN), 2012
132012
Big data analytical approaches to the NACC dataset: aiding preclinical trial enrichment
M Lin, P Gong, T Yang, J Ye, RL Albin, HH Dodge
Alzheimer disease and associated disorders 32 (1), 18, 2018
122018
Computational drug discovery with dyadic positive-unlabeled learning
Y Liu, S Qiu, P Zhang, P Gong, F Wang, G Xue, J Ye
Proceedings of the 2017 SIAM International Conference on Data Mining, 45-53, 2017
92017
Linear convergence of variance-reduced projected stochastic gradient without strong convexity
P Gong, J Ye
arXiv preprint arXiv:1406.1102 116, 2014
92014
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Articles 1–20