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
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2492018
Robust Multi-Task Feature Learning
P Gong, J Ye, C Zhang
The 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2012
2352012
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
2052013
Lasso screening rules via dual polytope projection
J Wang, B Lin, P Gong, P Wonka, J Ye
arXiv preprint arXiv:1211.3966, 2012
1452012
Multi-stage multi-task feature learning
P Gong, J Ye, C Zhang
The Journal of Machine Learning Research 14 (1), 2979-3010, 2013
1142013
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
732017
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
382014
Efficient Nonnegative Matrix Factorization via projected Newton method
P Gong, C Zhang
Pattern Recognition 45 (9), 3557-3565, 2012
282012
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
262014
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
222011
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
182018
Multi-document summarization via group sparse learning
R He, J Tang, P Gong, Q Hu, B Wang
Information Sciences 349, 12-24, 2016
172016
Linear convergence of variance-reduced stochastic gradient without strong convexity
P Gong, J Ye
arXiv preprint arXiv:1406.1102, 2014
17*2014
A modified orthant-wise limited memory quasi-Newton method with convergence analysis
P Gong, J Ye
International Conference on Machine Learning, 276-284, 2015
142015
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
122016
HONOR: Hybrid Optimization for NOn-convex regularized problems
P Gong, J Ye
Advances in Neural Information Processing Systems, 415-423, 2015
122015
Learning Similarity Metric with SVM
X Zhu, P Gong, Z Zhao, C Zhang
The 2012 International Joint Conference on Neural Networks (IJCNN), 2012
122012
A fast dual projected newton method for l1-regularized least squares
P Gong, C Zhang
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
9*2011
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
82018
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
82017
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