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2020 – today
- 2023
[j6]Jiang Lu
, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang:
A survey on machine learning from few samples. Pattern Recognit. 139: 109480 (2023)- 2022
- [i7]Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang:
Constrained Reinforcement Learning for Short Video Recommendation. CoRR abs/2205.13248 (2022) - 2020
- [c17]Yucheng Lin, Huiting Hong, Xiaoqing Yang, Pinghua Gong, Zang Li, Jieping Ye:
AHINE: Adaptive Heterogeneous Information Network Embedding. ICKG 2020: 100-107 - [i6]Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang:
Learning from Very Few Samples: A Survey. CoRR abs/2009.02653 (2020) - [i5]Yucheng Lin, Huiting Hong, Xiaoqing Yang, Xiaodi Yang, Pinghua Gong, Jieping Ye:
Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution. CoRR abs/2010.04554 (2020)
2010 – 2019
- 2019
- [j5]Jintao Ke, Hai Yang, Hongyu Zheng, Xiqun Chen, Yitian Jia, Pinghua Gong, Jieping Ye:
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services. IEEE Trans. Intell. Transp. Syst. 20(11): 4160-4173 (2019) - 2018
- [c16]Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li:
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. AAAI 2018: 2588-2595 - [i4]Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li:
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. CoRR abs/1802.08714 (2018) - 2017
- [c15]Lingyu Zhang, Tao Hu, Yue Min, Guobin Wu, Junying Zhang, Pengcheng Feng, Pinghua Gong, Jieping Ye:
A Taxi Order Dispatch Model based On Combinatorial Optimization. KDD 2017: 2151-2159 - [c14]Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye:
Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. SDM 2017: 45-53 - 2016
- [j4]Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu, Bo Wang:
Multi-document summarization via group sparse learning. Inf. Sci. 349-350: 12-24 (2016) - [c13]Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou:
Robust Convex Clustering Analysis. ICDM 2016: 1263-1268 - [c12]Zhi Nie, Pinghua Gong, Jieping Ye:
Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression. KDD 2016: 1795-1804 - [c11]Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye:
Absolute Fused Lasso and Its Application to Genome-Wide Association Studies. KDD 2016: 1955-1964 - 2015
- [c10]Pinghua Gong, Jieping Ye:
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis. ICML 2015: 276-284 - [c9]Pinghua Gong, Jieping Ye:
HONOR: Hybrid Optimization for NOn-convex Regularized problems. NIPS 2015: 415-423 - 2014
- [c8]Pinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye:
Efficient multi-task feature learning with calibration. KDD 2014: 761-770 - [i3]Pinghua Gong, Jieping Ye:
Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity. CoRR abs/1406.1102 (2014) - 2013
- [j3]Pinghua Gong, Jieping Ye, Changshui Zhang:
Multi-stage multi-task feature learning. J. Mach. Learn. Res. 14(1): 2979-3010 (2013) - [c7]Han Li, Kun Gai, Pinghua Gong, Changshui Zhang:
Efficient blind separation of reflection layers with nonparametric transformations. ICASSP 2013: 1641-1645 - [c6]Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye:
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. ICML (2) 2013: 37-45 - [i2]Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye:
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. CoRR abs/1303.4434 (2013) - 2012
- [j2]Pinghua Gong, Changshui Zhang:
Efficient Nonnegative Matrix Factorization via projected Newton method. Pattern Recognit. 45(9): 3557-3565 (2012) - [c5]Pinghua Gong, Changshui Zhang:
Efficient Multi-Stage Conjugate Gradient for Trust Region Step. AAAI 2012: 921-928 - [c4]Xiaoqiang Zhu, Pinghua Gong, Zeng-Shun Zhao, Changshui Zhang:
Learning similarity metric with SVM. IJCNN 2012: 1-8 - [c3]Pinghua Gong, Jieping Ye, Changshui Zhang:
Robust multi-task feature learning. KDD 2012: 895-903 - [c2]Pinghua Gong, Jieping Ye, Changshui Zhang:
Multi-Stage Multi-Task Feature Learning. NIPS 2012: 1997-2005 - [i1]Han Li, Kun Gai, Pinghua Gong, Changshui Zhang:
Efficient Superimposition Recovering Algorithm. CoRR abs/1211.4307 (2012) - 2011
- [j1]Pinghua Gong, Kun Gai, Changshui Zhang:
Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection. Neurocomputing 74(17): 2754-2766 (2011) - [c1]Pinghua Gong, Changshui Zhang:
A Fast Dual Projected Newton Method for l1-Regularized Least Squares. IJCAI 2011: 1275-1280
Coauthor Index
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