Pinghua Gong

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 14

Top Topics

Thresholding Algorithm

Top Venues

Publications

Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang
A survey on machine learning from few samples. Pattern Recognit. 139 (2023)
Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang
Constrained Reinforcement Learning for Short Video Recommendation. CoRR (2022)
Yucheng Lin, Huiting Hong, Xiaoqing Yang, Pinghua Gong, Zang Li, Jieping Ye
AHINE: Adaptive Heterogeneous Information Network Embedding. ICKG (2020)
Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang
Learning from Very Few Samples: A Survey. CoRR (2020)
Yucheng Lin, Huiting Hong, Xiaoqing Yang, Xiaodi Yang, Pinghua Gong, Jieping Ye
Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution. CoRR (2020)
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) (2019)
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 (2018)
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)
Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye
Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. SDM (2017)
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)
Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu, Bo Wang
Multi-document summarization via group sparse learning. Inf. Sci. (2016)
Zhi Nie, Pinghua Gong, Jieping Ye
Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression. KDD (2016)
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)
Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou
Robust Convex Clustering Analysis. ICDM (2016)
Pinghua Gong, Jieping Ye
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis. ICML (2015)
Pinghua Gong, Jieping Ye
HONOR: Hybrid Optimization for NOn-convex Regularized problems. NIPS (2015)
Pinghua Gong, Jieping Ye
Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity. CoRR (2014)
Pinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye
Efficient multi-task feature learning with calibration. KDD (2014)
Pinghua Gong, Jieping Ye, Changshui Zhang
Multi-stage multi-task feature learning. J. Mach. Learn. Res. 14 (1) (2013)
Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems CoRR (2013)
Han Li, Kun Gai, Pinghua Gong, Changshui Zhang
Efficient blind separation of reflection layers with nonparametric transformations. ICASSP (2013)
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)
Han Li, Kun Gai, Pinghua Gong, Changshui Zhang
Efficient Superimposition Recovering Algorithm CoRR (2012)
Pinghua Gong, Jieping Ye, Changshui Zhang
Multi-Stage Multi-Task Feature Learning. NIPS (2012)
Xiaoqiang Zhu, Pinghua Gong, Zeng-Shun Zhao, Changshui Zhang
Learning similarity metric with SVM. IJCNN (2012)
Pinghua Gong, Jieping Ye, Changshui Zhang
Robust multi-task feature learning. KDD (2012)
Pinghua Gong, Changshui Zhang
Efficient Nonnegative Matrix Factorization via projected Newton method. Pattern Recognit. 45 (9) (2012)
Pinghua Gong, Changshui Zhang
Efficient Multi-Stage Conjugate Gradient for Trust Region Step. AAAI (2012)
Pinghua Gong, Kun Gai, Changshui Zhang
Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection. Neurocomputing 74 (17) (2011)
Pinghua Gong, Changshui Zhang
-Regularized Least Squares. IJCAI (2011)