A Fast Dual Projected Newton Method for l1-Regularized Least Squares. - Pinghua Gong; Changshui Zhang (IJCAI, 2011)

Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection. - Pinghua Gong; Kun Gai; Changshui Zhang (Neurocomputing, 2011)

Efficient Multi-Stage Conjugate Gradient for Trust Region Step. - Pinghua Gong; Changshui Zhang (AAAI, 2012)

Learning similarity metric with SVM. - Xiaoqiang Zhu; Pinghua Gong; Zeng-Shun Zhao; Changshui Zhang (IJCNN, 2012)

Robust multi-task feature learning. - Pinghua Gong; Jieping Ye; Changshui Zhang (KDD, 2012)

Efficient Superimposition Recovering Algorithm - Han Li 005; Kun Gai; Pinghua Gong; Changshui Zhang (CoRR, 2012)

Efficient Nonnegative Matrix Factorization via projected Newton method. - Pinghua Gong; Changshui Zhang (Pattern Recognit., 2012)

Efficient blind separation of reflection layers with nonparametric transformations. - Han Li 005; Kun Gai; Pinghua Gong; Changshui Zhang (ICASSP, 2013)

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. - Pinghua Gong; Changshui Zhang; Zhaosong Lu; Jianhua Huang; Jieping Ye (ICML (2), 2013)

Multi-stage multi-task feature learning. - Pinghua Gong; Jieping Ye; Changshui Zhang (J. Mach. Learn. Res., 2013)

Efficient multi-task feature learning with calibration. - Pinghua Gong; Jiayu Zhou; Wei Fan 001; Jieping Ye (KDD, 2014)

Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity. - Pinghua Gong; Jieping Ye (CoRR, 2014)

A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis. - Pinghua Gong; Jieping Ye (ICML, 2015)

HONOR: Hybrid Optimization for NOn-convex Regularized problems. - Pinghua Gong; Jieping Ye (NIPS, 2015)

Robust Convex Clustering Analysis. - Qi Wang; Pinghua Gong; Shiyu Chang; Thomas S. Huang; Jiayu Zhou (ICDM, 2016)

Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression. - Zhi Nie; Pinghua Gong; Jieping Ye (KDD, 2016)

Absolute Fused Lasso and Its Application to Genome-Wide Association Studies. - Tao Yang 016; Jun Liu 003; Pinghua Gong; Ruiwen Zhang; Xiaotong Shen; Jieping Ye (KDD, 2016)

Multi-document summarization via group sparse learning. - Ruifang He; Jiliang Tang; Pinghua Gong; Qinghua Hu; Bo Wang 011 (Inf. Sci., 2016)

A Taxi Order Dispatch Model based On Combinatorial Optimization. - Lingyu Zhang 001; Tao Hu; Yue Min; Guobin Wu 001; Junying Zhang; Pengcheng Feng; Pinghua Gong; Jieping Ye (KDD, 2017)

Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. - Yashu Liu 001; Shuang Qiu; Ping Zhang 016; Pinghua Gong; Fei Wang 001; Guoliang Xue; Jieping Ye (SDM, 2017)

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. - Huaxiu Yao; Fei Wu 007; Jintao Ke; Xianfeng Tang; Yitian Jia; Siyu Lu; Pinghua Gong; Jieping Ye; Zhenhui Li (AAAI, 2018)

Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services. - Jintao Ke; Hai Yang 003; Hongyu Zheng; Xiqun Chen; Yitian Jia; Pinghua Gong; Jieping Ye (IEEE Trans. Intell. Transp. Syst., 2019)

AHINE: Adaptive Heterogeneous Information Network Embedding. - Yucheng Lin; Huiting Hong; Xiaoqing Yang; Pinghua Gong; Zang Li; Jieping Ye (ICKG, 2020)

Learning from Very Few Samples: A Survey. - Jiang Lu; Pinghua Gong; Jieping Ye; Changshui Zhang (CoRR, 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)

Constrained Reinforcement Learning for Short Video Recommendation. - Qingpeng Cai 001; Ruohan Zhan; Chi Zhang; Jie Zheng; Guangwei Ding; Pinghua Gong; Dong Zheng; Peng Jiang 002 (CoRR, 2022)

A survey on machine learning from few samples. - Jiang Lu; Pinghua Gong; Jieping Ye; Jianwei Zhang 001; Changshui Zhang (Pattern Recognit., 2023)