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Jieping Ye
- > Home > Persons > Jieping Ye
Publications
- 2023
- [j126]Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang:
A survey on machine learning from few samples. Pattern Recognit. 139: 109480 (2023) - 2020
- [c228]Yucheng Lin, Huiting Hong, Xiaoqing Yang, Pinghua Gong, Zang Li, Jieping Ye:
AHINE: Adaptive Heterogeneous Information Network Embedding. ICKG 2020: 100-107 - [i67]Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang:
Learning from Very Few Samples: A Survey. CoRR abs/2009.02653 (2020) - [i66]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) - 2019
- [j94]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
- [c188]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 - [i37]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
- [c161]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 - [c158]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
- [c147]Zhi Nie, Pinghua Gong, Jieping Ye:
Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression. KDD 2016: 1795-1804 - [c146]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
- [c137]Pinghua Gong, Jieping Ye:
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis. ICML 2015: 276-284 - [c123]Pinghua Gong, Jieping Ye:
HONOR: Hybrid Optimization for NOn-convex Regularized problems. NIPS 2015: 415-423 - 2014
- [c106]Pinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye:
Efficient multi-task feature learning with calibration. KDD 2014: 761-770 - [i17]Pinghua Gong, Jieping Ye:
Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity. CoRR abs/1406.1102 (2014) - 2013
- [j59]Pinghua Gong, Jieping Ye, Changshui Zhang:
Multi-stage multi-task feature learning. J. Mach. Learn. Res. 14(1): 2979-3010 (2013) - [c99]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 - [i13]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
- [c80]Pinghua Gong, Jieping Ye, Changshui Zhang:
Robust multi-task feature learning. KDD 2012: 895-903 - [c75]Pinghua Gong, Jieping Ye, Changshui Zhang:
Multi-Stage Multi-Task Feature Learning. NIPS 2012: 1997-2005
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