Pinghua Gong - RankMe

32 papers A* 10A 1B 1Misc 1Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OCP: Orthogonal Constrained Projection for Sparse Scaling in Industrial Commodity Recommendation. CoRR Chen Sun, Beilin Xu, Boheng Tan, Jiacheng Wang, Yuefeng Sun, Rite Bo, Ying He, Yaqiang Zang, Pinghua Gong
2025	J	`jnl`	OxygenREC: An Instruction-Following Generative Framework for E-commerce Recommendation. CoRR Xuegang Hao, Ming Zhang, Alex Li, Xiangyu Qian, Zhi Ma, Yanlong Zang, Shijie Yang, Zhongxuan Han, Xiaolong Ma, Jinguang Liu, Zhen Li, Zhida Jiang, Shusheng Wang, Ning Tang, Yanchen Qiao, Chenxiang Yang, Chen Sun, Jincheng Yuan, Chunhua Peng, Heng Hu, Peijun Yang, Baopeng Yuan, Caiyun Qiu, Zhaolong Xing, Haofei Yuan, Haipeng Zhang, Yuzhang Guo, Weijie Ding, Jiahua Gao, Hao Huang, Zhen Chen, Tongxuan Liu, Pinghua Gong
2023	J	`jnl`	A survey on machine learning from few samples. Pattern Recognit. Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang
2022	J	`jnl`	Constrained Reinforcement Learning for Short Video Recommendation. CoRR Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang
2020	—	`conf`	AHINE: Adaptive Heterogeneous Information Network Embedding. ICKG Yucheng Lin, Huiting Hong, Xiaoqing Yang, Pinghua Gong, Zang Li, Jieping Ye
2020	J	`jnl`	Learning from Very Few Samples: A Survey. CoRR Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang
2020	J	`jnl`	Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution. CoRR Yucheng Lin, Huiting Hong, Xiaoqing Yang, Xiaodi Yang, Pinghua Gong, Jieping Ye
2019	J	`jnl`	Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services. IEEE Trans. Intell. Transp. Syst. Jintao Ke, Hai Yang, Hongyu Zheng, Xiqun Chen, Yitian Jia, Pinghua Gong, Jieping Ye
2018	A*	`conf`	Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. AAAI Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018	J	`jnl`	Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. CoRR Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2017	A*	`conf`	A Taxi Order Dispatch Model based On Combinatorial Optimization. KDD Lingyu Zhang, Tao Hu, Yue Min, Guobin Wu, Junying Zhang, Pengcheng Feng, Pinghua Gong, Jieping Ye
2017	A	`conf`	Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. SDM Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye
2016	A*	`conf`	Absolute Fused Lasso and Its Application to Genome-Wide Association Studies. KDD Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye
2016	J	`jnl`	Multi-document summarization via group sparse learning. Inf. Sci. Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu, Bo Wang
2016	A*	`conf`	Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression. KDD Zhi Nie, Pinghua Gong, Jieping Ye
2016	A*	`conf`	Robust Convex Clustering Analysis. ICDM Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou
2015	A*	`conf`	A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis. ICML Pinghua Gong, Jieping Ye
2015	—	`conf`	HONOR: Hybrid Optimization for NOn-convex Regularized problems. NIPS Pinghua Gong, Jieping Ye
2014	A*	`conf`	Efficient multi-task feature learning with calibration. KDD Pinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye
2014	J	`jnl`	Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity. CoRR Pinghua Gong, Jieping Ye
2013	J	`jnl`	A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems CoRR Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye
2013	—	`conf`	A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. ICML (2) Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye
2013	Misc	`conf`	Efficient blind separation of reflection layers with nonparametric transformations. ICASSP Han Li, Kun Gai, Pinghua Gong, Changshui Zhang
2013	J	`jnl`	Multi-stage multi-task feature learning. J. Mach. Learn. Res. Pinghua Gong, Jieping Ye, Changshui Zhang
2012	A*	`conf`	Efficient Multi-Stage Conjugate Gradient for Trust Region Step. AAAI Pinghua Gong, Changshui Zhang
2012	J	`jnl`	Efficient Nonnegative Matrix Factorization via projected Newton method. Pattern Recognit. Pinghua Gong, Changshui Zhang
2012	J	`jnl`	Efficient Superimposition Recovering Algorithm CoRR Han Li, Kun Gai, Pinghua Gong, Changshui Zhang
2012	B	`conf`	Learning similarity metric with SVM. IJCNN Xiaoqiang Zhu, Pinghua Gong, Zeng-Shun Zhao, Changshui Zhang
2012	—	`conf`	Multi-Stage Multi-Task Feature Learning. NIPS Pinghua Gong, Jieping Ye, Changshui Zhang
2012	A*	`conf`	Robust multi-task feature learning. KDD Pinghua Gong, Jieping Ye, Changshui Zhang
2011	A*	`conf`	A Fast Dual Projected Newton Method for l IJCAI Pinghua Gong, Changshui Zhang
2011	J	`jnl`	Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection. Neurocomputing Pinghua Gong, Kun Gai, Changshui Zhang