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Xiaolin Li
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Publications
- 2023
- [j68]Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong:
Automated Feature Selection: A Reinforcement Learning Perspective. IEEE Trans. Knowl. Data Eng. 35(3): 2272-2284 (2023) - 2022
- [c63]Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu:
Semi-supervised Drifted Stream Learning with Short Lookback. KDD 2022: 1504-1513 - [c62]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin:
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. KDD 2022: 1826-1834 - [i11]Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu:
Semi-supervised Drifted Stream Learning with Short Lookback. CoRR abs/2205.13066 (2022) - [i10]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin:
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. CoRR abs/2205.14526 (2022) - 2021
- [j45]Pengyang Wang, Xiaolin Li, Yu Zheng, Charu Aggarwal, Yanjie Fu:
Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies. IEEE Trans. Knowl. Data Eng. 33(2): 728-741 (2021) - 2020
- [c46]Kunpeng Liu, Xiaolin Li, Cliff C. Zou, Haibo Huang, Yanjie Fu:
Ambulance Dispatch via Deep Reinforcement Learning. SIGSPATIAL/GIS 2020: 123-126 - [c44]Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua:
Exploiting Mutual Information for Substructure-aware Graph Representation Learning. IJCAI 2020: 3415-3421 - [c43]Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu:
Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams. KDD 2020: 853-861 - 2019
- [j34]Xiaolin Li, Yuan Zhuang, Yanjie Fu, Xiangdong He:
A trust-aware random walk model for return propensity estimation and consumer anomaly scoring in online shopping. Sci. China Inf. Sci. 62(5): 52101:1-52101:17 (2019) - [c39]Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li:
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. AAAI 2019: 906-913 - [c35]Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li:
Adversarial Substructured Representation Learning for Mobile User Profiling. KDD 2019: 130-138 - [c34]Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li:
Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. KDD 2019: 207-215 - [c33]Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng:
Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning. KDD 2019: 1700-1708 - 2018
- [j18]Yanjie Fu, Junming Liu, Xiaolin Li, Hui Xiong:
A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis. ACM Trans. Intell. Syst. Technol. 9(4): 40:1-40:24 (2018) - [j17]Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li, Dan Lin:
Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs. ACM Trans. Intell. Syst. Technol. 9(6): 63:1-63:28 (2018) - [c28]Xin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Shuli Hu, Minghao Yin:
Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data. ICDM 2018: 647-656 - 2017
- [j16]Chu Guan, Yanjie Fu, Xinjiang Lu, Enhong Chen, Xiaolin Li, Hui Xiong:
Efficient karaoke song recommendation via multiple kernel learning approximation. Neurocomputing 254: 22-32 (2017) - 2016
- [j8]Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Xiaolin Li, Guoqing Chen:
Fused latent models for assessing product return propensity in online commerce. Decis. Support Syst. 91: 77-88 (2016) - [c19]Yanjie Fu, Junming Liu, Xiaolin Li, Xinjiang Lu, Jingci Ming, Chu Guan, Hui Xiong:
Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective. ICDM 2016: 877-882
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