@article {1751,
	title = {Data-Driven based Socioeconomic Status Analysis: A Survey},
	journal = {Computer Science},
	volume = {49},
	year = {2022},
	month = {04/2022},
	pages = {80-87},
	issn = {1002-137X},
	doi = {10.11896/jsjkx.211100014},
	url = {https://www.jsjkx.com/EN/Y2022/V49/I4/80},
	author = {Xiaoming Yao and Shichang Ding and Tao Zhao and Hong Huang and Jar-Der Luo and Xiaoming Fu}
}
@article {1724,
	title = {Core decomposition and maintenance in weighted graph},
	journal = {World Wide Web},
	volume = {24},
	year = {2021},
	month = {03/2021},
	pages = {541{\textendash}561},
	doi = {10.1007/s11280-020-00857-0},
	author = {Wei Zhou and Hong Huang and Qiang-Sheng Hua and Dongxiao Yu and Hai Jin and Xiaoming Fu}
}
@conference {1733,
	title = {Temporal Heterogeneous Information Network Embedding},
	booktitle = {The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021)},
	year = {2021},
	month = {08/2021},
	abstract = {<p>\&nbsp;</p>

<p>Heterogeneous information network (HIN) embedding, learning the low-dimensional representation of multi-type nodes, has been applied widely and achieved excellent performance. However, most of the previous works focus more on static heterogeneous networks or learning node embeddings within specific snapshots, and seldom attention has been paid to the whole evolution process and capturing all temporal dynamics. In order to fill the gap of obtaining multi-type node embeddings by considering all temporal dynamics during the evolution, we propose a novel temporal HIN embedding method (THINE). THINE not only uses attention mechanism and meta-path to preserve structures and semantics in HIN, but also combines the Hawkes process to simulate the evolution of temporal network. Our extensive evaluations with various real-world temporal HINs demonstrate that, THINE achieves state-of-the-art performance in both static and dynamic tasks, including node classification, link prediction, and temporal link recommendation.</p>
},
	author = {Hong Huang and Ruize Shi and Wei Zhou and Xiao Wang and Hai Jin and Xiaoming Fu}
}
@article {1683,
	title = {Predicting Individual Socioeconomic Status from Mobile Phone Data: A Semi-supervised Hypergraph-based Factor Graph Approach},
	journal = {International Journal of Data Science and Analytics (Springer Verlag)},
	volume = {9},
	year = {2020},
	month = {04/2020},
	pages = {361-372},
	issn = { 2364-415X},
	doi = {https://doi.org/10.1007/s41060-019-00195-z},
	author = {Tao Zhao and Hong Huang and Xiaoming Yao and Jar-Der Luo and Xiaoming Fu}
}
@conference {1645,
	title = {A comparative analysis of school pupils{\textquoteright} daily habits in Germany and China},
	booktitle = {{IEEE} {INFOCOM} 2018 - {IEEE} Conference on Computer Communications Workshops, {INFOCOM} Workshops 2018, Honolulu, HI, USA, April 15-19, 2018},
	year = {2018},
	doi = {10.1109/INFCOMW.2018.8407029},
	url = {https://doi.org/10.1109/INFCOMW.2018.8407029},
	author = {Xiaoming Fu and Hong Huang and Xiang-Yang Li and Haisheng Tan and Jie Tang}
}
@conference {DBLP:conf/www/HuangZZZWYWJ018,
	title = {A Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data},
	booktitle = {Proceedings of the 2018 World Wide Web Conference on World Wide Web, {WWW} 2018, Lyon, France, April 23-27, 2018},
	year = {2018},
	pages = {1785{\textendash}1794},
	publisher = {{ACM}},
	organization = {{ACM}},
	doi = {10.1145/3178876.3186169},
	url = {http://doi.acm.org/10.1145/3178876.3186169},
	author = {Hong Huang and Bo Zhao and Hao Zhao and Zhou Zhuang and Zhenxuan Wang and Xiaoming Yao and Xinggang Wang and Hai Jin and Xiaoming Fu},
	editor = {Pierre-Antoine Champin and Fabien L. Gandon and Mounia Lalmas and Panagiotis G. Ipeirotis}
}
@conference {DBLP:conf/dasfaa/ZhaoHF18,
	title = {Identifying Topical Opinion Leaders in Social Community Question Answering},
	booktitle = {23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018), Gold Coast, QLD, Australia},
	series = {Lecture Notes in Computer Science},
	volume = {10827},
	year = {2018},
	month = {05/2018},
	pages = {372{\textendash}387},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-91452-7\_25},
	url = {https://doi.org/10.1007/978-3-319-91452-7\_25},
	author = {Tao Zhao and Hong Huang and Xiaoming Fu},
	editor = {Jian Pei and Yannis Manolopoulos and Shazia W. Sadiq and Jianxin Li}
}
@conference {1647,
	title = {A Preliminary Study of E-Commerce User Behavior Based on Mobile Big Data - Invited Paper},
	booktitle = {87th {IEEE} Vehicular Technology Conference, {VTC} Spring 2018, Porto, Portugal, June 3-6, 2018},
	year = {2018},
	doi = {10.1109/VTCSpring.2018.8417710},
	url = {https://doi.org/10.1109/VTCSpring.2018.8417710},
	author = {Bo Zhao and Hong Huang and Jarder Luo and Xinggang Wang and Xiaoming Yao and Ramin Yahyapour and Zhenxuan Wang and Xiaoming Fu}
}
@article {DBLP:journals/tkdd/HuangDTYCF18,
	title = {Will Triadic Closure Strengthen Ties in Social Networks?},
	journal = {ACM Transactions on Knowledge Discovery from Data (TKDD)},
	volume = {12},
	number = {3},
	year = {2018},
	month = {04/2018},
	pages = {30:1{\textendash}30:25},
	doi = {10.1145/3154399},
	url = {http://doi.acm.org/10.1145/3154399},
	author = {Hong Huang and Yuxiao Dong and Jie Tang and Hongxia Yang and Nitesh V. Chawla and Xiaoming Fu}
}
@article {DBLP:journals/tkde/HuangTLLF15,
	title = {Triadic Closure Pattern Analysis and Prediction in Social Networks},
	journal = {{IEEE} Trans. Knowl. Data Eng.},
	volume = {27},
	number = {12},
	year = {2015},
	pages = {3374{\textendash}3389},
	doi = {10.1109/TKDE.2015.2453956},
	url = {https://doi.org/10.1109/TKDE.2015.2453956},
	author = {Hong Huang and Jie Tang and Lu Liu and Jarder Luo and Xiaoming Fu}
}
@conference {DBLP:conf/www/HuangTWLf14,
	title = {Mining triadic closure patterns in social networks},
	booktitle = {23rd International World Wide Web Conference, {WWW} {\textquoteright}14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume},
	year = {2014},
	pages = {499{\textendash}504},
	publisher = {{ACM}},
	organization = {{ACM}},
	doi = {10.1145/2567948.2576940},
	url = {http://doi.acm.org/10.1145/2567948.2576940},
	author = {Hong Huang and Jie Tang and Sen Wu and Lu Liu and Xiaoming Fu},
	editor = {Chin-Wan Chung and Andrei Z. Broder and Kyuseok Shim and Torsten Suel}
}
