@article {193,
	title = {Finding Critical Users in Social Communities via Graph Convolutions},
	journal = {IEEE Trans. Knowl. Data Eng.},
	volume = {35},
	year = {2023},
	pages = {456{\textendash}468},
	doi = {10.1109/TKDE.2021.3089763},
	url = {https://doi.org/10.1109/TKDE.2021.3089763},
	author = {Kangfei Zhao and Zhiwei Zhang and Yu Rong and Jeffrey Xu Yu and Junzhou Huang}
}
@article {185,
	title = {Learned sketch for subgraph counting: a holistic approach},
	journal = {The VLDB Journal},
	year = {2023},
	pages = {1{\textendash}26},
	author = {Zhao, Kangfei and Yu, Jeffrey Xu and Li, Qiyan and Zhang, Hao and Rong, Yu}
}
@article {184,
	title = {Learning with small data: subgraph counting queries},
	journal = {Data Science and Engineering},
	year = {2023},
	pages = {1{\textendash}14},
	author = {Zhao, Kangfei and He, Zongyan and Yu, Jeffrey Xu and Rong, Yu}
}
@conference {174,
	title = {Graph Ordering: Towards the Optimal by Learning},
	booktitle = {WISE},
	year = {2021},
	pages = {423-437},
	author = {Kangfei Zhao and Yu Rong and Jeffrey Xu Yu and Wenbing Huang and Junzhou Huang and Hao Zhang}
}
@conference {172,
	title = {A Learned Sketch for Subgraph Counting},
	booktitle = {SIGMOD},
	year = {2021},
	pages = {2142-2155},
	author = {Kangfei Zhao and Jeffrey Xu Yu and Hao Zhang and Qiyan Li and Yu Rong}
}
@conference {171,
	title = {Towards Expectation-Maximization by SQL in RDBMS},
	booktitle = {DASFAA},
	year = {2021},
	pages = {778-794},
	author = {Kangfei Zhao and Jeffrey Xu Yu and Yu Rong and Ming Liao and Junzhou Huang}
}
@conference {173,
	title = {Towards Feature-free TSP Solver Selection: A Deep Learning Approach},
	booktitle = {IJCNN},
	year = {2021},
	pages = {1-8},
	author = {Kangfei Zhao and Shanghai Liu and Jeffrey Xu Yu and Yu Rong}
}
@conference {165,
	title = {Adversarial Attack on Community Detection by Hiding Individuals},
	booktitle = {WWW},
	year = {2020},
	pages = {917-927},
	author = {Jia Li and Honglei Zhang and Zhichao Han and Yu Rong and Hong Cheng and Junzhou Huang}
}
@conference {164,
	title = {Dirichlet Graph Variational Autoencoder},
	booktitle = {NeurIPS},
	year = {2020},
	author = {Jia Li and Jianwei Yu and Jiajin Li and Honglei Zhang and Kangfei Zhao and Yu Rong and Hong Cheng and Junzhou Huang}
}
@conference {162,
	title = {Maximizing the Reduction Ability for Near-maximum Independent Set Computation},
	booktitle = {PVLDB},
	year = {2020},
	pages = {2466-2478},
	author = {Chenzhi Piao and Weiguo Zheng and Yu Rong and Hong Cheng}
}
@conference {169,
	title = {Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.},
	booktitle = {WWW},
	year = {2019},
	pages = {972-982},
	author = {Jia Li and Yu Rong and Hong Cheng and Helen Meng and Wen-bin Huang and Junzhou Huang}
}
@conference {156,
	title = {Minimizing Dependence between Graphs},
	booktitle = {Proceedings of the 2017 {ACM} on Conference on Information and Knowledge Management, {CIKM} 2017, Singapore, November 06 - 10, 2017},
	year = {2017},
	pages = {1827{\textendash}1836},
	author = {Yu Rong and Hong Cheng}
}
@conference {133,
	title = {A Model-Free Approach to Infer the Diffusion Network from Event Cascade},
	booktitle = {Proceedings of the 25th {ACM} International on Conference on Information and Knowledge Management, {CIKM} 2016, Indianapolis, IN, USA, October 24-28, 2016},
	year = {2016},
	pages = {1653{\textendash}1662},
	author = {Yu Rong and Qiankun Zhu and Hong Cheng}
}
@conference {135,
	title = {Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events},
	booktitle = {Proceedings of the 21th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015},
	year = {2015},
	pages = {1015{\textendash}1024},
	author = {Yu Rong and Hong Cheng and Zhiyu Mo}
}
