Chengfei Liu — accepted AI-conference papers

2022

MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation

Yu Fan, Jiajie Xu, Rui Zhou, Jianxin Li, Kai Zheng, Lu Chen +1

IJCAI 2022poster

En route travel time estimation (ER-TTE) aims to predict the travel time on the remaining route. Since the traveled and remaining parts of a trip usually have some common characteristics like driving speed, it is desirable to explore these characteristics for improved performance via effective adapt…

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2020

Pivot-based Maximal Biclique Enumeration

Aman Abidi, Rui Zhou, Lu Chen, Chengfei Liu

IJCAI 2020poster

Enumerating maximal bicliques in a bipartite graph is an important problem in data mining, with innumerable real-world applications across different domains such as web community, bioinformatics, etc. Although substantial research has been conducted on this problem, surprisingly, we find that pivot-…

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