Liyue Chen (Ph.D. Student) 陈李越

Biography

I got my Bachelor's degree (2020) from Xidian University in the School of Cyber Engineering. Currently, I am a Ph.D. student at Peking University supervised by Prof. Leye Wang. My research interests include ubiquitous computing and urban computing, with special focus in spatiotemporal data mining.

Email: chenliyue2019@gmail.com

Google Scholar: Liyue Chen

Address: Peking University, No.5 Yiheyuan Road Haidian District, Beijing, China

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Research Projects

Urban Computing Tool Box (UCTB) is a package providing spatio-temporal paper list, urban datasets, spatio-temporal prediction models, and visualization tools for various urban computing tasks, such as traffic prediction, crowd flow prediction, ridesharing demand prediction, etc.

We highly recommend you use UCTB and looking forward to your feedback. 🤩🤩🤩

Publications

Conference

• Liyue Chen, Jiangxi Fang, Tengfei Liu, Shaosheng Cao, Leye Wang, “A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units”. ICDE 2024.
• Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang, “Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer”. CIKM 2023.
• Liyue Chen, Jiangyi Fang, Zhe Yu Yongxin Tong, Shaosheng Cao, Leye Wang, “A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management”. KDD 2023.

Journal

• Leye Wang, Di Chai, Xuanzhe Liu, Liyue Chen, Kai Chen. “Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework”. IEEE Trans. Knowledge and Data Engineering, 2023.

Others

• Liyue Chen, Xiaoxiang Wang, Leye Wang. “Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark”, Pre-print Manuscript, 2023.
• Liyue Chen+, Di Chai+, Leye Wang. “UCTB: An Urban Computing Tool Box for Spatiotemporal Crowd Flow Prediction”, Technical Report. (+ indicates equal contribution), 2023.

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Teaching

• Teaching Assistant of Introduction to Artificial Intelligence by Prof. Leye Wang, Spring 2023.
• Teaching Assistant of Urban Data Mining and Machine Learning Applications by Prof. Leye Wang, Spring 2021.

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Awards

• 2019, First-Class Award in 12^th National College Student Information Security Contest.
• 2019, National Scholarship (Xidian University).
• 2020, Outstanding Graduates (Xidian University).
• 2023, Award for Scientific Research (Peking University).

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