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Personal Information:
More >>Supervisor of Master's Candidates
Honors and Titles:
2023 elected:ECML PKDD 2023 runner-up best paper award
Personal Profile
My name is Zhu Yifan, I am an Assistant Professor at Beijing University of Posts and Telecommunications. I graduated from Beijing Institute of Technology in 2021, and from 2021 to 2023, I served as a Postdoctoral Fellow/Assistant Researcher at the Department of Computer Science, Tsinghua University. My research interests encompass graph data mining, recommendation systems, large model on domain applications, brain network analysis, open-sourced intelligence mining, and social networks.
I have published over 50 high-level papers in top international academic conferences and journals such as KDD, TOIS, MM, and TKDE, with an H-index of 20.
I have been honored with the First Prize of China Association of Work Safety Science and Technology Advancement Award (2024), the Best Student Paper Award at ECML-PKDD (2023), etc.
I have been funded by the National Key R&D Programs (2024-2027), the National Natural Science Foundation of China for Young Scientists (2024-2027), and the China Postdoctoral Science Foundation (2022-2023). I have also contributed to AMiner as a lead AI scienceist.
I am responsible for delivering the undergraduate course "Fundamentals of Big Data Technology." My teaching efforts have been recognized with the Second Prize in the Beijing University of Posts and Telecommunications Young Teachers' Teaching Skills Competition in 2024, and the First Prize in the School of Computer Sciences Young Teachers' Teaching Skills Competition.
I serve as a member of the editorial board of the renowned data mining journal Information Fusion (IF: 13.828,), an executive committee member of the Big Data Committee and the Data Governance Development Committee of the China Computer Federation (CCF), the Area Chair of CCKS 2025, and the Session Chair of academic conferences such as ISPA 2019 and BESC 2024. I am also a program committee member of international academic conferences including NeuralPS, MM, WWW, CVPR, ICML, AAAI, IJCAI, and ECML-PKDD, and a reviewer for international renowned academic journals such as IEEE TKDE, ACM-TOIS, IEEE-TITS, ACM-TKDD, IEEE-TBD, and IEEE-TCSS. Additionally, I have served as a Guest Editor for international academic journals WCMC, IJDSN, and Electronics.
[Note] Please read this first before submitting the application for graduate student: https://zhuyf8899.github.io/#-students
[Note] This page is not regularly updated. For the latest personal homepage information, please visit: https://zhuyf8899.github.io/
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