Yi-Fan Ma @ LAMDA
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马逸凡 |
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About Me
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Currently, I am looking for a job. My expected graduation date is June, 2024 .
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I am a fifth-year Ph. D. candidate in Department of Computer Science and Technology, Nanjing University, and a member of LAMDA Group, led by Prof. Zhi-Hua Zhou . I am majoring in machine learning and data mining under the supervision of Prof. Ming Li. Specifically, I am interested in mining from structured data, such as graphs and the source code.
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I was admitted to study in Kuang Yaming Honors School in September 2014, and received my B. Sc. degree in Computer Science in June 2018 from Nanjing University. In the same year, I was admitted to Nanjing University to study for a Ph. D. degree without requiring taking the entrance examination.
Publications
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Learning Unified Semantic Space via Triplet Comparison for Cross-Project Bug Localization.
Yi-Fan Ma, Yali Du, Zheng Xie, and Ming Li.
Under review.
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Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation.
Yali Du, Yi-Fan Ma, Zheng Xie, and Ming Li.
Accepted by the 23rd IEEE International Conference on Data Mining (Regular paper, accepted rate 9.37%). ICDM'23 in press.
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Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization. [pdf] [code]
Yi-Fan Ma, Yali Du, and Ming Li.
In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23 Main Track), pages 2242-2250. 2023.
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Learning from the Multi-Level Abstraction of the Control Flow Graph via Alternating Propagation for Bug Localization. [pdf] [code]
Yi-Fan Ma and Ming Li.
In: Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM’22), pages 299-308. IEEE, 2022. Regular Paper (Accepted rate 9.77%).
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The Flowing Nature Matters: Feature Learning from the Control Flow Graph of Source Code for Bug Localization. [pdf]
Yi-Fan Ma and Ming Li.
Machine Learning, Vol. 111, 853-870, 2022.
Awards & Hornors
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Awardee supported by the Program for Outstanding Ph.D. Candidates of Nanjing University, the first batch in 2023.
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Outstanding Postgraduate Student, Nanjing University, 2021, 2022.
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Postgraduate Elite Scholarship for Doctoral Students, Nanjing University, 2021, 2022.
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Academic Scholarship for Doctoral Students, Nanjing University, 2018, 2019, 2020, 2021, 2022.
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Undergraduate Elite Scholarship, Nanjing University, 2015, 2016, 2017.
Teaching Assistant
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Advances in Artificial Intelligence (with Prof. Ming Li; for doctoral students), Nanjing University, Fall, 2021.
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Advanced Data Mining (with Prof. Ming Li; for postgraduate students), Nanjing University, Fall, 2019.
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Introduction to Data Mining (with Prof. Ming Li; for postgraduate and undergraduate students), Nanjing University, Spring, 2019.
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Problem Solving (with Prof. Dao-Xu Chen, A/Prof. Zhu-Zhong Qian and A/Prof. Gong Cheng; for undergraduate students), Nanjing University, Spring, 2017.
Skills
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More than ten years of experience in C++ algorithm programming.
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Six years of Python programming experience in machine learning research projects.
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Six years of LaTeX experience in academic writing.
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Academic communication in English.
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Practice breaststroke since 2007.
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Play ultimate frisbee since 2012, and is a member of the Ultimate Frisbee Team of Nanjing University.
Correspondence
mayf 
lamda.nju.edu.cn
Laboratory
Room 912, Computer Science Building, Xianlin Campus of Nanjing University
Mail Address
Yi-Fan Ma
National Key Laboratory for Novel Software Technology,
Nanjing University, Xianlin Campus Mailbox 603,
163 Xianlin Avenue, Qixia District,
Nanjing 210023, China