Hao-Yuan He (何浩源)
I am a second-year Ph.D. student at the School of Artificial Intelligence, Nanjing University, in the LAMDA Group lead by Professor Zhi-Hua Zhou.
I am working on bridging machine learning and logical reasoning within a unified iterative loop. In particular, my research focuses on abductive learning (ABL), including its theoretical foundations C1, algorithmic design C2, and practical applications.
Selected Publications
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Awards
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Winner Award
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First Prize of Academic Scholarship
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First Prize of Chinese Mathematics Competitions
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National Encouragement Scholarship
Services
- Volunteer: MLA'23; IJCLR'24
- Conference Reviewer: ACML (2023, 2025); IJCLR (2024, 2025); ICLR (2025, 2026); ICML (2025); NeurIPS (2025); AAAI (2026)
- Journal Reviewer: Knowledge and Information Systems
- Teaching Assistant: Discrete Mathematics (2021 Fall); Introduction of Artificial Intelligence (2021 Fall); Advanced Algebra (2022 Fall); Deep Learning Platform Techniques (2022 Fall); Complex Object Data Mining (2023 Fall); Introduction about Frontiers of Artificial Intelligence (2024 Fall)