Hello, I am Yijingxiu Lu, a Ph.D. candidate at the Bio & Health Informatics (BHI) Lab at Seoul National University, under the guidance of Prof. Sun Kim. My research interests focus on AI4Science, with a particular emphasis on computer-aided drug discovery and relational learning in multi-omics data. Please feel free to reach out for research communications, collaboration opportunities, or professional discussions.

πŸ”₯ News

  • 2024.10: Β πŸŽ‰πŸŽ‰ Our researches received the Excellent Poster Awards in BIOINFO 2024.
  • 2024.07: Β πŸŽ‰πŸŽ‰ Our works are accepted by BIOKDD 2024.
  • 2024.02: Β πŸŽ‰πŸŽ‰ Co-work is accepted by CVPR 2024.
  • 2024.02: Β πŸŽ‰πŸŽ‰ Our work is accepted by ICLR tiny paper 2024.
  • 2024.02: Β πŸŽ‰πŸŽ‰ Co-work won the 30th Samsung HumanTech Paper Award.

πŸ“ Main Publications

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BIOKDD 2024 Context-Aware Hierarchical Fusion for Drug Relational Learning

[paper] [slides]

Yijingxiu Lu, Yinhua Piao, Sangseon Lee, Sun Kim

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BIOKDD 2024 Mixture-of-Experts Approach for Enhanced Drug-Target Interaction Prediction and Confidence Assessment

[paper] [slides]

Yijingxiu Lu, Sangseon Lee, Soosung Kang, Sun Kim

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ICLR Tiny 2024Enhancing Drug-Drug Interaction Prediction with Context-Aware Architecture (Notable: Top 16.25%)

[paper] [code]

Yijingxiu Lu, Yinhua Piao, Sun Kim

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CSBJ A review on compound-protein interaction prediction methods: Data, format, representation and model

[paper]

Sangsoo Lim*, Yijingxiu Lu*, Chang Yun Cho, Inyoung Sung, Jungwoo Kim, Youngkuk Kim, Sungjoon Park, Sun Kim

πŸ“ Publications

πŸŽ– Honors and Awards

  • [2024.10] Excellent Poster Award on BIOINFO 2024.
  • [2024.05] Notable Paper on ICLR Tiny Paper Track.
  • [2024.02] Samsung HumanTech Paper Award (co-author).
  • [2019.03-2021.06] SNU Global Scholarships II.

πŸ“– Educations

  • [2018.09 - 2025.02 (now)], Combined Master and Doctor Degree, Computer Science, Seoul National University.
  • [2017.03 - 2018.08], Korean Language Education, Seoul National University.
  • [2013.08 - 2017.06], Bachelor Degree, Communication Engineering, University of Science Technology Beijing.

πŸ” Study

  • Fu Cong, et al. β€œFragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models” arXiv preprint arXiv:2408.09730 (2024) [slides]

πŸ’» Internships

  • [2018.03 - 2018.08], BHI Lab, Korea.