CV

Education

• Ph.D. in Computer Science, 2026 (expected)
  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
  • Thesis: Transfer learning methods in ubiquitous computing.
  • Advisor: Yiqiang Chen

Honors & Scholarships

• E Fund Financial Technology Doctoral Scholarship, 2024
• First-Class Academic Scholarship, UCAS, 2024
• Merit Student, UCAS, 2021-2024
• Excellent Student Cadre, UCAS, 2022, 2024
• Excellent Graduates, Beijing City, 2020
• Excellent Bachelor’s Graduation Thesis, 2020
• National Scholarship, 2017-2018
• National Mathematics Competition for College Students, First Prize, 2017-2018

Skills

• Programming:
  • Python(Pytorch+++), Matlab (++), C++/C (++)
• Language:
  • Chinese: Mother Tongue
  • English: CET-6
  • Japanese: JLPT N2
• Hobby:
  • Swimming, Traveling

Publications

DDIR: Domain-Disentangled Invariant Representation Learning for Tailored Predictions

Y. Ma et al., "DDIR: Domain-Disentangled Invariant Representation Learning for Tailored Predictions," in Knowledge-Based Systems 2025.

Grade-Skewed Domain Adaptation via Asymmetric Bi-Classifier Discrepancy Minimization for Diabetic Retinopathy Grading

Y. Ma et al., "Grade-Skewed Domain Adaptation via Asymmetric Bi-Classifier Discrepancy Minimization for Diabetic Retinopathy Grading," in IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2024.3485064.

Class-imbalanced Time Series Adaptation via Multi-Expert Consistency Entropy Minimization

Y. Ma et al., "Class-imbalanced Time Series Adaptation via Multi-Expert Consistency Entropy Minimization," 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024, pp. 2284-2290, doi: 10.1109/BIBM62325.2024.10822753.

Letting Go of Self-Domain Awareness: Multi-Source Domain-Adversarial Generalization via Dynamic Domain-Weighted Contrastive Transfer Learning

Y. Ma et al., " Letting Go of Self-Domain Awareness: Multi-Source Domain-Adversarial Generalization via Dynamic Domain-Weighted Contrastive Transfer Learning," in ECAI 2023. IOS Press, 2023: 1664-1671.

Presentations

• Oral presentation at ECAI 2023 (Krakow, Poland).
• Oral presentation at IEEE BIBM 2024 (Lisbon, Portugal).

Patent

• 10 China National Patents have been accepted.

Other Information

• 720th Xiangshan Science Conference, Secretary of the Conference.