Scholar
Haiyu Wu
Google Scholar ID: WeQkhYwAAAAJ
Research Scientist, Altos Labs
Citations & Impact
Citations
282
H-index
9
i10-index
8
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors' (ICLR2025); 'LogicNet: A Logical Consistency Embedded Face Attribute Learning Network' (WACV2025); 'Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning' (CVPR2023); Awards: CVPR2024 Travel Award; Best Paper in VDU Workshop at CVPR2023
Research Experience
- Research Scientist at Altos Labs (July 2025 – Present); Research Intern at The Australian National University (April 2024 – January 2025); Graduate Research Assistant at University of Notre Dame (January 2022 – June 2025); Machine Learning Engineer at HopeRun Technology Corporation (September 2020 – June 2021)
Education
- PhD in Computer Science and Engineering, 2025, University of Notre Dame, Advisor: Prof. Kevin W. Bowyer; BSc in Electrical Engineering, 2020, Northern Arizona University
Background
- Currently working as a Research Scientist at Altos Labs, focusing on multi-modal fusion, alignment, and reasoning. The long-term goal is to enhance the transfer learning, zero-shot learning, and few-shot learning capabilities of large-scale foundation models, and to effectively learn useful knowledge from noisy data.
Miscellany
- Interests: Generative AI, Multi-modality, AI for science
