Scholar
Heejeong Nam
Google Scholar ID: UU8NCg8AAAAJ
Brown University
Citations & Impact
Citations
17
H-index
2
i10-index
0
Publications
6
Co-authors
4
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: 'Towards Causal Representation Learning with Observable Sources as Auxiliaries' (ICML 2025 Workshop); 'When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research' (Preprint); 'VAGUE: Visual Contexts Clarify Ambiguous Expressions' (ICCV 2025); 'An Adversarial Learning Approach to Irregular Time-Series Forecasting' (NeurIPS 2024 AdvML-Frontiers Workshop); 'Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Pathological Images' (ICASSP 2024); 'SCADI: Self-supervised Causal Disentanglement in Latent Variable Models' (NeurIPS 2023 CRL Workshop); 'Enhanced Open Set Recognition via Disentangled Representation Learning' (2023 Korea Artificial Intelligence Conference). Awards: Selected as a NeurIPS 2023 Volunteer; Project Release: VAGUE 2.0 (ICCV 2025).
Research Experience
- AI Researcher at Boeing Korea Engineering and Technology Center (Jan 2024–Present); AI Research Intern at Linq Labs (Sep 2023–Dec 2023); AI Research Intern at AITRICS (Oct 2022–Feb 2023); AI Research Intern at Vision Research Lab at UCSB (Jun 2022–Sep 2022).
Education
- M.S. in Computer Science at Brown University, Advisor: Prof. Randall Balestriero; B.S. (EE) at Yonsei University (Mar 2019–Feb 2024); Exchange Student (ECE) at University of California, Los Angeles (Winter, Spring 2022).
Background
- Research Interests: Structured Representation Learning, Causal AI, World Models; Effort Directions: Compositional Understanding, AI for Science.
Miscellany
- Enjoys almost all outdoor activities such as working out, figure skating, snowboarding, swimming, and bouldering. Always excited to try new sports. Also likes taking pictures of nature during travel.
