Scholar
Sungsoo Ahn
Google Scholar ID: 2ibiON0AAAAJ
KAIST
Citations & Impact
Citations
2,736
H-index
17
i10-index
25
Publications
20
Co-authors
0
Publications
Cited
0
Resume (English only)
Academic Achievements
- Multiple papers accepted at NeurIPS 2025, including 'High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction', 'Energy-based Generator Matching', 'On Scalable and Efficient Training of Diffusion Samplers', 'Flexible MOF Generation with Torsion-Aware Flow Matching', and 'Structural Reasoning Improves Molecular Understanding of LLM'
- Papers at EMNLP 2025: 'Self-Training Large Language Models with Confident Reasoning', 'Improving Chemical Understanding of LLMs via SMILES Parsing', and 'MT-Mol: Multi Agent System with Tool-based Reasoning for Molecular Optimization'
- Paper at ICLR 2025: 'ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring'
- Paper at KDD 2025 (Datasets and Benchmarks Track): 'RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark'
- Paper in Transactions on Machine Learning Research (TMLR), 2024: 'Decoupled Sequence and Structure Generation for Realistic Antibody Design'
- Multiple contributions to ACL 2025 (Main Conference and Findings)
- Research spans LLMs for molecular generation, chemical reasoning, structural diversity, and conformation prediction
- Collaborates with prominent researchers including Yoshua Bengio
Co-authors