Scholar
Naimeng Ye
Google Scholar ID: eb3G6B0AAAAJ
Ph.D. Student, Columbia University
Citations & Impact
Citations
33
H-index
2
i10-index
1
Publications
6
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published several preprints such as 'Speculative Actions: A Lossless Framework for Faster Agentic Systems' and 'Exchangeable Sequence Models Can Naturally Quantify Uncertainty Over Latent Concepts'. Also, had work accepted to ICLR 2025. The paper 'Differences-in-Neighbors for Network Interference in Experiments' was a finalist for the Jeff McGill Student Paper Award 2025.
Research Experience
- Involved in multiple research projects including Algorithmic Learning for Sequence Models and the development of SynthTools framework.
Education
- B.A. in Mathematics from Princeton University; Ph.D. candidate in the Decision, Risk, and Operations department at Columbia University, advised by Prof. Hongseok Namkoong and Prof. Tianyi Peng.
Background
- A fourth year Ph.D. student in the Decision, Risk, and Operations department at Columbia University. Interested in training and deploying agentic systems, with a focus on developing AI agents for real-world sequential decision-making under uncertainty.
Miscellany
- Reviewer for ICLR 2026, ICLR 2025, AISTATS 2026, and NeurIPS 2024.
Co-authors