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Shuqi Ke
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Shuqi Ke

PhD Student · Carnegie Mellon University ·

I am a Ph.D. student at Carnegie Mellon University, advised by Prof. Giulia Fanti. I work to close the generalization, sample efficiency, and proactivity gap between AI and human. I am looking for undergrad and graduate students for academic cooperation. Discussions are welcome!

shuqik [at] andrew.cmu.edu Google Scholar

News

2026-04
Our pretraining project was recently approved for an ACCESS computing allocation, supported by NSF.
2026-03
Visit the Simons Institute for the Theory of Computing as part of the FCL program.

Selected Publications

Value-Based Pre-Training with Downstream Feedback

Shuqi Ke, Giulia Fanti

ICLR 2026 Workshop on Representational Alignment (Re-Align) · 2026

Paper

Characterizing the Training Dynamics of Private Fine-Tuning with Langevin Diffusion

Shuqi Ke, Charlie Hou, Sewoong Oh, Giulia Fanti

TMLR · 2025

Paper Code

Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents

Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang

ICML · 2024

Paper Code Website

Talks

Teaching

Service

  • Reviewer: ICML, ICLR, NeurIPS, AISTATS, TMLR, IEEE TSP