Shuqi Ke

According to our database, Shuqi Ke authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Value-Based Pre-Training with Downstream Feedback.

Shuqi Ke, Giulia Fanti

CoRR, January, 2026

Non-Cooperative Multi-Agent Reinforcement Learning Exploiting Population Dynamics.

Junling Li, Hao Zhang, Shuqi Ke, Jianwei Huang, Nan Chen, Xuemin Shen

IEEE Trans. Netw. Sci. Eng., 2026

2025

Characterizing the Training Dynamics of Private Fine-tuning with Langevin diffusion.

Shuqi Ke, Charlie Hou, Sewoong Oh, Giulia Fanti

Trans. Mach. Learn. Res., 2025

FgFEU-Net: A Fine-Grained Feature Extraction U-Net Model for Breast Tumor Segmentation Based on Transfer Learning.

Guangxing Wang, Xiwei Dong, Jingjuan Guo, Seong Yoon Shin, Chao Zhang, Binbin Wang, Xianbin Li, Shuqi Ke

Proceedings of the Edge Computing - EDGE 2025, 2025

The Real-Time Intelligent Transportation Detection System Based on Edge-Cloud Collaborative Computing.

Tao Lin, Guangxing Wang, Xiwei Dong, Jingjuan Guo, Binbin Wang, Mali Yu, Shuqi Ke, Zhuolin Mei

Proceedings of the Edge Computing - EDGE 2025, 2025

2024

Duopoly Business Competition in Cross-Silo Federated Learning.

Chao Huang, Shuqi Ke, Xin Liu

IEEE Trans. Netw. Sci. Eng., 2024

On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?

Shuqi Ke, Charlie Hou, Giulia Fanti, Sewoong Oh

CoRR, 2024

How Can LLM Guide RL? A Value-Based Approach.

Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang

CoRR, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency.

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

CoRR, 2023

On the Impact of Label Noise in Federated Learning.

Shuqi Ke, Chao Huang, Xin Liu

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

2022

Quantifying the Impact of Label Noise on Federated Learning.

Shuqi Ke, Chao Huang, Xin Liu

CoRR, 2022