Yimeng Zeng

According to our database, Yimeng Zeng authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Learned Offline Query Planning via Bayesian Optimization.

Jeffrey Tao, Natalie Maus, Haydn Thomas Jones, Yimeng Zeng, Jacob R. Gardner, Ryan Marcus

Proc. ACM Manag. Data, June, 2025

Large Scale Multi-Task Bayesian Optimization with Large Language Models.

Yimeng Zeng, Natalie Maus, Haydn Thomas Jones, Jeffrey Tao, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Ryan Marcus, Osbert Bastani, Jacob R. Gardner

CoRR, March, 2025

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization.

Natalie Maus, Kyurae Kim, Yimeng Zeng, Haydn Thomas Jones, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Jacob R. Gardner

CoRR, January, 2025

Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity.

Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting.

Halley Young, Yimeng Zeng, Jacob R. Gardner, Osbert Bastani

CoRR, 2024

Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity.

Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu

CoRR, 2024

Generative Adversarial Bayesian Optimization for Surrogate Objectives.

Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James C. Gee, Osbert Bastani

CoRR, 2024

Generative Adversarial Model-Based Optimization via Source Critic Regularization.

Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James C. Gee, Osbert Bastani

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Performance-Improving Code Edits.

Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Inverse Protein Folding Using Deep Bayesian Optimization.

Natalie Maus, Yimeng Zeng, Daniel Allen Anderson, Phillip M. Maffettone, Aaron Solomon, Peyton Greenside, Osbert Bastani, Jacob R. Gardner

CoRR, 2023

2022

A Novel Single-Arm Stapling Robot for Oral and Maxillofacial Surgery - Design and Verification.

Jingtao Zhang, Wei Wang, Yueri Cai, Jian Li, Yimeng Zeng, Longrui Chen, Fusong Yuan, Zhenhua Ji, Yan Wang, Justyna Wyrwa

IEEE Robotics Autom. Lett., 2022

Cyclical Kernel Adaptive Metropolis.

Jianan Canal Li, Yimeng Zeng, Wentao Guo

CoRR, 2022

2021

Dynamic integration and segregation of amygdala subregional functional circuits linking to physiological arousal.

Yimeng Zeng, Fuxiang Tao, Zaixu Cui, Liyun Wu, Jiahua Xu, Wenshan Dong, Chao Liu, Zhi Yang, Shaozheng Qin

NeuroImage, 2021