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 006; Zhi Yang; Shaozheng Qin (NeuroImage, 2021)

Cyclical Kernel Adaptive Metropolis. - Jianan Canal Li; Yimeng Zeng; Wentao Guo (CoRR, 2022)

A Novel Single-Arm Stapling Robot for Oral and Maxillofacial Surgery - Design and Verification. - Jingtao Zhang; Wei Wang 221; Yueri Cai; Jian Li; Yimeng Zeng; Longrui Chen; Fusong Yuan; Zhenhua Ji; Yan Wang; Justyna Wyrwa (IEEE Robotics Autom. Lett., 2022)

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)

Learning Performance-Improving Code Edits. - Alexander Shypula; Aman Madaan; Yimeng Zeng; Uri Alon 002; Jacob R. Gardner; Yiming Yang; Milad Hashemi; Graham Neubig; Parthasarathy Ranganathan; Osbert Bastani; Amir Yazdanbakhsh (ICLR, 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 (NeurIPS, 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)

Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. - Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu 001; Xinyu Yang 002; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; Zhaozhuo Xu (CoRR, 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 Transferable Static Sparsity. - Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu 001; Xinyu Yang 002; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; Zhaozhuo Xu (ICLR, 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, 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, 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, 2025)