Yin, Feng

6 publications

NeurIPS 2025 Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs Richard Cornelius Suwandi, Feng Yin, Juntao Wang, Renjie Li, Tsung-Hui Chang, Sergios Theodoridis

ICLR 2024 Graphical Multioutput Gaussian Process with Attention Yijue Dai, Wenzhong Yan, Feng Yin

ICML 2024 Preventing Model Collapse in Gaussian Process Latent Variable Models Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang

AAAI 2024 ProAgent: Building Proactive Cooperative Agents with Large Language Models Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang

ICLR 2022 Fast Generic Interaction Detection for Model Interpretability and Compression Tianjian Zhang, Feng Yin, Zhi-Quan Luo

UAI 2020 An Interpretable and Sample Efficient Deep Kernel for Gaussian Process Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui