Binjie Yuan — accepted AI-conference papers

2026

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance

Zehua Chen, Yucheng Yang, Binjie Yuan, Kaiwen Zheng, Jun Liu, Jun Zhu

ICML 2026poster

Guidance methods, e.g., classifier-free guidance (CFG) and auto-guidance (AG), have distinctively improved noise-to-data diffusion generation results. Recently, bridge models have been proposed, which present a data-to-data sampling process to exploit instructive information from clean prior represe…

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2023

A constrained Bayesian approach to out-of-distribution prediction

Ziyu Wang, Binjie Yuan, Jiaxun Lu, Bowen Ding, Yunfeng Shao, Qibin Wu +1

UAI 2023poster

Consider the problem of out-of-distribution prediction given data from multiple environments. While a sufficiently diverse collection of training environments will facilitate the identification of an invariant predictor, with an optimal generalization performance, many applications only provide us w…

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