Zhunga Liu — accepted AI-conference papers

2026

Incorporating Expert Priors into Bayesian Optimization via Dynamic Mean Decay

Chongqi Qu, Meiqin Liu, Jian Lan, Shanling Dong, Zhunga Liu

ICLR 2026poster

Bayesian optimization (BO) is a powerful approach for black-box optimization, and in many real-world problems, domain experts possess valuable prior knowledge about promising regions of the search space. However, existing prior-informed BO methods are often overly complex, tied to specific acquisiti…

Cited by 0 Source ↗Scholar ↗

2023

Multimodal Image Registration for GPS-denied UAV Navigation Based on Disentangled Representations

Huandong Li, Zhunga Liu, Yanyi Lyu, Feiyan Wu

ICRA 2023poster

Visual navigation plays an important role for Unmanned Aerial Vehicles(UAVs). In some applications, the landmark image and the real-time image may be heterogeneous, like near-infrared and visible images. In this work, we propose a multimodal image registration method to deal with near-infrared and v…

Cited by 6 Source ↗Scholar ↗