Disentangled Multi-Fidelity Deep Bayesian Active Learning. - Dongxia Wu; Ruijia Niu; Matteo Chinazzi; Yi-An Ma; Rose Yu (ICML, 2023)

Deep Bayesian Active Learning for Accelerating Stochastic Simulation. - Dongxia Wu; Ruijia Niu; Matteo Chinazzi; Alessandro Vespignani; Yi-An Ma; Rose Yu (KDD, 2023)

Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling. - Ruijia Niu; Dongxia Wu; Kai Kim; Yian Ma; Duncan Watson-Parris; Rose Yu (ICML, 2024)

Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization. - Dongxia Wu; Nikki Lijing Kuang; Ruijia Niu; Yi-An Ma; Rose Yu (CoRR, 2024)

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs. - Ruijia Niu; Dongxia Wu; Rose Yu; Yi-An Ma (CoRR, 2024)

Modeling Climate Characteristics of Qinghai Lake Ice in 1979-2017 by a Quasi-Steady Model. - Hong Tang; Yixin Zhao; Lijuan Wen; Matti Leppäranta; Ruijia Niu; Xiang Fu (Remote. Sens., 2024)