Dongxia Wu

#NeurIPS I’m on the 2024-25 job market, seeking faculty positions and postdoc opportunities! My research focuses on Bayesian Deep Learning, Spatiotemporal Modeling, and Scientific ML, with applications in public health, climate science, and drug discovery. dongxiaw.github.io/online-cv/

How to learn a #DeepLearning surrogate model efficiently with multi-fidelity data? Check out our #ICML2024 paper on ``Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling'' Paper: arxiv.org/abs/2402.18846 Code: github.com/Rose-STL-Lab/M… (1/3)

Interested in learning #deeplearning surrogate models for stochastic physics simulator? Check out our #KDD2023 paper on ‘Deep Bayesian Active Learning for Accelerating Stochastic Simulations’! Paper: arxiv.org/abs/2106.02770 Code: github.com/Rose-STL-Lab/I… (1/3)

Scientific simulations often run at multiple fidelity. How to best combine these data in high-dimensions? See our #ICML2023 paper on #Deep Bayesian Active Learning. Paper: arxiv.org/abs/2305.04392 Code: github.com/Rose-STL-Lab/M… (1/3)