Xin-Yang Liu — Papers on Cortexa

arxivcs.CEcs.AIphysics.comp-ph2026-07-01

A Multi-Resolution Finite-Volume Inspired Deep Learning Framework for Spatiotemporal Dynamics Prediction

Xin-Yang Liu, Xiantao Fan, Jian-Xun Wang

Predicting complex spatiotemporal dynamics in physical processes often demands computationally expensive numerical methods or data-driven neural networks that suffer from high training costs, error accumulation, and limited generalizability to unseen parameters. An effective appr…

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arxivcs.LG2026-06-30

Offline Reinforcement Learning for Fluid Controls: Data-based Multi-observational Policy Extraction

Deepak Akhare, Luning Sun, Xin-Yang Liu, Xiantao Fan, Timo Bremer, Ben Zhu, et al.

Active flow control is a fundamental application in engineering. Recent advances in deep reinforcement learning have made progress in this field. However, the classical online RL approaches require extensive real-time interactions with the high fidelity environment, while each se…

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