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Towards the efficient calculation of quantity of interest from steady Euler equations I: A dual-consistent DWR-based h-adaptive Newton-GMG solver

Published in Communications in Computational Physics, 35(3):579-608, 2023

Towards the efficient calculation of quantity of interest from steady Euler equations II: a CNNs-based automatic implementation

Published in Communications in Computational Physics, 39(3):884-918, 2024

A multi-mesh approach for accurate computation of multi-target functionals in aerodynamics design

Published in Journal of Computational Physics, 535:114054, 2025

A Neural-network based converging input with DWR-based mesh adaptation method for efficient quantity of interest calculation

Protein-Ligand Affinity Prediction via Topologically-Aware Graph Neural Network

A mechanism-driven reinforcement learning framework for shape optimization of airfoils

Synchronized optimal transport for cross-modality trajectory inference integrating scRNA-seq and scATAC-seq

RAFT-UP: robust alignment for spatial transcriptomics under partial-overlapping [under review]

Under review

Synchronization of Unbalanced Dynamical Optimal Transport across Multiple Spaces [under review]

Under review

Comparison of different DWR-based h-adaptation method for solving steady Euler equations [preparation]

Joint work with Guanghui Hu

Optimizing molecular geometry using reinforcement learning with density functional theory [preparation]

Joint work with Guanghui Hu and Chengyu Liu