activity
20222026
most citedActive Learning for Manifold Gaussian Process Regression

1 citations · 2 across the 9 of their papers we have counts for

collaborators

10 papers

math.DS2026

Learning the Energy Landscapes of Dynamical Systems via Energetic Variational Optimal Transport under Data Quantity--Quality Trade-offs

Shun Wang, Chun Liu, Wenrui Hao

Dynamic optimal transport unifies optimal transport, fluid mechanics, and gradient-flow theory within a continuous dynamical framework, offering a geometry-aware language for appli…

cond-mat.soft2026

Thermodynamically Consistent Modeling of ATP-Driven Cross-Bridge Dynamics in Muscle Contraction

Yiwei Wang, Chun Liu

Muscle contraction is a prototypical multiscale chemomechanical process in which ATP hydrolysis at the molecular level drives force generation and mechanical work at larger scales.…

stat.ML2025★ 1 cited

Active Learning for Manifold Gaussian Process Regression

Yuanxing Cheng, Lulu Kang, Yiwei Wang +1

This paper introduces an active learning framework for manifold Gaussian Process (GP) regression, combining manifold learning with strategic data selection to improve accuracy in h…

math.NA2025

On a Modified Random Genetic Drift Model: Derivation and a Structure-Preserving Operator-Splitting Discretization

Chi-An Chen, Chun Liu, Yiwei Wang

One of the fundamental mathematical models for studying random genetic drift is the Kimura equation, derived as the large-population limit of the discrete Wright-Fisher model. Howe…

stat.ML2025

Accelerating Particle-based Energetic Variational Inference

Xuelian Bao, Lulu Kang, Chun Liu +1

In this work, we propose a new particle-based variational inference (ParVI) method for accelerating the Energetic Variational Inference with Implicit scheme (EVI-Im) introduced in…

math.NA2024

On pattern formation in the thermodynamically-consistent variational Gray-Scott model

Wenrui Hao, Chun Liu, Yiwei Wang +1

In this paper, we explore pattern formation in a four-species variational Gary-Scott model, which includes all reverse reactions and introduces a virtual species to describe the bi…

math.AP2024

Non-isothermal diffuse interface model for phase transition and interface evolution

Chun Liu, Jan-Eric Sulzbach, Yiwei Wang

In this paper, we derive a thermodynamically consistent non-isothermal diffuse interface model for phase transition and interface evolution involving heat transfer. This model is c…

math.NA2024

On a positive-preserving, energy-stable numerical scheme to mass-action kinetics with detailed balance

Chun Liu, Cheng Wang, Yiwei Wang

In this paper, we provide a detailed theoretical analysis of the numerical scheme introduced in J. Comput. Phys. 436 (2021) 110253 for the reaction kinetics of a class of chemical…

stat.ME2024

Energetic Variational Gaussian Process Regression for Computer Experiments

Lulu Kang, Yuanxing Cheng, Yiwei Wang +1

The Gaussian process (GP) regression model is a widely employed surrogate modeling technique for computer experiments, offering precise predictions and statistical inference for th…

math.NA2022★ 1 cited

Energetic Variational Neural Network Discretizations of Gradient Flows

Ziqing Hu, Chun Liu, Yiwei Wang +1

We present a structure-preserving Eulerian algorithm for solving -gradient flows and a structure-preserving Lagrangian algorithm for solving generalized diffusions. Both algor…