activity
20242026
most citedActive Learning for Manifold Gaussian Process Regression

1 citations · 1 across the 7 of their papers we have counts for

collaborators

9 papers

cs.LG2026

Structure-Aware Variational Learning of a Class of Generalized Diffusions

Yubin Lu, Xiaofan Li, Chun Liu +2

Learning the underlying potential energy of stochastic gradient systems from partial and noisy observations is a fundamental problem arising in physics, chemistry, and data-driven…

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.…

cond-mat.soft2025

Energetic variational modeling of active nematics: coupling the Toner-Tu model with ATP hydrolysis

Yiwei Wang

We present a thermodynamically consistent energetic variational model for active nematics driven by ATP hydrolysis, with a focus on the coupling between chemical reactions and mech…

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…

physics.comp-ph2024

Learning Generalized Diffusions using an Energetic Variational Approach

Yubin Lu, Xiaofan Li, Chun Liu +2

Extracting governing physical laws from computational or experimental data is crucial across various fields such as fluid dynamics and plasma physics. Many of those physical laws a…

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…