activity
20122026
most citedGENERIC formalism of a Vlasov-Fokker-Planck equation and connection to large-deviation principles

64 citations · 305 across the 72 of their papers we have counts for

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11 papers · 1 filter

math.AP2026

Gradient flow approach to Landau equation: A cross-product structure

Manh Hong Duong, Zihui He

We introduce a cross-product Landau gradient that commutes with Gaussian mollification. For the hard-potential interaction kernels of the form $A(|v-v_*|)\sim \langle v-v_*\rangle^…

cs.AI2026

Reputation-driven Cooperation in Lattice-based Decentralized Federated Learning through Evolutionary Game Theory

Phuc Hoang Truong Huynh, Dung Tran Vinh, Khoa Duc Anh Lam +9

Decentralized Federated Learning (DFL) has emerged as an optimal privacy-preserving solution; however, it remains vulnerable to opportunistic behaviors due to the absence of a cent…

cs.AI2026

Co-evolution of social reward and punishment under institutional interventions

Van An Nguyen, Vuong Khang Huynh, Hoai Thuong Nguyen +14

We investigate how peer and institutional incentives jointly shape the evolution of cooperation, social welfare, and enforcement efficiency in social dilemmas. In a Prisoners Dilem…

math.AP2026

Global Dynamics of Trait-Structured Generalised Lotka-Volterra Systems with Trait-Independent Interactions

Manh Hong Duong, Nataliya Balabanova, Blaine van Rensburg

We study the long time dynamics of a selection-mutation integro-differential Lotka-Volterra system of populations. In our model, fitness depends on a continuous phenotypic trai…

math.AP2026

The Homogeneous Landau Equation with Regularised Thermal Noise

Manh Hong Duong, Zihui He, Zhengyan Wu

We introduce and analyze a fluctuating homogeneous Landau equation with regularised thermal noise. The model is motivated by the nonlocal gradient flow structure of the determinist…

cs.GT2026

Social welfare optimisation under institutional reward and punishment

Van An Nguyen, Vuong Khang Huynh, Huu Loi Bui +8

Institutional incentives are widely used to promote cooperation among autonomous, self-regarding agents, from human societies to multi-agent and AI systems. Existing work typically…

math.AP2026

Unified Formulation and Asymptotic Limits of Inhomogeneous Kinetic Models within GENERIC

Manh Hong Duong, Zihui He

In this paper, we study a general class of inhomogeneous kinetic models that unifies fundamental models in both the statistical physics of particles and of waves, namely the kineti…

math.PR2026

Asymptotic analysis for the Generalized Relativistic Langevin Equation

Ethan Baker, Manh Hong Duong, Hung Dang Nguyen

In this paper, we study a non-Markovian generalized relativistic Langevin equation (GRLE). We show that when the memory kernel is a sum of exponentials, the GRLE is equivalent to a…

cs.AI2026

Trust or Check? Understanding the (Evolutionary) Dynamics of User Trust in AI Systems

Adeela Bashir, Zhao Song, Ndidi Bianca Ogbo +21

As the capabilities and adoption of Artificial Intelligence (AI) systems grow, trust in these AI systems is an increasingly urgent concern. Much research has focused on models of A…

math.PR2026

Ergodicity and asymptotic limits for Langevin interacting systems with singular forces and multiplicative noises

Manh Hong Duong, Hung Dang Nguyen, Wenxuan Tao

In this paper, we study systems of interacting particles described by the classical and relativistic Langevin dynamics with singular forces and multiplicative noises. For the c…

math.AP2026

Multi-species kinetic models: GENERIC formulation and Fisher information

Manh Hong Duong, Zihui He

In this paper, we study the GENERIC structures of multi-species spatially inhomogeneous Boltzmann and Landau equations with Bose-Einstein, Maxwell-Boltzmann, and Fermi-Dirac statis…