Hong Wang

Energy-Regularized Sequential Model Editing on Hyperspheres

Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter

Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs

Scheduling Your LLM Reinforcement Learning with Reasoning Trees

EvoMAS : Heuristics in the Loop—Evolving Smarter Agentic Workflows

Accelerating Data Generation for Nonlinear temporal PDEs via homologous perturbation in solution space

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective

From Uniform to Adaptive: General Skip-Block Mechanisms for Efficient PDE Neural Operators

STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem

Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training

SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning

Perturbation-Restrained Sequential Model Editing

Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter

SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning

STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem

Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter

SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning

SReNet: Spectral Refined Network for Solving Operator Eigenvalue Problem