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Changhong Mou

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Preprint Aug 2026

CONTRAMEM: Learning Self-Evolving Procedural Memory from Contrasting Multi-Model Trajectories

Autonomous computer-use agents are increasingly applied to long-horizon tasks requiring coordinated application calls, persistent state tracking, and verifier-sensitive writes, yet they remain prone to procedural failures: misreading application state, tool semantics, or task progress. Procedural memory promises more c...

Zheyuan Deng, Bing-Hang Lu, Han-Qi Feng et al. · 0 citations
Preprint Jul 2026

Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data

A hybrid, data-driven model framework that combines Sparse Identification of Nonlinear Dynamics (SINDy) with the Ensemble Kalman Filter (EnKF) for sequential data assimilation improves prediction accuracy and provides a good reconstruction of unobserved trajectories under partial observability, a common constraint in r...

B. A. Afful, Changhong Mou, Luis F. Gordillo · 0 citations

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