Search Results for author: Ruizhuo Song

Found 4 papers, 0 papers with code

D4C Glove-train: Solving the RPM and Bongard-logo Problem by Circumscribing and Building Distribution for Concepts

no code implementations6 Mar 2024 Ruizhuo Song, Beiming Yuan

This paper achieves noteworthy progress in the realm of abstract reasoning, particularly in addressing Raven's Progressive Matrices (RPM) and Bongard-Logo challenges.

Computational Efficiency

Triple-CFN: Restructuring Concept Spaces for Enhancing Abstract Reasoning Process

no code implementations5 Mar 2024 Ruizhuo Song, Beiming Yuan

In this study, we introduce the Cross-Feature Network (CFN), a novel framework designed to separately extract concepts and features from images.

Solving the bongard-logo problem by modeling a probabilistic model

no code implementations5 Mar 2024 Ruizhuo Song, Beiming Yuan

Abstract reasoning problems pose challenges to the perception and cognition abilities of AI algorithms, demanding deeper pattern recognition and inductive reasoning beyond mere identification of explicit image features.

Discrete-Time Impulsive Adaptive Dynamic Programming

no code implementations IEEE Transactions on Cybernetics 2019 Qinglai Wei, Ruizhuo Song, Member, IEEE, Zehua Liao, Benkai Li, and Frank L. Lewis

Abstract—In this paper, a new iterative adaptive dynamic programming (ADP) algorithm is developed to solve optimal impulsive control problems for infinite horizon discrete-time nonlinear systems.

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