Hongyu Fu — accepted AI-conference papers

2025

NOVA: An Iterative Planning Framework for Enhancing Scientific Innovation with Large Language Models

Xiang Hu, Hongyu Fu, Jinge Wang, Yifeng Wang, Zhikun Li, Renjun Xu +4

ACL 2025finding

Scientific innovation is pivotal for humanity, and harnessing large language models (LLMs) to generate research ideas could transform discovery. However, existing LLMs often produce simplistic and repetitive suggestions due to their limited ability in acquiring external knowledge for innovation. To…

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2023

Classification via Subspace Learning Machine (SLM): Methodology and Performance Evaluation

Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo

ICASSP 2023accepted

Inspired by the decision learning process of multilayer per-ceptron (MLP) and decision tree (DT), a new classification model, named the subspace learning machine (SLM), is proposed in this work. SLM first identifies a discriminant subspace, S<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:…

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