He Zhu

HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification

2023

Hierarchical text classification (HTC) is a challenging subtask of multi-label classification as the labels form a complex hierarchical structure. Existing dual-encoder methods in HTC achieve weak performance gains with huge memory overheads and their structure …

Continuous Self-Learning Control Under System Identification Based on Hopfield Neural Network

2024

Considering the dynamic modeling of an unknown and time-varying complex dynamic system in the model-based control, this paper develops a data-driven system identification method based on the Hopfield neural network (abbreviated as HNN). The normalization …

ToolExpNet: Optimizing Multi-Tool Selection in LLMs with Similarity and Dependency-Aware Experience Networks

2025

Tool learning enhances Large Language Models' (LLMs) dynamic interaction with external tools, improving their ability to solve complex problems.However, current empirical methods, which primarily focus on isolated tools learning, still struggle with accurate multi-tool selection …