6 citations · 9 across the 8 of their papers we have counts for
8 papers
A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding
Shuai Wang, Hongyi Zhu, Jia-Hong Huang +6
Understanding artworks requires multi-step reasoning over visual content and cultural, historical, and stylistic context. While recent multimodal large language models show promise…
From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI
Hongyin Zhu, Jinming Liang, Mengjun Hou +5
Existing LLM-based agent systems share a common architectural failure: they answer from the unrestricted knowledge space without first simulating how active business scenarios resh…
Unifying Ontology Construction and Semantic Alignment for Deterministic Enterprise Reasoning at Scale
Hongyin Zhu
While enterprises amass vast quantities of data, much of it remains chaotic and effectively dormant, preventing decision-making based on comprehensive information. Existing neuro-s…
Challenges and Responses in the Practice of Large Language Models
Hongyin Zhu
This paper carefully summarizes extensive and profound questions from all walks of life, focusing on the current high-profile AI field, covering multiple dimensions such as industr…
Architectural Foundations for the Large Language Model Infrastructures
Hongyin Zhu
The development of a large language model (LLM) infrastructure is a pivotal undertaking in artificial intelligence. This paper explores the intricate landscape of LLM infrastructur…
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks
Hongyin Zhu
Graph data, also known as complex network data, is omnipresent across various domains and applications. Prior graph neural network models primarily focused on extracting task-speci…