Shuhan Guo — accepted AI-conference papers

2025

Nested-Refinement Metamorphosis: Reflective Evolution for Efficient Optimization of Networking Problems

Shuhan Guo, Nan Yin, James Kwok, Quanming Yao

ACL 2025finding

Large Language Models (LLMs) excel in network algorithm design but suffer from inefficient iterative coding and high computational costs. Drawing inspiration from butterfly metamorphosis—where structured developmental phases (Phase I: larval nutrient accumulation → Phase II: pupal transformation) en…

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2025

Unified Molecule-Text Language Model with Discrete Token Representation

Shuhan Guo, Yatao Bian, Ruibing Wang, Nan Yin, Zhen Wang, Quanming Yao

IJCAI 2025

The remarkable success of Large Language Models (LLMs) across diverse tasks has driven the research community to extend their capabilities to molecular applications. However, most molecular LLMs employ adapter-based architectures that fail to equally integrate molecule and text modalities and lack e

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