Yaxin Shi — accepted AI-conference papers

2026

GenMatLab: A Generative Platform for Inverse Materials Design

Hangwei Qian, Yang He, Yaxin Shi, Ivor Tsang

AAAI 2026technical

In this demo, we present GenMatLab, a user-friendly web platform that makes latest AI techniques accessible for inverse materials design. The platform integrates data analysis and generative modeling into an easy-to-use interface, enabling researchers, material domain experts, and practitioners to e

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2025

Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey

Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor Tsang, Yew-Soon Ong

IJCAI 2025

Grounding open-domain knowledge from large language models (LLMs) into real-world reinforcement learning (RL) tasks represents a transformative frontier in developing intelligent agents capable of advanced reasoning, adaptive planning, and robust decision-making in dynamic environments. In this pape

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