Liang Su — accepted AI-conference papers

2026

TG-RAG: A Retrieval-Augmented Framework for Reasoning Guidance in Specialized Domains

Liang Su, Mingyang Zhang, Yun Xiong, Tengfei LIU, Siwei Zhang, Xi Chen +1

ICML 2026oral

Enhancing Large Reasoning Models (LRMs) for specialized domains remains a critical challenge. While recent industrial frameworks attempt to encapsulate Standard Operating Procedures into modular "skills" for dynamic retrieval, utilizing them via context engineering often proves insufficient for comp…

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2025

Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion

Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu +3

AAAI 2025technical

Recommender systems are increasingly prevalent to provide personalized suggestions and enhance user satisfaction. Typical recommendation models encode users and items as embeddings, and generate recommendations by assessing the similarity between these embeddings. Despite their effectiveness, these…

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