Yijing Shan — accepted AI-conference papers

2026

Data-Centric Sequential Recommendation with Relation-Augmented Generation

Yichen Li, Yichen Tan, Yijing Shan, Haozhao Wang, Rui Zhang, Imran Razzak +1

AAAI 2026technical

Data-Centric Sequential Recommendation (DaCSR) has emerged as a promising technique that enhances dataset quality to better capture user preferences without increasing training complexity. However, mining item relations to improve data quality remains challenging due to the intricate nature of inter

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2025

Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem

Yichen Li, Yijing Shan, YI LIU, Haozhao Wang, Cheng Wang, wangshi.ww +2

NeurIPS 2025spotlight

The current Federated Recommendation System (FedRS) focuses on personalized recommendation services and assumes clients are personalized IoT devices (e.g., Mobile phones). In this paper, we deeply dive into new but practical FedRS applications within the joint venture ecosystem. Subsidiaries engage…

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