Yuru Li — accepted AI-conference papers

2023

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction

Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong

AAAI 2023technical

Click-through rate (CTR) prediction is one of the fundamental tasks in online advertising and recommendation. Multi-layer perceptron (MLP) serves as a core component in many deep CTR prediction models, but it has been widely shown that applying a vanilla MLP network alone is ineffective in learning…

Cited by 88 Source ↗PDF ↗code ↗Scholar ↗

2023

Multiple Robust Learning for Recommendation

Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou +1

AAAI 2023technical

In recommender systems, a common problem is the presence of various biases in the collected data, which deteriorates the generalization ability of the recommendation models and leads to inaccurate predictions. Doubly robust (DR) learning has been studied in many tasks in RS, with the advantage that…

Cited by 40 Source ↗PDF ↗Scholar ↗