AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. - Rui Fan; Yuanhao Pu; Jin Chen 008; Zhihao Zhu 002; Defu Lian; Enhong Chen (WWW, 2023)

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. - Jin Chen 008; Zheng Liu 011; Xu Huang 008; Chenwang Wu; Qi Liu 003; Gangwei Jiang; Yuanhao Pu; Yuxuan Lei; Xiaolong Chen; Xingmei Wang 001; Defu Lian; Enhong Chen (CoRR, 2023)

Invariant Representation Learning via Decoupling Style and Spurious Features. - Ruimeng Li; Yuanhao Pu; Zhaoyi Li; Hong Xie 004; Defu Lian (CoRR, 2023)

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. - Yuanhao Pu; Xiaolong Chen; Xu Huang 008; Jin Chen 008; Defu Lian; Enhong Chen (ICML, 2024)

Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction. - Qi Liu 003; Xingyuan Tang; Jianqiang Huang; Xiangqian Yu; Haoran Jin; Jin Chen 008; Yuanhao Pu; Defu Lian; Tan Qu; Zhe Wang 060; Jia Cheng; Jun Lei (CoRR, 2024)

When large language models meet personalization: perspectives of challenges and opportunities. - Jin Chen 008; Zheng Liu 011; Xu Huang 008; Chenwang Wu; Qi Liu 003; Gangwei Jiang; Yuanhao Pu; Yuxuan Lei; Xiaolong Chen; Xingmei Wang 001; Kai Zheng 001; Defu Lian; et al. (World Wide Web (WWW), 2024)

Understanding the Effect of Loss Functions on the Generalization of Recommendations. - Yuanhao Pu; Defu Lian; Xiaolong Chen; Jin Chen 008; Ze Liu; Enhong Chen (KDD (1), 2025)

Invariant representation learning via decoupling style and spurious features. - Ruimeng Li; Yuanhao Pu; Zhaoyi Li; Chenwang Wu; Hong Xie 004; Defu Lian (Mach. Learn., 2025)

NDCG-Consistent Softmax Approximation with Accelerated Convergence. - Yuanhao Pu; Defu Lian; Xiaolong Chen; Xu Huang 008; Jin Chen 008; Enhong Chen (CoRR, 2025)

Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation. - Yuanhao Pu; Rui Fan; Jin Chen 008; Zhihao Zhu 002; Defu Lian; Enhong Chen (Trans. Recomm. Syst., 2025)