Yuanhao Pu

According to our database, Yuanhao Pu authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Beyond Surrogates: A Quantitative Analysis for Inter-Metric Relationships.

Yuanhao Pu, Defu Lian, Enhong Chen

CoRR, March, 2026

FlashEvaluator: Expanding Search Space with Parallel Evaluation.

Chao Feng, Yuanhao Pu, Chenghao Zhang, Shanqi Liu, Shuchang Liu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai

CoRR, March, 2026

SOLAR: SVD-Optimized Lifelong Attention for Recommendation.

Chenghao Zhang, Chao Feng, Yuanhao Pu, Xunyong Yang, Wenhui Yu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai

CoRR, March, 2026

Is Softmax Loss All You Need? A Principled Analysis of Softmax-family Loss.

Yuanhao Pu, Defu Lian, Enhong Chen

CoRR, January, 2026

2025

Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation.

Yuanhao Pu, Rui Fan, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen

Trans. Recomm. Syst., September, 2025

NDCG-Consistent Softmax Approximation with Accelerated Convergence.

Yuanhao Pu, Defu Lian, Xiaolong Chen, Xu Huang, Jin Chen, Enhong Chen

CoRR, June, 2025

Invariant representation learning via decoupling style and spurious features.

Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Chenwang Wu, Hong Xie, Defu Lian

Mach. Learn., January, 2025

Conflict-Buffering Optimization by Symmetry Teleportation for Deep Long-Tailed Recognition.

Mianzimei Yang, Zhipeng Zhou, Jin Zhang, Yuanhao Pu, Hong Xie, Defu Lian

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Understanding the Effect of Loss Functions on the Generalization of Recommendations.

Yuanhao Pu, Defu Lian, Xiaolong Chen, Jin Chen, Ze Liu, Enhong Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

When large language models meet personalization: perspectives of challenges and opportunities.

Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen

World Wide Web (WWW), July, 2024

Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction.

Qi Liu, Xingyuan Tang, Jianqiang Huang, Xiangqian Yu, Haoran Jin, Jin Chen, Yuanhao Pu, Defu Lian, Tan Qu, Zhe Wang, Jia Cheng, Jun Lei

CoRR, 2024

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation.

Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Invariant Representation Learning via Decoupling Style and Spurious Features.

Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Hong Xie, Defu Lian

CoRR, 2023

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.

Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen

CoRR, 2023

AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation.

Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen

Proceedings of the ACM Web Conference 2023, 2023