Weihai City, Shandong Province, China
2021.9-till now: Ph.D., School of Artificial Intelligence & Data Science, University of Science and Technology of China (majoring in Data Science (Computer Science and Technology), transferred from M.Eng. of Computer Technology with a successive postgraduate-doctoral program in Sep. 2023)
2017.9-2021.6: B.S., School of Mathematical Sciences, University of Science and Technology of China (majoring in Probablilty & Statistics)
Yuanhao Pu, Defu Lian, Xiaolong Chen, Jin Chen, Ze Liu, Enhong Chen. Understanding the Effect of Loss Functions on the Generalization of Recommendations. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025), accepted
Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen. Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. Proceedings of the 41st International Conference on Machine Learning, PMLR 235:41183-41203, 2024.
Yuanhao Pu, Rui Fan, Jin Chen, Zhihao Zhu, Defu Lian*, Enhong Chen. Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation. ACM Transactions on Recommender Systems (TORS), accepted, 2024.'
Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen. When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. World Wide Web(WWWJ) 27, 42 (2024).
Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Chenwang Wu, Hong Xie*, Defu Lian. Invariant Representation Learning via Decoupling Style and Spurious Features. Machine Learning Journal (MLJ), accepted, 2024.
Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian* and Enhong Chen. AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. The 32nd Web Conference (WWW 2023), pp. 1032-1042, Apr. 2023.
USTC Academic Scholarship, 2021.09, 2022.09, 2023.09
USTC Excellent Student Prize, 2021.01