Xin Yu

Ph.D. student
Email: xinlucasyu1026@gmail.com
About me

I am currently a Ph.D. Candidate in Statistics at The Pennsylvania State University and am honored to be advised by Prof. Lingzhou Xue. Before that, I obtained my master's degree at Penn State in 2025 and obtained my bachelor's degree in Statistics from Nankai University in 2023. I was also fortunate to be supervised by Prof. Changliang Zou for my undergraduate thesis.

Research Interests
  • Statistical Machine Learning: Interpretability, Generalization, and Robustness.
  • Post-Training in Foundation Models: Infrastructure Efficiency, Reasoning, and Human Alignment.
News
    • 2026-02-06 Our paper has been accepted to ICLR 2026. 🧑‍💻
    • 2026-01-19 Started my internship at TikTok, focusing on multimodal understanding and exploring continual learning + agent-based automated error correction. ✨
    • 2025-12-01 Presented a poster at Neurips 2025, San Diego Convention Center.☀️
    • 2025-07-22 Presented a poster at ICML 2025, Vancouver Convention Center.☀️
    • 2025-05-22 Summer internship in Seattle at ByteDance Seed Infra🧑‍💻 ; worked with Cong Xie and Zhi Zhang.
    • 2023-05-01 Thrilled to share that I’ve completed my five-month internship at Microsoft Research Asia(MSRA); grateful to work with Yan Lu and Xiaoyi Zhang; honored with the Stars of Tomorrow award! 🧑‍💻
Some representative works

See Google Scholar for an updated list of publications.

[AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections]
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
Xin Yu, Yujia Wang, Jinghui Chen, Lingzhou Xue
Neural Information Processing Systems NeurIPS, 2025
[Paper] [Code]

[Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees]
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
Xin Yu, Zelin He, Ying Sun, Lingzhou Xue, Runze Li
International Conference on Machine Learning ICML, 2025
[Paper] [Code]

Service
Reviewer
  • The Thirteenth International Conference on Learning Representations (ICLR 2025): 5.
  • 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026): 2.
  • 2025 IEEE Transactions on Circuits and Systems for Video Technology: 1.
  • 2026 Pattern Recognition: 1.
  • 2026 IEEE Transactions on Neural Networks and Learning: 3.
  • International Journal of Data Science and Analytics: 1.
  • KDD 2026 AI4Sciences Track: 3.
  • Forty-Third International Conference on Machine Learning (ICML 2026): 6.
  • ECCV 2026: 2.
Conference / Seminar Organizer
  • 2025-11-01 🎤 Co-organizer of the session “Low-Rank Adaptation for Efficient Fine-Tuning in Foundation Models” at 2025 SIAM NNP Conference, Penn State.
Teaching Assistent/ Consultant
  • Statistical Consultant at Statistical Consulting Center
  • TA: STAT 184 : Introduction to R; STAT 400 : Statistical Modeling II; STAT 440: STAT 440: Computational Statistics