Welcome to my homepage! I am Junyilin Lin, currently a second-year Ph.D. student at the Institute of Statistics and Big Data, Renmin University of China, under the supervision of Dr. Cheng Meng and Dr. Kejun He. Prior to this, I received my B.S. degree from the School of Statistics and Data Science, Nankai University, where I was supervised by Prof. Yongdao Zhou.

My current research interests lie primarily in Optimal Transport, Generative Models, Data Efficiency and Multimodal alignment. Please feel free to contact me if you are interested in any of my research topics!

News

• May, 2026: Our latest paper, Sparsification Subsampling for Partial Least Squares Regression, was accepted by JCGS.✨
• Apr, 2026: I was invited to present a poster at FAIC 2026 in Shanghai!🖼️
• Apr, 2026: I was invited to give a talk at the Mao Shisong Statistical Education Doctoral Forum in Chengdu (Link)!🎤
• Jan, 2026: Our new paper, An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-based Representation, was accepted to ICLR 2026.🎉🎉🎉
• Apr, 2025: I received a Travel Award and was invited to give a talk at the Doctoral Forum of the 2025 Annual Conference of the Youth Statisticians Association (Link).🏆

Selected Papers

ICLR

An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-based Representation

Junyi Lin, Dunyao Xue, Jun Yu, Hongteng Xu, Cheng Meng

The Fourteenth International Conference on Learning Representations, 2026

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JCGS

Sparsification Subsampling for Partial Least Squares Regression

Junyi Lin, Mengyu Li, Cheng Meng, Yongdao Zhou

Journal of Computational and Graphical Statistics, 2026

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