Martin Saveski

Bio

I'm a second-year Master's student at School of Statistics, Renmin University of China. My research interests lie in applying machine learning and statistical theories to establish more effective and practically applicable models for sequential data modeling. Specifically, I focus on time series, point processes, and statistical learning theory.

News

I am seeking Ph.D. opportunities for the fall of 2025!

I am very willing to discuss intriguing research ideas with fellow researchers and look forward to engaging in in-depth collaboration, particularly in the areas of sequential data modeling, non-parametric Bayesian models, meta-learning, and spatiotemporal data mining.

Publications

Most recent publications on CV.
^‡ indicates equal contribution.

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Extrapolated Random Tree for Regression

Yuchao Cai, Yuheng Ma, Yiwei Dong, Hanfang Yang

Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3442-3468, 2023.

Paper Code

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning

Donglin Zhan^‡, Yusheng Dai^‡, Yiwei Dong^‡, Jinghai He, Zhenyi Wang, James Anderson

NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications.

Paper

Blind Source Separation-based IVA-Xception Model for Bird Sound Recognition in Complex Acoustic Environments

Yusheng Dai, Jin Yang, Yiwei Dong, Haipeng Zou, Mingzhi Hu, and Bin Wang

Electronics Letters, vol 57, no. 11 (2021): 454-456, 2021.

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