Yiwei Dong
Master's student, Renmin University of China
ydong [AT] ruc.edu.cn
Bio
Hello! I'm a Master's student at School of Statistics, Renmin University of China under the guidance of Prof. Hongteng Xu and Prof. Hanfang Yang. I'm also a visiting research intern at Carnegie Mellon University, co-advised by Prof. Shixiang (Woody) Zhu and Prof. Holly Wiberg. 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 Bayesian methods, time series, point processes, and machine 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 and sequential decision making, Bayesian models, meta-learning, and spatiotemporal data mining.
Publications
Most recent publications on CV.
‡ indicates equal contribution.
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior
Yiwei Dong, Shaoxin Ye, Yuwen Cao, Qiyu Han, Hongteng Xu, Hanfang Yang
Under Review. A short version is accepted by NeurIPS 2024 workshop on Bayesian Decision-making and Uncertainty.
Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Model
Yiwei Dong, Tingjin Chu, Lele Zhang, Hadi Ghaderi, Hanfang Yang
Under Review.
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.
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning
Donglin Zhan‡, Yusheng Dai‡, Yiwei Dong‡, Jinghai He, Zhenyi Wang, James Anderson
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2024.
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.
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior
Yiwei Dong, Shaoxin Ye, Yuwen Cao, Qiyu Han, Hongteng Xu, Hanfang Yang
Under Review. A short version is accepted by NeurIPS 2024 workshop on Bayesian Decision-making and Uncertainty.
Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Model
Yiwei Dong, Tingjin Chu, Lele Zhang, Hadi Ghaderi, Hanfang Yang
Under Review.
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.
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning
Donglin Zhan‡, Yusheng Dai‡, Yiwei Dong‡, Jinghai He, Zhenyi Wang, James Anderson
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2024.
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.
CV
Full Resume in PDF.
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Renmin University of China, Beijing Sep 2022 – June 2025M.Sc. Student
Master's in Statistics (Research-based) -
Carnegie Mellon University, US May 2024 - Sep 2024Student Research Intern
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University of Notre Dame, US Jan 2020 - May 2020Undergraduate Exchange Student
College of Science -
Sichuan University, Chengdu Sep 2018 - June 2022B.Sc. in Statistics
College of Mathematics & Wuyuzhang Honors College
Honors Student Program