Bio

Hello! I'm currently a PhD candidate in Electrical & Computer Engineering at New York University, fortunate to be advised by Prof. Wenqi Cui. I obtained my MSc in Statistics from Renmin University of China, under the guidance of Prof. Hanfang Yang and Prof. Hongteng Xu. I was also a visiting research intern at Carnegie Mellon University, co-hosted by Prof. Shixiang (Woody) Zhu and Prof. Holly Wiberg. My research interests lie in machine learning for sequential data modeling and sequential decision making. Specifically, I focus on reinforcement learning, stochastic process, control theory, and their applications in cyber-physical energy systems.

News

[2026/03] New paper on Data-Driven Successive Linearization for Optimal Voltage Control.
[2025/09] I am excited to begin my PhD journey at NYU in the fall of 2025!

I am eager to explore interesting research ideas with fellow scholars and look forward to engaging in in-depth collaboration, particularly in the areas of machine learning and control, as well as data-driven optimization for sustainable power systems.

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

IEEE Transactions on Signal Processing, vol 73, 2216-2226, 2025. A short version is accepted by NeurIPS 2024 workshop on Bayesian Decision-making and Uncertainty.

Paper Code

Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Model

Yiwei Dong, Tingjin Chu, Lele Zhang, Hadi Ghaderi, Hanfang Yang

Journal of Agricultural, Biological, and Environmental Statistics, 2025.

Paper

Extrapolated Random Tree for Regression

Yuchao Cai, Yuheng Ma, Yiwei Dong, Hanfang Yang

Proceedings of the 40th International Conference on Machine Learning (ICML), 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

Proceedings of the 2024 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2024.

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.

Paper Code Data

CV

Full Resume in PDF.

  1. Sep 2025 - present

    New York University, NY

    Ph.D. Student

  2. Sep 2022 – June 2025

    Renmin University of China, Beijing

    M.Sc. in Statistics

  3. May 2024 - Sep 2024

    Carnegie Mellon University, PA

    Visiting Research Intern

  4. Jan 2020 - May 2020

    University of Notre Dame, IN

    Semester Study Abroad

  5. Sep 2018 - June 2022

    Sichuan University, Chengdu

    B.Sc. in Statistics, Honors Degree

Misc

I enjoy violin, Broadway musicals, and home karaoke.
See you in New York City, in Antarctica, in the world!