Qingmei Wang (王庆梅 in Chinese) is currently a fourth-year PhD student at the Gaoling School of Artificial Intelligence, Renmin University of China, under the supervision of Prof. Hongteng Xu.

Her research lies in structured data-oriented machine learning and applications. In particular, She focuses on temporal point process, optimal transport and deep learning.

Feel free to reach her at qingmeiwang@ruc.edu.cn for collaborations or discussions!

Selected Publications

: A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes; Qingmei Wang, Yuxin Wu, Yujie Long, Jing Huang, Fengyuan Ran, Bing Su, Hongteng Xu; The Annual Conference on Artificial Intelligence (AAAI), 2025

: Hierarchical Contrastive Learning for Temporal Point Processes; Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu; Oral Presentation in The Annual Conference on Artificial Intelligence (AAAI), 2023

Service

Conference Reviewer: ICML (2023-2024), NeurIPS (2023-2024), ICLR (2024), KDD (2024).

Teaching

2024, Massive Data Mining (Teaching Assistant)
2023, Introduction to Machine Learning (Teaching Assistant)