Yu (Jade) Wang

Ph.D. candidate

The State Key Laboratory of Blockchain and Data Security, Zhejiang University
Visual Intelligence and Pattern Analysis (VIPA) Group
Zhejiang, China, 310000

Email: wangyu607 at 163 dot com

[Google Scholar] [GitHub]

Biography

I am currently a fourth-year Ph.D. candidate in the College of Computer Science and Technology at Zhejiang University and a member of VIPA Group, supervised by Prof. Mingli Song. In 2024, I was selected for the Doctoral Student Special Program of Youth Talent Project from China Association for Science and Technology (CAST).

My research focuses on AI for science, particularly spatiotemporal data modeling using graph learning techniques to address critical challenges in urban science. Key applications include urban planning, disaster management and epidemic prevention, leveraging urban mobility data to enhance data-driven decision-making.

Please feel free to contact me if you are interested in my research :)

News

[Jan 2025] One paper about graph condensation was accepted by WWW 2025.
[Jan 2025] I was honored to receive the Doctoral Student Special Program of Youth Talent Project from CAST.
[Dec 2024] I was honored to receive the BYD Scholarship.
[Dec 2024] One paper about holistic semantic mobility learning was accepted by AAAI 2025.
[Nov 2024] I was honored to receive the He Zhijun Scholarship.
[Oct 2024] I began to lead the Scientific Research Fund of Zhejiang Provincial Education Department (No.Y202457035).
[Sep 2024] I was honored to receive the Outstanding Practical Achievement Award of Zhejiang Province.
[May 2024] One paper about spatiotemporal dynamic mobility learning was accepted by IEEE TKDE.
[May 2024] One paper about graph condensation was accepted by ECML-PKDD 2024.
[Apr 2024] One paper about traffic mobility generation was accepted by Information Fusion.
[Feb 2024] One paper about epidemic modeling on mobility was accepted by iScience (Cell Press).
[Jan 2024] One paper about cross-city mobility transfer was accepted by WWW 2024.

[Show more]

Highlight Publications

^* denotes equal contribution.

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song
International World Wide Web Conference (WWW), 2024
[Paper] [arXiv] [Code]

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Yu Wang, Tongya Zheng, Shunyu Liu, Kaixuan Chen, Zunlei Feng, Yunzhi Hao, Mingli Song
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
[Paper] [arXiv] [Code]

Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning
Yu Wang, Ji Cao, Wenjie Huang, Zhihua Liu, Tongya Zheng, Mingli Song
Information Fusion (Top-tier Journal in Computer Science), 2024
[Paper] [Code]

Intensity and Drivers of Subtypes Interference Between Seasonal Influenza Viruses in Mainland China: A Modelling Study
Can Chen^*, Mengya Yang^*, Yu Wang^*, Daixi Jiang, Yuxia Du, Kexin Cao, Xiaobao Zhang, Xiaoyue Wu, Mengsha Chen, Yue You, Wenkai Zhou, Jiaxing Qi, Rui Yan, Changtai Zhu, Shigui Yang
iScience (Cell Press), 2024
[Paper]

Publications

^* denotes equal contribution.

2025

Disentangled Condensation for Large-scale Graphs
Zhenbang Xiao, Yu Wang, Shunyu Liu, Bingde Hu, Huiqiong Wang, Mingli Song, Tongya Zheng
International World Wide Web Conference (WWW), 2025
[arXiv] [Code]

Holistic Semantic Representation for Navigational Trajectory Generation
Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song
AAAI Conference on Artificial Intelligence (AAAI), 2025
[arXiv] [Code]

2024

Simple Graph Condensation
Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang, Mingli Song, Tongya Zheng
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024
[Paper] [arXiv] [Code]

2023

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper] [arXiv] [Code]

Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks
Yunzhi Hao, Yu Wang, Shunyu Liu, Tongya Zheng, Xingen Wang, Xinyu Wang, Mingli Song, Wenqi Huang, Chun Chen
International Conference on Neural Information Processing (ICONIP), 2023
[Paper]

2021

Learning dynamic preference structure embedding from temporal networks
Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu
IEEE International Conference on Big Knowledge (ICBK), 2021
[Paper] [arXiv] [Code]

Honors

Doctoral Student Special Program of Youth Talent Project from China Association for Science and Technology, 2025.
Scientific Research Fund of Zhejiang Provincial Education Department (Project Leader), 2024.
Outstanding Practical Achievement Award of Zhejiang Province, 2024.
BYD Scholarship, 2024.
He Zhijun Scholarship, 2024.
Outstanding Graduate Student Scholarship, 2023, 2024.
Merit Student Award, 2023, 2024.
Third Prize in China National Artificial Intelligence Competition (4/1729), 2022.
China National Scholarship, 2019.
Outstanding Undergraduate Student Scholarship, 2018, 2019, 2020.

Academic Services

Journal Reviewer

IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Intelligent Transportation Systems (TITS)

Conference Reviewer

KDD 2025

Hobbies

Exploring new experiences & Traveling (When not facing deadlines! 😉)

Physical Activities: walking, hiking, badminton, swimming, fitness training.
Creative Pursuits: reading, singing (non-professional), drawing, craft-making, ukulele (beginner).
Music: Taylor Swift, BuYi Mao.

Last updated on April 2025. Webpage template borrowed from Prof. Sida Peng.