About(关于)

I am a second year Ph.D. student at Beihang SCSE. I am very fortunate to be advised by Prof. Leilei Sun.

我是来自北航计算机学院的一名博士生，我很荣幸能够被孙磊磊老师指导。

My research interests lie in large spatiotemporal model, large vision-language model, and generative models. I aim to build general urban intelligence matching or even beyond human intelligence.

我的研究兴趣点在于时空大模型, 视觉-语言大模型, 以及生成模型. 我希望能够通过我和一众学者的努力能够构建达到甚至超越人类能力的通用城市智能。

Unfortunately, my research career is not peace. I, as the first author, after one paper being luckily accepted(IJCAI2022), have been rejected six times in a row(KDD2023, AAAI2023, KDD2024, AAAI2024, NeurIPS2025*2). After another one paper being accepted(KDD2025 Aug), another three were rejected(AAAI2025, ICML2025, KDD2025 Feb, AAAI2026, KDD2026 Aug). This may be related to my previous lack of focus on a research direction. I hope that both myself and you who see this homepage will be more determined and lucky.

不幸的是，我的研究生涯不是那么顺利。我幸运了中稿一次后(IJCAI2022)，作为第一作者的论文已经被连续拒稿6次了(KDD2023, AAAI2023, KDD2024, AAAI2024, NeurIPS2025*2)，又幸运了中稿一次后(KDD2025 Aug)，又有五篇被拒(AAAI2025, ICML2025, KDD2025 Feb, AAAI2026, KDD2026 Aug)。这可能与我此前没有专注于一个研究方向有关。希望我和看到这个主页的你都会更坚定，更幸运。

Publications(一些微小的工作)

Eyes Will Shut: A Vision-Based Next GPS Location Prediction Model by Reinforcement Learning from Visual Map Feed Back
Ruixing Zhang, Yang Zhang, Tongyu Zhu, Leilei Sun, Weifeng Lv
Arxiv 2025
[Arxiv]

Urban In-Context Learning: Bridging Pretraining and Inference through Masked Diffusion for Urban Profiling
Ruixing Zhang, Bo Wang, Tongyu Zhu, Leilei Sun, Weifeng Lv
Arxiv 2025
[Arxiv]

Large-scale Human Mobility Data Regeneration for Open Urban Research
Ruixing Zhang, Yunqi Liu, Liangzhe Han, Leilei Sun, Charles Liu, Jibin Wang, Weifeng Lv
KDD 2025

Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing
Ruixing Zhang, Liangzhe Han, Leilei Sun, Yunqi Liu, Jibin Wang, Weifeng Lv
Arxiv 2024
[Arxiv] [GitHub]

Generic and dynamic graph representation learning for crowd flow modeling
Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu
AAAI 2023
[PDF] [GitHub]

Dynamic graph learning based on hierarchical memory for origin-destination demand prediction
Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun
IJCAI 2022
[Arxiv] [GitHub]

Deep heterogeneous network for temporal set prediction
Nannan Shi, Le Yu, Leilei Sun, Lihua Wang, Chunming Lin, Ruixing Zhang
KBS 2021
[Link]