Chuang Yang (杨闯)
Ph.D. Candidate (Oct. 2022 ~ Sept. 2025).
Department of Information & Communication Engineering, The University of Tokyo.
Email: chuang.yang_AT_csis.u-tokyo.ac.jp
Address 1: Ew-601, Institute of Industrial Science, Komaba 4-6-1, Meguro-ku, Tokyo, Japan 153-8505
Address 2: 435, Kashiwa Research Complex, Kashiwanoha 5-1-5, Kashiwa, Chiba, Japan 277-8561
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About me
[CV]
I'm currently a Ph.D. Candidate at
Department of Information & Communication Engineering/電子情報学専攻, The University of Tokyo,
supervised by Prof.
Kaoru Sezaki. Before that, I received my master degree under the supervision of Prof. Ryosuke Shibasaki and Prof. Renhe Jiang at Center for Spatial Information Science/空間情報科学研究センター, The University of Tokyo. I received my B.S. degree in Computer Science in 2019 from Southern University of Science and Technology (SUSTech, 南方科技大学), Shenzhen, China, where I was also a member of
Database Group@SUSTech, supervised by Prof.
Bo Tang.
Research Interests: All about Trajectory and Mobility Data.
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LLM for Large-scale Human Mobility Modeling (Ongoing*)
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Mobility Data Management (VLDB 25)
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Mobility Simulation & Generation (TSAS 22,
NeurIPS 24)
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Mobility Visualization (ICDE 19,
TVCG 22,
BDMS)
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Deep Learning for Mobility Prediction at Different Spatial Scale
I extremely enjoy discussing research with people; it brings me immense joy and happiness, and it's what fascinates me the most. Therefore, if you are interested in my research or would like to know my views and suggestions on certain topics, or if there are potential suitable job opportunities, feel free to contact me via email anytime. Let's chat and explore more possibilities together!
我极其喜欢和人聊研究，这对我来说是莫大的快乐和幸福，也是我最着迷的事情。因此如果您对我的研究感兴趣，或者希望了解我对某些 topics 的看法和建议，抑或着是有潜在的合适工作机会，诸如此类。随时欢迎您通过邮件联系我，让我们一起唠唠嗑，探索更多可能性！
私は人と研究について話すことが非常に好きで、それは私にとって大きな喜びと幸せであり、最も魅了されることです。したがって、もしあなたが私の研究に興味を持っている場合や、特定のトピックについての私の見解や提案を知りたい場合、あるいは潜在的な適切な仕事の機会などがあれば、いつでもメールでご連絡ください。一緒におしゃべりしながら、もっと多くの可能性を探求しましょう！
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News
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[Pinned]
Actively searching for a job opportunity (Remote/Onsite).
If you are interested in my background, please feel free to contact me.
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[2025/04/07]
I will join
Woven City
this summer as a machine learning research and engineering intern.
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[2024/12/17]
Presented a poster at the Australasian Database Conference (ADC 2024).
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[2024/10/29]
Entered top 3 in all evaluation metrics, with a Mean Rank of 1st in
HuMob'24 @SIGSPATIAL!
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[2024/10/15]
One first-authored paper on
Trajectory Similarity Learning
has been accepted by PVLDB.
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[2024/09/30]
We made it into the top 10 out of the 100+ participating teams in HuMob'24 @SIGSPATIAL!
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[2024/09/26]
Two co-authored papers have been accepted by NeurIPS 24.
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[2023/09/09]
One co-authored paper in collaboration with TOYOTA on POI Rec has been accepted by SIGSPATIAL 23.
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[2023/08/24]
One co-authored paper on Crowd Prediction has been accepted by IEEE TMC.
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[2023/06/14]
I will leave
Suzumura Lab
and start a new phase of my academic journey!
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[2023/01/26]
One co-authored paper in collaboration with FIU has been accepted by WWW 23.
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[2022/10/21]
Introduce our TVCG paper on
Epidemic Simulation and Visualization
at IEEE VIS 2022.
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[2022/09/16]
My proposal Deep Representation Learning for Heterogeneous Mobility Graph successfully passed the screening of
SPRING GX Project
(35 out of 150)!
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[2022/09/08]
In this October, I will join the
Suzumura Lab
to purse my PhD degree!
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[2022/06/15]
One co-authored paper on
GNN for Epidemic Prediction
has been accepted by ECML PKDD'22.
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[2022/05/24]
One survey paper in collaboration with FIU has been accepted by ACM CSUR.
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[2022/03/22]
One first-authored paper on
Epidemic Simulation and Visualization
has been accepted by IEEE TVCG.
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[2022/03/08]
Invited to serve as a Program Committee member at ECML PKDD'22.
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[2022/01/26]
One co-authored paper (extended abstract) has been accepted by ICDE 2022 TKDE Poster Track.
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[2022/01/14]
One first-authored survey paper about
MaaS System Visualization
is available online.
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[2021/10/10]
One second-authored paper has been accepted by ACM TSAS SI.
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[2021/06/21]
One co-authored paper has been accepted by ACM TIST SI.
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[2021/06/19]
One co-authored paper has been accepted by ECML PKDD 2021.
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[2021/04/27]
One co-authored paper collaborated with Yahoo! Japan has been accepted by IEEE TKDE.
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[2019/02/02]
One first-authored paper on
Visualization-assisted Big Trajectory Data Exploration
has been accepted by IEEE ICDE'19. This is the first paper of my life!
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Publications
*Corresponding author
[Google Scholar here]
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2024
- Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, Chuan Xiao.
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation.
Proc. of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2024.
2023
- Zekun Cai, Renhe Jiang, Xinlei Lian, Chuang Yang, Zhaonan Wang, Zipei Fan, Kota Tsubouchi, Hill Hiroki Kobayashi, Xuan Song, and Ryosuke Shibasaki.
Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks.
IEEE Transactions on Mobile Computing (TMC), 2023.
- Renhe Jiang, Zhaonan Wang, Yudong Tao, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen and Mei-Ling Shyu.
Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster.
Proc. of the 32th International World Wide Web Conference (WWW), Austin, Texas, USA, April 2023.
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2022
- Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki.
MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks.
Proc. of the 26th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Grenoble, France, September 2022.
- Yudong Tao, Chuang Yang, Tianyi Wang, Erik Coltey, Yanxiu Jin, Yinghao Liu, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu, Steven Luis.
A Survey on Data-Driven COVID-19 and Future Pandemic Management.
ACM Computing Surveys (CSUR), 2022.
- Chuang Yang, Zhiwen Zhang, Zipei Fan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki.
EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022.
[demo]
[slides]
[pdf]
[supp]
- Chuang Yang, Renhe Jiang, Ryosuke Shibasaki.
MaaS System Visualization.
Big Data and Mobility as a Service, 9, 245-263, Elsevier, 2022.
- Zipei Fan, Chuang Yang, Zhiwen Zhang, Xuan Song, Yinghao Liu, Renhe Jiang, Quanjun Chen, Ryosuke Shibasaki.
Human Mobility based Individual-level Epidemic Simulation Platform.
ACM Transactions on Spatial Algorithms and Systems (TSAS), 8 (3), 1-16, 2022.
- Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Xuan Song, Ryosuke Shibasaki.
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System.
ACM Transactions on Intelligent Systems and Technology (TIST), 13 (2), 1-24, 2022.
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2021
- Yudong Tao, Renhe Jiang, Erik Coltey, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Mei-Ling Shyu, Shu-Ching Chen.
Data-Driven In-Crisis Community Identification for Disaster Response and Management.
Proc. of the 7th IEEE International Conference on Collaboration and Internet Computing (CIC), Virtual, December 2021.
- Renhe Jiang, Zhaonan Wang, Zekun Cai, Chuang Yang, Zipei Fan, Tianqi Xia, Go Matsubara, Hiroto Mizuseki, Xuan Song, Ryosuke Shibasaki.
Countrywide OD Matrix Prediction for COVID-19.
Proc. of the 25th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Basque Country, Spain, September 2021.
- Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki.
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
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2020
- Zipei Fan, Xuan Song, Yinghao Liu, Zhiwen Zhang, Chuang Yang, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki.
Human mobility based individual-level epidemic simulation platform (News Letter).
Proc. of the 28th International Conference on Advances in Geographic Information Systems (SIGSPATIAL), Seattle, USA, November 2020.
- Quanjun Chen, Renhe Jiang, Chuang Yang, Zekun Cai, Zipei Fan, Kota Tsubouchi, Ryosuke Shibasaki, Xuan Song.
DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction.
Proc. of the 28th International Conference on Advances in Geographic Information Systems (SIGSPATIAL), Seattle, USA, November 2020.
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2019
- Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki.
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction.
arXiv preprint arXiv:1911.06982, Novermber 2019.
- Chuang Yang, Yilan Zhang, Bo Tang, Min Zhu.
Vaite: a Visualization-assisted Interactive Big Urban Trajectory Data Exploration System.
Proc. of the 35th IEEE International Conference on Data Engineering (ICDE), Macau, China, April 2019.
[slides]
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