Hongjun Wang (王宏俊)

I'm currently a Ph.D. Candidate at Department of Mechano-Informatics, The University of Tokyo, supervised by Prof. Yinqiang Zheng. Prior to this, I attained my master's degree, supervised by Prof. Xuan Song from the Department of Computer Science at Southern University of Science and Technology. I earned my B.S. degree in Information and Computer Science from Nanjing University of Posts and Telecommunications.

Email  /  Google Scholar   /   CV  

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Interns

2024.10 - NOW: AI for Science Research Intern, at Shanghai AI Lab, mentored by Mao Su.
2023.6 - 2023.09: CUHK, at Center for Mathematical Artificial Intelligence, mentored by Tieyong Zeng.
2022.07 - 2023.02: Data, Knowledge, and Intelligence, Microsoft Research Asia, mentored by Lun Du.


Publications
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting
Hongjun Wang, Jiyuan Chen, Lingyu Zhang, Renhe Jiang, Xuan Song
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024. (under review)
paper / code
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario
Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024. (under review)
paper / code
Robust Traffic Forecasting against Spatial Shift over Years
Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024. (under review)
paper / code
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song
IEEE Transactions on Intelligent Transportation Systems (T-ITS) 2024. (under review)
paper / code
Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution
Hongjun Wang, Jiyuan Chen, Yinqiang Zheng, Tieyong Zeng
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024.
paper / code
Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan
Zhang Zhiwen, Hongjun Wang, Zipei Fan, Ryosuke Shibasaki, Xuan Song
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM) 2023.
paper
TrafPS: A shapley-based visual analytics approach to interpret traffic
Zezheng Feng, Yifan Jiang, Hongjun Wang, Zipei Fan, Shuang-Hua Yang, Huamin Qu, and Xuan Song
Computational Visual Media (CVMJ) 2023.
paper
HoLens: A visual analytics design for higher-order movement modeling and visualization
Zezheng Feng, Fang Zhu, Hongjun Wang, Jianing Hao, Shuang-Hua Yang, Wei Zeng, Huamin Qu
Computational Visual Media (CVMJ) 2024.
paper
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Xuan Song
The 32nd International Joint Conference on Artificial Intelligence (IJCAI), Macao, August 2023.
paper
Missing Road Condition Imputation Using a Multi view Heterogeneous Graph Network from GPS Trajectory
Zhiwen Zhang, Hongjun Wang, Zipei Fan, Xuan Song, and Ryosuke Shibasaki
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.
paper
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Boyuan Zhang, Renhe Jiang, Xuan Song
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
paper
Discovering Key Sub-trajectories To Explain the Traffic Prediction
Hongjun Wang, Zipei Fan, Jiyuan Chen, Lingyu Zhang, Xuan Song
Sensors, 2022.
paper
Multi‑task Weakly Supervised Learning for Origin–Destination Travel Time Estimation
Hongjun Wang, Zhiwen Zhang, Zipei Fan, Jiyuan Chen, Xuan Song, Ryosuke Shibasaki
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
paper
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction
Hongjun Wang, Jiyuan Chen, Zipei Fan, Zekun Cai, Ryosuke Shibasaki, Xuan Song
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022.
paper
Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories
Zhiwen Zhang, Hongjun Wang, Zipei Fan, Jiyuan Chen, Xuan Song, Ryosuke Shibasaki
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2022.
paper
Multi-modal graph interaction for multi-graph convolution network in urban spatiotemporal forecasting
Lingyu Zhang, Xu Geng, Zhiwei Qin, Hongjun Wang, Xuan Song, Yunhai Wang
Sustainability, 2022.
paper

Awards/Scholarships

SPRING GX, The University of Tokyo, 2023.10 - Now
SUSTech Fellowship Program, 2023.10 - Now
Shibasaki Scholarship, 2024.10 - Now
Star of Tomorrow Internship program in Microsoft Research Asia


The template comes from the personal website of Jon Barron.