Hongjun Wang

Orcid: 0000-0002-5396-7659

Affiliations:
  • University of Tokyo, Japan


According to our database1, Hongjun Wang authored at least 33 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Tiered Spatio-Temporal Difficulty: Curriculum Scheduler for Multi-Sensor Traffic Flow Prediction.
IEEE Trans. Mob. Comput., February, 2026

TrajGPT-R: Generating Urban Mobility Trajectory with Reinforcement Learning-Enhanced Generative Pre-trained Transformer.
CoRR, February, 2026

Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image Super-Resolution.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Resilience Inference for Supply Chains with Hypergraph Neural Network.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario.
IEEE Trans. Mob. Comput., December, 2025

HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image.
CoRR, November, 2025

Emergency Management in Japan: Human Decision-Making Strategy Analysis During Large-Scale Earthquake.
Trans. GIS, February, 2025

Robustifying Fourier Features Embeddings for Implicit Neural Representations.
CoRR, February, 2025

Assessing the Spatial-Temporal Causal Impact of COVID-19-Related Policies on Epidemic Spread.
ACM Trans. Knowl. Discov. Data, January, 2025

Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Not All Degradations are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
HoLens: A visual analytics design for higher-order movement modeling and visualization.
Comput. Vis. Media, December, 2024

TrafPS: A shapley-based visual analytics approach to interpret traffic.
Comput. Vis. Media, December, 2024

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting.
CoRR, 2024

On Feature Decorrelation in Cloth-Changing Person Re-identification.
CoRR, 2024

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario.
CoRR, 2024

Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification.
CoRR, 2024

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting.
CoRR, 2024

Robust Traffic Forecasting against Spatial Shift over Years.
CoRR, 2024

Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Multi-Task Weakly Supervised Learning for Origin-Destination Travel Time Estimation.
IEEE Trans. Knowl. Data Eng., November, 2023

ST-ExpertNet: A Deep Expert Framework for Traffic Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

Missing Road Condition Imputation Using a Multi-View Heterogeneous Graph Network From GPS Trajectory.
IEEE Trans. Intell. Transp. Syst., May, 2023

Discovering Key Sub-Trajectories to Explain Traffic Prediction.
Sensors, 2023

Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation.
CoRR, 2023

Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation.
IEEE Internet Things J., 2022

TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley.
CoRR, 2022

Generative Personalized Federated Learning Framework for Travel Time Estimation.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022


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