Jilin Hu

Orcid: 0000-0002-7739-7769

According to our database¹, Jilin Hu authored at least 34 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Article

PhD thesis

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Bibliography

2024

Few-Shot Object Detection With Self-Supervising and Cooperative Classifier.

[BibT_eX]

[DOI]

Di Qi

Jilin Hu

Jianbing Shen

IEEE Trans. Neural Networks Learn. Syst., April, 2024

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods.

[BibT_eX]

[DOI]

CoRR, 2024

GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains.

[BibT_eX]

[DOI]

CoRR, 2024

2023

CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Origin-Destination Travel Time Oracle for Map-based Services.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, September, 2023

Sequence Labeling With Meta-Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

LightPath: Lightweight and Scalable Path Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

VeriReach: A Formally Verified Algorithm for Reachability Analysis in Virtual Private Cloud Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2023

2022

Semantic driven attention network with attribute learning for unsupervised person re-identification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Residual memory inference network for regression tracking with weighted gradient harmonized loss.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version.

[BibT_eX]

[DOI]

CoRR, 2022

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Evolutionary Clustering of Moving Objects.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems.

[BibT_eX]

[DOI]

Frederik Baymler Mathiesen

Bin Yang

Jilin Hu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Performance evaluation of low resolution visual tracking for unmanned aerial vehicles.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Evolutionary Clustering of Streaming Trajectories.

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised Path Representation Learning with Curriculum Negative Sampling.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Context-aware, preference-based vehicle routing.

[BibT_eX]

[DOI]

VLDB J., 2020

Spatial-Temporal Demand Forecasting and Competitive Supply via Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2020

Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

PACE: a PAth-CEntric paradigm for stochastic path finding.

[BibT_eX]

[DOI]

VLDB J., 2018

Risk-aware path selection with time-varying, uncertain travel costs: a time series approach.

[BibT_eX]

[DOI]

VLDB J., 2018

Recurrent Multi-Graph Neural Networks for Travel Cost Prediction.

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Route with Sparse Trajectory Sets - Extended Version.

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Route with Sparse Trajectory Sets.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Enabling time-dependent uncertain eco-weights for road networks.

[BibT_eX]

[DOI]

GeoInformatica, 2017

Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

2016

Path Cost Distribution Estimation Using Trajectory Data.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2016

Jilin Hu

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