Jilin Hu

Ph.D., Department of Computer Science at Aalborg University
Selma Lagerlöfs Vej 300, 9220 Aalborg East, Denmark
hujilin [at] cs.aau.dk
+45 99048891
Google scholar | DBLP

Jilin Hu is an Associate Professor at the Department of Computer Science, Aalborg University. Prior to that, he was a tenure-track Assistant Professor at the Department of Computer Science, Aalborg University. He was a Research Assocaite at Inception Institute of Artificial Intelligence (UAE) under the supervision of Prof. Jianbing Shen. He obtained the Ph.D. degree from Aalborg Unviersity in 2019, under the supervision of Prof. Christian S. Jensen and Prof. Bin Yang. From Oct. 2017 to April. 2018, he visited University of California, Berkeley under the supervision of Prof. Alexandre Bayen.

Research interest: Spatio-Temporal Data Management, Traffic Data Analysis, Graph Neural Network

Never stop looking for highly self-motivated students.

News

Sep 22, 2022	I am elected as the Chair of Computer Society Chapter, IEEE Denmark Section!
Aug 20, 2022	One paper “Few-Shot Object Detection with Self-Supervising and Cooperative Classifier” is accepted by IEEE TNNLS!
Aug 1, 2022	I am promoted to Assocate Professor!
Jun 27, 2022	One paper is accepted by Knowledge-Based Systems!

Selected Publications

(# Corresponding Author)

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

Sean Bin Yang, Chenjuan Guo, Jilin Hu^# , Bin Yang, Jian Tang, and Christian S. Jensen

2022

arXiv Bib Code
@article{DBLP:journals/corr/abs-2203-16110, author = {Yang, Sean Bin and Guo, Chenjuan and Hu, Jilin and Yang, Bin and Tang, Jian and Jensen, Christian S.}, title = {Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version}, booktitle = {38th {IEEE} International Conference on Data Engineering, {ICDE}}, year = {2022}, bibtex_show = {true}, abbr = {ICDE}, selected = {true}, corr = {true}, code = {https://github.com/Sean-Bin-Yang/TPR.git}, arxiv = {https://arxiv.org/abs/2203.16110} }

AAAI

Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems

Frederik Mathiesen, Bin Yang, and Jilin Hu^#

2022

Bib Code

@article{aaai22_hamilton,
  author = {Mathiesen, Frederik and Yang, Bin and Hu, Jilin},
  title = {Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems},
  booktitle = {AAAI},
  year = {2022},
  bibtex_show = {true},
  abbr = {AAAI},
  selected = {true},
  corr = {true},
  code = {https://github.com/Zinoex/hyperverlet}
}

IJCAI

Unsupervised Path Representation Learning with Curriculum Negative Sampling

Sean Bin Yang, Chenjuan Guo, Jilin Hu^# , Jian Tang, and Bin Yang

In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021 2021

arXiv Bib PDF Code

@inproceedings{DBLP:conf/ijcai/YangGHT021,
  author = {Yang, Sean Bin and Guo, Chenjuan and Hu, Jilin and Tang, Jian and Yang, Bin},
  title = {Unsupervised Path Representation Learning with Curriculum Negative Sampling},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on Artificial
                 Intelligence, {IJCAI} 2021, Virtual Event / Montreal, Canada, 19-27
                 August 2021},
  pages = {3286--3292},
  year = {2021},
  bibtex_show = {true},
  abbr = {IJCAI},
  pdf = {IJCAI21.pdf},
  selected = {true},
  corr = {true},
  code = {https://github.com/Sean-Bin-Yang/Path-InfoMax.git},
  arxiv = {https://arxiv.org/abs/2106.09373}
}

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

Jilin Hu , Bin Yang, Chenjuan Guo, Christian S. Jensen, and Hui Xiong

In 36th IEEE International Conference on Data Engineering, ICDE, Dallas, TX, USA, April 20-24 2020

Bib PDF Code
@inproceedings{DBLP:conf/icde/Hu0GJX20, author = {Hu, Jilin and Yang, Bin and Guo, Chenjuan and Jensen, Christian S. and Xiong, Hui}, title = {Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks}, booktitle = {36th {IEEE} International Conference on Data Engineering, {ICDE}, Dallas, TX, USA, April 20-24}, pages = {1417--1428}, publisher = {{IEEE}}, year = {2020}, bibtex_show = {true}, abbr = {ICDE}, selected = {true}, pdf = {ICDE2020}, code = {https://github.com/hujilin1229/od-pred} }
ICDE
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks

Jilin Hu , Chenjuan Guo, Bin Yang, and Christian S. Jensen

In 35th IEEE International Conference on Data Engineering, ICDE, Macao, China, April 8-11 2019

Bib PDF Code
@inproceedings{DBLP:conf/icde/HuG0J19, author = {Hu, Jilin and Guo, Chenjuan and Yang, Bin and Jensen, Christian S.}, title = {Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks}, booktitle = {35th {IEEE} International Conference on Data Engineering, {ICDE}, Macao, China, April 8-11}, pages = {1274--1285}, year = {2019}, bibtex_show = {true}, abbr = {ICDE}, pdf = {ICDE2019.pdf}, code = {https://github.com/hujilin1229/GraphCompletion}, selected = {true} }

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

Huanlong Zhang, Jiapeng Zhang, Guohao Nie, Jilin Hu^# , and W.J. (Chris) Zhang

Information Sciences 2022

Bib
@article{ZHANG2022105, author = {Zhang, Huanlong and Zhang, Jiapeng and Nie, Guohao and Hu, Jilin and Zhang, W.J. (Chris)}, title = {Residual memory inference network for regression tracking with weighted gradient harmonized loss}, journal = {Information Sciences}, volume = {597}, pages = {105-124}, year = {2022}, bibtex_show = {true}, abbr = {ISs}, corr = {true}, selected = {true} }
GeoInformatica
Enabling time-dependent uncertain eco-weights for road networks

Jilin Hu , Bin Yang, Christian S. Jensen, and Yu Ma

GeoInformatica 2017

Bib PDF
@article{DBLP:journals/geoinformatica/HuYJM17, author = {Hu, Jilin and Yang, Bin and Jensen, Christian S. and Ma, Yu}, title = {Enabling time-dependent uncertain eco-weights for road networks}, journal = {GeoInformatica}, volume = {21}, number = {1}, pages = {57--88}, year = {2017}, pdf = {GeoInfo.pdf}, bibtex_show = {true}, abbr = {GeoInformatica}, selected = {true} }

VLDBJ

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

Jilin Hu , Bin Yang, Chenjuan Guo, and Christian S. Jensen

VLDB J. 2018

Bib PDF

@article{DBLP:journals/vldb/HuYGJ18,
  author = {Hu, Jilin and Yang, Bin and Guo, Chenjuan and Jensen, Christian S.},
  title = {Risk-aware path selection with time-varying, uncertain travel costs: a time series approach},
  journal = {{VLDB} J.},
  volume = {27},
  number = {2},
  pages = {179--200},
  year = {2018},
  bibtex_show = {true},
  abbr = {VLDBJ},
  selected = {true},
  pdf = {https://link.springer.com/article/10.1007/s00778-018-0494-9}
}

TNNLS

Few-Shot Object Detection with Self-Supervising and Cooperative Classifier

Qi Di, Jilin Hu^# , and Jianbing Shen

IEEE Transactions on Neural Networks and Learning Systems 2022

Bib

@article{qi2022fsod,
  title = {Few-Shot Object Detection with Self-Supervising and Cooperative Classifier},
  author = {Di, Qi and Hu, Jilin and Shen, Jianbing},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  pages = {To appear},
  year = {2022},
  bibtex_show = {true},
  abbr = {TNNLS},
  selected = {true},
  corr = {true}
}

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Selected Publications

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