Jilin Hu

Professor, School of Data Science and Engineering, East China Normal University
Room 217 at Dili Building, 3663 North ZhongShan Road, Shanghai, China
jlhu [at] dase.ecnu.edu.cn
Google scholar | DBLP

Jilin Hu is a Professor at the School of Data Science and Engineering, East China Normal University. Prior to that, he was an Associate 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

Aug 30, 2024	Our paper “TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods” receives VLDB 2024 Best Paper Award Nomination!
Jul 31, 2024	One paper is accepted by CIKM, and congrats to Zhe Li!
Jul 20, 2024	One paper is accepted by VLDB Journal, and congrats to Xingjian Wu!
May 9, 2024	One paper is accepted by VLDB 2024, and congrats to Xiangfei Qiu!

Selected Publications

(# Corresponding Author)

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

Xiangfei Qiu, Jilin Hu^# , Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, and Bin Yang

In PVLDB 2024

arXiv Bib Code
@inproceedings{DBLP:journals/pvldb/QiuHZWDZGZJSY24, author = {Qiu, Xiangfei and Hu, Jilin and Zhou, Lekui and Wu, Xingjian and Du, Junyang and Zhang, Buang and Guo, Chenjuan and Zhou, Aoying and Jensen, Christian S. and Sheng, Zhenli and Yang, Bin}, title = {{TFB:} Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods}, booktitle = {PVLDB}, volume = {17}, number = {9}, pages = {2363--2377}, year = {2024}, bibtex_show = {true}, abbr = {PVLDB}, selected = {true}, corr = {true}, code = {https://github.com/decisionintelligence/TFB}, arxiv = {https://arxiv.org/abs/2403.20150} }
SIGMOD
Origin-Destination Travel Time Oracle for Map-based Services

Yan Lin, Huaiyu Wan, Jilin Hu^# , Shengnan Guo, Bin Yang, Youfang Lin, and Christian S. Jensen

In SIGMOD 2024

arXiv Bib
@inproceedings{2307.03048, author = {Lin, Yan and Wan, Huaiyu and Hu, Jilin and Guo, Shengnan and Yang, Bin and Lin, Youfang and Jensen, Christian S.}, title = {Origin-Destination Travel Time Oracle for Map-based Services}, year = {2024}, arxiv = {https://arxiv.org/abs/2307.03048}, booktitle = {SIGMOD}, selected = {true}, corr = {true}, bibtex_show = {true}, abbr = {SIGMOD} }

KDD

LightPath: Lightweight and Scalable Path Representation Learning

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

In KDD 2023

arXiv Bib Code

@inproceedings{10.1145/3580305.3599415,
  author = {Yang, Sean Bin and Hu, Jilin and Guo, Chenjuan and Yang, Bin and Jensen, Christian S.},
  title = {LightPath: Lightweight and Scalable Path Representation Learning},
  year = {2023},
  booktitle = {KDD},
  pages = {2999–3010},
  bibtex_show = {true},
  abbr = {KDD},
  corr = {true},
  selected = {true},
  code = {https://github.com/Sean-Bin-Yang/LightPath},
  arxiv = {https://arxiv.org/abs/2307.10171}
}

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

In ICDE 2022

arXiv Bib Code
@inproceedings{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 = {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^#

In AAAI 2022

Bib Code

@inproceedings{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 IJCAI 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 = {IJCAI},
  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 ICDE 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 = {ICDE}, 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 ICDE 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 = {ICDE}, pages = {1274--1285}, year = {2019}, bibtex_show = {true}, abbr = {ICDE}, pdf = {ICDE2019.pdf}, code = {https://github.com/hujilin1229/GraphCompletion}, selected = {true} }
PVLDB
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Xiangfei Qiu, Jilin Hu^# , Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, and Bin Yang

In PVLDB 2024

arXiv Bib Code
@inproceedings{DBLP:journals/pvldb/QiuHZWDZGZJSY25, author = {Qiu, Xiangfei and Hu, Jilin and Zhou, Lekui and Wu, Xingjian and Du, Junyang and Zhang, Buang and Guo, Chenjuan and Zhou, Aoying and Jensen, Christian S. and Sheng, Zhenli and Yang, Bin}, title = {{TFB:} Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods}, booktitle = {PVLDB}, volume = {17}, number = {9}, pages = {2363--2377}, year = {2024}, bibtex_show = {true}, abbr = {PVLDB}, selected = {true}, corr = {true}, code = {https://github.com/decisionintelligence/TFB}, arxiv = {https://arxiv.org/abs/2403.20150} }

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

Di Qi, Jilin Hu^# , and Jianbing Shen

IEEE TNNLS 2024

Bib

@article{qi2022fsod,
  author = {Qi, Di and Hu, Jilin and Shen, Jianbing},
  title = {Few-Shot Object Detection With Self-Supervising and Cooperative Classifier},
  journal = {IEEE TNNLS},
  volume = {35},
  number = {4},
  pages = {5435--5446},
  year = {2024},
  bibtex_show = {true},
  abbr = {TNNLS},
  selected = {true},
  corr = {true}
}

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