Jilin Hu

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, AI For Science

Never stop looking for highly self-motivated students.

News

Sep 25, 2025	One paper “1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models” is accepted by EMNLP 2025 Findings, and congrats to Zeliang Zong and Kai Zhang!
Sep 25, 2025	One paper “Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression” is accepted as Poster by EMNLP 2025 Industry Track, and congrats to Zeliang Zong and Kai Zhang!
Sep 19, 2025	One paper “TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability” is accepted as Oral by NeurIPS 2025, and congrats to Tonglong Wei and Yan Lin!
Sep 19, 2025	One paper “ DBLoss: Decomposition-based Loss Function for Time Series Forecasting” is accepted as Poster by NeurIPS 2025, and congrats to Xingjian Wu and Xiangfei Qiu!
Sep 19, 2025	One paper “ Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective” is accepted as Spotlight by NeurIPS 2025, and congrats to Xingjian Wu and Xiangfei Qiu!
Sep 19, 2025	One paper “PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models” is accepted as Spotlight by NeurIPS 2025, and congrats to Tonglong Wei and Yan Lin!
May 16, 2025	One paper “TAB: Unified Benchmarking of Time Series Anomaly Detection Methods” is accepted by VLDB 2025, and congrats to Xiangfei Qiu!
May 16, 2025	One paper “SSD-TS: Exploring the potential of linear state space models for diffusion models in time series imputation” is accepted by KDD 2025 Research Track, congrats to Hongfan!

Selected Publications

(# Corresponding Author)

PVLDB’25

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods

Xiangfei Qiu, Zhe Li, Wanghui Qiu, Shiyan Hu, Lekui Zhou, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Aoying Zhou, Zhenli Sheng, Jilin Hu^# , Christian S. Jensen, and Bin Yang

In PVLDB 2025
KDD’25

SSD-TS: Exploring the potential of linear state space models for diffusion models in time series imputation

Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Bin Yang, and Jilin Hu^#

In KDD 2025
IJCAI’25

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting

Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, and Jilin Hu^#

In IJCAI 2025
KDD’25

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu^# , and Bin Yang

In KDD 2025
WWW’25

Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models

Yongfu Wei, Yan Lin, Hongfan Gao, Ronghui Xu, Sean Bin Yang, and Jilin Hu^#

In WWW 2025

PVLDB’24

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,
  arxiv = {2403.20150},
  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},
  bibtex_show = {true},
  booktitle = {PVLDB},
  code = {https://github.com/decisionintelligence/TFB},
  corr = {true},
  number = {9},
  pages = {2363--2377},
  selected = {true},
  title = {{TFB:} Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods},
  volume = {17},
  year = {2024},
  abbr = {PVLDB'24}
}

SIGMOD’24

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,
  arxiv = {2307.03048},
  author = {Lin, Yan and Wan, Huaiyu and Hu, Jilin and Guo, Shengnan and Yang, Bin and Lin, Youfang and Jensen, Christian S.},
  bibtex_show = {true},
  booktitle = {SIGMOD},
  corr = {true},
  selected = {true},
  title = {Origin-Destination Travel Time Oracle for Map-based Services},
  year = {2024},
  abbr = {SIGMOD'24}
}

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

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,
  abbr = {ICDE},
  arxiv = {2203.16110},
  author = {Yang, Sean Bin and Guo, Chenjuan and Hu, Jilin and Yang, Bin and Tang, Jian and Jensen, Christian S.},
  bibtex_show = {true},
  booktitle = {ICDE},
  code = {https://github.com/Sean-Bin-Yang/TPR.git},
  corr = {true},
  selected = {true},
  title = {Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version},
  year = {2022}
}

AAAI

Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems

Frederik Mathiesen, Bin Yang, and Jilin Hu^#

In AAAI 2022

Bib Code

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

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,
  abbr = {IJCAI},
  arxiv = {2106.09373},
  author = {Yang, Sean Bin and Guo, Chenjuan and Hu, Jilin and Tang, Jian and Yang, Bin},
  bibtex_show = {true},
  booktitle = {IJCAI},
  code = {https://github.com/Sean-Bin-Yang/Path-InfoMax.git},
  corr = {true},
  pages = {3286--3292},
  pdf = {IJCAI21.pdf},
  selected = {true},
  title = {Unsupervised Path Representation Learning with Curriculum Negative Sampling},
  year = {2021}
}

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,
  abbr = {ICDE},
  author = {Hu, Jilin and Yang, Bin and Guo, Chenjuan and Jensen, Christian S. and Xiong, Hui},
  bibtex_show = {true},
  booktitle = {ICDE},
  code = {https://github.com/hujilin1229/od-pred},
  pages = {1417--1428},
  pdf = {ICDE2020},
  publisher = {{IEEE}},
  selected = {true},
  title = {Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks},
  year = {2020}
}

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,
  abbr = {ICDE},
  author = {Hu, Jilin and Guo, Chenjuan and Yang, Bin and Jensen, Christian S.},
  bibtex_show = {true},
  booktitle = {ICDE},
  code = {https://github.com/hujilin1229/GraphCompletion},
  pages = {1274--1285},
  pdf = {ICDE2019.pdf},
  selected = {true},
  title = {Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks},
  year = {2019}
}

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}
}

News

Selected Publications

Visitors