Publications

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

   Haomin Yu, Yanru Song, Jilin Hu , Chenjuan Guo, and Bin Yang

   2023

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

   Jilin Hu , Jianbing Shen, Bin Yang, and Ling Shao

   CoRR 2020

1. Recurrent Multi-Graph Neural Networks for Travel Cost Prediction

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

   CoRR 2018

2024

1. 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

   2024

   arXiv Bib

   @misc{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}
   }

2023

1. KDD

   LightPath: Lightweight and Scalable Path Representation Learning

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

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

   arXiv Bib

   @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},
     doi = {10.1145/3580305.3599415},
     booktitle = {Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
     pages = {2999–3010},
     location = {Long Beach, CA, USA},
     bibtex_show = {true},
     abbr = {KDD},
     corr = {true},
     selected = {true},
     %code = {},
     arxiv = {https://arxiv.org/abs/2307.10171}
   }

2022

1. 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}
   }

2. ICDE

   Evolutionary Clustering of Streaming Trajectories

   Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, and Jilin Hu

   2022

   Bib

   @article{DBLP:journals/corr/abs-2109-11609,
     author = {Li, Tianyi and Chen, Lu and Jensen, Christian S. and Pedersen, Torben Bach and Hu, Jilin},
     title = {Evolutionary Clustering of Streaming Trajectories},
     booktitle = {38th {IEEE} International Conference on Data Engineering, {ICDE}},
     year = {2022},
     bibtex_show = {true},
     abbr = {ICDE}
   }

3. CVPR

   BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule

   Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Jilin Hu , and Gholamreza Haffari

   CVPR 2022

   Bib

   @article{DBLP:journals/corr/abs-2111-13204,
     author = {Zhang, Miao and Su, Steven and Pan, Shirui and Chang, Xiaojun and Yang, Bin and Hu, Jilin and Haffari, Gholamreza},
     title = {BaLeNAS: Differentiable Architecture Search via the Bayesian Learning
                    Rule},
     journal = {CVPR},
     volume = {abs/2111.13204},
     year = {2022},
     bibtex_show = {true},
     abbr = {CVPR}
   }

4. 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}
   }

2021

1. 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}
   }

2020

1. 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}
   }

2019

1. 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}
   }

2018

1. ICDE

   Learning to Route with Sparse Trajectory Sets

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

   In 34th IEEE International Conference on Data Engineering, ICDE, Paris, France, April 16-19 2018

   Bib

   @inproceedings{DBLP:conf/icde/Guo0HJ18,
     author = {Guo, Chenjuan and Yang, Bin and Hu, Jilin and Jensen, Christian S.},
     title = {Learning to Route with Sparse Trajectory Sets},
     booktitle = {34th {IEEE} International Conference on Data Engineering, {ICDE},
                    Paris, France, April 16-19},
     pages = {1073--1084},
     year = {2018},
     bibtex_show = {true},
     abbr = {ICDE}
   }

2017

1. MDM

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

   Robert Waury, Jilin Hu , Bin Yang, and Christian S. Jensen

   In 18th IEEE International Conference on Mobile Data Management, MDM Daejeon, South Korea, May 29 - June 1 2017

   Bib

   @inproceedings{DBLP:conf/mdm/WauryH0J17,
     author = {Waury, Robert and Hu, Jilin and Yang, Bin and Jensen, Christian S.},
     title = {Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection
                    in Fine-Grained Travel-Time Estimation},
     booktitle = {18th {IEEE} International Conference on Mobile Data Management, {MDM}
                    Daejeon, South Korea, May 29 - June 1},
     pages = {240--245},
     year = {2017},
     bibtex_show = {true},
     abbr = {MDM}
   }

2016

1. PVLDB

   Path Cost Distribution Estimation Using Trajectory Data

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

   Proc. VLDB Endow. 2016

   Bib

   @article{DBLP:journals/pvldb/DaiYGJH16,
     author = {Dai, Jian and Yang, Bin and Guo, Chenjuan and Jensen, Christian S. and Hu, Jilin},
     title = {Path Cost Distribution Estimation Using Trajectory Data},
     journal = {Proc. {VLDB} Endow.},
     volume = {10},
     number = {3},
     pages = {85--96},
     year = {2016},
     bibtex_show = {true},
     abbr = {PVLDB},
     selected = {false}
   }

2024

2023

1. TKDE

   CGF: A Category Guidance Based PM_2.5 Sequence Forecasting Training Framework

   Haomin Yu, Jilin Hu , Xinyuan Zhou, Chenjuan Guo, Bin Yang, and Qingyong Li

   IEEE Transactions on Knowledge and Data Engineering 2023

   Bib

   @article{10064188,
     author = {Yu, Haomin and Hu, Jilin and Zhou, Xinyuan and Guo, Chenjuan and Yang, Bin and Li, Qingyong},
     journal = {IEEE Transactions on Knowledge and Data Engineering},
     title = {CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework},
     year = {2023},
     pages = {1-14},
     bibtex_show = {true},
     abbr = {TKDE}
   }

2022

1. KBS

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

   Simin Xu, Lingkun Luo, Jilin Hu , Bin Yang, and Shiqiang Hu

   Knowledge-Based Systems 2022
2. 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}
   }

3. KBS

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

   Simin Xu, Lingkun Luo, Jilin Hu , Bin Yang, and Shiqiang Hu

   Knowledge-Based Systems 2022

   Bib

   @article{xu2022semantic,
     title = {Semantic driven attention network with attribute learning for unsupervised person re-identification},
     author = {Xu, Simin and Luo, Lingkun and Hu, Jilin and Yang, Bin and Hu, Shiqiang},
     journal = {Knowledge-Based Systems},
     pages = {109354},
     year = {2022},
     bibtex_show = {true},
     abbr = {KBS}
   }

4. 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}
   }

2021

1. TKDE

   SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply

   Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu , Lu Chen, Kai Zheng, and Christian S. Jensen

   IEEE Transactions on Knowledge and Data Engineering 2021

   arXiv Bib

   @article{9537675,
     author = {Zheng, Bolong and Hu, Qi and Ming, Lingfeng and Hu, Jilin and Chen, Lu and Zheng, Kai and Jensen, Christian S.},
     journal = {IEEE Transactions on Knowledge and Data Engineering},
     title = {SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply},
     year = {2021},
     pages = {1-1},
     bibtex_show = {true},
     abbr = {TKDE},
     arxiv = {https://arxiv.org/abs/2009.12157}
   }

2. TKDE

   Sequence Labeling with Meta-Learning

   Jing Li, Peng Han, Xiangnan Ren, Jilin Hu , Lisi Chen, and Shuo Shang

   IEEE Transactions on Knowledge and Data Engineering 2021

   Bib

   @article{9563226,
     author = {Li, Jing and Han, Peng and Ren, Xiangnan and Hu, Jilin and Chen, Lisi and Shang, Shuo},
     journal = {IEEE Transactions on Knowledge and Data Engineering},
     title = {Sequence Labeling with Meta-Learning},
     year = {2021},
     pages = {1-1},
     bibtex_show = {true},
     abbr = {TKDE}
   }

3. NCA

   Performance evaluation of low resolution visual tracking for unmanned aerial vehicles

   Yong Wang, Xian Wei, Hao Shen, Jilin Hu , and Lingkun Luo

   Neural Comput. Appl. 2021

   Bib

   @article{DBLP:journals/nca/WangWSHL21,
     author = {Wang, Yong and Wei, Xian and Shen, Hao and Hu, Jilin and Luo, Lingkun},
     title = {Performance evaluation of low resolution visual tracking for unmanned
                    aerial vehicles},
     journal = {Neural Comput. Appl.},
     volume = {33},
     number = {7},
     pages = {2229--2248},
     year = {2021},
     bibtex_show = {true},
     abbr = {NCA}
   }

2020

1. VLDBJ

   Context-aware, preference-based vehicle routing

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

   VLDB J. 2020

   Bib

   @article{DBLP:journals/vldb/GuoYHJC20,
     author = {Guo, Chenjuan and Yang, Bin and Hu, Jilin and Jensen, Christian S. and Chen, Lu},
     title = {Context-aware, preference-based vehicle routing},
     journal = {{VLDB} J.},
     volume = {29},
     number = {5},
     pages = {1149--1170},
     year = {2020},
     bibtex_show = {true},
     abbr = {VLDBJ}
   }

2019

2018

1. VLDBJ

   PACE: a PAth-CEntric paradigm for stochastic path finding

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

   VLDB J. 2018

   Bib

   @article{DBLP:journals/vldb/YangDGJH18,
     author = {Yang, Bin and Dai, Jian and Guo, Chenjuan and Jensen, Christian S. and Hu, Jilin},
     title = {{PACE:} a PAth-CEntric paradigm for stochastic path finding},
     journal = {{VLDB} J.},
     volume = {27},
     number = {2},
     pages = {153--178},
     year = {2018},
     bibtex_show = {true},
     abbr = {VLDBJ}
   }

2. 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}
   }

2017

1. 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}
   }

2016