Jilin Hu | Publications

[Conference Papers]

[Journal Articles]

Conference Papers

2027

ICDE’27

CRSTNet: Efficient Spatio-Temporal Forecasting via Adaptive Cluster Routing

Chaofan Wang, Ziqiang Yu, Xiaohui Yu, Jilin Hu , Meng Chen, and Yang Liu

In ICDE 2027
ICDE’27

WPBench: A Comprehensive Benchmark for Wind Power Forecasting

Yuhan Zhu, Jilin Hu^# , Xinying Cai, Yingshan Li, Li Ma, Xiangfei Qiu, Linsen Li, Kai Zhang, Yao Fu, Weihao Jiang, and Bin Yang

In ICDE 2027
ICDE’27

When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning

Sean Bin Yang, Ying Sun, Zongyi Xu, Tung Kieu, Jilin Hu , Bin Yang, Kristian Torp, Hua Lu, and Torben Bach Pedersen

In ICDE 2027
PVLDB’27

QUALS: Corpus Equilibrium for Universal Forecasting via Pattern Quantization and Learnability Synchronization

Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Weijie Zhu, Yifan Du, Jilin Hu , Bin Yang, Yongjun Xu, and Fei Wang

In PVLDB 2027

arXiv Website

2026

NeuriPS’26

FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting

Xingjian Wu, Hanyin Cheng, Xiangfei Qiu, Zhengyu Li, Jilin Hu , Chenjuan Guo, and Bin Yang

In NeuriPS 2026

arXiv Website
NeuriPS’26

Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting

Xiangfei Qiu, Liu Yang, Xiangyu Xu, Hanyin Cheng, Xingjian Wu, Rongjia Wu, Zhigang Zhang, Ding Tu, Chenjuan Guo, Bin Yang, Christian S. Jensen, and Jilin Hu^#

In NeuriPS 2026

arXiv Website
NeuriPS’26

HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation

Hongfan Gao, Wangmeng Shen, Bin Yang, and Jilin Hu^#

In NeuriPS 2026

arXiv Website
NeuriPS’26

AMGenC: Generating Charge Balanced Amorphous Materials

Yan Lin, Jilin Hu^# , N. M. Anoop Krishnan, and Morten M. Smedskjaer

In NeuriPS 2026

arXiv Website
ICLR’26

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting

Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, and Jilin Hu^#

In ICLR 2026
ICLR’26

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables

Zhengyu Li, Xiangfei Qiu, Yuhan Zhu, Xingjian Wu, Jilin Hu , Chenjuan Guo, and Bin Yang

In ICLR 2026
WWW’26

FSDI: Frequency-Shaped Diffusion For Time-Series Imputation

Wangmeng Shen, Hongfan Gao, Qingsong Zhong, Dingli Xu, and Jilin Hu^#

In The Web Conference 2026
WWW’26

TimeMar: Multi-Scale Autoregressive Modeling for Unconditional Time Series Generation

Xiangyu Xu, Qingsong Zhong, and Jilin Hu^#

In The Web Conference 2026
ICML’26

DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables

Xiangfei Qiu, Yuhan Zhu, Zhengyu Li, Xingjian Wu, Bin Yang, and Jilin Hu^#

In ICML 2026
ICML’26

SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement

Xiangfei Qiu, Xvyuan Liu, Tianen Shen, Xingjian Wu, Hanyin Cheng, Bin Yang, and Jilin Hu^#

In ICML 2026
ICML’26

Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting

Xiangfei Qiu, Kangjia Yan, Xvyuan Liu, Xingjian Wu, and Jilin Hu^#

In ICML 2026
ICML’26

Less Token, More Signal: MoE Expert Pruning via Critical Token Selection

Zeliang Zong, Kai Zhang, Yarong Wang, Wenming Tan, Ye Ren, and Jilin Hu^#

In ICML 2026
CVPR’26

One Layer’s Trash is Another Layer’s Treasure: Adaptive Layer-wise Visual Token Selection in LVLMs

Yongru Chen, Kai Zhang, Zeliang Zong, Yuchen Lu, Wenming Tan, Ye Ren, and Jilin Hu^#

In CVPR 2026
SIGSPATIAL’26

Graceful Degradation in Trajectory User Linking: A Regime-Adaptive Aggregation Framework

Yi Xu, Shuhui Gong, Jia Wang, Tong Bian, Yuchen Yang, Jilin Hu , and Hongbin Pei

In SIGSPATIAL 2026
SIGSPATIAL’26

Adaptive Road Semantic Self-Learning for Kilo-metre level Vehicle Trajectory Prediction

Caini Liu, Shuhui Gong, Yi Xu, Jilin Hu , and Hongbin Pei

In SIGSPATIAL 2026
IJCAI’26

DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning

Sean Bin Yang, Hao Miao, Zongyi Xu, Jilin Hu , Xiangmeng Wang, Hua Lu, Bin Yang, and Christian S. Jensen

In IJCAI 2026
IJCAI’26

DiSGMM: A Method for Time-varying Microscopic Weight Completion on Road Networks

Yan Lin, Jilin Hu , Shengnan Guo, Christian S. Jensen, Youfang Lin, and Huaiyu Wan

In IJCAI 2026
IJCAI’26

A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective

Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Junkai Lu, Jilin Hu^# , Chenjuan Guo, Christian S. Jensen, and Bin Yang

In IJCAI 2026
KDD’26

PolarFormer: Radial–Angular Latent Modeling for Unconditional Time Series Generation

Jiahong Lyu, Hongfan Gao, Wangmeng Shen, Qingsong Zhong, and Jilin Hu^#

In KDD 2026
KDD’26

REFINE: Trajectory Representation Learning via Closed-Loop Transcription

Sean Bin Yang, Ying Sun, Jilin Hu^# , Zongyi Xu, Kristian Torp, Hua Lu, Bin Yang, and Christian S. Jensen

In KDD 2026
KDD’26

MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models

Xiaoyun Yu, Li Fan, Xiangfei Qiu, Nanqing Dong, Yonggui Huang, Honggang Qi, Geguang Pu, Wanli Ouyang, Xi Chen, and Jilin Hu^#

In KDD 2026
EMNLP’26

ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies

Xingjian Wu, Xvyuan Liu, Junkai Lu, Siyuan Wang, Xiangfei Qiu, Yang Shu, Jilin Hu , Chenjuan Guo, and Bin Yang

In EMNLP 2026
AAAI’26

SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design

Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng, and Jilin Hu^#

In AAAI 2026
AAAI’26

DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion

Chenxu Han, Sean Bin Yang, and Jilin Hu^#

In AAAI 2026
AAAI’26

Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline

Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu^# , and Bin Yang

In AAAI 2026
AAAI’26

Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation

Xiaowei Mao, Huihu Ding, Yan Lin, Tingrui Wu, Shengnan Guo, Dazhuo Qiu, Feiling Fang, Jilin Hu , and Huaiyu Wan

In AAAI 2026
ICDE’26

An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data

Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu , Aoying Zhou, Christian S. Jensen, and Bin Yang

In ICDE 2026

2025

EMNLP’25

1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models

Zeliang Zong, Kai Zhang, Zheyang Li, Wenming Tan, Ye Ren, zhai, and Jilin Hu

In EMNLP Findings 2025
EMNLP’25

Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression

Yi Zhang, Kai Zhang, Zheyang Li, Wenming Tan, Ye Ren, and Jilin Hu

In EMNLP Industry 2025
NeuriPS’25

DBLoss: Decomposition-based Loss Function for Time Series Forecasting

Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu^# , and Bin Yang

In NeuriPS 2025
NeuriPS’25

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability

Tonglong Wei, Yan Lin, Zeyu Zhou, Haomin Wen, Jilin Hu , Shengnan Guo, Youfang Lin, Gao Cong, and Huaiyu Wan

In NeuriPS 2025
NeuriPS’25

PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models

Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu , Haitao Yuan, Gao Cong, and Huaiyu Wan

In NeuriPS 2025
NeuriPS’25

Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective

Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu , Chenjuan Guo, and Bin Yang

In NeuriPS 2025
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
KDD’25

FM4TS-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting

Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu , Chenjuan Guo, Aoying Zhou, Christian S. Jensen, and Bin Yang

In KDD 2025
ICML’25

K^2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting

Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu , Chenjuan Guo, and Bin Yang

In ICML 2025
ICLR’25

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching

Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu , Chenjuan Guo, Hui Xiong, and Bin Yang

In ICLR 2025
IJCAI’25

TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories

Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu , Youfang Lin, and Huaiyu Wan

In IJCAI 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
ICDE’25

CDMap: Complementarity and Disparity-aware Map Inference Quality Enhancement

Wenyu Wu, Jiali Mao, Jiafan Liu, Yixiao Tong, Lisheng Zhao, Shaosheng Cao, Jilin Hu , Aoying Zhou, and Lin Zhou

In ICDE 2025
ICDE’25

EasyTime: Time Series Forecasting Made Easy

Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu , Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, and Bin Yang

In ICDE 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
KDD’25

MM-Path: Multi-modal, Multi-granularity Path Representation Learning

Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu , Sean Bin Yang, 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
SIGSPATIAL’25

VisitFrequency-Diffusion: Leveraging Recurrent Visits for Long-Term Individual Trajectory Forecasting

Ziyan Yang, Shuhui Gong, Xinqi Liu, Jiahao Lv, Changjian Liu, Jilin Hu , and Hongbin Pei

In SIGSPATIAL 2025

2024

PKDD’24

A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation

Haomin Yu, Yanru Song, Jilin Hu , Chenjuan Guo, Bin Yang, and Christian S. Jensen

In ECML PKDD 2024, Vilnius, Lithuania 2024

Bib

@inproceedings{DBLP:conf/pkdd/YuSHGYJ24,
  author = {Yu, Haomin and Song, Yanru and Hu, Jilin and Guo, Chenjuan and Yang, Bin and Jensen, Christian S.},
  bibtex_show = {true},
  booktitle = {{ECML} {PKDD} 2024, Vilnius, Lithuania},
  editor = {Bifet, Albert and Krilavicius, Tomas and Miliou, Ioanna and Nowaczyk, Slawomir},
  pages = {231--246},
  title = {A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation},
  volume = {14950},
  year = {2024},
  abbr = {PKDD'24}
}

CIKM’24

Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models

Zhe Li, Ronghui Xu, Jilin Hu , Zhong Peng, Xi Lu, Chenjuan Guo, and Bin Yang

In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management 2024

Bib

@inproceedings{DBLP:conf/cikm/Li0HPLG024,
  author = {Li, Zhe and Xu, Ronghui and Hu, Jilin and Peng, Zhong and Lu, Xi and Guo, Chenjuan and Yang, Bin},
  bibtex_show = {true},
  booktitle = {Proceedings of the 33rd {ACM} International Conference on Information and Knowledge Management},
  editor = {Serra, Edoardo and Spezzano, Francesca},
  pages = {3892--3896},
  title = {Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models},
  year = {2024},
  abbr = {CIKM'24}
}

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}
}

ICDE

Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting

Minbo Ma, Jilin Hu , Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, and Tianrui Li

In ICDE 2024
ICDE

Routing with Massive Trajectory Data

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

In ICDE 2024

2023

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}
}

2022

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}
}

ICDE

Evolutionary Clustering of Streaming Trajectories

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

In ICDE 2022

Bib

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

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

In CVPR 2022

Bib

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

2021

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 = {false},
  title = {Unsupervised Path Representation Learning with Curriculum Negative Sampling},
  year = {2021}
}

2020

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}
}

2019

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}
}

2018

ICDE

Learning to Route with Sparse Trajectory Sets

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

In ICDE 2018

Bib

@inproceedings{DBLP:conf/icde/Guo0HJ18,
  abbr = {ICDE},
  author = {Guo, Chenjuan and Yang, Bin and Hu, Jilin and Jensen, Christian S.},
  bibtex_show = {true},
  booktitle = {ICDE},
  pages = {1073--1084},
  title = {Learning to Route with Sparse Trajectory Sets},
  year = {2018}
}

2017

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 MDM 2017

Bib

@inproceedings{DBLP:conf/mdm/WauryH0J17,
  abbr = {MDM},
  author = {Waury, Robert and Hu, Jilin and Yang, Bin and Jensen, Christian S.},
  bibtex_show = {true},
  booktitle = {MDM},
  pages = {240--245},
  title = {Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation},
  year = {2017}
}

2016

PVLDB

Path Cost Distribution Estimation Using Trajectory Data

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

In 2016

Bib

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

Journal Articles

2027

2026

KBS

SparseLight: Dynamic gradient-optimized softmax for efficient transformer acceleration

Kai Zhang, Chaoxiang Lan, Yazhang Xu, Zheyang Li, Wenming Tan, Ye Ren, and Jilin Hu^#

Knowledge-Based Systems 2026
TKDE

TAP: Time Series Anomaly Prediction Via Adaptive Period Modeling and Dual Representation Learning

Shiyan Hu, Kai Zhao, Chenjuan Guo, Xiangfei Qiu, Yang Shu, Jilin Hu , Christian S. Jensen, and Bin Yang

IEEE Transactions on Knowledge and Data Engineering 2026

Website
TKDE

A Knowledge-Based Semi-Supervised Crystal Property Prediction Framework with Consistency Regularization

Haomin Yu, Jilin Hu , Yunyao Cheng, Chenjuan Guo, Yizhou Zhu, Bin Yang, and Christian S. Jensen

IEEE Transactions on Knowledge and Data Engineering 2026

Website
ACM TAIS

A Selective Multi-View Representation Augmentation Framework for Crystal Property Prediction

Haomin Yu, Jilin Hu , Kasper Tolborg, Chenjuan Guo, Mohamed Saraee, Bin Yang, and Christian S. Jensen

ACM Transactions on AI for Science 2026

Website
Adv. Mater.

Inverse Design of Amorphous Materials With Targeted Properties

Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu^# , and Morten M. Smedskjaer

Advanced Materials 2026

2025

TKDE

STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation

Letian Gong, Shengnan Guo, Yan Lin, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu , and Huaiyu Wan

IEEE Transactions on Knowledge and Data Engineering 2025
TKDE

UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation

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

IEEE Transactions on Knowledge and Data Engineering 2025
TKDE

STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation

Letian Gong, Shengnan Guo, Yan Lin, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu , and Huaiyu Wan

IEEE Transactions on Knowledge and Data Engineering 2025

2024

Vis. Comput.

Multi-granularity attention in attention for person re-identification in aerial images

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

The Visual Computer 2024

Bib

@article{DBLP:journals/vc/XuLHHYH24,
  author = {Xu, Simin and Luo, Lingkun and Hong, Haichao and Hu, Jilin and Yang, Bin and Hu, Shiqiang},
  title = {Multi-granularity attention in attention for person re-identification
                    in aerial images},
  journal = {The Visual Computer},
  volume = {40},
  number = {6},
  pages = {4149--4166},
  year = {2024},
  bibtex_show = {true},
  abbr = {Vis. Comput.}
}

VLDBJ

AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting

Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu , Zhenli Sheng, and Christian S. Jensen

The VLDB Journal 2024

Bib

@article{DBLP:journals/vldb/WuWYZGQHSJ24,
  author = {Wu, Xinle and Wu, Xingjian and Yang, Bin and Zhou, Lekui and Guo, Chenjuan and Qiu, Xiangfei and Hu, Jilin and Sheng, Zhenli and Jensen, Christian S.},
  title = {AutoCTS++: zero-shot joint neural architecture and hyperparameter
                    search for correlated time series forecasting},
  journal = {The VLDB Journal},
  volume = {33},
  number = {5},
  pages = {1743--1770},
  year = {2024},
  bibtex_show = {true},
  abbr = {VLDBJ}
}

TKDE

Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding

Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu , Christian S. Jensen, and Youfang Lin

IEEE Transactions on Knowledge and Data Engineering 2024

Bib

@article{DBLP:journals/tkde/LinWGHJL24,
  author = {Lin, Yan and Wan, Huaiyu and Guo, Shengnan and Hu, Jilin and Jensen, Christian S. and Lin, Youfang},
  title = {Pre-Training General Trajectory Embeddings With Maximum Multi-View
                    Entropy Coding},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  volume = {36},
  number = {12},
  pages = {9037--9050},
  year = {2024},
  bibtex_show = {true},
  abbr = {TKDE}
}

TNNLS

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

Di Qi, Jilin Hu^# , and Jianbing Shen

IEEE Transactions on Neural Networks and Learning Systems 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 Transactions on Neural Networks and Learning Systems},
  volume = {35},
  number = {4},
  pages = {5435--5446},
  year = {2024},
  bibtex_show = {true},
  abbr = {TNNLS},
  selected = {false},
  corr = {true}
}

VLDBJ

AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting

Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu^# , Zhenli Sheng, and Christian S. Jensen

The VLDB Journal 2024

Bib

@article{WuWYZGQHSJ24,
  author = {Wu, Xinle and Wu, Xingjian and Yang, Bin and Zhou, Lekui and Guo, Chenjuan and Qiu, Xiangfei and Hu, Jilin and Sheng, Zhenli and Jensen, Christian S.},
  title = {AutoCTS++: zero-shot joint neural architecture and hyperparameter
                    search for correlated time series forecasting},
  journal = {The VLDB Journal},
  volume = {33},
  number = {5},
  pages = {1743--1770},
  year = {2024},
  bibtex_show = {true},
  selected = {false},
  corr = {false},
  abbr = {VLDBJ}
}

2023

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

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

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 = {false}
}

2021

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}
}

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}
}

NCA

Performance evaluation of low resolution visual tracking for unmanned aerial vehicles

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

Neural Computing and Applications 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 Computing and Applications},
  volume = {33},
  number = {7},
  pages = {2229--2248},
  year = {2021},
  bibtex_show = {true},
  abbr = {NCA}
}

2020

VLDBJ

Context-aware, preference-based vehicle routing

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

The VLDB Journal 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 = {The VLDB Journal},
  volume = {29},
  number = {5},
  pages = {1149--1170},
  year = {2020},
  bibtex_show = {true},
  abbr = {VLDBJ}
}

2019

2018

VLDBJ

PACE: a PAth-CEntric paradigm for stochastic path finding

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

The VLDB Journal 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 = {The VLDB Journal},
  volume = {27},
  number = {2},
  pages = {153--178},
  year = {2018},
  bibtex_show = {true},
  abbr = {VLDBJ}
}

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

The VLDB Journal 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 = {The VLDB Journal},
  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

GeoInf.

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 = {GeoInf.},
  selected = {false}
}