Path Cost Distribution Estimation Using Trajectory Data. - Jian Dai; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Jilin Hu (Proc. VLDB Endow., 2016)

Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation. - Robert Waury; Jilin Hu; Bin Yang 002; Christian S. Jensen (MDM, 2017)

Enabling time-dependent uncertain eco-weights for road networks. - Jilin Hu; Bin Yang 002; Christian S. Jensen; Yu Ma (GeoInformatica, 2017)

Learning to Route with Sparse Trajectory Sets. - Chenjuan Guo; Bin Yang 002; Jilin Hu; Christian S. Jensen (ICDE, 2018)

Learning to Route with Sparse Trajectory Sets - Extended Version. - Chenjuan Guo; Bin Yang 002; Jilin Hu; Christian S. Jensen (CoRR, 2018)

Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. - Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen; Lu Chen 001 (CoRR, 2018)

Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. - Jilin Hu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (VLDB J., 2018)

PACE: a PAth-CEntric paradigm for stochastic path finding. - Bin Yang 002; Jian Dai; Chenjuan Guo; Christian S. Jensen; Jilin Hu (VLDB J., 2018)

Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. - Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (ICDE, 2019)

Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks. - Jilin Hu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Hui Xiong 001 (ICDE, 2020)

Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes. - Jilin Hu; Jianbing Shen; Bin Yang 002; Ling Shao 001 (CoRR, 2020)

Spatial-Temporal Demand Forecasting and Competitive Supply via Graph Convolutional Networks. - Bolong Zheng; Qi Hu; Lingfeng Ming; Jilin Hu; Lu Chen 001; Kai Zheng 001; Christian S. Jensen (CoRR, 2020)

Context-aware, preference-based vehicle routing. - Chenjuan Guo; Bin Yang 002; Jilin Hu; Christian S. Jensen; Lu Chen 001 (VLDB J., 2020)

Unsupervised Path Representation Learning with Curriculum Negative Sampling. - Sean Bin Yang; Chenjuan Guo; Jilin Hu; Jian Tang 005; Bin Yang 002 (IJCAI, 2021)

Evolutionary Clustering of Streaming Trajectories. - Tianyi Li 005; Lu Chen 001; Christian S. Jensen; Torben Bach Pedersen; Jilin Hu (CoRR, 2021)

Performance evaluation of low resolution visual tracking for unmanned aerial vehicles. - Yong Wang 032; Xian Wei; Hao Shen 002; Jilin Hu; Lingkun Luo (Neural Comput. Appl., 2021)

Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. - Frederik Baymler Mathiesen; Bin Yang 002; Jilin Hu (AAAI, 2022)

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. - Miao Zhang; Shirui Pan; Xiaojun Chang; Steven Su; Jilin Hu; Gholamreza Haffari; Bin Yang 002 (CVPR, 2022)

Evolutionary Clustering of Moving Objects. - Tianyi Li 005; Lu Chen 001; Christian S. Jensen; Torben Bach Pedersen; Yunjun Gao; Jilin Hu (ICDE, 2022)

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. - Sean Bin Yang; Chenjuan Guo; Jilin Hu; Bin Yang 002; Jian Tang 005; Christian S. Jensen (ICDE, 2022)

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version. - Sean Bin Yang; Chenjuan Guo; Jilin Hu; Bin Yang 002; Jian Tang 005; Christian S. Jensen (CoRR, 2022)

Residual memory inference network for regression tracking with weighted gradient harmonized loss. - Huanlong Zhang; Jiapeng Zhang; Guohao Nie; Jilin Hu; Wenjun Chris Zhang (Inf. Sci., 2022)

Semantic driven attention network with attribute learning for unsupervised person re-identification. - Simin Xu; Lingkun Luo; Jilin Hu; Bin Yang 002; Shiqiang Hu (Knowl. Based Syst., 2022)

VeriReach: A Formally Verified Algorithm for Reachability Analysis in Virtual Private Cloud Networks. - Zhuoruo Zhang; Jilin Hu; Chenyang Yu; Rui Chang; Yongwang Zhao (ICWS, 2023)

LightPath: Lightweight and Scalable Path Representation Learning. - Sean Bin Yang; Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (KDD, 2023)

A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. - Haomin Yu; Yanru Song 001; Jilin Hu; Chenjuan Guo; Bin Yang 002 (CoRR, 2023)

A Summary of ICDE 2022 Research Session Panels. - Zhifeng Bao; Panagiotis Bouros; Reynold Cheng; Byron Choi; Anton Dignös; Wei Ding 003; Yixiang Fang; Boyang Han; Jilin Hu; Arijit Khan 001; Wenqing Lin; Xuemin Lin 001; et al. (IEEE Data Eng. Bull., 2023)

SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation. - Bolong Zheng; Qi Hu; Lingfeng Ming; Jilin Hu; Lu Chen 001; Kai Zheng 001; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2023)

Sequence Labeling With Meta-Learning. - Jing Li 034; Peng Han 005; Xiangnan Ren; Jilin Hu; Lisi Chen 001; Shuo Shang (IEEE Trans. Knowl. Data Eng., 2023)

Origin-Destination Travel Time Oracle for Map-based Services. - Yan Lin 006; Huaiyu Wan; Jilin Hu; Shengnan Guo 001; Bin Yang 002; Youfang Lin; Christian S. Jensen (Proc. ACM Manag. Data, 2023)

CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. - Haomin Yu; Jilin Hu; Xinyuan Zhou; Chenjuan Guo; Bin Yang 002; Qingyong Li (IEEE Trans. Knowl. Data Eng., 2023)

Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. - Zhe Li 011; Ronghui Xu 001; Jilin Hu; Zhong Peng; Xi Lu; Chenjuan Guo; Bin Yang 002 (CIKM, 2024)

Routing with Massive Trajectory Data. - Christian S. Jensen; Bin Yang 002; Chenjuan Guo; Jilin Hu; Kristian Torp (ICDE, 2024)

Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting. - Minbo Ma; Jilin Hu; Christian S. Jensen; Fei Teng 001; Peng Han 005; Zhiqiang Xu 003; Tianrui Li 001 (ICDE, 2024)

A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. - Haomin Yu; Yanru Song 001; Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (ECML/PKDD (10), 2024)

GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains. - Yan Lin 006; Jilin Hu; Shengnan Guo 001; Bin Yang 002; Christian S. Jensen; Youfang Lin; Huaiyu Wan (CoRR, 2024)

PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models. - Zeyu Zhou 001; Yan Lin 006; Haomin Wen; Shengnan Guo 001; Jilin Hu; Youfang Lin; Huaiyu Wan (CoRR, 2024)

Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. - Zhe Li 011; Ronghui Xu 001; Jilin Hu; Zhong Peng; Xi Lu; Chenjuan Guo; Bin Yang 002 (CoRR, 2024)

TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability. - Yan Lin 006; Tonglong Wei; Zeyu Zhou 001; Haomin Wen; Jilin Hu; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (CoRR, 2024)

FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. - Zhe Li 011; Xiangfei Qiu; Peng Chen 038; Yihang Wang 004; Hanyin Cheng; Yang Shu 001; Jilin Hu; Chenjuan Guo; Aoying Zhou; Qingsong Wen; Christian S. Jensen; Bin Yang 002 (CoRR, 2024)

DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone. - Hongfan Gao; Wangmeng Shen; Xiangfei Qiu; Ronghui Xu 001; Jilin Hu; Bin Yang 002 (CoRR, 2024)

PTR: A Pre-trained Language Model for Trajectory Recovery. - Tonglong Wei; Yan Lin 006; Youfang Lin; Shengnan Guo 001; Jilin Hu; Gao Cong; Huaiyu Wan (CoRR, 2024)

MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. - Shiyan Hu 004; Kai Zhao 009; Xiangfei Qiu; Yang Shu 001; Jilin Hu; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

MM-Path: Multi-modal, Multi-granularity Path Representation Learning - Extended Version. - Ronghui Xu 001; Hanyin Cheng; Chenjuan Guo; Hongfan Gao; Jilin Hu; Sean Bin Yang; Bin Yang 002 (CoRR, 2024)

Editorial: Rising stars in data mining and management 2022. - Feng Chen; Shuhan Yuan; Jilin Hu; Cheng-Te Li; Rudy Raymond; Lidan Shou (Frontiers Big Data, 2024)

ProveriT: A Parameterized, Composable, and Verified Model of TEE Protection Profile. - Jilin Hu; Fanlang Zeng; Yongwang Zhao; Zhuoruo Zhang; Leping Zhang; Jianhong Zhao; Rui Chang; Kui Ren 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Few-Shot Object Detection With Self-Supervising and Cooperative Classifier. - Di Qi; Jilin Hu; Jianbing Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

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; Bin Yang 002 (Proc. VLDB Endow., 2024)

Multi-granularity attention in attention for person re-identification in aerial images. - Simin Xu; Lingkun Luo; Haichao Hong; Jilin Hu; Bin Yang 002; Shiqiang Hu (Vis. Comput., 2024)

AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. - Xinle Wu; Xingjian Wu; Bin Yang 002; Lekui Zhou; Chenjuan Guo; Xiangfei Qiu; Jilin Hu; Zhenli Sheng; Christian S. Jensen (VLDB J., 2024)

Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding. - Yan Lin 006; Huaiyu Wan; Shengnan Guo 001; Jilin Hu; Christian S. Jensen; Youfang Lin (IEEE Trans. Knowl. Data Eng., 2024)

EasyTime: Time Series Forecasting Made Easy. - Xiangfei Qiu; Xiuwen Li; Ruiyang Pang; Zhicheng Pan; Xingjian Wu; Liu Yang; Jilin Hu; Yang Shu 001; Xuesong Lu; Chengcheng Yang; Chenjuan Guo; Aoying Zhou; et al. (ICDE, 2025)

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; Lin Zhou (ICDE, 2025)

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching. - Xingjian Wu; Xiangfei Qiu; Zhengyu Li; Yihang Wang 004; Jilin Hu; Chenjuan Guo; Hui Xiong 001; Bin Yang 002 (ICLR, 2025)

MM-Path: Multi-modal, Multi-granularity Path Representation Learning. - Ronghui Xu 001; Hanyin Cheng; Chenjuan Guo; Hongfan Gao; Jilin Hu; Sean Bin Yang; Bin Yang 002 (KDD (1), 2025)

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. - Xiangfei Qiu; Xingjian Wu; Yan Lin 006; Chenjuan Guo; Jilin Hu; Bin Yang 002 (KDD (1), 2025)

Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models. - Yongfu Wei; Yan Lin 006; Hongfan Gao; Ronghui Xu 001; Sean Bin Yang; Jilin Hu (WWW, 2025)

Psychometric-Based Evaluation for Theorem Proving with Large Language Models. - Jianyu Zhang; Yongwang Zhao; Long Zhang; Jilin Hu; Xiaokun Luan; Zhiwei Xu; Feng Yang (CoRR, 2025)

A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective. - Xiangfei Qiu; Hanyin Cheng; Xingjian Wu; Jilin Hu; Chenjuan Guo (CoRR, 2025)

STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation. - Letian Gong; Shengnan Guo 001; Yan Lin 006; Yichen Liu 003; Erwen Zheng; Yiwei Shuang; Youfang Lin; Jilin Hu; Huaiyu Wan (IEEE Trans. Knowl. Data Eng., 2025)

NeuroLoc: Encoding Navigation Cells for 6-DOF Camera Localization. - Xun Li; Jian Yang; Fenli Jia; Muyu Wang; Qi Wu; Jun Wu; Jinpeng Mi; Jilin Hu; Peidong Liang; Xuan Tang; Ke Li; Xiong You; et al. (CoRR, 2025)

Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. - Xvyuan Liu; Xiangfei Qiu; Xingjian Wu; Zhengyu Li; Chenjuan Guo; Jilin Hu; Bin Yang 002 (CoRR, 2025)

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability. - Tonglong Wei; Yan Lin 006; Zeyu Zhou 001; Haomin Wen; Jilin Hu; Shengnan Guo 001; Youfang Lin; Gao Cong; Huaiyu Wan (CoRR, 2025)

HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinement. - Jilin Hu; Jianyu Zhang; Yongwang Zhao; Talia Ringer (CoRR, 2025)

K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting. - Xingjian Wu; Xiangfei Qiu; Hongfan Gao; Jilin Hu; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting. - Haichen Wang; Liu Yang; Xinyuan Zhang; Haomin Yu; Ming Li; Jilin Hu (CoRR, 2025)

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. - Xiangfei Qiu; Zhe Li 011; Wanghui Qiu; Shiyan Hu 004; Lekui Zhou; Xingjian Wu; Zhengyu Li; Chenjuan Guo; Aoying Zhou; Zhenli Sheng; Jilin Hu; Christian S. Jensen; et al. (CoRR, 2025)

UVTM: Universal Vehicle Trajectory Modeling With ST Feature Domain Generation. - Yan Lin 006; Jilin Hu; Shengnan Guo 001; Bin Yang 002; Christian S. Jensen; Youfang Lin; Huaiyu Wan (IEEE Trans. Knowl. Data Eng., 2025)