Jilin Hu

Orcid: 0000-0002-7739-7769

According to our database¹, Jilin Hu authored at least 68 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Bibliography

2025

UVTM: Universal Vehicle Trajectory Modeling With ST Feature Domain Generation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2025

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods.

[BibT_eX]

[DOI]

CoRR, June, 2025

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting.

[BibT_eX]

[DOI]

CoRR, June, 2025

K<sup>2</sup>VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, May, 2025

HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinement.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline.

[BibT_eX]

[DOI]

CoRR, May, 2025

NeuroLoc: Encoding Navigation Cells for 6-DOF Camera Localization.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

Psychometric-Based Evaluation for Theorem Proving with Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CDMap: Complementarity and Disparity-aware Map Inference Quality Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

EasyTime: Time Series Forecasting Made Easy.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

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

[BibT_eX]

[DOI]

VLDB J., September, 2024

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

[BibT_eX]

[DOI]

Vis. Comput., June, 2024

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

[BibT_eX]

[DOI]

Proc. VLDB Endow., May, 2024

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

[BibT_eX]

[DOI]

Di Qi

Jilin Hu

Jianbing Shen

IEEE Trans. Neural Networks Learn. Syst., April, 2024

ProveriT: A Parameterized, Composable, and Verified Model of TEE Protection Profile.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

Editorial: Rising stars in data mining and management 2022.

[BibT_eX]

[DOI]

Frontiers Big Data, 2024

MM-Path: Multi-modal, Multi-granularity Path Representation Learning - Extended Version.

[BibT_eX]

[DOI]

CoRR, 2024

MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast.

[BibT_eX]

[DOI]

CoRR, 2024

PTR: A Pre-trained Language Model for Trajectory Recovery.

[BibT_eX]

[DOI]

CoRR, 2024

DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone.

[BibT_eX]

[DOI]

CoRR, 2024

FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Routing with Massive Trajectory Data.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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

[BibT_eX]

[DOI]

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

2023

CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Origin-Destination Travel Time Oracle for Map-based Services.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, September, 2023

Sequence Labeling With Meta-Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

A Summary of ICDE 2022 Research Session Panels.

[BibT_eX]

[DOI]

Eleni Tzirita Zacharatou

Sibo Wang

Xiao Wang

Xue Wang

Raymond Chi-Wing Wong

IEEE Data Eng. Bull., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

LightPath: Lightweight and Scalable Path Representation Learning.

[BibT_eX]

[DOI]

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

VeriReach: A Formally Verified Algorithm for Reachability Analysis in Virtual Private Cloud Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2023

2022

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Residual memory inference network for regression tracking with weighted gradient harmonized loss.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version.

[BibT_eX]

[DOI]

CoRR, 2022

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Evolutionary Clustering of Moving Objects.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems.

[BibT_eX]

[DOI]

Frederik Baymler Mathiesen

Bin Yang

Jilin Hu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Performance evaluation of low resolution visual tracking for unmanned aerial vehicles.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Evolutionary Clustering of Streaming Trajectories.

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised Path Representation Learning with Curriculum Negative Sampling.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Context-aware, preference-based vehicle routing.

[BibT_eX]

[DOI]

VLDB J., 2020

Spatial-Temporal Demand Forecasting and Competitive Supply via Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

PACE: a PAth-CEntric paradigm for stochastic path finding.

[BibT_eX]

[DOI]

VLDB J., 2018

Risk-aware path selection with time-varying, uncertain travel costs: a time series approach.

[BibT_eX]

[DOI]

VLDB J., 2018

Recurrent Multi-Graph Neural Networks for Travel Cost Prediction.

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Route with Sparse Trajectory Sets - Extended Version.

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Route with Sparse Trajectory Sets.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Enabling time-dependent uncertain eco-weights for road networks.

[BibT_eX]

[DOI]

GeoInformatica, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

2016

Path Cost Distribution Estimation Using Trajectory Data.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2016

Jilin Hu

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