Jilin Hu

Orcid: 0000-0002-7739-7769

According to our database¹, Jilin Hu authored at least 105 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

AMGenC: Generating Charge Balanced Amorphous Materials.

[BibT_eX]

[DOI]

CoRR, April, 2026

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

[BibT_eX]

[DOI]

CoRR, March, 2026

AMShortcut: An Inference- and Training-Efficient Inverse Design Model for Amorphous Materials.

[BibT_eX]

[DOI]

CoRR, March, 2026

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

[BibT_eX]

[DOI]

CoRR, March, 2026

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

[BibT_eX]

[DOI]

CoRR, February, 2026

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

[BibT_eX]

[DOI]

CoRR, February, 2026

Towards Real-World Industrial-Scale Verification: LLM-Driven Theorem Proving on seL4.

[BibT_eX]

[DOI]

CoRR, February, 2026

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

[BibT_eX]

[DOI]

CoRR, February, 2026

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

[BibT_eX]

[DOI]

CoRR, February, 2026

TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation.

[BibT_eX]

[DOI]

CoRR, January, 2026

SparseLight: Dynamic gradient-optimized softmax for efficient transformer acceleration.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2026

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

[BibT_eX]

[DOI]

Xiangyu Xu

Qingsong Zhong

Jilin Hu

Proceedings of the ACM Web Conference 2026, 2026

FSDI: Frequency-Shaped Diffusion For Time-Series Imputation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

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

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

[BibT_eX]

[DOI]

Chenxu Han

Sean Bin Yang

Jilin Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

[BibT_eX]

[DOI]

CoRR, December, 2025

Spatio-Temporal Trajectory Foundation Model - Recent Advances and Future Directions.

[BibT_eX]

[DOI]

CoRR, November, 2025

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

[BibT_eX]

[DOI]

CoRR, October, 2025

DBLoss: Decomposition-based Loss Function for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, October, 2025

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

[BibT_eX]

[DOI]

CoRR, October, 2025

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

[BibT_eX]

[DOI]

CoRR, October, 2025

Multi-Scale Spatial-Temporal Hypergraph Network with Lead-Lag Structures for Stock Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, September, 2025

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

[BibT_eX]

[DOI]

CoRR, September, 2025

Unlocking the Power of Mixture-of-Experts for Task-Aware Time Series Analytics.

[BibT_eX]

[DOI]

CoRR, September, 2025

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

[BibT_eX]

[DOI]

CoRR, September, 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]

Proc. VLDB Endow., May, 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

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

Tacco: A Framework for Ensuring the Security of Real-World TEEs via Formal Verification.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 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

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 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

SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 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

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

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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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