Hengyu Liu

Orcid: 0000-0001-6545-7181

Affiliations:

Aalborg University, Department of Computer Science, Department of Computer Science,Aalborg, Denmark
Northeastern University, Shenyang, China

According to our database¹, Hengyu Liu authored at least 31 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective.

[BibT_eX]

[DOI]

CoRR, May, 2026

VISTA: Knowledge-Driven Interpretable Vessel Trajectory Imputation via Large Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2026

Federated neural nonparametric point processes.

[BibT_eX]

[DOI]

Christopher John Quinn

Longbing Cao

Artif. Intell., 2026

S²KT: Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform.

[BibT_eX]

[DOI]

Proceedings of the Companion of the International Conference on Management of Data, 2026

DPC-Net: A Decouple-Predict-Correct Framework for Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2026

2025

MSC-180: A Benchmark for Automated Formal Theorem Proving from Mathematical Subject Classification.

[BibT_eX]

[DOI]

CoRR, December, 2025

MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data.

[BibT_eX]

[DOI]

Proc. VLDB Endow., October, 2025

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Advancing Knowledge Tracing by Exploring Follow-up Performance Trends.

[BibT_eX]

[DOI]

CoRR, August, 2025

Automated Formalization via Conceptual Retrieval-Augmented LLMs.

[BibT_eX]

[DOI]

CoRR, August, 2025

MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version).

[BibT_eX]

[DOI]

CoRR, July, 2025

Autoformalization in the Era of Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, May, 2025

ACTIVE: Continuous Similarity Search for Vessel Trajectories.

[BibT_eX]

[DOI]

CoRR, April, 2025

Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations.

[BibT_eX]

[DOI]

Kim Guldstrand Larsen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Density Harmonized Gradient Descent Online Active Learning for Imbalanced Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

2024

A probabilistic generative model for tracking multi-knowledge concept mastery probability.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., June, 2024

Marked Temporal Bayesian Flow Point Processes.

[BibT_eX]

[DOI]

CoRR, 2024

2023

A sampling method based on forecasting and combinatorial optimization for high performance A/B testing.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2023

A subspace constraint based approach for fast hierarchical graph embedding.

[BibT_eX]

[DOI]

World Wide Web (WWW), September, 2023

Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset.

[BibT_eX]

[DOI]

CoRR, 2023

GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.

[BibT_eX]

[DOI]

Jiayan Guo

Lun Du

Hengyu Liu

CoRR, 2023

2022

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.

[BibT_eX]

[DOI]

CoRR, 2021

Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer.

[BibT_eX]

[DOI]

IEEE Access, 2021

2018

ELM-based convolutional neural networks making move prediction in Go.

[BibT_eX]

[DOI]

Soft Comput., 2018

An ELM-Based Ensemble Strategy for POI Recommendation.

[BibT_eX]

[DOI]

Proceedings of ELM 2018, 2018

Hengyu Liu

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