Hengyu Liu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
Ball tree structure-informed phase space warping: a robust algorithm for dynamic degradation tracking under variable speed conditions.
Adv. Eng. Informatics, 2026

Iteratively modified variational mode extraction (IMVME): A noise-robust transient feature nonlinear extraction approach for aero-engine fault diagnosis.
Adv. Eng. Informatics, 2026

2025
SIP Flooding Attack Detection Technology of Multi-agent System Covert Network Based on BiGRU Algorithm.
Int. J. Comput. Intell. Syst., December, 2025

Towards Practical Zero-Knowledge Proof for PSPACE.
CoRR, November, 2025

Towards Practical Zero-Knowledge Proof for PSPACE.
Dataset, October, 2025

VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction.
CoRR, September, 2025

DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine.
CoRR, July, 2025

Considering the multi-time scale rolling optimization scheduling method of micro-energy network connected to electric vehicles.
CoRR, June, 2025

An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise.
CoRR, January, 2025

Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality.
Trans. Mach. Learn. Res., 2025

Symmetry-Inspired Prediction of Nitrous Oxide Emissions in Wastewater Treatment Using Deep Learning and Explainable Analysis.
Symmetry, 2025

InfoBridge: Balanced Multimodal Integration through Conditional Dependency Modeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Open capacity of distribution network including distributed power supply and network reconfiguration.
Intell. Decis. Technol., 2024

Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs.
CoRR, 2024

Integrating Online Learning with Collaborative Machine Learning for Continuous Intrusion Detection in SDN.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2024


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