Haoye Lu

Orcid: 0000-0003-0933-2370

According to our database1, Haoye Lu authored at least 26 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
World of Workflows: a Benchmark for Bringing World Models to Enterprise Systems.
CoRR, January, 2026

2025
SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples.
CoRR, December, 2025

SCOPE: Language Models as One-Time Teacher for Hierarchical Planning in Text Environments.
CoRR, December, 2025

SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples.
CoRR, June, 2025

Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Diffusion Models under Group Transformations.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Structure Preserving Diffusion Models.
CoRR, 2024

2023
A GNN-based proactive caching strategy in NDN networks.
Peer Peer Netw. Appl., March, 2023

Intelligent Caching with Graph Neural Network-Based Deep Reinforcement Learning on SDN-Based ICN.
Future Internet, 2023

Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Optimized GNN-Based Caching Scheme for SDN-Based Information-Centric Networks.
Proceedings of the IEEE Global Communications Conference, 2023

2022
A Graph Neural Network Approach for Caching Performance Optimization in NDN Networks.
IEEE Access, 2022

2021
A Spam Transformer Model for SMS Spam Detection.
IEEE Access, 2021

On the Dynamics of Training Attention Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

A GNN-based Approach to Optimize Cache Hit Ratio in NDN Networks.
Proceedings of the IEEE Global Communications Conference, 2021

2020
A Deep Neural Network for Audio Classification with a Classifier Attention Mechanism.
CoRR, 2020

Periodic Time Series Data Analysis by Deep Learning Methodology.
IEEE Access, 2020

2019
A Scheme to Design Community Detection Algorithms in Various Networks.
Future Internet, 2019

Periodic Time Series Data Classification By Deep Neural Network.
Proceedings of the 26th International Conference on Telecommunications, 2019

2018
No-Key Semi-Quantum Direct Communication Protocol with Low Quantum Resource Requirements.
CoRR, 2018

A General Definition of Network Communities and the Corresponding Detection Algorithm.
CoRR, 2018

Period Detection and Future Trend Prediction Using Machine Learning Techniques.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

Performance Evaluation of Community Detection Algorithms Based on Relationship Strength Measurement.
Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018

A Hierarchical Approach to Handle Inter-domain Mobility in SDN-based Networks using Mobile IP.
Proceedings of the 25th International Conference on Telecommunications, 2018

2017
Economic No-Key Semi-Quantum Direct Communication Protocol.
Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

Learning automata based method for solving demand and supply problem with periodic behaviors.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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