Yuze Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment.
IEEE Trans. Mob. Comput., June, 2026
Meta-Modal Agent: Sequential Evidence Routing for Missing-Modality Candidate Reranking.
CoRR, May, 2026
Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest Recommendation.
CoRR, May, 2026
TurboAgent: An LLM-Driven Autonomous Multi-Agent Framework for Turbomachinery Aerodynamic Design.
CoRR, April, 2026
CoRR, February, 2026
Sparse signal recovery via reweighted shrinkage thresholding: applications in compressed sensing MRI.
Int. J. Sens. Networks, 2026
Proceedings of the ACM Web Conference 2026, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Language Native Lightly Structured Databases for Large Language Model Driven Composite Materials Research.
CoRR, September, 2025
IEEE Trans. Artif. Intell., June, 2025
A Reconstruction Method for Weak Magnetic Pipeline Inspection Signals Based on Adaptive Multiscale Signal Reconstruction.
IEEE Trans. Instrum. Meas., 2025
An Efficient Parallel Simulation Architecture for Ultra-Mega-Scale LEO Satellite Networks.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025
GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback.
Proceedings of the Data Science: Foundations and Applications, 2025
PH-BGP: A Proactive Hierarchical Border Gateway Protocol Routing Scheme and System in Ultra-Dense LEO Satellite Network.
Proceedings of the IEEE International Conference on Communications, 2025
Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
<i>DSHGT</i>: Dual-Supervisors Heterogeneous Graph Transformer - A Pioneer Study of Using Heterogeneous Graph Learning for Detecting Software Vulnerabilities.
ACM Trans. Softw. Eng. Methodol., November, 2024
IEEE Trans. Artif. Intell., May, 2024
Future Internet, April, 2024
Multi-scale spatio-temporal feature adaptive aggregation for video-based Person Re-identification.
Knowl. Based Syst., 2024
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning.
CoRR, 2024
Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Multim. Tools Appl., May, 2023
CoRR, 2023
2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks.
CoRR, 2022
FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning.
CoRR, 2022
CoRR, 2022
2021
Knowl. Based Syst., 2021
CoRR, 2021
2016
OpenFlow-based adaptive adjustment of optical path resources in dynamic optical networks.
Opt. Switch. Netw., 2016