Guanhua Ye

Orcid: 0000-0002-1683-1875

According to our database1, Guanhua Ye authored at least 42 papers between 2003 and 2025.

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

Timeline

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Links

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Bibliography

2025
RobGC: Towards Robust Graph Condensation.
IEEE Trans. Knowl. Data Eng., August, 2025

FeBT: A Feature Balancing Transformer for Corporate ESG Forecasting.
IEEE Trans. Knowl. Data Eng., July, 2025

Graph Condensation: A Survey.
IEEE Trans. Knowl. Data Eng., April, 2025

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
ACM Trans. Inf. Syst., March, 2025

DecKG: Decentralized collaborative learning with knowledge graph enhancement for POI recommendation.
Inf. Sci., 2025

Robust federated contrastive recommender system against targeted model poisoning attack.
Sci. China Inf. Sci., 2025

On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective.
Proceedings of the ACM on Web Conference 2025, 2025

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
Proceedings of the ACM on Web Conference 2025, 2025

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Towards Unsupervised Entity Alignment for Highly Heterogeneous Knowledge Graphs.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

DATA-WA: Demand-Based Adaptive Task Assignment with Dynamic Worker Availability Windows.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

A Memetic Algorithm for the Capacity-Constrained Community Detection Problem in Social Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025

MSformer: Joint Prediction of Multi-Dimensional Resources in Computing Power Network based on Multi-Granularity Sampling.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2025

Big Data Time Series Prediction Based on Feature-Enhanced Transformer Model.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2025

Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
ACM Trans. Inf. Syst., November, 2024

Graph neural networks with deep mutual learning for designing multi-modal recommendation systems.
Inf. Sci., January, 2024

Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.
CoRR, 2024

Tackling Data Heterogeneity in Federated Time Series Forecasting.
CoRR, 2024

Unleashing the Power of Large Language Models for Group POI Recommendations.
CoRR, 2024

LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space.
CoRR, 2024

WPFed: Web-based Personalized Federation for Decentralized Systems.
CoRR, 2024

FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
CoRR, 2024

Poisoning Attacks and Defenses in Recommender Systems: A Survey.
CoRR, 2024

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
CoRR, 2024

Robust Federated Contrastive Recommender System against Model Poisoning Attack.
CoRR, 2024

Heterogeneous decentralised machine unlearning with seed model distillation.
CAAI Trans. Intell. Technol., 2024

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Physics-guided Active Sample Reweighting for Urban Flow Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics, November, 2023

Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation.
CoRR, 2023

2022
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent.
IEEE J. Biomed. Health Informatics, 2022

A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics.
CoRR, 2022

2021
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
IEEE J. Biomed. Health Informatics, 2021

2020
Try This Instead: Personalized and Interpretable Substitute Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2005
On Explicit Congestion Notification for Stream Control Transmission Protocol in Lossy Networks.
Clust. Comput., 2005

Wireless aware SCTP for ad hoc networks.
Proceedings of the IEEE 2nd International Conference on Mobile Adhoc and Sensor Systems, 2005

2004
Improving stream control transmission protocol performance over lossy links.
IEEE J. Sel. Areas Commun., 2004

IPCC-SCTP: an enhancement to the standard SCTP to support multi-homing efficiently.
Proceedings of the 23rd IEEE International Performance Computing and Communications Conference, 2004

2003
Using Explicit Congestion Notification in Stream Control Transmission Protocol in Lossy Networks.
Proceedings of the 23rd International Conference on Distributed Computing Systems Workshops (ICDCS 2003 Workshops), 2003


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