Rui Ye

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

Bibliography

2024

A Matrix Translation Model for Evacuation Path Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., February, 2024

Joint Inversion of UMRS-TEM Data and Its Application for Detection in the Tunnel Using Hamiltonian Monte Carlo Method.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning.

[BibT_eX]

[DOI]

CoRR, 2024

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation.

[BibT_eX]

[DOI]

CoRR, 2024

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units.

[BibT_eX]

[DOI]

CoRR, 2024

Learn What You Need in Personalized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

PEPNet: A barotropic primitive equations-based network for wind speed prediction.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., June, 2023

WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions.

[BibT_eX]

[DOI]

Neural Networks, May, 2023

Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., April, 2023

FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Fake It Till Make It: Federated Learning with Consensus-Oriented Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Federated Learning Empowered by Generative Content.

[BibT_eX]

[DOI]

CoRR, 2023

FedDisco: Federated Learning with Discrepancy-Aware Collaboration.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Personalized Federated Learning with Inferred Collaboration Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

MSTCGAN: Multiscale Time Conditional Generative Adversarial Network for Long-Term Satellite Image Sequence Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

DynamicNet: A time-variant ODE network for multi-step wind speed prediction.

[BibT_eX]

[DOI]

Neural Networks, 2022

SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction.

[BibT_eX]

[DOI]

Inf. Sci., 2022

A relationship-aligned transfer learning algorithm for time series forecasting.

[BibT_eX]

[DOI]

Rui Ye

Qun Dai

Inf. Sci., 2022

GPA-Net: No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network.

[BibT_eX]

[DOI]

CoRR, 2022

MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network.

[BibT_eX]

[DOI]

Cogn. Comput., 2022

Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Implementing transfer learning across different datasets for time series forecasting.

[BibT_eX]

[DOI]

Rui Ye

Qun Dai

Pattern Recognit., 2021

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification.

[BibT_eX]

[DOI]

CoRR, 2021

RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting.

[BibT_eX]

[DOI]

CoRR, 2021

Integrating Multi-Source Transfer Learning, Active Learning and Metric Learning paradigms for Time Series Prediction.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Pedestrian dynamics in single-File movement under Background Music with Different Tempos.

[BibT_eX]

[DOI]

Guang Zeng

Jun Zhang

Rui Ye

Andreas Schadschneider

Shuchao Cao

Qiao Wang

Weiguo Song

Adv. Complex Syst., 2021

Uni- and bidirectional pedestrian flows through zigzag corridor in a tourism area: a field study.

[BibT_eX]

[DOI]

Adapt. Behav., 2021

Dynamic Graph Construction for Improving Diversity of Recommendation.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Cross-Session Aware Temporal Convolutional Network for Session-based Recommendation.

[BibT_eX]

[DOI]

Rui Ye

Qing Zhang

Hengliang Luo

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

A hybrid transfer learning algorithm incorporating TrSVM with GASEN.

[BibT_eX]

[DOI]

Rui Ye

Qun Dai

Meiling Li

Pattern Recognit., 2019

A novel double incremental learning algorithm for time series prediction.

[BibT_eX]

[DOI]

Jinhua Li

Qun Dai

Rui Ye

Neural Comput. Appl., 2019

MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction.

[BibT_eX]

[DOI]

Rui Ye

Qun Dai

Appl. Soft Comput., 2019

A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Study on Uni-directinal Pedestrian Flow Based on Artificial Neural Network.

[BibT_eX]

[DOI]

Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019

Information system and management for campus safety.

[BibT_eX]

[DOI]

Proceedings of the EM-GIS '19: Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Chicago, 2019

2018

A Novel Greedy Randomized Dynamic Ensemble Selection Algorithm.

[BibT_eX]

[DOI]

Rui Ye

Qun Dai

Neural Process. Lett., 2018

A novel transfer learning framework for time series forecasting.

[BibT_eX]

[DOI]

Rui Ye

Qun Dai

Knowl. Based Syst., 2018

Non-translational Alignment for Multi-relational Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Considering diversity and accuracy simultaneously for ensemble pruning.

[BibT_eX]

[DOI]

Qun Dai

Rui Ye

Zhuan Liu

Appl. Soft Comput., 2017

Extending Lifetime of SSD in Raid5 Systems through a Reliable Hierarchical Cache.

[BibT_eX]

[DOI]

Rui Ye

Wentao Meng

Shenggang Wan

Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

2015

Multidimensional Trust Evaluation Model Based on Redemption and Data Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Semantics, Knowledge and Grids, 2015

2012

SOA based cloud computing trust model research with a curve fitting method.

[BibT_eX]

[DOI]

Rui Ye

Qing Wu

Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012

Rui Ye

Bibliography

Loading...