Rui Ye

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

Bibliography

2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units.
IEEE Trans. Intell. Transp. Syst., November, 2024

GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network.
IEEE Trans. Vis. Comput. Graph., August, 2024

Local Community Detection in Multiple Private Networks.
ACM Trans. Knowl. Discov. Data, June, 2024

A Matrix Translation Model for Evacuation Path Optimization.
IEEE Trans. Intell. Transp. Syst., February, 2024

UMRS Data Inversion Using Tempered Hamiltonian Monte Carlo Method and Its Application to Water Detection in the Tunnel.
IEEE Trans. Geosci. Remote. Sens., 2024

Joint Inversion of UMRS-TEM Data and Its Application for Detection in the Tunnel Using Hamiltonian Monte Carlo Method.
IEEE Trans. Geosci. Remote. Sens., 2024

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation.
CoRR, 2024

Data Quality Control in Federated Instruction-tuning of Large Language Models.
CoRR, 2024

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models.
CoRR, 2024

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models.
CoRR, 2024

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models.
CoRR, 2024

AMSNet: Netlist Dataset for AMS Circuits.
CoRR, 2024

Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models.
CoRR, 2024

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning.
CoRR, 2024

Learn What You Need in Personalized Federated Learning.
CoRR, 2024

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fake It Till Make It: Federated Learning with Consensus-Oriented Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Application of Quantum Annealing Algorithm in The Combined Optimization of Credit Score Cards.
Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

On the Vulnerability of Safety Alignment in Open-Access LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
PEPNet: A barotropic primitive equations-based network for wind speed prediction.
Neural Networks, October, 2023

MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions.
Neural Networks, May, 2023

Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment.
ACM Trans. Intell. Syst. Technol., April, 2023

FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning.
IEEE Trans. Signal Process., 2023

Federated Learning Empowered by Generative Content.
CoRR, 2023

FedDisco: Federated Learning with Discrepancy-Aware Collaboration.
Proceedings of the International Conference on Machine Learning, 2023

Personalized Federated Learning with Inferred Collaboration Graphs.
Proceedings of the International Conference on Machine Learning, 2023

2022
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

MSTCGAN: Multiscale Time Conditional Generative Adversarial Network for Long-Term Satellite Image Sequence Prediction.
IEEE Trans. Geosci. Remote. Sens., 2022

DynamicNet: A time-variant ODE network for multi-step wind speed prediction.
Neural Networks, 2022

SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction.
Inf. Sci., 2022

A relationship-aligned transfer learning algorithm for time series forecasting.
Inf. Sci., 2022

GPA-Net: No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network.
CoRR, 2022

MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning.
CoRR, 2022

Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network.
Cogn. Comput., 2022

Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Implementing transfer learning across different datasets for time series forecasting.
Pattern Recognit., 2021

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification.
CoRR, 2021

RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting.
CoRR, 2021

Integrating Multi-Source Transfer Learning, Active Learning and Metric Learning paradigms for Time Series Prediction.
Appl. Soft Comput., 2021

Pedestrian dynamics in single-File movement under Background Music with Different Tempos.
Adv. Complex Syst., 2021

Uni- and bidirectional pedestrian flows through zigzag corridor in a tourism area: a field study.
Adapt. Behav., 2021

Dynamic Graph Construction for Improving Diversity of Recommendation.
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.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
A hybrid transfer learning algorithm incorporating TrSVM with GASEN.
Pattern Recognit., 2019

A novel double incremental learning algorithm for time series prediction.
Neural Comput. Appl., 2019

MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction.
Appl. Soft Comput., 2019

A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Study on Uni-directinal Pedestrian Flow Based on Artificial Neural Network.
Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019

Information system and management for campus safety.
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.
Neural Process. Lett., 2018

A novel transfer learning framework for time series forecasting.
Knowl. Based Syst., 2018

Non-translational Alignment for Multi-relational Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Considering diversity and accuracy simultaneously for ensemble pruning.
Appl. Soft Comput., 2017

Extending Lifetime of SSD in Raid5 Systems through a Reliable Hierarchical Cache.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

2015
Multidimensional Trust Evaluation Model Based on Redemption and Data Aggregation.
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.
Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012


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