Yiliao Song

Orcid: 0000-0002-6633-2695

According to our database1, Yiliao Song authored at least 23 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams.
IEEE Trans. Knowl. Data Eng., December, 2024

The "Code" of Ethics: A Holistic Audit of AI Code Generators.
IEEE Trans. Dependable Secur. Comput., 2024

A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning.
CoRR, 2024

Real-time Fuel Leakage Detection via Online Change Point Detection.
CoRR, 2024

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

FedInverse: Evaluating Privacy Leakage in Federated Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network.
IEEE Trans. Knowl. Data Eng., December, 2023

Learning Data Streams With Changing Distributions and Temporal Dependency.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Concept Drift Detection Delay Index.
IEEE Trans. Knowl. Data Eng., May, 2023

Designing Fair AI Systems: How Explanation specificity Influences Users’ Perceived Fairness and Trusting Intentions.
Proceedings of the 31st European Conference on Information Systems, 2023

2022
A Segment-Based Drift Adaptation Method for Data Streams.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Drift Region-Based Data Sample Filtering Method.
IEEE Trans. Cybern., 2022

Learn-to-adapt: Concept drift adaptation for hybrid multiple streams.
Neurocomputing, 2022

Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation.
Neurocomputing, 2022

2021
Concept Drift Adaptation for Real-time Prediction
PhD thesis, 2021

An Efficient Bayesian Neural Network for Multiple Data Streams.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams.
IEEE Trans. Fuzzy Syst., 2020

A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019
A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Regional Concept Drift Detection and Density Synchronized Drift Adaptation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A fuzzy kernel c-means clustering model for handling concept drift in regression.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system.
Appl. Soft Comput., 2016


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