Yiliao Song

According to our database, Yiliao Song authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy.

Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan

CoRR, 2024

2023

Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network.

Ming Zhou, Jie Lu, Yiliao Song, Guangquan Zhang

IEEE Trans. Knowl. Data Eng., December, 2023

Learning Data Streams With Changing Distributions and Temporal Dependency.

Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Concept Drift Detection Delay Index.

Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang

IEEE Trans. Knowl. Data Eng., May, 2023

The "code" of Ethics: A Holistic Audit of AI Code Generators.

Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang

CoRR, 2023

Designing Fair AI Systems: How Explanation specificity Influences Users’ Perceived Fairness and Trusting Intentions.

Yiliao Song, Tingru Cui, Feng Liu

Proceedings of the 31st European Conference on Information Systems, 2023

2022

A Segment-Based Drift Adaptation Method for Data Streams.

Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

A Drift Region-Based Data Sample Filtering Method.

Fan Dong, Jie Lu, Yiliao Song, Feng Liu, Guangquan Zhang

IEEE Trans. Cybern., 2022

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

En Yu, Yiliao Song, Guangquan Zhang, Jie Lu

Neurocomputing, 2022

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

Kun Wang, Jie Lu, Anjin Liu, Yiliao Song, Li Xiong, Guangquan Zhang

Neurocomputing, 2022

2021

Concept Drift Adaptation for Real-time Prediction

Yiliao Song

PhD thesis, 2021

An Efficient Bayesian Neural Network for Multiple Data Streams.

Ming Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams.

Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang

IEEE Trans. Fuzzy Syst., 2020

A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression.

Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu

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.

Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments.

Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Regional Concept Drift Detection and Density Synchronized Drift Adaptation.

Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu

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.

Yiliao Song, Guangquan Zhang, Jie Lu, Haiyan Lu

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.

Jianzhou Wang, Feng Liu, Yiliao Song, Jing Zhao

Appl. Soft Comput., 2016