Yiliao Song

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy. ICLR (2024)
Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar
FedInverse: Evaluating Privacy Leakage in Federated Learning. ICLR (2024)
Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy. CoRR (2024)
Yiliao Song, Tingru Cui, Feng Liu
Designing Fair AI Systems: How Explanation specificity Influences Usersâ€™ Perceived Fairness and Trusting Intentions. ECIS (2023)
Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang
Learning Data Streams With Changing Distributions and Temporal Dependency. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang
The "code" of Ethics: A Holistic Audit of AI Code Generators. CoRR (2023)
Ming Zhou, Jie Lu, Yiliao Song, Guangquan Zhang
Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang
Concept Drift Detection Delay Index. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
En Yu, Yiliao Song, Guangquan Zhang, Jie Lu
Learn-to-adapt: Concept drift adaptation for hybrid multiple streams. Neurocomputing 496 (2022)
Fan Dong, Jie Lu, Yiliao Song, Feng Liu, Guangquan Zhang
A Drift Region-Based Data Sample Filtering Method. IEEE Trans. Cybern. 52 (9) (2022)
Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang
A Segment-Based Drift Adaptation Method for Data Streams. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Kun Wang, Jie Lu, Anjin Liu, Yiliao Song, Li Xiong, Guangquan Zhang
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. Neurocomputing 491 (2022)
Ming Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu
An Efficient Bayesian Neural Network for Multiple Data Streams. IJCNN (2021)
Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang
Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams. IEEE Trans. Fuzzy Syst. 28 (3) (2020)
Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu
A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression. FUZZ-IEEE (2020)
Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu
A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression. FUZZ-IEEE (2019)
Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu
A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments. FUZZ-IEEE (2018)
Yiliao Song, Guangquan Zhang, Jie Lu, Haiyan Lu
A fuzzy kernel c-means clustering model for handling concept drift in regression. FUZZ-IEEE (2017)
Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu
Regional Concept Drift Detection and Density Synchronized Drift Adaptation. IJCAI (2017)
Jianzhou Wang, Feng Liu, Yiliao Song, Jing Zhao
A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system. Appl. Soft Comput. 48 (2016)