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Yiliao Song
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2020 – today
- 2024
- [c9]Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar:
FedInverse: Evaluating Privacy Leakage in Federated Learning. ICLR 2024 - [c8]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 - [i2]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 abs/2402.16041 (2024) - 2023
- [j9]Anjin Liu
, Jie Lu
, Yiliao Song
, Junyu Xuan
, Guangquan Zhang
:
Concept Drift Detection Delay Index. IEEE Trans. Knowl. Data Eng. 35(5): 4585-4597 (2023) - [j8]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): 12828-12841 (2023) - [j7]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): 3952-3965 (2023) - [c7]Yiliao Song, Tingru Cui, Feng Liu:
Designing Fair AI Systems: How Explanation specificity Influences Users’ Perceived Fairness and Trusting Intentions. ECIS 2023 - [i1]Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang:
The "code" of Ethics: A Holistic Audit of AI Code Generators. CoRR abs/2305.12747 (2023) - 2022
- [j6]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: 288-304 (2022) - [j5]En Yu, Yiliao Song
, Guangquan Zhang, Jie Lu:
Learn-to-adapt: Concept drift adaptation for hybrid multiple streams. Neurocomputing 496: 121-130 (2022) - [j4]Fan Dong
, Jie Lu
, Yiliao Song
, Feng Liu
, Guangquan Zhang
:
A Drift Region-Based Data Sample Filtering Method. IEEE Trans. Cybern. 52(9): 9377-9390 (2022) - [j3]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): 4876-4889 (2022) - 2021
- [b1]Yiliao Song:
Concept Drift Adaptation for Real-time Prediction. University of Technology Sydney, Australia, 2021 - [c6]Ming Zhou, Yiliao Song
, Guangquan Zhang, Bin Zhang, Jie Lu:
An Efficient Bayesian Neural Network for Multiple Data Streams. IJCNN 2021: 1-8 - 2020
- [j2]Yiliao Song
, Jie Lu
, Haiyan Lu, Guangquan Zhang
:
Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams. IEEE Trans. Fuzzy Syst. 28(3): 544-557 (2020) - [c5]Yiliao Song
, Guangquan Zhang, Haiyan Lu, Jie Lu:
A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression. FUZZ-IEEE 2020: 1-6
2010 – 2019
- 2019
- [c4]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: 1-6 - 2018
- [c3]Yiliao Song
, Guangquan Zhang, Haiyan Lu, Jie Lu:
A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments. FUZZ-IEEE 2018: 1-8 - 2017
- [c2]Yiliao Song
, Guangquan Zhang, Jie Lu, Haiyan Lu
:
A fuzzy kernel c-means clustering model for handling concept drift in regression. FUZZ-IEEE 2017: 1-6 - [c1]Anjin Liu
, Yiliao Song
, Guangquan Zhang, Jie Lu:
Regional Concept Drift Detection and Density Synchronized Drift Adaptation. IJCAI 2017: 2280-2286 - 2016
- [j1]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: 281-297 (2016)
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last updated on 2024-08-08 20:17 CEST by the dblp team
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