A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system. - Jianzhou Wang; Feng Liu 003; Yiliao Song; Jing Zhao (Appl. Soft Comput., 2016)

A fuzzy kernel c-means clustering model for handling concept drift in regression. - Yiliao Song; Guangquan Zhang 001; Jie Lu 001; Haiyan Lu (FUZZ-IEEE, 2017)

Regional Concept Drift Detection and Density Synchronized Drift Adaptation. - Anjin Liu; Yiliao Song; Guangquan Zhang 001; Jie Lu 001 (IJCAI, 2017)

A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments. - Yiliao Song; Guangquan Zhang 001; Haiyan Lu; Jie Lu 001 (FUZZ-IEEE, 2018)

A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression. - Yiliao Song; Guangquan Zhang 001; Haiyan Lu; Jie Lu 001 (FUZZ-IEEE, 2019)

A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression. - Yiliao Song; Guangquan Zhang 001; Haiyan Lu; Jie Lu 001 (FUZZ-IEEE, 2020)

Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams. - Yiliao Song; Jie Lu 001; Haiyan Lu; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2020)

An Efficient Bayesian Neural Network for Multiple Data Streams. - Ming Zhou; Yiliao Song; Guangquan Zhang 001; Bin Zhang; Jie Lu 001 (IJCNN, 2021)

Concept Drift Adaptation for Real-time Prediction - Yiliao Song (2021)

Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. - Kun Wang 050; Jie Lu 001; Anjin Liu; Yiliao Song; Li Xiong 002; Guangquan Zhang 001 (Neurocomputing, 2022)

Learn-to-adapt: Concept drift adaptation for hybrid multiple streams. - En Yu; Yiliao Song; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2022)

A Drift Region-Based Data Sample Filtering Method. - Fan Dong; Jie Lu 001; Yiliao Song; Feng Liu 003; Guangquan Zhang 001 (IEEE Trans. Cybern., 2022)

A Segment-Based Drift Adaptation Method for Data Streams. - Yiliao Song; Jie Lu 001; Anjin Liu; Haiyan Lu; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Designing Fair AI Systems: How Explanation specificity Influences Users’ Perceived Fairness and Trusting Intentions. - Yiliao Song; Tingru Cui; Feng Liu 003 (ECIS, 2023)

Concept Drift Detection Delay Index. - Anjin Liu; Jie Lu 001; Yiliao Song; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning Data Streams With Changing Distributions and Temporal Dependency. - Yiliao Song; Jie Lu 001; Haiyan Lu; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network. - Ming Zhou; Jie Lu 001; Yiliao Song; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

FedInverse: Evaluating Privacy Leakage in Federated Learning. - Di Wu 050; Jun Bai; Yiliao Song; Junjun Chen; Wei Zhou; Yong Xiang 001; Atul Sajjanhar (ICLR, 2024)

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy. - Shuhai Zhang; Yiliao Song; Jiahao Yang; Yuanqing Li 001; Bo Han 003; Mingkui Tan (ICLR, 2024)

Real-time Fuel Leakage Detection via Online Change Point Detection. - Ruimin Chu; Li Chik; Yiliao Song; Jeffrey Chan; Xiaodong Li 001 (CoRR, 2024)

A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning. - Jun Bai; Yiliao Song; Di Wu 050; Atul Sajjanhar; Yong Xiang 001; Wei Zhou; Xiaohui Tao 001; Yan Li 002 (CoRR, 2024)

The "Code" of Ethics: A Holistic Audit of AI Code Generators. - Wanlun Ma; Yiliao Song; Minhui Xue 001; Sheng Wen; Yang Xiang 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams. - Hang Yu 006; Jinpeng Li; Jie Lu 001; Yiliao Song; Shaorong Xie; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors. - Senqi Yang; Dongyu Zhang 001; Jing Ren 001; Ziqi Xu 001; Xiuzhen Zhang 001; Yiliao Song; Hongfei Lin; Feng Xia 001 (ACL (1), 2025)

Flow: Modularized Agentic Workflow Automation. - Boye Niu; Yiliao Song; Kai Lian; Yifan Shen 004; Yu Yao 005; Kun Zhang 001; Tongliang Liu (ICLR, 2025)

Deep Kernel Relative Test for Machine-generated Text Detection. - Yiliao Song; Zhenqiao Yuan; Shuhai Zhang; Zhen Fang 001; Jun Yu; Feng Liu 003 (ICLR, 2025)

An effective approach for early fuel leakage detection with enhanced explainability. - Ruimin Chu; Li Chik; Yiliao Song; Jeffrey Chan; Xiaodong Li 001 (Intell. Syst. Appl., 2025)

TrapNet: Model Inversion Defense via Trapdoor. - Wanlun Ma; Derui Wang; Yiliao Song; Minhui Xue 001; Sheng Wen; Zhengdao Li; Yang Xiang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Flow: A Modular Approach to Automated Agentic Workflow Generation. - Boye Niu; Yiliao Song; Kai Lian; Yifan Shen 004; Yu Yao 005; Kun Zhang 001; Tongliang Liu (CoRR, 2025)

Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks. - Kunhao Li; Di Wu 050; Jun Bai; Jing Xu; Lei Yang; Ziyi Zhang; Yiliao Song; Wencheng Yang; Taotao Cai; Yan Li 002 (CoRR, 2025)