Publications
My research focuses on streaming data mining and trustworthy AI. I am interested in providing robust online forecasting results for streaming data that is neither identically nor independently distributed. In addition, I am also keen on using the forecasting results to support real-time decision-making. So far, I have studied the real-time decision-making methodologies for energy sector.
Selected Publications
See Google Scholar profile for a full list of publications.
2025
- Flow: Modularized Agentic Workflow Automation (Boye Niu and Yiliao Song and Kai Lian and Yifan Shen and Yu Yao, Kun Zhang and Tongliang Liu) International Conference on Learning Representations (ICLR)
- A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning (Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li, Yue Li) 31st SIGKDD Conference on Knowledge Discovery and Data Mining - Research Track (February 2025 Deadline)
- TrapNet: Model Inversion Defense via Trapdoor (Ma, Wanlun and Wang, Derui and Song, Yiliao and Xue, Minhui and Wen, Sheng and Li, Zhengdao and Xiang, Yang) IEEE Transactions on Information Forensics and Security
- An effective approach for early fuel leakage detection with enhanced explainability (Ruimin Chu and Li Chik and Yiliao Song and Jeffrey Chan and Xiaodong Li) Intelligent Systems with Applications
- Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors (Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia) The 63rd Annual Meeting of the Association for Computational Linguistics
- Deep Kernel Relative Test for Machine-generated Text Detection (Yiliao Song and Zhenqiao Yuan and Shuhai Zhang and Zhen Fang and Jun Yu and Feng Liu) International Conference on Learning Representations (ICLR)
2024
- Measuring BIM Implementation: A Mathematical Modeling and Artificial Neural Network Approach (Abbasnejad, Behzad and Nasirian, Araz and Duan, Sophia and Diro, Abebe and Prasad Nepal, Madhav and Song, Yiliao) Journal of Construction Engineering and Management
- The ``Code" of Ethics: A Holistic Audit of AI Code Generators (Ma, Wanlun and Song, Yiliao and Xue, Minhui and Wen, Sheng and Xiang, Yang) IEEE Transactions on Dependable and Secure Computing
- Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (Shuhai Zhang and Yiliao Song and Jiahao Yang and Yuanqing Li and Bo Han and Mingkui Tan) International Conference on Learning Representations (ICLR)
- FedInverse: Evaluating privacy leakage in federated learning (Wu, Di and Bai, Jun and Song, Yiliao and Chen, Junjun and Zhou, Wei and Xiang, Yong and Sajjanhar, Atul) International Conference on Learning Representations (ICLR)
- Tunable broadband luminescence of Bi-ion-doped glasses via Gd2O3 co-doping (Zhang, Qinyang and Lai, Niu and He, Maoxin and Yang, Yanqiong and Huang, Qiqiang and Quan, Yingjia and Hou, Shaoqi and Gao, Xiaochun and Song, Yiliao and Liao, Jiayan and others) Journal of the American Ceramic Society
2023
- DESIGNING FAIR AI SYSTEMS: HOW EXPLANATION SPECIFICITY INFLUENCES USERS{'} PERCEIVED FAIRNESS AND TRUSTING INTENTIONS (Song, Yiliao and Cui, Tingru and Liu, Feng and others) {European Conference on Information Systems (ECIS)}
- Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams (Yu, Hang and Li, Jinpeng and Lu, Jie and Song, Yiliao and Xie, Shaorong and Zhang, Guangquan) IEEE Transactions on Knowledge and Data Engineering
- Multi-stream concept drift self-adaptation using graph neural network (Zhou, Ming and Lu, Jie and Song, Yiliao and Zhang, Guangquan) IEEE Transactions on Knowledge and Data Engineering
2022
- Concept drift detection delay index (Liu, Anjin and Lu, Jie and Song, Yiliao and Xuan, Junyu and Zhang, Guangquan) IEEE Transactions on Knowledge and Data Engineering
- Multiplexed structured illumination super-resolution imaging with lifetime-engineered upconversion nanoparticles (Liu, Baolei and Liao, Jiayan and Song, Yiliao and Chen, Chaohao and Ding, Lei and Lu, Jie and Zhou, Jiajia and Wang, Fan) Nanoscale Advances
- Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation (Wang, Kun and Lu, Jie and Liu, Anjin and Song, Yiliao and Xiong, Li and Zhang, Guangquan) Neurocomputing
- Learn-to-adapt: Concept drift adaptation for hybrid multiple streams (Yu, En and Song, Yiliao and Zhang, Guangquan and Lu, Jie) Neurocomputing
2021
- A drift region-based data sample filtering method (Dong, Fan and Lu, Jie and Song, Yiliao and Liu, Feng and Zhang, Guangquan) IEEE Transactions on Cybernetics
- Pre-selectable Optical Fingerprints of Heterogeneous Upconversion Nanoparticles (Liao, Jiayan and Zhou, Jiajia and Song, Yiliao and Liu, Baolei and Chen, Yinghui and Wang, Fan and Chen, Chaohao and Lin, Jun and Chen, Xueyuan and Lu, Jie and others) Nano Letters
- Optical fingerprint classification of single upconversion nanoparticles by deep learning (Liao, Jiayan and Zhou, Jiajia and Song, Yiliao and Liu, Baolei and Lu, Jie and Jin, Dayong) The Journal of Physical Chemistry Letters
- A segment-based drift adaptation method for data streams (Song, Yiliao and Lu, Jie and Liu, Anjin and Lu, Haiyan and Zhang, Guangquan) IEEE transactions on neural networks and learning systems
- Learning data streams with changing distributions and temporal dependency (Song, Yiliao and Lu, Jie and Lu, Haiyan and Zhang, Guangquan) IEEE Transactions on Neural Networks and Learning Systems
- An efficient Bayesian neural network for multiple data streams (Zhou, Ming and Song, Yiliao and Zhang, Guangquan and Zhang, Bin and Lu, Jie) {The International Joint Conference on Neural Networks (IJCNN)}
2020
2019
2018
2017
- A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting (Jiang, Ping and Liu, Feng and Song, Yiliao) Energy
- Regional concept drift detection and density synchronized drift adaptation (Liu, Anjin and Song, Yiliao and Zhang, Guangquan and Lu, Jie) {International Joint Conference on Artificial Intelligence (IJCAI)}
- Development of a hybrid model to predict construction and demolition waste: China as a case study (Song, Yiliao and Wang, Yong and Liu, Feng and Zhang, Yixin) Waste Management
- A fuzzy kernel c-means clustering model for handling concept drift in regression (Song, Yiliao and Zhang, Guangquan and Lu, Jie and Lu, Haiyan) {IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)}
2016
- A hybrid multi-step model for forecasting day-ahead electricity price based on optimization, fuzzy logic and model selection (Jiang, Ping and Liu, Feng and Song, Yiliao) Energies
- Cuckoo search-designated fractal interpolation functions with winner combination for estimating missing values in time series (Jiang, Ping and Liu, Feng and Wang, Jianzhou and Song, Yiliao) Applied Mathematical Modelling
- Comparison Study of AI-based Methods in Wind Energy (Ping Jiang and Feng Liu and Yiliao Song) New Applications of Artificial Intelligence
- A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system (Wang, Jianzhou and Liu, Feng and Song, Yiliao and Zhao, Jing) Applied Soft Computing
- Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models (Wang, Jianzhou and Song, Yiliao and Liu, Feng and Hou, Ru) Renewable and Sustainable Energy Reviews
- Daily average wind power interval forecasts based on an optimal adaptive-network-based fuzzy inference system and singular spectrum analysis (Zhang, Zhongrong and Song, Yiliao and Liu, Feng and Liu, Jinpeng) Sustainability
2015
- Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2. 5) levels using association rules: A case study of the Jing-Jin-Ji region, China (Qin, Shanshan and Liu, Feng and Wang, Chen and Song, Yiliao and Qu, Jiansheng) Atmospheric Environment
- Interval forecasts of a novelty hybrid model for wind speeds (Qin, Shanshan and Liu, Feng and Wang, Jianzhou and Song, Yiliao) Energy Reports
- The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze River Delta region (Song, Yiliao and Qin, Shanshan and Qu, Jiansheng and Liu, Feng) Atmospheric Environment
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