Yiliao Song

44 papers A* 5B 5Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — ed.
AI 2025: Advances in Artificial Intelligence - 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, ACT, Australia, December 1-5, 2025, Proceedings, Part I
AI (1)
Miaomiao Liu, Xin Yu, Chang Xu, Yiliao Song
2026 — ed.
AI 2025: Advances in Artificial Intelligence - 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, ACT, Australia, December 1-5, 2025, Proceedings, Part II
AI (2)
Miaomiao Liu, Xin Yu, Chang Xu, Yiliao Song
2026 J jnl
Does Peer Observation Help? Vision-Sharing Collaboration for Vision-Language Navigation.
CoRR
Qunchao Jin, Yiliao Song, Qi Wu
2026 J jnl
From Storage to Steering: Memory Control Flow Attacks on LLM Agents.
CoRR
Zhenlin Xu, Xiaogang Zhu, Yu Yao, Minhui Xue, Yiliao Song
2026 J jnl
Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models.
CoRR
In Chong Choi, Jiacheng Zhang, Feng Liu, Yiliao Song
2025 J jnl
A Multistream Concept Drift Handling Framework via Data Sharing.
IEEE Trans. Cybern.
Bin Zhang, Jie Lu, Yiliao Song, Guangquan Zhang
2025 — conf
A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning.
KDD (2)
Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li, Yue Li
2025 — ed.
AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part I
AI (1)
Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang
2025 — ed.
AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part II
AI (2)
Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang
2025 J jnl
An effective approach for early fuel leakage detection with enhanced explainability.
Intell. Syst. Appl.
Ruimin Chu, Li Chik, Yiliao Song, Jeffrey Chan, Xiaodong Li
2025 — conf
Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors.
ACL (1)
Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia
2025 J jnl
Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors.
CoRR
Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia
2025 A* conf
Deep Kernel Relative Test for Machine-generated Text Detection.
ICLR
Yiliao Song, Zhenqiao Yuan, Shuhai Zhang, Zhen Fang, Jun Yu, Feng Liu
2025 J jnl
Flow: A Modular Approach to Automated Agentic Workflow Generation.
CoRR
Boye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao, Kun Zhang, Tongliang Liu
2025 A* conf
Flow: Modularized Agentic Workflow Automation.
ICLR
Boye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao, Kun Zhang, Tongliang Liu
2025 — conf
Predicting Generalization Error Under Graph Distribution Shifts via Parameter Discrepancy with Accumulated Gradient.
AI (1)
Jianbin Li, Yiliao Song, Lingqiao Liu
2025 J jnl
Real-time fuel leakage detection via online change point detection.
Int. J. Data Sci. Anal.
Ruimin Chu, Li Chik, Yiliao Song, Jeffrey Chan, Xiaodong Li
2025 J jnl
TrapNet: Model Inversion Defense via Trapdoor.
IEEE Trans. Inf. Forensics Secur.
Wanlun Ma, Derui Wang, Yiliao Song, Minhui Xue, Sheng Wen, Zhengdao Li, Yang Xiang
2025 J jnl
Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks.
CoRR
Kunhao Li, Di Wu, Jun Bai, Jing Xu, Lei Yang, Ziyi Zhang, Yiliao Song, Wencheng Yang, Taotao Cai, Yan Li
2024 J jnl
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning.
CoRR
Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li
2024 A* conf
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy.
ICLR
Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan
2024 J jnl
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy.
CoRR
Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han, Mingkui Tan
2024 A* conf
FedInverse: Evaluating Privacy Leakage in Federated Learning.
ICLR
Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar
2024 J jnl
Real-time Fuel Leakage Detection via Online Change Point Detection.
CoRR
Ruimin Chu, Li Chik, Yiliao Song, Jeffrey Chan, Xiaodong Li
2024 J jnl
The "Code" of Ethics: A Holistic Audit of AI Code Generators.
IEEE Trans. Dependable Secur. Comput.
Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang
2024 J jnl
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams.
IEEE Trans. Knowl. Data Eng.
Hang Yu, Jinpeng Li, Jie Lu, Yiliao Song, Shaorong Xie, Guangquan Zhang
2023 J jnl
Concept Drift Detection Delay Index.
IEEE Trans. Knowl. Data Eng.
Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang
2023 — conf
Designing Fair AI Systems: How Explanation specificity Influences Users’ Perceived Fairness and Trusting Intentions.
ECIS
Yiliao Song, Tingru Cui, Feng Liu
2023 J jnl
Learning Data Streams With Changing Distributions and Temporal Dependency.
IEEE Trans. Neural Networks Learn. Syst.
Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang
2023 J jnl
Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Ming Zhou, Jie Lu, Yiliao Song, Guangquan Zhang
2023 J jnl
The "code" of Ethics: A Holistic Audit of AI Code Generators.
CoRR
Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang
2022 J jnl
A Drift Region-Based Data Sample Filtering Method.
IEEE Trans. Cybern.
Fan Dong, Jie Lu, Yiliao Song, Feng Liu, Guangquan Zhang
2022 J jnl
A Segment-Based Drift Adaptation Method for Data Streams.
IEEE Trans. Neural Networks Learn. Syst.
Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang
2022 J jnl
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation.
Neurocomputing
Kun Wang, Jie Lu, Anjin Liu, Yiliao Song, Li Xiong, Guangquan Zhang
2022 J jnl
Learn-to-adapt: Concept drift adaptation for hybrid multiple streams.
Neurocomputing
En Yu, Yiliao Song, Guangquan Zhang, Jie Lu
2021 B conf
An Efficient Bayesian Neural Network for Multiple Data Streams.
IJCNN
Ming Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu
2021 — —
Concept Drift Adaptation for Real-time Prediction
Yiliao Song
2020 B conf
A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression.
FUZZ-IEEE
Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu
2020 J jnl
Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams.
IEEE Trans. Fuzzy Syst.
Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang
2019 B conf
A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression.
FUZZ-IEEE
Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu
2018 B conf
A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments.
FUZZ-IEEE
Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu
2017 B conf
A fuzzy kernel c-means clustering model for handling concept drift in regression.
FUZZ-IEEE
Yiliao Song, Guangquan Zhang, Jie Lu, Haiyan Lu
2017 A* conf
Regional Concept Drift Detection and Density Synchronized Drift Adaptation.
IJCAI
Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu
2016 J jnl
A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system.
Appl. Soft Comput.
Jianzhou Wang, Feng Liu, Yiliao Song, Jing Zhao