Overview
Availability
- Dr Miao Xu is:
- Available for supervision
Qualifications
- Doctor of Philosophy, Nanjing University
Works
Search Professor Miao Xu’s works on UQ eSpace
2026
Conference Publication
Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS
Zheng, Liangwei Nathan, Liang, Wenhao, Zhang, Wei Emma, Xu, Miao, Maennel, Olaf and Chen, Weitong (2026). Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS. New York, NY, USA: ACM. doi: 10.1145/3774904.3792280
2025
Conference Publication
Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement
Zheng, Liangwei Nathan, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf and Chen, Weitong (2025). Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement. 34th Conference on Information and Knowledge Management-CIKM, South Korea, Nov 10-14, 2025. New York, NY, USA: ACM. doi: 10.1145/3746252.3761135
2025
Conference Publication
Calibrating on Kolmogorov-Arnold Network
Liang, Wenhao, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf and Chen, Weitong (2025). Calibrating on Kolmogorov-Arnold Network. 34th Conference on Information and Knowledge Management-CIKM, South Korea, Nov 10-14, 2025. New York, NY, USA: ACM. doi: 10.1145/3746252.3761013
2025
Conference Publication
Calibrating on Medical Segmentation Model through Signed Distance
Liang, Wenhao, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf and Chen, Weitong (2025). Calibrating on Medical Segmentation Model through Signed Distance. 34th Conference on Information and Knowledge Management-CIKM, South Korea, Nov 10-14, 2025. New York, NY, USA: ACM. doi: 10.1145/3746252.3761101
2025
Conference Publication
Machine unlearning for streaming forgetting
Shen, Shaofei, Zhang, Chenhao, Zhao, Yawen, Bialkowski, Alina, Chen, Weitong and Xu, Miao (2025). Machine unlearning for streaming forgetting. 28th European Conference on Artificial Intelligence (ECAI-2025), Bologna, Italy, 25-30 October 2025. Amsterdam, Netherlands: IOS Press. doi: 10.3233/faia251194
2025
Conference Publication
Understanding why large language models can be ineffective in time series analysis: the impact of modality alignment
Zheng, Liangwei Nathan, Dong, Chang, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf and Chen, Weitong (2025). Understanding why large language models can be ineffective in time series analysis: the impact of modality alignment. 31st International Conference on Knowledge Discovery and Data Mining-KDD, Toronto, ON, Canada, 3-7 August 2025. New York, NY, United States: ACM. doi: 10.1145/3711896.3737169
2025
Journal Article
Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data
Han, Kun, Koay, Abigail M. Y., Ko, Ryan K. L., Chen, Weitong and Xu, Miao (2025). Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data. Frontiers of Computer Science, 19 (8) 198340, 1-13. doi: 10.1007/s11704-024-40449-z
2025
Journal Article
Multi-Label Learning with Multiple Complementary Labels
Gao, Yi, Zhu, Jing-Yi, Xu, Miao and Zhang, Min-Ling (2025). Multi-Label Learning with Multiple Complementary Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47 (9), 8013-8024. doi: 10.1109/tpami.2025.3574183
2025
Conference Publication
Cross-view isolated sign language recognition challenge: design, results and future research
Shen, Xin, Du, Heming, Xu, Miao, Liu, Miaomiao and Yu, Xin (2025). Cross-view isolated sign language recognition challenge: design, results and future research. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April-2 May 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3701716.3717522
2025
Conference Publication
Toward efficient data-free unlearning
Zhang, Chenhao, Shen, Shaofei, Chen, Weitong and Xu, Miao (2025). Toward efficient data-free unlearning. 39th AAAI Conference on Artificial Intelligence, Philadelphia, PA, United States, 25 February-4 March 2025. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v39i21.34393
2025
Journal Article
Data Augmentation with Regularization for Multi-labeled Complementary Label Learning
Gao, Yi, Meng, Yuan-Yuan, Xu, Miao and Zhang, Min-Ling (2025). Data Augmentation with Regularization for Multi-labeled Complementary Label Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 48 (3), 1-12. doi: 10.1109/tpami.2025.3626850
2024
Conference Publication
Mining irregular time series data with noisy labels: A risk estimation approach
Han, Kun, Koay, Abigail, Ko, Ryan K. L., Chen, Weitong and Xu, Miao (2024). Mining irregular time series data with noisy labels: A risk estimation approach. 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD Australia, 16-18 December 2024. Singapore: Springer. doi: 10.1007/978-981-96-1242-0_22
2024
Conference Publication
Emotionally guided symbolic music generation using diffusion models: the AGE-DM approach
Zhang, Mingzhe, Ferris, Laura J., Yue, Lin and Xu, Miao (2024). Emotionally guided symbolic music generation using diffusion models: the AGE-DM approach. MMAsia '24, Auckland, New Zealand, 3 - 6 December 2024. New York, NY, United States: ACM. doi: 10.1145/3696409.3700289
2024
Journal Article
Complementary to multiple labels: a correlation-aware correction approach
Gao, Yi, Xu, Miao and Zhang, Min-Ling (2024). Complementary to multiple labels: a correlation-aware correction approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46 (12), 9179-9191. doi: 10.1109/tpami.2024.3416384
2024
Journal Article
A boosting framework for positive-unlabeled learning
Zhao, Yawen, Zhang, Mingzhe, Zhang, Chenhao, Chen, Weitong, Ye, Nan and Xu, Miao (2024). A boosting framework for positive-unlabeled learning. Statistics and Computing, 35 (1) 2. doi: 10.1007/s11222-024-10529-y
2024
Conference Publication
Irregularity-informed time series analysis: adaptive modelling of spatial and temporal dynamics
Zheng, Liangwei Nathan, Li, Zhengyang, Dong, Chang George, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf and Chen, Weitong (2024). Irregularity-informed time series analysis: adaptive modelling of spatial and temporal dynamics. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID, United States, 21-25 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3627673.3679716
2024
Journal Article
Designing unique and high-performance Al alloys via machine learning: mitigating data bias through active learning
Hu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Xu, Miao, Liang, Guofang, Zhou, Jianxin, Xu, Jun, Jiang, Bin, Li, Xue, Ramajayam, Mahendra, Dorin, Thomas and Zhang, Ming-Xing (2024). Designing unique and high-performance Al alloys via machine learning: mitigating data bias through active learning. Computational Materials Science, 244 113204, 113204. doi: 10.1016/j.commatsci.2024.113204
2024
Conference Publication
Unlearning From Weakly Supervised Learning
Tang, Yi, Gao, Yi, Luo, Yong-Gang, Yang, Ju-Cheng, Xu, Miao and Zhang, Min-Ling (2024). Unlearning From Weakly Supervised Learning. 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 3-9 August 2024. Freiburg, Germany: IJCAI. doi: 10.24963/ijcai.2024/553
2024
Journal Article
Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items
Zhang, Chenhao, Chen, Weitong, Zhang, Wei Emma and Xu, Miao (2024). Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items. ACM Transactions on Intelligent Systems and Technology, 16 (1) 5, 1-26. doi: 10.1145/3653983
2024
Conference Publication
Inspecting prediction confidence for detecting black-box backdoor attacks
Wang, Tong, Yao, Yuan, Xu, Feng, Xu, Miao, An, Shengwei and Wang, Ting (2024). Inspecting prediction confidence for detecting black-box backdoor attacks . Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, Canada, 20-27 February 2024. Washington, DC, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i1.27780
Funding
Current funding
Supervision
Availability
- Dr Miao Xu is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Available projects
-
Detecting Key Concepts from Low-Quality Data for Better Decision
Recruiting students with strong academic background and interest in weakly supervised machine learning.
Supervision history
Current supervision
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Doctor Philosophy
Multi-Modal Perception for Context-Aware Systems
Principal Advisor
Other advisors: Dr Yujun Cai
-
Doctor Philosophy
High-stakes Decision Making with Weakly Supervised Data
Principal Advisor
Other advisors: Dr Nan Ye
-
Doctor Philosophy
Deep learning methods for imbalanced medical multivariate time series data
Principal Advisor
-
Doctor Philosophy
Trustworthy Learning from Irregular Time Series: Robust Modeling and Interpretable Decision-Making
Principal Advisor
Other advisors: Professor Ryan Ko
-
Doctor Philosophy
Weakly Supervised Learning for Mental Health
Principal Advisor
-
Doctor Philosophy
Domain Adaptation in Causality Views
Principal Advisor
Other advisors: Dr Alina Bialkowski
-
Doctor Philosophy
Towards knowledge discovery from imperfect and evolving data
Principal Advisor
Other advisors: Associate Professor Xin Yu
-
Doctor Philosophy
Data-limited Class Unlearning: from Methodology to Evaluation
Principal Advisor
-
Doctor Philosophy
Efficient Methods for Automating Reconstruction of Provenance and Cryptocurrency Networks for Crime Attribution
Associate Advisor
Other advisors: Professor Ryan Ko
-
Doctor Philosophy
Understanding Human Intention and Performance
Associate Advisor
Other advisors: Dr Heming Du, Associate Professor Xin Yu
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-
Doctor Philosophy
Multimodal foundation model design and analysis
Associate Advisor
Other advisors: Associate Professor Xin Yu, Dr Heming Du
-
Doctor Philosophy
Analysis of Machine Learning Systems
Associate Advisor
Other advisors: Dr Naipeng Dong
-
Doctor Philosophy
Combating evolving deceptive fake visual information through deepfake detection
Associate Advisor
Other advisors: Associate Professor Xin Yu
-
Doctor Philosophy
Compressed Video Restoration
Associate Advisor
Other advisors: Dr Heming Du, Associate Professor Xin Yu
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Doctor Philosophy
Understanding Human Movements and Sport Performance Analysis
Associate Advisor
Other advisors: Associate Professor Xin Yu
-
Doctor Philosophy
Robust learning algorithms for weakly supervised data
Associate Advisor
Other advisors: Dr Nan Ye
-
Doctor Philosophy
Integrating Deep Learning and Remote Sensing for Precision Agriculture in Staple Crops
Associate Advisor
Other advisors: Associate Professor Xin Yu
-
-
Doctor Philosophy
Demand Profile Modeling for Low-Voltage Distribution System
Associate Advisor
Other advisors: Associate Professor Archie Chapman
Completed supervision
-
2026
Doctor Philosophy
A Study on Map-Matching on Wireless Traffic Sensor Data
Principal Advisor
Other advisors: Associate Professor Jiwon Kim
-
2025
Doctor Philosophy
Secure Cross-device Federated Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin
-
2024
Doctor Philosophy
Federated Graph Neural Network-based Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin
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2023
Doctor Philosophy
From Cloud to Device: Transforming Recommender Systems for On-Device Deployment
Associate Advisor
Other advisors: Professor Hongzhi Yin
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2023
Doctor Philosophy
Decentralized On-device Machine Learning and Unlearning for IoT Collaboration
Associate Advisor
Other advisors: Professor Hongzhi Yin
Media
Enquiries
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