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
2020
Conference Publication
Provably consistent partial-label learning
Feng, Lei, Lv, Jiaqi, Han, Bo, Xu, Miao, Niu, Gang, Geng, Xin, An, Bo and Sugiyama, Masashi (2020). Provably consistent partial-label learning. Conference on Neural Information Processing Systems, Vancouver, Canada, 6-12 December 2020. Maryland Heights, MO, United States: Morgan Kaufmann Publishers.
2020
Conference Publication
Progressive identification of true labels for partial-label learning
Lvy, Jiaqi, Xu, Miao, Feng, Lei, Niu, Gang, Geng, Xin and Sugiyama, Masashi (2020). Progressive identification of true labels for partial-label learning. 37th International Conference on Machine Learning (ICML 2020), Vienna, Austria, 12-18 July 2020. International Machine Learning Society.
2019
Conference Publication
Clipped Matrix Completion: A Remedy for Ceiling Effects
Teshima, Takeshi, Xu, Miao, Sato, Issei and Sugiyama, Masashi (2019). Clipped Matrix Completion: A Remedy for Ceiling Effects. Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, HI United States, 27 January – 1 February 2019. PALO ALTO: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/aaai.v33i01.33015151
2018
Conference Publication
Co-teaching: Robust training of deep neural networks with extremely noisy labels
Han, Bo, Yao, Quanming, Yu, Xingrui, Niu, Gang, Xu, Miao, Hu, Weihua, Tsang, Ivor W. and Sugiyama, Masashi (2018). Co-teaching: Robust training of deep neural networks with extremely noisy labels. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, Canada, 2-8 December, 2018. Maryland Heights, MO, United States: Morgan Kaufmann Publishers. doi: 10.5555/3327757.3327944
2018
Conference Publication
Active Feature Acquisition with Supervised Matrix Completion
Huang, Sheng-Jun, Xu, Miao, Xie, Ming-Kun, Sugiyama, Masashi, Niu, Gang and Chen, Songcan (2018). Active Feature Acquisition with Supervised Matrix Completion. 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, London, United Kingdom, July 2018. New York, NY United States: ACM. doi: 10.1145/3219819.3220084
2017
Journal Article
Kernel method for matrix completion with side information and its application in multi-label learning
Xu, Miao and Zhou, Zhi-Hua (2017). Kernel method for matrix completion with side information and its application in multi-label learning. Scientia Sinica Informationis, 48 (1), 47-59. doi: 10.1360/n112016-00279
2017
Conference Publication
Incomplete Label Distribution Learning
Xu, Miao and Zhou, Zhi-Hua (2017). Incomplete Label Distribution Learning. Twenty-Sixth International Joint Conference on Artificial Intelligence, Melbourne, VIC Australia, 19-25 August 2017. Melbourne, VIC Australia: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2017/443
2015
Conference Publication
CUR algorithm for partially observed matrices
Xu, Miao, Jin, Rong and Zhou, Zhi-Hua (2015). CUR algorithm for partially observed matrices. 32nd International Conference on Machine Learning, Lille, France, 7-9 July, 2015. San Diego, CA, United States: JMLR.
2013
Conference Publication
Multi-label learning with PRO LOSS
Xu, Miao, Li, Yu-Feng and Zhou, Zhi-Hua (2013). Multi-label learning with PRO LOSS. AAAI-13: Twenty-Seventh Conference on Artificial Intelligence, Bellevue, WA USA, 14-18 July 2013.
2013
Conference Publication
Speedup matrix completion with side information: application to multi-label learning
Xu, Miao, Jin, Rong and Zhou, Zhi-Hua (2013). Speedup matrix completion with side information: application to multi-label learning. NIPS'13: Proceedings of the 26th International Conference on Neural Information Processing Systems, Lake Tahoe, NV USA, 5-10 December 2013. Maryland Heights, MO USA: Morgan Kaufmann Publishers.
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
-
Doctor Philosophy
A Study on Map-Matching on Wireless Traffic Sensor Data
Principal Advisor
Other advisors: Associate Professor Jiwon Kim
-
Doctor Philosophy
Weakly Supervised Learning for Mental Health
Principal Advisor
Other advisors: Dr Laura Ferris
-
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
Fairness-aware Personal Medicine: From Disease Diagnosis to Treatment
Principal Advisor
-
Doctor Philosophy
Domain Adaptation in Causality Views
Principal Advisor
Other advisors: Dr Alina Bialkowski
-
Doctor Philosophy
Machine Learning for Cyber Security
Principal Advisor
Other advisors: Professor Ryan Ko
-
Doctor Philosophy
Towards knowledge discovery from imperfect and evolving data
Principal Advisor
Other advisors: Dr Xin Yu
-
-
Doctor Philosophy
Compressed Video Restoration
Associate Advisor
Other advisors: Dr Heming Du, Dr Xin Yu
-
Doctor Philosophy
Combating evolving deceptive fake visual information through deepfake detection
Associate Advisor
Other advisors: Dr Xin Yu
-
Doctor Philosophy
Efficient Methods for Automating Reconstruction of Provenance and Cryptocurrency Networks for Crime Attribution
Associate Advisor
Other advisors: Professor Ryan Ko
-
Doctor Philosophy
Analysis of Machine Learning Systems
Associate Advisor
Other advisors: Dr Naipeng Dong
-
Doctor Philosophy
Understanding Human Intention and Performance
Associate Advisor
Other advisors: Dr Heming Du, Dr Xin Yu
-
-
Master Philosophy
Privacy Compliance in Software Ecosystems
Associate Advisor
Other advisors: Dr Naipeng Dong
-
Doctor Philosophy
Understanding Human Movements and Sport Performance Analysis
Associate Advisor
Other advisors: Dr Xin Yu
-
Doctor Philosophy
Integrating Deep Learning and Remote Sensing for Precision Agriculture in Staple Crops
Associate Advisor
Other advisors: Dr Xin Yu
-
Doctor Philosophy
Multimodal foundation model design and analysis
Associate Advisor
Other advisors: Dr Heming Du, Dr Xin Yu
-
Doctor Philosophy
Demand Profile Modeling for Low-Voltage Distribution System
Associate Advisor
Other advisors: Associate Professor Archie Chapman
Completed supervision
-
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
-
2023
Doctor Philosophy
From Cloud to Device: Transforming Recommender Systems for On-Device Deployment
Associate Advisor
Other advisors: Professor Hongzhi Yin
-
2023
Doctor Philosophy
Decentralized On-device Machine Learning and Unlearning for IoT Collaboration
Associate Advisor
Other advisors: Professor Hongzhi Yin
Media
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