Miao Xu

Lecturer

The University of Queensland

Australia

Research Interests

Explore related searches

Professors in Australia Professors in Machine Learning Machine Learning professors in Australia

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Miao Xu is a Lecturer at the University of Queensland, Australia. His research interests encompass machine learning applications in diverse fields, including alloy design, time series analysis, and medical data. Recent publications highlight his focus on improving learning frameworks, addressing challenges in multivariate data, and enhancing personalized e-health solutions.

Articles (10)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Collaborators (6)

Xue Li

University of Queensland

AUSTRALIA

View details

Bo An

Associate Professor

Nanyang Technological University (NTU)

SINGAPORE

View details

Masashi Sugiyama

University of Tokyo

JAPAN

View details

Ming-Xing Zhang

Professor

University of Queensland

AUSTRALIA

View details

Sen Wang

Senior Lecturer

University of Queensland

AUSTRALIA

View details

Lei Feng

Assistant Professor

Singapore University of Technology and Design

SINGAPORE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Miao Xu

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data

Designing unique and high-performance Al alloys via machine learning: mitigating data bias through active learning

Complementary to multiple labels: a correlation-aware correction approach

A boosting framework for positive-unlabeled learning

Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items

On the Robustness of Average Losses for Partial-Label Learning

Recent applications of machine learning in alloy design: A review

Pre-training in medical data: a survey

Personalized on-device e-health analytics with decentralized block coordinate descent

Learning from group supervision: the impact of supervision deficiency on multi-label learning

Collaborators (6)

Xue Li

Bo An

Masashi Sugiyama

Ming-Xing Zhang

Sen Wang

Lei Feng

Make your next move.