Mingkui Tan

Online Adaptive Asymmetric Active Learning with Limited Budgets

2019 · arXiv (Cornell University)

Online Active Learning (OAL) aims to manage unlabeled datastream by selectively querying the label of data. OAL is applicable to many real-world problems, such as anomaly detection in health-care and finance. In these problems, there …

Adaptive cost-sensitive online classification

2019 · Singapore Management University Institutional Knowledge (InK) (Singapore Management University)

National Research Foundation (NRF) Singapore under International Research Centres in Singapore Funding Initiative

Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification

2022 · arXiv (Cornell University)

Deep learning (DL) has made significant progress in angle closure classification with anterior segment optical coherence tomography (AS-OCT) images. These AS-OCT images are often acquired by different imaging devices/conditions, which results in a vast change …

Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment

2023 · arXiv (Cornell University)

Source-free Unsupervised Domain Adaptation (SF-UDA) aims to adapt a well-trained source model to an unlabeled target domain without access to the source data. One key challenge is the lack of source data during domain adaptation. …

Course Assessment Reform Based on Internet and Mobile Internet Technology

2024

Examination and evaluation are effective methods for assessing the effectiveness of teaching and the quality of talent cultivation, which are essential components of the teaching process. Traditional course assessments focus on final assessments through paper-based …