Zhen Qiu

Experimental Analysis of Algorithms for Coflow Scheduling

2016 · arXiv (Cornell University)

Modern data centers face new scheduling challenges in optimizing job-level performance objectives, where a significant challenge is the scheduling of highly parallel data flows with a common performance goal (e.g., the shuffle operations in MapReduce …

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. …