Xiaofang Zhao

Using Centralized I/O Scheduling Service (CISS) to Improve Cloud Object Storage Performance

2018

Load imbalance reduces performance of cloud object storage with restrained system utilization and cost performance. The state of the art is to model load status by probing data nodes for decentralized scheduling (e.g. C3). This …

Enhancing Semi-Supervised Learning with Cross-Modal Knowledge

2022 · Proceedings of the 30th ACM International Conference on Multimedia

Semi-supervised learning (SSL), which leverages a small number of labeled data that rely on expert knowledge and a large number of easily accessible unlabeled data, has made rapid progress recently. However, the information comes from …

SMPI: Scalable Serverless MPI Computing

2022

Running HPC in the cloud has gained more and more practice. As a new cloud paradigm, serverless is highly attractive for HPC service providers due to its distinctive benefits such as scalability. However, it is …

Get a Head Start: Targeted Labeling at Source with Limited Annotation Overhead for Semi-Supervised Learning

2023

Semi-supervised learning (SSL), which leverages limited labeled data and a large amount of unlabeled data for model training, has been widely studied to mitigate the requirement for expensive and time-consuming annotations. Recently proposed methods have …