no code implementations • 11 Jan 2023 • Taoreed Akinola, Xiangfang Li, Richard Wilkins, Pamela Obiomon, Lijun Qian
Image segmentation is a very popular and important task in computer vision.
no code implementations • 27 May 2022 • Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong
However, prediction uncertainty of deep learning models for these tasks, which is very important to safety-critical applications like medical image processing, has not been comprehensively investigated.
no code implementations • 27 Feb 2021 • Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic in over 200 countries and territories, which has resulted in a great public health concern across the international community.
no code implementations • 29 Jun 2020 • Bo Yang, Xuelin Cao, Joshua Bassey, Xiangfang Li, Timothy Kroecker, Lijun Qian
Multi-access edge computing (MEC) has already shown the potential in enabling mobile devices to bear the computation-intensive applications by offloading some tasks to a nearby access point (AP) integrated with a MEC server (MES).
no code implementations • 27 Jun 2020 • Bo Yang, Xuelin Cao, Xiangfang Li, Chau Yuen, Lijun Qian
This letter proposes an edge learning-based offloading framework for autonomous driving, where the deep learning tasks can be offloaded to the edge server to improve the inference accuracy while meeting the latency constraint.
no code implementations • 6 May 2020 • Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian
Then genes in these sentences are represented as gene embeddings to reduce data sparsity.
no code implementations • 19 Apr 2020 • Joshua Bassey, Xiangfang Li, Lijun Qian
Specifically, an autoencoder is used to automatically extract features from the RF traces, and the reconstruction error is used as the DAC and this DAC is unique to the device and the particular message of interest.