Feng Liu

According to our database, Feng Liu authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adaptive Joint Carrier and DOA Estimations of FHSS Signals Based on Knowledge-Enhanced Compressed Measurements and Deep Learning.

Yinghai Jiang, Feng Liu

Entropy, July, 2024

2023

Multi-resolutional human visual perception optimized pathology image progressive coding based on JPEG2000.

Yinghai Jiang, Rongsheng Cui, Feng Liu

Signal Process. Image Commun., July, 2023

Adaptive low-power wrist SpO2 monitoring system design using a multi-filtering scheme.

Guiling Sun, Xiangnan Ren, Zhihong Wang, Feng Liu

Biomed. Signal Process. Control., March, 2023

Knowledge-Enhanced Compressed Measurements for Detection of Frequency-Hopping Spread Spectrum Signals Based on Task-Specific Information and Deep Neural Networks.

Feng Liu, Yinghai Jiang

Entropy, January, 2023

HD²A-Net: A novel dual gated attention network using comprehensive hybrid dilated convolutions for medical image segmentation.

Rongsheng Cui, Runzhuo Yang, Feng Liu, Hua Geng

Comput. Biol. Medicine, 2023

2022

Adaptive Measurement and Decoding of Frequency-Hopping Spread Spectrum Signals Based on Knowledge Enhanced Compressed Sensing.

Feng Liu, Guiling Sun, Shiang Zhang

IEEE Commun. Lett., 2022

Pathology Image Compression Based on JPEG2000, Multi-Resolutional Human Perception and the Region of Interest Predictions.

Yinghai Jiang, Feng Liu, Rongsheng Cui, Xinzhuo Zhang, Xianyuan Zhang

Proceedings of the Data Compression Conference, 2022

2021

Adaptive Detection of Direct-Sequence Spread-Spectrum Signals Based on Knowledge-Enhanced Compressive Measurements and Artificial Neural Networks.

Shuang Zhang, Feng Liu, Yuang Huang, Xuedong Meng

Sensors, 2021

2020

Visibility of quantization errors in reversible JPEG2000.

Feng Liu, Eze Ahanonu, Michael W. Marcellin, Yuzhang Lin, Amit Ashok, Ali Bilgin

Signal Process. Image Commun., 2020

2019

Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer.

M. Khalid Khan Niazi, Yuzhang Lin, Feng Liu, Amit Ashok, Michael W. Marcellin, Gary Tozbikian, Metin Nafi Gürcan, Ali Bilgin

Artif. Intell. Medicine, 2019

Perception-Optimized Encoding for Visually Lossy Image Compression.

Yuzhang Lin, Feng Liu, Miguel Hernández-Cabronero, Eze Ahanonu, Michael W. Marcellin, Ali Bilgin, Amit Ashok

Proceedings of the Data Compression Conference, 2019

2018

A Visual Discrimination Model for JPEG2000 Compression.

Feng Liu, Yuzhang Lin, Miguel Hernández-Cabronero, Eze Ahanonu, Michael W. Marcellin, Amit Ashok, Ali Bilgin

Proceedings of the 2018 Data Compression Conference, 2018

2017

The Current Role of Image Compression Standards in Medical Imaging.

Feng Liu, Miguel Hernández-Cabronero, Victor Sanchez, Michael W. Marcellin, Ali Bilgin

Inf., 2017

Visibility Thresholds in Reversible JPEG2000 Compression.

Feng Liu, Eze Ahanonu, Michael W. Marcellin, Yuzhang Lin, Amit Ashok, Ali Bilgin

Proceedings of the 2017 Data Compression Conference, 2017

2016

Compressive Sampling for Detection of Frequency-Hopping Spread Spectrum Signals.

Feng Liu, Michael W. Marcellin, Nathan A. Goodman, Ali Bilgin

IEEE Trans. Signal Process., 2016

2014

Compressive Detection of Multiple Frequency-Hopping Spread Spectrum Signals.

Feng Liu, Michael W. Marcellin, Nathan A. Goodman, Ali Bilgin

Proceedings of the Data Compression Conference, 2014