Hongda Shen

According to our database1, Hongda Shen authored at least 19 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Collision Detection of Virtual Powered Support Groups Under Complex Floors.
IEEE Trans. Instrum. Meas., 2021

Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection.
CoRR, 2021

Blockchain System Defensive Overview for Double-Spend and Selfish Mining Attacks: A Systematic Approach.
IEEE Access, 2021

On the current and emerging challenges of developing fair and ethical AI solutions in financial services.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery.
J. Imaging, 2020

Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook.
Int. J. Semantic Comput., 2020

Deep Q-network-based adaptive alert threshold selection policy for payment fraud systems in retail banking.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Towards self-regulating AI: challenges and opportunities of AI model governance in financial services.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Universal Golomb-Rice Coding Parameter Estimation Using Deep Belief Networks for Hyperspectral Image Compression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Efficient Lossless Compression of Multitemporal Hyperspectral Image Data.
J. Imaging, 2018

LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images.
Proceedings of the 6th IEEE International Conference on Wireless for Space and Extreme Environments, 2018

Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions.
IEEE Trans. Geosci. Remote. Sens., 2017

Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

Lossless compression of curated erythrocyte images using deep autoencoders for malaria infection diagnosis.
Proceedings of the 2016 Picture Coding Symposium, 2016

Predictive lossless compression of regions of interest in hyperspectral image via Maximum Correntropy Criterion based Least Mean Square learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

An interactive tool for ROI extraction and compression on whole slide images.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

A microcalcification enhancement method for mammogram images.
Proceedings of the IEEE International Conference on Image Processing, 2013

A novel background subtraction method to detect microcalcifications.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2012