Hongda Shen

According to our database, Hongda Shen authored at least 20 papers between 2012 and 2023.

Collaborative distances:

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

2023

Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications.

Hongda Shen, Eren Kurshan

CoRR, 2023

2021

Collision Detection of Virtual Powered Support Groups Under Complex Floors.

Hongda Shen, Jiacheng Xie, Juanli Li, Xuewen Wang, Ning Cai

IEEE Trans. Instrum. Meas., 2021

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

Hongda Shen, Eren Kursun

CoRR, 2021

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

Kervins Nicolas, Yi Wang, George C. Giakos, Bingyang Wei, Hongda Shen

IEEE Access, 2021

On the current and emerging challenges of developing fair and ethical AI solutions in financial services.

Eren Kurshan, Jiahao Chen, Victor Storchan, Hongda Shen

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery.

Zhuocheng Jiang, W. David Pan, Hongda Shen

J. Imaging, 2020

Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook.

Eren Kurshan, Hongda Shen

Int. J. Semantic Comput., 2020

Deep Q-network-based adaptive alert threshold selection policy for payment fraud systems in retail banking.

Hongda Shen, Eren Kurshan

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.

Eren Kurshan, Hongda Shen, Jiahao Chen

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2018

Universal Golomb-Rice Coding Parameter Estimation Using Deep Belief Networks for Hyperspectral Image Compression.

Zhuocheng Jiang, W. David Pan, Hongda Shen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Efficient Lossless Compression of Multitemporal Hyperspectral Image Data.

Hongda Shen, Zhuocheng Jiang, W. David Pan

J. Imaging, 2018

LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images.

Zhuocheng Jiang, W. David Pan, Hongda Shen

Proceedings of the 6th IEEE International Conference on Wireless for Space and Extreme Environments, 2018

2017

Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions.

Hongda Shen, W. David Pan, Dongsheng Wu

IEEE Trans. Geosci. Remote. Sens., 2017

Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression.

Hongda Shen, W. David Pan, Yuhang Dong, Zhuocheng Jiang

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.

Yuhang Dong, Zhuocheng Jiang, Hongda Shen, W. David Pan, Lance A. Williams, Vishnu V. B. Reddy, William H. Benjamin, Allen W. Bryan

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

Lossless compression of curated erythrocyte images using deep autoencoders for malaria infection diagnosis.

Hongda Shen, W. David Pan, Yuhang Dong, Mohammad Alim

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.

Hongda Shen, W. David Pan

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

An interactive tool for ROI extraction and compression on whole slide images.

Yuhang Dong, Hongda Shen, W. David Pan

Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

2013

A microcalcification enhancement method for mammogram images.

Peter C. Tay, Hongda Shen, Robert D. Adams, James Z. Zhang

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

A novel background subtraction method to detect microcalcifications.

Peter C. Tay, Hongda Shen

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2012