Hongda Shen

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 22

Top Topics

Fraud Detection

Lossless Compression

Financial Services

Top Venues

Publications

Hongda Shen, Eren Kurshan
Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications. CoRR (2023)
Eren Kurshan, Jiahao Chen, Victor Storchan, Hongda Shen
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services. CoRR (2021)
Eren Kurshan, Hongda Shen
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook. CoRR (2021)
Kervins Nicolas, Yi Wang, George C. Giakos, Bingyang Wei, Hongda Shen
Blockchain System Defensive Overview for Double-Spend and Selfish Mining Attacks: A Systematic Approach. IEEE Access 9 (2021)
Hongda Shen, Eren Kursun
Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection. CoRR (2021)
Eren Kurshan, Jiahao Chen, Victor Storchan, Hongda Shen
On the current and emerging challenges of developing fair and ethical AI solutions in financial services. ICAIF (2021)
Hongda Shen, Jiacheng Xie, Juanli Li, Xuewen Wang, Ning Cai
Collision Detection of Virtual Powered Support Groups Under Complex Floors. IEEE Trans. Instrum. Meas. 70 (2021)
Eren Kurshan, Hongda Shen, Jiahao Chen
Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial Services. CoRR (2020)
Eren Kurshan, Hongda Shen, Jiahao Chen
Towards self-regulating AI: challenges and opportunities of AI model governance in financial services. ICAIF (2020)
Hongda Shen, Eren Kurshan
Deep Q-network-based adaptive alert threshold selection policy for payment fraud systems in retail banking. ICAIF (2020)
Zhuocheng Jiang, W. David Pan, Hongda Shen
Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery. J. Imaging 6 (6) (2020)
Eren Kurshan, Hongda Shen
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook. Int. J. Semantic Comput. 14 (4) (2020)
Hongda Shen, Eren Kurshan
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking. CoRR (2020)
Hongda Shen, Zhuocheng Jiang, W. David Pan
Efficient Lossless Compression of Multitemporal Hyperspectral Image Data. J. Imaging 4 (12) (2018)
Zhuocheng Jiang, W. David Pan, Hongda Shen
Universal Golomb-Rice Coding Parameter Estimation Using Deep Belief Networks for Hyperspectral Image Compression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (10) (2018)
Zhuocheng Jiang, W. David Pan, Hongda Shen
LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images. WiSEE (2018)
Hongda Shen, W. David Pan, Dongsheng Wu
Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions. IEEE Trans. Geosci. Remote. Sens. 55 (1) (2017)
Hongda Shen, W. David Pan, Yuhang Dong, Zhuocheng Jiang
Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression. IGARSS (2017)
Yuhang Dong, Zhuocheng Jiang, Hongda Shen, W. David Pan, Lance A. Williams, Vishnu V. B. Reddy, William H. Benjamin, Allen W. Bryan
Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells. BHI (2017)
Hongda Shen, W. David Pan, Yuhang Dong, Mohammad Alim
Lossless compression of curated erythrocyte images using deep autoencoders for malaria infection diagnosis. PCS (2016)
Hongda Shen, W. David Pan
Predictive lossless compression of regions of interest in hyperspectral image via Maximum Correntropy Criterion based Least Mean Square learning. ICIP (2016)
Yuhang Dong, Hongda Shen, W. David Pan
An interactive tool for ROI extraction and compression on whole slide images. BHI (2016)
Peter C. Tay, Hongda Shen, Robert D. Adams, James Z. Zhang
A microcalcification enhancement method for mammogram images. ICIP (2013)
Peter C. Tay, Hongda Shen
A novel background subtraction method to detect microcalcifications. SSIAI (2012)