A novel background subtraction method to detect microcalcifications. - Peter C. Tay; Hongda Shen (SSIAI, 2012)

A microcalcification enhancement method for mammogram images. - Peter C. Tay; Hongda Shen; Robert D. Adams; James Z. Zhang (ICIP, 2013)

An interactive tool for ROI extraction and compression on whole slide images. - Yuhang Dong; Hongda Shen; W. David Pan (BHI, 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 (ICIP, 2016)

Lossless compression of curated erythrocyte images using deep autoencoders for malaria infection diagnosis. - Hongda Shen; W. David Pan; Yuhang Dong; Mohammad Alim (PCS, 2016)

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 (BHI, 2017)

Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression. - Hongda Shen; W. David Pan; Yuhang Dong; Zhuocheng Jiang (IGARSS, 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)

LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images. - Zhuocheng Jiang; W. David Pan; Hongda Shen (WiSEE, 2018)

Efficient Lossless Compression of Multitemporal Hyperspectral Image Data. - Hongda Shen; Zhuocheng Jiang; W. David Pan (J. Imaging, 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)

Towards self-regulating AI: challenges and opportunities of AI model governance in financial services. - Eren Kurshan; Hongda Shen; Jiahao Chen 001 (ICAIF, 2020)

Deep Q-network-based adaptive alert threshold selection policy for payment fraud systems in retail banking. - Hongda Shen; Eren Kurshan (ICAIF, 2020)

Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook. - Eren Kurshan; Hongda Shen (Int. J. Semantic Comput., 2020)

Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery. - Zhuocheng Jiang; W. David Pan; Hongda Shen (J. Imaging, 2020)

On the current and emerging challenges of developing fair and ethical AI solutions in financial services. - Eren Kurshan; Jiahao Chen 001; Victor Storchan; Hongda Shen (ICAIF, 2021)

Blockchain System Defensive Overview for Double-Spend and Selfish Mining Attacks: A Systematic Approach. - Kervins Nicolas; Yi Wang 030; George C. Giakos; Bingyang Wei; Hongda Shen (IEEE Access, 2021)

Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection. - Hongda Shen; Eren Kursun (CoRR, 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)

Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications. - Hongda Shen; Eren Kurshan (CoRR, 2023)

Generational Knowledge Transfer for Model Robustness & Agility: Label Augmentation for Time-Sensitive Financial Services Applications. - Hongda Shen; Eren Kurshan (ICAIF, 2024)

Visual Zero-Shot E-Commerce Product Attribute Value Extraction. - Jiaying Gong; Ming Cheng; Hongda Shen; Pierre-Yves Vandenbussche; Janet Jenq; Hoda Eldardiry (NAACL (Industry Track), 2025)

Hypergraph-based Zero-shot Multi-modal Product Attribute Value Extraction. - Jiazhen Hu; Jiaying Gong; Hongda Shen; Hoda Eldardiry (WWW, 2025)

.A multi-objective search-based approach for position and orientation deviations in assemblies with multiple non-ideal surfaces. - Jian Zhang; Huanxiong Xia; Jianhua Liu; Hongda Shen; Juncheng Luo; Xuerui Zhang (Adv. Eng. Softw., 2025)

On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction. - Jinfeng Zhuang; Yinrui Li; Runze Su; Ke Xu; Zhixuan Shao; Kungang Li; Ling Leng; Han Sun; Meng Qi; Yixiong Meng; Yang Tang; Zhifang Liu; et al. (CoRR, 2025)