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Hongda Shen
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2020 – today
- 2025
- [j8]Jian Zhang, Huanxiong Xia, Jianhua Liu, Hongda Shen, Juncheng Luo, Xuerui Zhang:
.A multi-objective search-based approach for position and orientation deviations in assemblies with multiple non-ideal surfaces. Adv. Eng. Softw. 199: 103820 (2025) - 2024
- [c12]Hongda Shen, Eren Kurshan:
Generational Knowledge Transfer for Model Robustness & Agility: Label Augmentation for Time-Sensitive Financial Services Applications. ICAIF 2024: 10-18 - 2023
- [i6]Hongda Shen, Eren Kurshan:
Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications. CoRR abs/2312.16799 (2023) - 2021
- [j7]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: 3838-3857 (2021) - [j6]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: 1-13 (2021) - [c11]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: 43:1-43:8 - [i5]Hongda Shen, Eren Kursun:
Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection. CoRR abs/2101.01689 (2021) - [i4]Eren Kurshan, Hongda Shen:
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook. CoRR abs/2103.03227 (2021) - [i3]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 abs/2111.01306 (2021) - 2020
- [j5]Eren Kurshan, Hongda Shen:
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook. Int. J. Semantic Comput. 14(4): 565-589 (2020) - [j4]Zhuocheng Jiang, W. David Pan, Hongda Shen:
Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery. J. Imaging 6(6): 38 (2020) - [c10]Hongda Shen, Eren Kurshan:
Deep Q-network-based adaptive alert threshold selection policy for payment fraud systems in retail banking. ICAIF 2020: 24:1-24:7 - [c9]Eren Kurshan, Hongda Shen, Jiahao Chen:
Towards self-regulating AI: challenges and opportunities of AI model governance in financial services. ICAIF 2020: 49:1-49:8 - [i2]Eren Kurshan, Hongda Shen, Jiahao Chen:
Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial Services. CoRR abs/2010.04827 (2020) - [i1]Hongda Shen, Eren Kurshan:
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking. CoRR abs/2010.11062 (2020)
2010 – 2019
- 2018
- [j3]Hongda Shen, Zhuocheng Jiang, W. David Pan:
Efficient Lossless Compression of Multitemporal Hyperspectral Image Data. J. Imaging 4(12): 142 (2018) - [j2]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): 3830-3840 (2018) - [c8]Zhuocheng Jiang, W. David Pan, Hongda Shen:
LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images. WiSEE 2018: 158-162 - 2017
- [j1]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): 173-182 (2017) - [c7]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: 101-104 - [c6]Hongda Shen, W. David Pan, Yuhang Dong, Zhuocheng Jiang:
Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression. IGARSS 2017: 2239-2242 - 2016
- [c5]Yuhang Dong, Hongda Shen, W. David Pan:
An interactive tool for ROI extraction and compression on whole slide images. BHI 2016: 224-227 - [c4]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: 2182-2186 - [c3]Hongda Shen, W. David Pan, Yuhang Dong, Mohammad Alim:
Lossless compression of curated erythrocyte images using deep autoencoders for malaria infection diagnosis. PCS 2016: 1-5 - 2013
- [c2]Peter C. Tay, Hongda Shen, Robert D. Adams, James Z. Zhang:
A microcalcification enhancement method for mammogram images. ICIP 2013: 1232-1236 - 2012
- [c1]Peter C. Tay, Hongda Shen:
A novel background subtraction method to detect microcalcifications. SSIAI 2012: 141-144
Coauthor Index
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