Hongda Shen

32 papers A* 1B 2C 2Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
.A multi-objective search-based approach for position and orientation deviations in assemblies with multiple non-ideal surfaces.
Adv. Eng. Softw.
Jian Zhang, Huanxiong Xia, Jianhua Liu, Hongda Shen, Juncheng Luo, Xuerui Zhang
2025 A* conf
Hypergraph-based Zero-shot Multi-modal Product Attribute Value Extraction.
WWW
Jiazhen Hu, Jiaying Gong, Hongda Shen, Hoda Eldardiry
2025 — conf
MICE: Mixture of Image Captioning Experts Augmented e-Commerce Product Attribute Value Extraction.
ACL (6)
Jiaying Gong, Hongda Shen, Janet Jenq
2025 J jnl
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction.
CoRR
Jinfeng Zhuang, Yinrui Li, Runze Su, Ke Xu, Zhixuan Shao, Kungang Li, Ling Leng, Han Sun, Meng Qi, Yixiong Meng, Yang Tang, Zhifang Liu, Qifei Shen, Aayush Mudgal, Caleb Lu, Jie Liu, Hongda Shen
2025 J jnl
Turning Adversaries into Allies: Reversing Typographic Attacks for Multimodal E-Commerce Product Retrieval.
CoRR
Janet Jenq, Hongda Shen
2025 — conf
Visual Zero-Shot E-Commerce Product Attribute Value Extraction.
NAACL (Industry Track)
Jiaying Gong, Ming Cheng, Hongda Shen, Pierre-Yves Vandenbussche, Janet Jenq, Hoda Eldardiry
2025 J jnl
Visual Zero-Shot E-Commerce Product Attribute Value Extraction.
CoRR
Jiaying Gong, Ming Cheng, Hongda Shen, Pierre-Yves Vandenbussche, Janet Jenq, Hoda Eldardiry
2024 — conf
Generational Knowledge Transfer for Model Robustness & Agility: Label Augmentation for Time-Sensitive Financial Services Applications.
ICAIF
Hongda Shen, Eren Kurshan
2023 J jnl
Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications.
CoRR
Hongda Shen, Eren Kurshan
2021 J jnl
Blockchain System Defensive Overview for Double-Spend and Selfish Mining Attacks: A Systematic Approach.
IEEE Access
Kervins Nicolas, Yi Wang, George C. Giakos, Bingyang Wei, Hongda Shen
2021 J jnl
Collision Detection of Virtual Powered Support Groups Under Complex Floors.
IEEE Trans. Instrum. Meas.
Hongda Shen, Jiacheng Xie, Juanli Li, Xuewen Wang, Ning Cai
2021 J jnl
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook.
CoRR
Eren Kurshan, Hongda Shen
2021 J jnl
Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection.
CoRR
Hongda Shen, Eren Kursun
2021 J jnl
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services.
CoRR
Eren Kurshan, Jiahao Chen, Victor Storchan, Hongda Shen
2021 — conf
On the current and emerging challenges of developing fair and ethical AI solutions in financial services.
ICAIF
Eren Kurshan, Jiahao Chen, Victor Storchan, Hongda Shen
2020 J jnl
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking.
CoRR
Hongda Shen, Eren Kurshan
2020 — conf
Deep Q-network-based adaptive alert threshold selection policy for payment fraud systems in retail banking.
ICAIF
Hongda Shen, Eren Kurshan
2020 J jnl
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook.
Int. J. Semantic Comput.
Eren Kurshan, Hongda Shen
2020 J jnl
Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery.
J. Imaging
Zhuocheng Jiang, W. David Pan, Hongda Shen
2020 J jnl
Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial Services.
CoRR
Eren Kurshan, Hongda Shen, Jiahao Chen
2020 — conf
Towards self-regulating AI: challenges and opportunities of AI model governance in financial services.
ICAIF
Eren Kurshan, Hongda Shen, Jiahao Chen
2018 J jnl
Efficient Lossless Compression of Multitemporal Hyperspectral Image Data.
J. Imaging
Hongda Shen, Zhuocheng Jiang, W. David Pan
2018 — conf
LSTM Based Adaptive Filtering for Reduced Prediction Errors of Hyperspectral Images.
WiSEE
Zhuocheng Jiang, W. David Pan, Hongda Shen
2018 J jnl
Universal Golomb-Rice Coding Parameter Estimation Using Deep Belief Networks for Hyperspectral Image Compression.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zhuocheng Jiang, W. David Pan, Hongda Shen
2017 — conf
Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells.
BHI
Yuhang Dong, Zhuocheng Jiang, Hongda Shen, W. David Pan, Lance A. Williams, Vishnu V. B. Reddy, William H. Benjamin, Allen W. Bryan
2017 C conf
Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression.
IGARSS
Hongda Shen, W. David Pan, Yuhang Dong, Zhuocheng Jiang
2017 J jnl
Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions.
IEEE Trans. Geosci. Remote. Sens.
Hongda Shen, W. David Pan, Dongsheng Wu
2016 — conf
An interactive tool for ROI extraction and compression on whole slide images.
BHI
Yuhang Dong, Hongda Shen, W. David Pan
2016 C conf
Lossless compression of curated erythrocyte images using deep autoencoders for malaria infection diagnosis.
PCS
Hongda Shen, W. David Pan, Yuhang Dong, Mohammad Alim
2016 B conf
Predictive lossless compression of regions of interest in hyperspectral image via Maximum Correntropy Criterion based Least Mean Square learning.
ICIP
Hongda Shen, W. David Pan
2013 B conf
A microcalcification enhancement method for mammogram images.
ICIP
Peter C. Tay, Hongda Shen, Robert D. Adams, James Z. Zhang
2012 — conf
A novel background subtraction method to detect microcalcifications.
SSIAI
Peter C. Tay, Hongda Shen