Yidong Chai
Orcid: 0000-0003-0260-7589
According to our database1,
Yidong Chai
authored at least 32 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Expert Syst. Appl., March, 2024
Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach.
Decis. Support Syst., February, 2024
CoRR, 2024
Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection.
CoRR, 2024
2023
Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression.
IEEE Trans. Knowl. Data Eng., December, 2023
Inf. Process. Manag., November, 2023
A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation.
ACM Trans. Manag. Inf. Syst., June, 2023
Why some products compete and others don't: A competitive attribution model from customer perspective.
Decis. Support Syst., June, 2023
Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
J. Manag. Inf. Syst., 2023
Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach.
Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023
2022
Linking Exploits from the Dark Web to Known Vulnerabilities for Proactive Cyber Threat Intelligence: An Attention-Based Deep Structured Semantic Model.
MIS Q., May, 2022
Cross-Lingual Cybersecurity Analytics in the International Dark Web with Adversarial Deep Representation Learning.
MIS Q., May, 2022
An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence.
IEEE Trans. Dependable Secur. Comput., 2022
Assessing and Enhancing Adversarial Robustness of Predictive Analytics: An Empirically Tested Design Framework.
J. Manag. Inf. Syst., 2022
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion.
Inf. Process. Manag., 2022
Identification of Key Features for VR Applications with VREVIEW: A Topic Model Approach.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
2021
Fall Detection with Wearable Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach.
J. Manag. Inf. Syst., 2021
Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model.
Inf. Process. Manag., 2021
Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics.
CoRR, 2021
Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature.
Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021
2020
A new convolutional neural network model for peripapillary atrophy area segmentation from retinal fundus images.
Appl. Soft Comput., 2020
Detecting Cyber Threats in Non-English Hacker Forums: An Adversarial Cross-Lingual Knowledge Transfer Approach.
Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020
2019
Proceedings of the 40th International Conference on Information Systems, 2019
2018
Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models.
Knowl. Based Syst., 2018
2017
Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017
Deep Learning Through Two-Branch Convolutional Neuron Network for Glaucoma Diagnosis.
Proceedings of the Smart Health - International Conference, 2017