Yidong Chai

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 38

Top Topics

Convolutional Neural Network

Medical Image Annotation

Top Venues

J. Manag. Inf. Syst.

Inf. Process. Manag.

Decis. Support Syst.

Publications

Haoxin Liu, Wenli Zhang, Jiaheng Xie, Buomsoo Kim, Zhu Zhang, Yidong Chai
Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection. CoRR (2024)
Erkang Jing, Yezheng Liu, Yidong Chai, Shuo Yu, Longshun Liu, Yuanchun Jiang, Yang Wang
Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. CoRR (2024)
Yidong Chai, Yi Liu, Weifeng Li, Bin Zhu, Hongyan Liu, Yuanchun Jiang
An interpretable wide and deep model for online disinformation detection. Expert Syst. Appl. 237 (Part B) (2024)
Fulai Cui, Shuo Yu, Yidong Chai, Yang Qian, Yuanchun Jiang, Yezheng Liu, Xiao Liu, Jianxin Li
A Bayesian deep recommender system for uncertainty-aware online physician recommendation. Inf. Manag. 61 (7) (2024)
YingQiu Xiong, Yezheng Liu, Yang Qian, Yuanchun Jiang, Yidong Chai, Haifeng Ling
Review-based recommendation under preference uncertainty: An asymmetric deep learning framework. Eur. J. Oper. Res. 316 (3) (2024)
Jiaheng Xie, Ruicheng Liang, Yidong Chai, Yang Liu
Short-Form Videos and Mental Health: A Knowledge-Guided Multimodal Neural Topic Model. CoRR (2024)
Fan Zhou, Yuanchun Jiang, Yang Qian, Yezheng Liu, Yidong Chai
Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach. Decis. Support Syst. 177 (2024)
Shuo Yu, Yidong Chai, Sagar Samtani, Hongyan Liu, Hsinchun Chen
Motion Sensor-Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach. Inf. Syst. Res. 35 (1) (2024)
Anqi Zhou, Yezheng Liu, Yidong Chai, Hongyi Zhu, Xinyue Ge, Yuanchun Jiang, Meng Wang
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning. CoRR (2024)
Yidong Chai, Ruicheng Liang, Sagar Samtani, Hongyi Zhu, Meng Wang, Ye-Zheng Liu, Yuanchun Jiang
Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang, Hsinchun Chen
Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Ruicheng Liang, Yidong Chai, Weifeng Li, Michael Chau, Yuanchun Jiang, Yezheng Liu
Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach. PACIS (2023)
Yidong Chai, Hongyan Liu, Jie Xu, Sagar Samtani, Yuanchun Jiang, Haoxin Liu
A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation. ACM Trans. Manag. Inf. Syst. 14 (2) (2023)
Yang Qian, Yuanchun Jiang, Jennifer Shang, Yidong Chai, Ye-Zheng Liu
Why some products compete and others don't: A competitive attribution model from customer perspective. Decis. Support Syst. 169 (2023)
Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen, Jay F. Nunamaker Jr.
Deep Learning for Information Systems Research. J. Manag. Inf. Syst. 40 (1) (2023)
Jiaheng Xie, Yidong Chai, Xiao Liu
Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning. J. Manag. Inf. Syst. 40 (2) (2023)
Erkang Jing, Yezheng Liu, Yidong Chai, Jianshan Sun, Sagar Samtani, Yuanchun Jiang, Yang Qian
A deep interpretable representation learning method for speech emotion recognition. Inf. Process. Manag. 60 (6) (2023)
Yidong Chai, Yonghang Zhou, Weifeng Li, Yuanchun Jiang
An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence. IEEE Trans. Dependable Secur. Comput. 19 (2) (2022)
Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang, Hsinchun Chen
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. CoRR (2022)
Jiaheng Xie, Yidong Chai, Xiao Liu
An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube. HICSS (2022)
Weifeng Li, Yidong Chai
Assessing and Enhancing Adversarial Robustness of Predictive Analytics: An Empirically Tested Design Framework. J. Manag. Inf. Syst. 39 (2) (2022)
Yang Qian, Wang Xu, Xiao Liu, Haifeng Ling, Yuanchun Jiang, Yidong Chai, Ye-Zheng Liu
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion. Inf. Process. Manag. 59 (4) (2022)
Mohammadreza Ebrahimi, Yidong Chai, Sagar Samtani, Hsinchun Chen
Cross-Lingual Cybersecurity Analytics in the International Dark Web with Adversarial Deep Representation Learning. MIS Q. 46 (2) (2022)
Yang Qian, YingQiu Xiong, Yuyang Wang, Yuanchun Jiang, Yezheng Liu, Yidong Chai
Identification of Key Features for VR Applications with VREVIEW: A Topic Model Approach. VR Workshops (2022)
Sagar Samtani, Yidong Chai, Hsinchun Chen
Linking Exploits from the Dark Web to Known Vulnerabilities for Proactive Cyber Threat Intelligence: An Attention-Based Deep Structured Semantic Model. MIS Q. 46 (2) (2022)
MohammadReza Ebrahimi, Weifeng Li, Yidong Chai, Jason Pacheco, Hsinchun Chen
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection. ICDM (Workshops) (2022)
Jiaheng Xie, Yidong Chai, Xiao Liu
Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics. CoRR (2021)
Shuo Yu, Yidong Chai, Hsinchun Chen, Randall A. Brown, Scott J. Sherman, Jay F. Nunamaker Jr.
Fall Detection with Wearable Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach. J. Manag. Inf. Syst. 38 (4) (2021)
Yidong Chai, Yiyang Bian, Hongyan Liu, Jiaxing Li, Jie Xu
Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model. Inf. Process. Manag. 58 (2) (2021)
Ye-Zheng Liu, Jicheng Wang, Yang Qian, Yuanchun Jiang, Jianshan Sun, Yidong Chai
Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature. DSC (2021)
Mohammadreza Ebrahimi, Sagar Samtani, Yidong Chai, Hsinchun Chen
Detecting Cyber Threats in Non-English Hacker Forums: An Adversarial Cross-Lingual Knowledge Transfer Approach. SP Workshops (2020)
Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen
Deep Learning for Information Systems Research. CoRR (2020)
Yidong Chai, Hongyan Liu, Jie Xu
A new convolutional neural network model for peripapillary atrophy area segmentation from retinal fundus images. Appl. Soft Comput. 86 (2020)
Yang Qian, Yuanchun Jiang, Yidong Chai, Yezheng Liu, Jianshan Sun
TopicModel4J: A Java Package for Topic Models. CoRR (2020)
Yidong Chai, Weifeng Li
Towards Deep Learning Interpretability: A Topic Modeling Approach. ICIS (2019)
Yidong Chai, Hongyan Liu, Jie Xu
Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models. Knowl. Based Syst. 161 (2018)
Yidong Chai, Hongyan Liu, Li Zhang
Extracting Visual Words from Images for Effective Medical Image Analysis. PACIS (2017)
Yidong Chai, Luo He, Qiuyan Mei, Hongyan Liu, Liang Xu
Deep Learning Through Two-Branch Convolutional Neuron Network for Glaucoma Diagnosis. ICSH (2017)