Deep Learning Through Two-Branch Convolutional Neuron Network for Glaucoma Diagnosis. - Yidong Chai; Luo He; Qiuyan Mei; Hongyan Liu 002; Liang Xu (ICSH, 2017)

Extracting Visual Words from Images for Effective Medical Image Analysis. - Yidong Chai; Hongyan Liu 002; Li Zhang (PACIS, 2017)

Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models. - Yidong Chai; Hongyan Liu 002; Jie Xu 010 (Knowl. Based Syst., 2018)

Towards Deep Learning Interpretability: A Topic Modeling Approach. - Yidong Chai; Weifeng Li 002 (ICIS, 2019)

Detecting Cyber Threats in Non-English Hacker Forums: An Adversarial Cross-Lingual Knowledge Transfer Approach. - Mohammadreza Ebrahimi 001; Sagar Samtani; Yidong Chai; Hsinchun Chen (SP (Workshops), 2020)

A new convolutional neural network model for peripapillary atrophy area segmentation from retinal fundus images. - Yidong Chai; Hongyan Liu 002; Jie Xu 010 (Appl. Soft Comput., 2020)

Deep Learning for Information Systems Research. - Sagar Samtani; Hongyi Zhu; Balaji Padmanabhan; Yidong Chai; Hsinchun Chen (CoRR, 2020)

TopicModel4J: A Java Package for Topic Models. - Yang Qian 001; Yuanchun Jiang; Yidong Chai; Yezheng Liu 001; Jianshan Sun (CoRR, 2020)

Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature. - Ye-Zheng Liu 001; Jicheng Wang; Yang Qian 001; Yuanchun Jiang; Jianshan Sun; Yidong Chai (DSC, 2021)

Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics. - Jiaheng Xie; Yidong Chai; Xiao Liu 016 (CoRR, 2021)

Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model. - Yidong Chai; Yiyang Bian; Hongyan Liu 002; Jiaxing Li; Jie Xu 010 (Inf. Process. Manag., 2021)

Fall Detection with Wearable Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach. - Shuo Yu 002; Yidong Chai; Hsinchun Chen; Randall A. Brown; Scott J. Sherman; Jay F. Nunamaker Jr. (J. Manag. Inf. Syst., 2021)

An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube. - Jiaheng Xie; Yidong Chai; Xiao Liu 016 (HICSS, 2022)

An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection. - Mohammadreza Ebrahimi 001; Weifeng Li 002; Yidong Chai; Jason Pacheco; Hsinchun Chen (ICDM (Workshops), 2022)

Identification of Key Features for VR Applications with VREVIEW: A Topic Model Approach. - Yang Qian 001; YingQiu Xiong; Yuyang Wang 002; Yuanchun Jiang; Yezheng Liu 001; Yidong Chai (VR Workshops, 2022)

Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion. - Yang Qian 001; Wang Xu; Xiao Liu 004; Haifeng Ling; Yuanchun Jiang; Yidong Chai; Ye-Zheng Liu 001 (Inf. Process. Manag., 2022)

Assessing and Enhancing Adversarial Robustness of Predictive Analytics: An Empirically Tested Design Framework. - Weifeng Li 002; Yidong Chai (J. Manag. Inf. Syst., 2022)

An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence. - Yidong Chai; Yonghang Zhou; Weifeng Li 002; Yuanchun Jiang (IEEE Trans. Dependable Secur. Comput., 2022)

Cross-Lingual Cybersecurity Analytics in the International Dark Web with Adversarial Deep Representation Learning. - Mohammadreza Ebrahimi 001; Yidong Chai; Sagar Samtani; Hsinchun Chen (MIS Q., 2022)

Linking Exploits from the Dark Web to Known Vulnerabilities for Proactive Cyber Threat Intelligence: An Attention-Based Deep Structured Semantic Model. - Sagar Samtani; Yidong Chai; Hsinchun Chen (MIS Q., 2022)

Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach. - Ruicheng Liang; Yidong Chai; Weifeng Li 002; Michael Chau; Yuanchun Jiang; Yezheng Liu 001 (PACIS, 2023)

Deep Learning for Information Systems Research. - Sagar Samtani; Hongyi Zhu; Balaji Padmanabhan; Yidong Chai; Hsinchun Chen; Jay F. Nunamaker Jr. (J. Manag. Inf. Syst., 2023)

Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning. - Jiaheng Xie; Yidong Chai; Xiao Liu 016 (J. Manag. Inf. Syst., 2023)

Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. - Mohammadreza Ebrahimi 001; Yidong Chai; Hao Helen Zhang; Hsinchun Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Why some products compete and others don't: A competitive attribution model from customer perspective. - Yang Qian 001; Yuanchun Jiang; Jennifer Shang; Yidong Chai; Ye-Zheng Liu 001 (Decis. Support Syst., 2023)

A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation. - Yidong Chai; Hongyan Liu 002; Jie Xu 010; Sagar Samtani; Yuanchun Jiang; Haoxin Liu 003 (ACM Trans. Manag. Inf. Syst., 2023)

A deep interpretable representation learning method for speech emotion recognition. - Erkang Jing; Yezheng Liu 001; Yidong Chai; Jianshan Sun; Sagar Samtani; Yuanchun Jiang; Yang Qian 001 (Inf. Process. Manag., 2023)

Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression. - Yidong Chai; Ruicheng Liang; Sagar Samtani; Hongyi Zhu; Meng Wang 001; Ye-Zheng Liu 001; Yuanchun Jiang (IEEE Trans. Knowl. Data Eng., 2023)

Enhancing Adversarial Robustness: A Novel Bayesian Uncertainty-Based Ensemble Learning Method. - Yidong Chai; Yi Liu; Mohammadreza Ebrahimi 001; Weifeng Li 002; Balaji Padmanabhan; Yuanchun Jiang; Yezheng Liu 001 (DSC, 2024)

Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection. - Haoxin Liu 003; Wenli Zhang; Jiaheng Xie; Buomsoo Kim; Zhu Zhang; Yidong Chai (CoRR, 2024)

Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model. - Jiaheng Xie; Ruicheng Liang; Yidong Chai; Yang Liu; Daniel Zeng 001 (CoRR, 2024)

Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. - Erkang Jing; Yezheng Liu 001; Yidong Chai; Shuo Yu 002; Longshun Liu; Yuanchun Jiang; Yang Wang 023 (CoRR, 2024)

A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning. - Anqi Zhou; Yezheng Liu 001; Yidong Chai; Hongyi Zhu; Xinyue Ge; Yuanchun Jiang; Meng Wang 001 (CoRR, 2024)

Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model. - Yonghang Zhou; Hongyi Zhu; Yidong Chai; Yuanchun Jiang; Yezheng Liu 001 (CoRR, 2024)

From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models. - Yuncong Yang; Xiao Han; Yidong Chai; Reza Ebrahimi 001; Rouzbeh Behnia; Balaji Padmanabhan (CoRR, 2024)

Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method. - Yidong Chai; Kangwei Shi; Jiaheng Xie; Chunli Liu; Yuanchun Jiang; Ye-Zheng Liu 001 (CoRR, 2024)

Review-based recommendation under preference uncertainty: An asymmetric deep learning framework. - YingQiu Xiong; Yezheng Liu 001; Yang Qian 001; Yuanchun Jiang; Yidong Chai; Haifeng Ling (Eur. J. Oper. Res., 2024)

A profile similarity-based personalized federated learning method for wearable sensor-based human activity recognition. - Yidong Chai; Haoxin Liu 003; Hongyi Zhu; Yue Pan; Anqi Zhou; Hongyan Liu 002; Jianwei Liu; Yang Qian 001 (Inf. Manag., 2024)

A Bayesian deep recommender system for uncertainty-aware online physician recommendation. - Fulai Cui; Shuo Yu 002; Yidong Chai; Yang Qian 001; Yuanchun Jiang; Yezheng Liu 001; Xiao Liu 004; Jianxin Li (Inf. Manag., 2024)

Motion Sensor-Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach. - Shuo Yu 002; Yidong Chai; Sagar Samtani; Hongyan Liu 002; Hsinchun Chen (Inf. Syst. Res., 2024)

Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach. - Fan Zhou; Yuanchun Jiang; Yang Qian 001; Yezheng Liu 001; Yidong Chai (Decis. Support Syst., 2024)

An interpretable wide and deep model for online disinformation detection. - Yidong Chai; Yi Liu; Weifeng Li 002; Bin Zhu; Hongyan Liu 002; Yuanchun Jiang (Expert Syst. Appl., 2024)

AI Chatbots as Professional Service Agents: Developing a Professional Identity. - Wenwen Li; Kangwei Shi; Yidong Chai (CoRR, 2025)

A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models. - Yidong Chai; Yang Liu; Yonghang Zhou; Jiaheng Xie; Daniel Dajun Zeng (CoRR, 2025)

Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. - Erkang Jing; Yezheng Liu 001; Yidong Chai; Shuo Yu 002; Longshun Liu; Yuanchun Jiang; Yang Wang 023 (ACM Trans. Inf. Syst., 2025)

A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis. - Jie Xu 010; Erkang Jing; Yidong Chai (BMC Medical Informatics Decis. Mak., 2025)