- Xu, Jie; Jing, Erkang; Chai, Yidong / A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis. December 2025; In: BMC Medical Informatics and Decision Making. Vol. 25, No. 1
- Ebrahimi, Reza; Chai, Yidong; Li, Weifeng; Pacheco, Jason; Chen, Hsinchun / RADAR: A Framework for Developing Adversarially Robust Cyber Defense AI Agents with Deep Reinforcement Learning. December 2025; In: MIS Quarterly. Vol. 49, No. 4, pp. 1385-1416
- Zhao, Luyue; Ding, Shuai; Chai, Yidong; Xie, Jiaheng; Fang, Xiao; Yang, Shanlin / Responsible AI-Enabled Infodemic Management: A Hypergraph-Based Infodemic Topic Prediction Framework. September 2025; In: INFORMS Journal on Computing.
- JING, ERKANG; LIU, YEZHENG; CHAI, YIDONG; YU, SHUO; LIU, LONGSHUN; JIANG, YUANCHUN; WANG, YANG / Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. July 2025; In: ACM Transactions on Information Systems. Vol. 43, No. 5
- Xie, Jiaheng; Chai, Yidong; Liang, Ruicheng; Liu, Yang; Zeng, Daniel Dajun / Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model. June 2025; In: Information Systems Research.
- Cui, Fulai; Yu, Shuo; Chai, Yidong; Qian, Yang; Jiang, Yuanchun; Liu, Yezheng; Liu, Xiao; Li, Jianxin / A Bayesian deep recommender system for uncertainty-aware online physician recommendation. November 2024; In: Information & Management. Vol. 61, No. 7
- Chai, Yidong; Liu, Haoxin; Zhu, Hongyi; Pan, Yue; Zhou, Anqi; Liu, Hongyan; Liu, Jianwei; Qian, Yang / A profile similarity-based personalized federated learning method for wearable sensor-based human activity recognition. November 2024; In: Information & Management. Vol. 61, No. 7
- Xiong, Yingqiu; Liu, Yezheng; Qian, Yang; Jiang, Yuanchun; Chai, Yidong; Ling, Haifeng / Review-based recommendation under preference uncertainty: An asymmetric deep learning framework. August 2024; In: European Journal of Operational Research. Vol. 316, No. 3, pp. 1044-1057
- Qian, Yang; Ling, Haifeng; Meng, Xiangrui; Jiang, Yuanchun; Chai, Yidong; Liu, Yezheng / Voice of the Professional: Acquiring competitive intelligence from large-scale professional generated contents. July 2024; In: Journal of Business Research. Vol. 180
- Chai, Yidong; Liu, Yi; Li, Weifeng; Zhu, Bin; Liu, Hongyan; Jiang, Yuanchun / An interpretable wide and deep model for online disinformation detection. March 2024; In: Expert Systems with Applications. Vol. 237, No. Part B
- Yu, Shuo; Chai, Yidong; Samtani, Sagar; Liu, Hongyan; Chen, Hsinchun / Motion Sensor–Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach. March 2024; In: Information Systems Research. Vol. 35, No. 1, pp. 1-15
- Gu, Dongxiao; Wang, Qin; Chai, Yidong; Yang, Xuejie; Zhao, Wang; Li, Min; Zolotarev, Oleg; Xu, Zhengfei; Zhang, Gongrang / Identifying the Risk Factors of Allergic Rhinitis Based on Zhihu Comment Data Using a Topic-Enhanced Word-Embedding Model: Mixed Method Study and Cluster Analysis. February 2024; In: Journal of Medical Internet Research. Vol. 26
- Zhou, Fan; Jiang, Yuanchun; Qian, Yang; Liu, Yezheng; Chai, Yidong / Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach. February 2024; In: Decision Support Systems. Vol. 177
- Chai, Yidong; Liang, Ruicheng; Samtani, Sagar; Zhu, Hongyi; Wang, Meng; Liu, Yezheng; Jiang, Yuanchun / Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression. December 2023; In: IEEE Transactions on Knowledge and Data Engineering. Vol. 35, No. 12, pp. 12400-12414
- Jing, Erkang; Liu, Yezheng; Chai, Yidong; Sun, Jianshan; Samtani, Sagar; Jiang, Yuanchun; Qian, Yang / A deep interpretable representation learning method for speech emotion recognition. November 2023; In: Information Processing and Management. Vol. 60, No. 6
- Xie, Jiaheng; Chai, Yidong; Liu, Xiao / Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning. June 2023; In: Journal of Management Information Systems. Vol. 40, No. 2, pp. 541-579
- CHAI, Yidong; LIU, Hongyan; XU, Jie; SAMTANI, Sagar; JIANG, Yuanchun; LIU, Haoxin / A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation. June 2023; In: ACM Transactions on Management Information Systems. Vol. 14, No. 2
- Qian, Yang; Jiang, Yuanchun; Shang, Jennifer; Chai, Yidong; Liu, Yezheng / Why some products compete and others don't: A competitive attribution model from customer perspective. June 2023; In: Decision Support Systems. Vol. 169
- Ebrahimi, Mohammadreza; Chai, Yidong; Zhang, Hao Helen; Chen, Hsinchun / Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. February 2023; In: IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 45, No. 2, pp. 1862-1875
- Samtani, Sagar; Zhu, Hongyi; Padmanabhan, Balaji; Chai, Yidong; Chen, Hsinchun; Nunamaker Jr., Jay F. / Deep Learning for Information Systems Research. January 2023; In: Journal of Management Information Systems. Vol. 40, No. 1, pp. 271-301
- Yu, Shuo; Chai, Yidong; Chen, Hsinchun; Sherman, Scott J.; Brown, Randall A. / WEARABLE SENSOR-BASED CHRONIC CONDITION SEVERITY ASSESSMENT: AN ADVERSARIAL ATTENTION-BASED DEEP MULTISOURCE MULTITASK LEARNING APPROACH. September 2022; In: MIS Quarterly. Vol. 45, No. 3, pp. 1355-1394
- Qian, Yang; Xu, Wang; Liu, Xiao; Ling, Haifeng; Jiang, Yuanchun; Chai, Yidong; Liu, Yezheng / Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion. July 2022; In: Information Processing and Management. Vol. 59, No. 4
- Li, Weifeng; Chai, Yidong / Assessing and Enhancing Adversarial Robustness of Predictive Analytics: An Empirically Tested Design Framework. June 2022; In: Journal of Management Information Systems. Vol. 39, No. 2, pp. 542-572
- Ebrahimi, Mohammadreza; Chai, Yidong; Samtani, Sagar; Chen, Hsinchun / CROSS-LINGUAL CYBERSECURITY ANALYTICS IN THE INTERNATIONAL DARK WEB WITH ADVERSARIAL DEEP REPRESENTATION LEARNING. June 2022; In: MIS Quarterly. Vol. 46, No. 2, pp. 1209-1226
- Samtani, Sagar; Chai, Yidong; Chen, Hsinchun / Linking Exploits from the Dark Web to Known Vulnerabilities for Proactive Cyber Threat Intelligence : An Attention-based Deep Structured Semantic Model. June 2022; In: MIS Quarterly. Vol. 46, No. 2, pp. 911-946
- Chai, Yidong; Zhou, Yonghang; Li, Weifeng; Jiang, Yuanchun / An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence. March 2022; In: IEEE Transactions on Dependable and Secure Computing. Vol. 19, No. 2, pp. 790-803
- Chai, Yidong; Bian, Yiyang; Liu, Hongyan; Li, Jiaxing; Xu, Jie / Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model. March 2021; In: Information Processing and Management. Vol. 58, No. 2
- Yu, Shuo; Chai, Yidong; Chen, Hsinchun; Brown, Randall A.; Sherman, Scott J.; Nunamaker Jr., Jay F. / Fall Detection with Motion Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach. 2021; In: Journal of Management Information Systems. Vol. 38, No. 4, pp. 1095-1121
- Chai, Yidong; Liu, Hongyan; Xu, Jie / A new convolutional neural network model for peripapillary atrophy area segmentation from retinal fundus images. January 2020; In: Applied Soft Computing Journal. Vol. 86
- Chai, Yidong; Liu, Hongyan; Xu, Jie / Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models. December 2018; In: Knowledge-Based Systems. Vol. 161, pp. 147-156
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