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Yidong Chai
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2020 – today
- 2024
- [j22]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: 114088 (2024) - [j21]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): 1044-1057 (2024) - [j20]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): 121588 (2024) - [j19]Yidong Chai, Haoxin Liu, Hongyi Zhu, Yue Pan, Anqi Zhou, Hongyan Liu, Jianwei Liu, Yang Qian:
A profile similarity-based personalized federated learning method for wearable sensor-based human activity recognition. Inf. Manag. 61(7): 103922 (2024) - [j18]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): 104027 (2024) - [j17]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): 1-15 (2024) - [i9]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 abs/2401.12988 (2024) - [i8]Jiaheng Xie, Ruicheng Liang, Yidong Chai, Yang Liu, Daniel Zeng:
Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model. CoRR abs/2402.10045 (2024) - [i7]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 abs/2406.14090 (2024) - [i6]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 abs/2407.00719 (2024) - [i5]Yonghang Zhou, Hongyi Zhu, Yidong Chai, Yuanchun Jiang, Yezheng Liu:
Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model. CoRR abs/2410.07725 (2024) - 2023
- [j16]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: 113956 (2023) - [j15]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): 103501 (2023) - [j14]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): 271-301 (2023) - [j13]Jiaheng Xie, Yidong Chai, Xiao Liu:
Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning. J. Manag. Inf. Syst. 40(2): 541-579 (2023) - [j12]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): 1862-1875 (2023) - [j11]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): 12400-12414 (2023) - [j10]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): 19:1-19:21 (2023) - [c9]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: 211 - 2022
- [j9]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): 102984 (2022) - [j8]Weifeng Li, Yidong Chai:
Assessing and Enhancing Adversarial Robustness of Predictive Analytics: An Empirically Tested Design Framework. J. Manag. Inf. Syst. 39(2): 542-572 (2022) - [j7]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): 911-946 (2022) - [j6]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): 1209-1226 (2022) - [j5]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): 790-803 (2022) - [c8]Jiaheng Xie, Yidong Chai, Xiao Liu:
An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube. HICSS 2022: 1-10 - [c7]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: 567-576 - [c6]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: 183-188 - [i4]Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang, Hsinchun Chen:
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. CoRR abs/2205.07853 (2022) - 2021
- [j4]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): 102454 (2021) - [j3]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): 1095-1121 (2021) - [c5]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: 315-320 - [i3]Jiaheng Xie, Yidong Chai, Xiao Liu:
Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics. CoRR abs/2101.01076 (2021) - 2020
- [j2]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) - [c4]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: 20-26 - [i2]Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen:
Deep Learning for Information Systems Research. CoRR abs/2010.05774 (2020) - [i1]Yang Qian, Yuanchun Jiang, Yidong Chai, Yezheng Liu, Jianshan Sun:
TopicModel4J: A Java Package for Topic Models. CoRR abs/2010.14707 (2020)
2010 – 2019
- 2019
- [c3]Yidong Chai, Weifeng Li:
Towards Deep Learning Interpretability: A Topic Modeling Approach. ICIS 2019 - 2018
- [j1]Yidong Chai, Hongyan Liu, Jie Xu:
Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models. Knowl. Based Syst. 161: 147-156 (2018) - 2017
- [c2]Yidong Chai, Luo He, Qiuyan Mei, Hongyan Liu, Liang Xu:
Deep Learning Through Two-Branch Convolutional Neuron Network for Glaucoma Diagnosis. ICSH 2017: 191-201 - [c1]Yidong Chai, Hongyan Liu, Li Zhang:
Extracting Visual Words from Images for Effective Medical Image Analysis. PACIS 2017: 220
Coauthor Index
aka: Yuanchun Jiang
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