Yidong Chai - RankMe

54 papers A* 1C 1Journal 43Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A disentangled multimodal neural topic model. Inf. Process. Manag. YingQiu Xiong, Yezheng Liu, Yang Qian, Yuanchun Jiang, Yidong Chai, Haifeng Ling
2026	J	`jnl`	Toward trustworthy web attack detection: An uncertainty-aware ensemble deep kernel learning model. Inf. Manag. Yonghang Zhou, Hongyi Zhu, Yidong Chai, Ye-Zheng Liu, Yuanchun Jiang, Yang Qian
2025	J	`jnl`	A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models. CoRR Yidong Chai, Yang Liu, Yonghang Zhou, Jiaheng Xie, Daniel Dajun Zeng
2025	J	`jnl`	A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis. BMC Medical Informatics Decis. Mak. Jie Xu, Erkang Jing, Yidong Chai
2025	A*	`conf`	AI Chatbots as Professional Service Agents: Developing a Professional Identity. EMNLP Wenwen Li, Kangwei Shi, Yidong Chai
2025	J	`jnl`	AI Chatbots as Professional Service Agents: Developing a Professional Identity. CoRR Wenwen Li, Kangwei Shi, Yidong Chai
2025	J	`jnl`	Adversarially Robust Detection of Harmful Online Content: A Computational Design Science Approach. CoRR Yidong Chai, Yi Liu, Mohammadreza Ebrahimi, Weifeng Li, Balaji Padmanabhan
2025	J	`jnl`	Collaborative Management for Chronic Diseases and Depression: A Double Heterogeneity-based Multi-Task Learning Method. CoRR Yidong Chai, Haoxin Liu, Jiaheng Xie, Chaopeng Wang, Xiao Fang
2025	J	`jnl`	Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. ACM Trans. Inf. Syst. Erkang Jing, Yezheng Liu, Yidong Chai, Shuo Yu, Longshun Liu, Yuanchun Jiang, Yang Wang
2025	J	`jnl`	RADAR: A Framework for Developing Adversarially Robust Cyber Defense AI Agents with Deep Reinforcement Learning. MIS Q. Reza Ebrahimi, Yidong Chai, Weifeng Li, Jason Pacheco, Hsinchun Chen
2025	J	`jnl`	When Experts Speak:Sequential LLM-Bayesian Learning for Startup Success Prediction. CoRR Yidong Chai, Yanguang Liu, Xuan Tian, Jiaheng Xie, Yonghang Zhou
2024	J	`jnl`	A Bayesian deep recommender system for uncertainty-aware online physician recommendation. Inf. Manag. Fulai Cui, Shuo Yu, Yidong Chai, Yang Qian, Yuanchun Jiang, Yezheng Liu, Xiao Liu, Jianxin Li
2024	J	`jnl`	A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning. CoRR Anqi Zhou, Yezheng Liu, Yidong Chai, Hongyi Zhu, Xinyue Ge, Yuanchun Jiang, Meng Wang
2024	J	`jnl`	A profile similarity-based personalized federated learning method for wearable sensor-based human activity recognition. Inf. Manag. Yidong Chai, Haoxin Liu, Hongyi Zhu, Yue Pan, Anqi Zhou, Hongyan Liu, Jianwei Liu, Yang Qian
2024	J	`jnl`	An interpretable wide and deep model for online disinformation detection. Expert Syst. Appl. Yidong Chai, Yi Liu, Weifeng Li, Bin Zhu, Hongyan Liu, Yuanchun Jiang
2024	J	`jnl`	Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method. CoRR Yidong Chai, Kangwei Shi, Jiaheng Xie, Chunli Liu, Yuanchun Jiang, Ye-Zheng Liu
2024	—	`conf`	Enhancing Adversarial Robustness: A Novel Bayesian Uncertainty-Based Ensemble Learning Method. DSC Yidong Chai, Yi Liu, Mohammadreza Ebrahimi, Weifeng Li, Balaji Padmanabhan, Yuanchun Jiang, Yezheng Liu
2024	J	`jnl`	Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection. CoRR Haoxin Liu, Wenli Zhang, Jiaheng Xie, Buomsoo Kim, Zhu Zhang, Yidong Chai
2024	J	`jnl`	From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models. CoRR Yuncong Yang, Xiao Han, Yidong Chai, Reza Ebrahimi, Rouzbeh Behnia, Balaji Padmanabhan
2024	J	`jnl`	Motion Sensor-Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach. Inf. Syst. Res. Shuo Yu, Yidong Chai, Sagar Samtani, Hongyan Liu, Hsinchun Chen
2024	J	`jnl`	Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. CoRR Erkang Jing, Yezheng Liu, Yidong Chai, Shuo Yu, Longshun Liu, Yuanchun Jiang, Yang Wang
2024	J	`jnl`	Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach. Decis. Support Syst. Fan Zhou, Yuanchun Jiang, Yang Qian, Yezheng Liu, Yidong Chai
2024	J	`jnl`	Review-based recommendation under preference uncertainty: An asymmetric deep learning framework. Eur. J. Oper. Res. YingQiu Xiong, Yezheng Liu, Yang Qian, Yuanchun Jiang, Yidong Chai, Haifeng Ling
2024	J	`jnl`	Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model. CoRR Jiaheng Xie, Ruicheng Liang, Yidong Chai, Yang Liu, Daniel Zeng
2024	J	`jnl`	Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model. CoRR Yonghang Zhou, Hongyi Zhu, Yidong Chai, Yuanchun Jiang, Yezheng Liu
2023	J	`jnl`	A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation. ACM Trans. Manag. Inf. Syst. Yidong Chai, Hongyan Liu, Jie Xu, Sagar Samtani, Yuanchun Jiang, Haoxin Liu
2023	J	`jnl`	A deep interpretable representation learning method for speech emotion recognition. Inf. Process. Manag. Erkang Jing, Yezheng Liu, Yidong Chai, Jianshan Sun, Sagar Samtani, Yuanchun Jiang, Yang Qian
2023	J	`jnl`	Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression. IEEE Trans. Knowl. Data Eng. Yidong Chai, Ruicheng Liang, Sagar Samtani, Hongyi Zhu, Meng Wang, Ye-Zheng Liu, Yuanchun Jiang
2023	—	`conf`	Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach. PACIS Ruicheng Liang, Yidong Chai, Weifeng Li, Michael Chau, Yuanchun Jiang, Yezheng Liu
2023	J	`jnl`	Deep Learning for Information Systems Research. J. Manag. Inf. Syst. Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen, Jay F. Nunamaker Jr.
2023	J	`jnl`	Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. IEEE Trans. Pattern Anal. Mach. Intell. Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang, Hsinchun Chen
2023	J	`jnl`	Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning. J. Manag. Inf. Syst. Jiaheng Xie, Yidong Chai, Xiao Liu
2023	J	`jnl`	Why some products compete and others don't: A competitive attribution model from customer perspective. Decis. Support Syst. Yang Qian, Yuanchun Jiang, Jennifer Shang, Yidong Chai, Ye-Zheng Liu
2022	—	`conf`	An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection. ICDM (Workshops) Mohammadreza Ebrahimi, Weifeng Li, Yidong Chai, Jason Pacheco, Hsinchun Chen
2022	J	`jnl`	An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence. IEEE Trans. Dependable Secur. Comput. Yidong Chai, Yonghang Zhou, Weifeng Li, Yuanchun Jiang
2022	—	`conf`	An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube. HICSS Jiaheng Xie, Yidong Chai, Xiao Liu
2022	J	`jnl`	Assessing and Enhancing Adversarial Robustness of Predictive Analytics: An Empirically Tested Design Framework. J. Manag. Inf. Syst. Weifeng Li, Yidong Chai
2022	J	`jnl`	Cross-Lingual Cybersecurity Analytics in the International Dark Web with Adversarial Deep Representation Learning. MIS Q. Mohammadreza Ebrahimi, Yidong Chai, Sagar Samtani, Hsinchun Chen
2022	J	`jnl`	Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. CoRR Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang, Hsinchun Chen
2022	—	`conf`	Identification of Key Features for VR Applications with VREVIEW: A Topic Model Approach. VR Workshops Yang Qian, YingQiu Xiong, Yuyang Wang, Yuanchun Jiang, Yezheng Liu, Yidong Chai
2022	J	`jnl`	Linking Exploits from the Dark Web to Known Vulnerabilities for Proactive Cyber Threat Intelligence: An Attention-Based Deep Structured Semantic Model. MIS Q. Sagar Samtani, Yidong Chai, Hsinchun Chen
2022	J	`jnl`	Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion. Inf. Process. Manag. Yang Qian, Wang Xu, Xiao Liu, Haifeng Ling, Yuanchun Jiang, Yidong Chai, Ye-Zheng Liu
2021	—	`conf`	Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature. DSC Ye-Zheng Liu, Jicheng Wang, Yang Qian, Yuanchun Jiang, Jianshan Sun, Yidong Chai
2021	J	`jnl`	Fall Detection with Wearable Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach. J. Manag. Inf. Syst. Shuo Yu, Yidong Chai, Hsinchun Chen, Randall A. Brown, Scott J. Sherman, Jay F. Nunamaker Jr.
2021	J	`jnl`	Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model. Inf. Process. Manag. Yidong Chai, Yiyang Bian, Hongyan Liu, Jiaxing Li, Jie Xu
2021	J	`jnl`	Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics. CoRR Jiaheng Xie, Yidong Chai, Xiao Liu
2020	J	`jnl`	A new convolutional neural network model for peripapillary atrophy area segmentation from retinal fundus images. Appl. Soft Comput. Yidong Chai, Hongyan Liu, Jie Xu
2020	J	`jnl`	Deep Learning for Information Systems Research. CoRR Sagar Samtani, Hongyi Zhu, Balaji Padmanabhan, Yidong Chai, Hsinchun Chen
2020	—	`conf`	Detecting Cyber Threats in Non-English Hacker Forums: An Adversarial Cross-Lingual Knowledge Transfer Approach. SP (Workshops) Mohammadreza Ebrahimi, Sagar Samtani, Yidong Chai, Hsinchun Chen
2020	J	`jnl`	TopicModel4J: A Java Package for Topic Models. CoRR Yang Qian, Yuanchun Jiang, Yidong Chai, Yezheng Liu, Jianshan Sun
2019	C	`conf`	Towards Deep Learning Interpretability: A Topic Modeling Approach. ICIS Yidong Chai, Weifeng Li
2018	J	`jnl`	Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models. Knowl. Based Syst. Yidong Chai, Hongyan Liu, Jie Xu
2017	—	`conf`	Deep Learning Through Two-Branch Convolutional Neuron Network for Glaucoma Diagnosis. ICSH Yidong Chai, Luo He, Qiuyan Mei, Hongyan Liu, Liang Xu
2017	—	`conf`	Extracting Visual Words from Images for Effective Medical Image Analysis. PACIS Yidong Chai, Hongyan Liu, Li Zhang