An Improvement to E-Commerce Recommendation using Product Network Analysis. - Jiaheng Xie; Wangsheng Zhun; Kanliang Wang (PACIS, 2014)

Consumers' Purchase Intention of Online Product Customization Using Different Terminals with/without Default Template. - Jiaheng Xie; Wangsheng Zhu; Kanliang Wang (HCI (23), 2015)

Understanding Reasons for Medication Nonadherence: An Exploration in Social Media Using Sentiment-Enriched Deep Learning Approach. - Jiaheng Xie; Xiao Liu 016; Daniel Zeng 001; Xiao Fang (ICIS, 2017)

Readmission Risk Prediction for Patients with Heterogeneous Hazard: A Trajectory-Aware Deep Learning Approach. - Jiaheng Xie; Bin Zhang (ICIS, 2018)

Readmission Prediction Using Trajectory-Based Deep Learning Approach. - Jiaheng Xie; Bin Zhang; Daniel Zeng 001 (ICSH, 2018)

Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation. - Jiaheng Xie; Xiao Liu 016; Daniel Dajun Zeng (J. Am. Medical Informatics Assoc., 2018)

Discovering Barriers to Opioid Addiction Treatment from Social Media: A Similarity Network-Based Deep Learning Approach. - Jiaheng Xie; Zhu Zhang; Xiao Liu 016; Daniel Zeng 001 (ICIS, 2019)

Extracting Medication Nonadherence Reasons with Sentiment-Enriched Deep Learning. - Jiaheng Xie; Xiao Liu 016; Daniel Zeng 001; Xiao Fang (ICSH, 2019)

Understanding Opioid Addiction with Similarity Network-Based Deep Learning. - Jiaheng Xie; Zhu Zhang; Xiao Liu 016; Daniel Zeng 001 (ICSH, 2019)

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

An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar. - Mingwei Huang; Zijing Zhang; Jiaheng Xie; Jiahuan Li; Yuan Zhao (Entropy, 2021)

Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning. - Jiaheng Xie; Zhu Zhang; Xiao Liu 016; Daniel Zeng 001 (J. Manag. Inf. Syst., 2021)

Write Like a Pro or an Amateur? Effect of Medical Language Formality. - Jiaheng Xie; Bin Zhang; Susan A. Brown; Daniel Zeng 001 (ACM Trans. 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)

E-VAN : Enhanced Variational AutoEncoder Network for Mitigating Gender Bias in Static Word Embeddings. - Swati Tyagi; Jiaheng Xie; Rick Andrews (NLPIR, 2022)

Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT. - Jiaheng Xie; Xiaohang Zhao; Xiang Liu; Xiao Fang (CoRR, 2022)

Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach. - Jiaheng Xie; Xiao Liu 016; Daniel Dajun Zeng; Xiao Fang (MIS Q., 2022)

Readmission Prediction for Patients with Heterogeneous Medical History: A Trajectory-Based Deep Learning Approach. - Jiaheng Xie; Bin Zhang; Jian Ma; Daniel Zeng 001; Jenny Lo-Ciganic (ACM Trans. Manag. Inf. Syst., 2022)

What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media. - Junwei Kuang; Jiaheng Xie; Zhijun Yan (ICIS, 2023)

Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach. - Wenli Zhang; Jiaheng Xie; Xiang Liu; Zhu Zhang (CoRR, 2023)

Patient Dropout Prediction in Virtual Health: A Multimodal Dynamic Knowledge Graph and Text Mining Approach. - Shuang Geng; Wenli Zhang; Jiaheng Xie; Gemin Liang; Ben Niu 002 (CoRR, 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)

Prediction of the Number of Cumulative Pulses Based on the Photon Statistical Entropy Evaluation in Photon-Counting LiDAR. - Mingwei Huang; Zijing Zhang; Longzhu Cen; Jiahuan Li; Jiaheng Xie; Yuan Zhao (Entropy, 2023)

Predicting Consultation Success in Online Health Platforms Using Dynamic Knowledge Graphs and Multimodal Data Fusion. - Wenli Zhang; Shuang Geng; Jiaheng Xie; Gemin Liang; Ben Niu 002; Sudha Ram (ICIS, 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)

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)

Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling. - Swati Tyagi; Anuj Anuj; Wei Qian; Jiaheng Xie; Rick Andrews (Int. J. Inf. Manag. Data Insights, 2024)

Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach. - Wenli Zhang; Jiaheng Xie; Zhu (Drew) Zhang; Xiang Liu (J. Manag. Inf. Syst., 2024)

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)