I am currently a Ph.D. student in the Department of Information Management, Peking University, under the supervision of Professor Shijuan Li (李世娟). I obtained my Master’s degree from the Department of Information Management, Beijing Jiaotong University, advised by Professor Runtong Zhang (张润彤). Prior to that, I completed my Bachelor’s degree through a joint program between Rochester Institute of Technology and Beijing Jiaotong University.

My research interests include information science, medical informatics, and reading promotion. My work has been published in top journals such as Decision Support Systems, Information Processing & Management, and Artificial Intelligence in Medicine. I also served as a peer reviewer for journals like Artificial Intelligence Review, Expert Systems with Applications , and Journal of Big Data.

🔥 News

• 2025.05:  🎉 I was awarded the Zhixing Scholarship.
• 2024.12:  🎉 I was awarded the Xu Shoubo Academician Scholarship.
• 2024.12:  🎉 I was awarded the National Scholarship for Postgraduate Students.

📝 Publications

* indicates corresponding author; † indicates equal contribution.

🔹 Published Papers

DSS

Journal Article

What can we learn from multimorbidity? A deep dive from its risk patterns to the corresponding patient profiles

Decision Support Systems

Xiaochen Wang, Runtong Zhang^*, Xiaomin Zhu

IPM

Journal Article

Scientific collaborator recommendation via hypergraph embedding

Information Processing & Management

Xiaochen Wang, Wensheng Huang, Butian Zhao, Shijuan Li^*

AIIM

Journal Article

Medical knowledge graph completion via fusion of entity description and type information

Artificial Inteligence in Medicine

Xiaochen Wang, Runtong Zhang^*, Butian Zhao, Yuhan Yao, Hongmei Zhao, Xiaomin Zhu

• Wensheng Huang, Xiaochen Wang, Qianyao Zhang, Junhui Han, Runtong Zhang^*. Beyond likes and comments: How social proof influences consumer impulse buying on short-form video platforms. Journal of Retailing and Consumer Services, 2025(84): 104199.

🔹 Working Papers

• Shijuan Li, Xiaochen Wang^*, Shan Qiao, Yuge Wang. Intergenerationl transmission of reading in rural China. Research Policy, in progress.
• Xiaochen Wang, Wensheng Huang, Xinpeng Qiu, Shijuan Li. Performative narratives and destination image in cross-cultural tourism livestreaming. Tourism Management, in progress.
• 李世娟, 王笑辰, 王雨格, 乔杉^*. 分级阅读的历史逻辑、本土特质与实践路径. 中国图书馆学报, 专家外审中. (Shijuan Li, Xiaochen Wang, Yuge Wang, Shan Qiao^*. The historical logic, indigenous characteristics, and practical pathways of leveled reading. Journal of Library Science in China, under review.)
• 王笑辰, 李世娟, 黄文胜, 赵红梅, 张润彤^*. 融合先验知识与多源异构数据的临床误诊风险预测与特征识别研究. 数据分析与知识发现, 主编终审. (Xiaochen Wang, Shijuan Li, Wensheng Huang, Hongmei Zhao, Runtong Zhang^*. Integrating prior knowledge with multi-source heterogeneous data for clinical misdiagnosis risk prediction and feature identification. Data Analysis and Knowledge Discovery, decision in process.)
• Wensheng Huang, Xiaochen Wang, Catherine Prentice, Qianyao Zhang, Xiaomin Zhu, Runtong Zhang^*. Caught between data and drama: Exploring symmetrical and asymmetrical effects of information and emotion on e-commerce purchase. Behaviour & Information Technology, under review.
• Wensheng Huang, Runtong Zhang^*, Xiaochen Wang. The AI wall effect: How AI-gated service entry points drive consumer resistance and human seekings. Journal of Service Research, with editor.
• Wensheng Huang, Runtong Zhang^*, Xiaochen Wang. Beyond the screen: How multimodal stimuli and social sensemaking jointly drive user engagement in short-form videos. Information & Management, with editor.
• Wenchao Deng, Runtong Zhang^*, Xiaochen Wang, Xiaomin Zhu. A bi-objective location-routing model for municipal solid waste with non-real-time data. Journal of Cleaner Production, with editor.
• Shijie Ning, Xiaomin Zhu^*, Zhizheng Sun, Xiaochen Wang, Runtong Zhang. Multiscale dilated attention convolutional neural network for remaining useful life prediction of rolling bearings in noisy environments. Measurement Science and Technology, under review.
• Wensheng Huang, Catherine Prentice, Pei Wu, Xiaochen Wang, Qiaoyao Zhang, Runtong Zhang^*. Beyond the white coat: Heuristics, professionalism, and consumer choice in healthcare through big data and machine learning. Journal of Consumer Behaviour, with editor.
• Butian Zhao^*, Xuehao Zhang, Minyu Chen, Ruojia Wang, Tian Tian, Zhanfeng Yan, Xiaochen Wang, Fengying Guo. A phased hybrid approach for recommending doctors in online health communities via coordination of deep learning and reinforcement learning. Decision Support Systems, under revision.

🎖 Honors and Awards

• 2025.05 Zhixing Scholarship (¥10,000, ~Top 5 at BJTU)
• 2024.12 Xu Shoubo Academician Scholarship (¥25,000, ~Top 1 in the SEM, BJTU)
• 2024.12 National Scholarship for Postgraduate Students (¥20,000, ~Top 2% in the SEM, BJTU)

📖 Educations

• 2025.09 - present, Ph.D. Student, Department of Information Management, Peking University.
• 2022.09 - 2025.06, Master, Department of Information Management, Beijing Jiaotong University.
• 2018.09 - 2022.06, Bachelor, School of Economics and Management, Rochester Institute of Technology & Beijing Jiaotong University.

🚀 Projects

Intergenerational Transmission of Reading in Rural China
Member | General Program of National Social Science Foundation of China | Jun. 2025 - Present

• Advisor: Prof. Shijuan Li
• Research: Investigating the micro-mechanisms of reading habit transmission in rural families using a mixed-method approach of Video Ethnography and Randomized Controlled Trials. Exploring how behavioral scaffolding compensates for cultural capital deficits in intergenerational care and assessing the effectiveness of no-phone interventions against digital interference.

Clinical misdiagnosis research and judgement techniques driven by healthcare big data
Student Director | General Program of National Natural Science Foundation of China | Sept. 2022 - Jun. 2025

• Advisor: Prof. Runtong Zhang
• Research: Developed a novel link prediction method using information fusion, achieving SOTA performance in completing the misdiagnosis knowledge graph. Applied a hybrid machine learning approach to multimodal patient data, reducing the misdiagnosis rate by 14% in a pilot hospital.
• Development: Led a team to design and deploy an automated diagnostic error identification system processing 10TB of medical data. Improved rule mining efficiency by 15% through a robust system architecture using Spring Boot, Vue.js, Redis, and MySQL.

Hierarchical medical system under the sharing economy
Member | Major Program of National Social Science Foundation of China | Mar. 2023 - Mar. 2024

• Advisor: Prof. Runtong Zhang
• Research: Applied dynamic network techniques to optimize hierarchical medical treatment for acute and chronic diseases, improving treatment coordination. Developed a multimorbidity risk model integrating complex networks and cross-domain knowledge, creating a new index that boosts mortality prediction accuracy by 13%.