Prof. Dr. Yen-Liang Chen | deep learning | Best Researcher Award

Chair Professor, National Central University, Taiwan

Professor Yan-Liang Chen is a distinguished Chair Professor in the Department of Information Management at National Central University, Taiwan. He holds a Ph.D. in Information Science from National Tsing Hua University. With over four decades of academic experience, Professor Chen has led several significant projects, advancing the understanding of e-commerce systems, data analytics, and machine learning. His interdisciplinary research focuses on integrating business systems with information technology to drive digital transformation. In addition to his academic responsibilities, he has served as an advisor to the Ministry of Science and Technology and as Editor-in-Chief for renowned journals like the Journal of Electronic Commerce Research. Professor Chen has been recognized globally for his impactful work, making substantial contributions to the field of data analysis, decision support systems, and business intelligence.

Profile:

Scopus

Education:

Professor Yan-Liang Chen earned his Ph.D. in Information Science from National Tsing Hua University, one of Taiwan’s top academic institutions. His educational foundation in Information Science provided the perfect platform for his future research endeavors in e-commerce systems, data analysis, and machine learning. The focus of his doctoral research laid the groundwork for his long-standing contributions to various critical areas such as decision support systems, business intelligence, and sentiment analysis. His academic journey has continuously pushed the boundaries of knowledge, driving advancements in both the theoretical and practical aspects of information management. This foundation, alongside years of extensive teaching and research, has established Professor Chen as a leader in his field, shaping the next generation of scholars and professionals in e-commerce and data analytics.

Experience:

Professor Yan-Liang Chen has a rich academic career that spans over 40 years at National Central University in Taiwan. He began his tenure in 1978 as an Associate Professor, eventually rising to the position of Chair Professor in the Department of Information Management. From 2004 to 2007, he served as the Director of the Department of Information Management and was also the Director of the University Library from 2009 to 2011. Throughout his career, Professor Chen has led numerous research projects and has significantly contributed to the development of Taiwan’s academic and technological landscape. He has also held key advisory roles in various government bodies, such as the Ministry of Science and Technology and National Science Council, helping shape policies on information technology and e-commerce. His extensive leadership roles have made him a prominent figure in both academic and professional spheres.

Awards and Honors:

Professor Yan-Liang Chen has received numerous prestigious awards throughout his career. Notably, he has been honored with the Ministry of Science and Technology Distinguished Research Award in both 2003 and 2009, recognizing his groundbreaking contributions to e-commerce and information technology. In 2015, he was awarded the National Science Council Academic Award for his sustained excellence in research. From 2018 to 2024, he was named a Merit MOST Research Fellow, and in 2024, he received the esteemed MOST Distinguished Special Research Fellow honor. His exceptional research output has earned him a spot in the Global Top 2% Scientist Lifetime and Annual Rankings (2020-2024). Professor Chen’s remarkable academic career and continued impact have been recognized globally, solidifying his reputation as one of the leading scientists in his field.

Research Focus:

Professor Yan-Liang Chen’s research focuses primarily on E-commerce Systems and the integration of information technology with business systems. His areas of expertise include data analysis, machine learning, business intelligence, decision support systems, and sentiment analysis. He is particularly interested in understanding and optimizing the dynamics of e-commerce logistics, consumer behavior, and personalized marketing strategies. His work on basket analysis, cross-selling, and customer purchase sequence analysis has significantly advanced the understanding of consumer purchasing patterns, which are crucial for targeted marketing and enhancing customer retention. Additionally, Professor Chen has worked on text mining and social network analysis, applying these techniques to improve recommendation systems and predictive analytics in the digital commerce environment. His interdisciplinary approach has allowed him to bridge the gap between information technology and practical business applications, leading to innovations in digital transformation.

Publications:

1. A Novel Ensemble Model for Link Prediction in Social Network 🤖📱
2. G-TransRec: A Transformer-Based Next-Item Recommendation With Time Prediction ⏳💡
3. Using Personalized Next Session to Improve Session-Based Recommender Systems 🔄📊
4. A Deep Recommendation Model Considering the Impact of Time and Individual Diversity ⏰🔍
5. A Novel Virtual-Communicated Evolution Learning Recommendation 💻🧠
6. A Deep Multi-Embedding Model for Mobile Application Recommendation 📱🔗
7. New Information Search Model for Online Reviews with the Perspective of User Requirements 🌐🔍
8. A Cross-Platform Recommendation System from Facebook to Instagram 📘📸
9. Aspect-Based Sentiment Analysis with Component Focusing Multi-Head Co-Attention Networks 🧠💬
10. An Ensemble Model for Link Prediction Based on Graph Embedding 🔗📉