Department Chair, Communication University of China, China
Dr. Qinglan Wei is the Department Chair at the Communication University of China and a leading researcher in the field of multimodal affective computing and AI-driven communication systems. With a doctorate from the School of Artificial Intelligence at Beijing Normal University and joint training at Carnegie Mellon University under CSC sponsorship, she has made significant contributions to group emotion analysis, intelligent video generation, and online public opinion modeling. Her leadership in both academia and industry has led to cutting-edge innovations adopted across national defense, education, and media industries.
Publication Profile
Scopus
Education Background 🎓
Qinglan Wei earned her Ph.D. from the School of Artificial Intelligence at Beijing Normal University, where she also received elite joint research training at Carnegie Mellon University with the support of the China Scholarship Council (CSC). Her interdisciplinary education laid a strong foundation in AI, communication systems, and emotional computing.
Professional Experience 💼
Currently serving as Department Chair at the Communication University of China, Dr. Wei has led 8 national and provincial-level research projects and participated in 9 significant national-level collaborations, including initiatives with Baidu NLP and various ministries. Her consultancy work includes technical training and R&D support for enterprises like Guangdong Southern New Media, showcasing her role in bridging academia with real-world applications.
Awards and Honors 🏆
Dr. Wei has earned numerous accolades including the Best Paper Awards at ChinaMM 2024 and BDSC 2023, and secured third place internationally in the EmotiW competition. Her groundbreaking work has been recognized with multiple project leadership roles from the National Natural Science Foundation and key R&D programs.
Research Focus 🔬
Her primary research areas include multimodal affective computing, intelligent agent modeling using large AI models, communication simulation, video content generation, and public opinion analytics. She introduced novel frameworks like dual-stream heterogeneous feature fusion and group emotion communication chains, tackling technical challenges such as uneven modality contributions and emotion interpretability in videos.
Conclusion 🌟
Dr. Qinglan Wei is a trailblazer in intelligent multimedia systems and emotion-aware communication technologies. Her scholarly impact, marked by 14 top-tier SCI publications, 3 national patents, and sustained collaboration with institutions like CMU, Microsoft Research Asia, and Tsinghua University, exemplifies excellence in both innovation and interdisciplinary leadership.
Top Publications 📚
Multimodal Emotion Recognition with Dual-Stream Fusion. IEEE Transactions on Affective Computing.
(Cited by: 75)
Group Emotion Dynamics in Communication Chains. ACM MM.
(Cited by: 53)
Controllable Emotion Generation in Video. IEEE Transactions on Multimedia.
(Cited by: 46)
Large Model Deployment for Cultural Media Intelligence. IEEE Transactions on Computational Social Systems.
(Cited by: 39)
Online Public Opinion Modeling and Analysis. IEEE Transactions on Knowledge and Data Engineering.
(Cited by: 31)