Prof. Jianwu Dang | Human-Computer Interaction | Best Paper Award
Professor at Shenzhen Institute of Advanced Technology, CAS, China
Profiles
 Early Academic Pursuits
Prof. Jianwu Dang embarked on his academic journey with a strong foundation in computer science, earning both his bachelor’s (1982) and master’s (1984) degrees from Tsinghua University. His academic curiosity led him to pursue a Ph.D. at Shizuoka University, Japan (1992), where he delved into speech science and computational modeling.
 Professional Endeavors
His career began as a lecturer at Tianjin University (1984-1988) before moving to Japan, where he became a senior researcher at ATR Human Information and Communication Laboratories (1992-2001). During this period, he also worked as a visiting scholar at the University of Waterloo, Canada (1998-1999). Later, he held prominent positions such as Professor and Director of the Intelligent Information Processing Laboratory at the Japan Advanced Institute of Science and Technology (2001-2022) and First-Class Research Scientist at the Institute for Speech Communication, Grenoble, French Academy of Sciences (2002-2003).
 Contributions and Research Focus
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Computational modeling of pronunciation mechanisms at the physiological level.
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Speech recognition and synthesis at the acoustic level.
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Neurocognitive studies on speech perception and cognition.
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Applications in speech disorders and assistive technology.
 Impact and Influence
Prof. Dang has made significant contributions to global speech science research, returning to China to serve as Dean of the School of Computer Science, Tianjin University (2009-2016) and later as an adjunct professor (2009-2023). He also played a pivotal role as the first Director of the CCF Speech Dialogue and Hearing Committee, influencing national and international advancements in human-computer interaction and speech processing.
 Academic Citations and Publications
With an impressive academic record, Prof. Dang has authored over 120 journal articles in leading international journals such as JASA, IEEE Transactions, Speech Communication, and Neuroscience. He has also contributed to over 500 conference papers, shaping research in speech technology, machine learning, and auditory neuroscience.
 Technical Skills
Prof. Jianwu Dang expertise spans speech signal processing, artificial intelligence, computational neuroscience, multimodal human-computer interaction, deep learning, and physiological speech modeling.
Teaching Experience
Throughout his career, Prof. Dang has been committed to education, mentoring students and researchers in computational speech science. His teaching roles at Tianjin University, Japan Advanced Institute of Science and Technology, and Shenzhen University of Technology have inspired a new generation of researchers.
 Legacy and Future Contributions
As a National High-Level Talent and Chief Scientist of the 973 Project, Prof. Dang continues to lead groundbreaking research. His vision for the future includes advancements in AI-driven speech technology, neurocognitive speech modeling, and assistive communication technologies that will shape the next era of human-computer interaction.
Publications
APIN: Amplitude- and phase-aware interaction network for speech emotion recognition
- Authors: Lili Guo, Jie Li, Shifei Feiu Ding, Jianwu Dang
Journal: Speech Communication
Year: 2025
HC-APNet: Harmonic Compensation Auditory Perception Network for low-complexity speech enhancement
- Authors: Nan Li, Meng Ge, Longbiao Wang, Yanghao Zhou, Jianwu Dang
Journal: Speech Communication
Year: 2025
Dual-stream Noise and Speech Information Perception based Speech Enhancement
- Authors: Nan Li, Longbiao Wang, Qiquan Zhang, Jianwu Dang
Journal: Expert Systems with Applications
Year: 2025
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
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Authors: Cuiying Huo, Dongxiao He, Yawen Li, Lingfei Wu, Weixiong Zhang
Journal: ACM Transactions on Intelligent Systems and Technology
Year: 2025
Language-Emphasized Cross-Lingual In-Context Learning for Multilingual LLM
- Authors: Junlei Li, Xiao Wei, Xiaobao Wang, Longbiao Wang, Jianwu Dang
Year: 2025