Prof. Xin Kang, Tokushima University, Japan
āØ Dr. Xin Kang is a distinguished scholar in Information Science and Intelligent Systems, holding a PhD from Tokushima University, earned in 2013 under Prof. Fuji Ren’s guidance. His dissertation, “Analyzing the Complex Emotions and Emotion-Related Topics from Texts,” showcased his expertise in emotional nuances. Prior, he obtained a Master’s degree in Pattern Recognition and Intelligent Systems from Beijing University of Posts and Telecommunications in 2009. š Dr. Kang, currently an Assistant Professor at Tokushima University, has a rich academic journey marked by commitment to unraveling language intricacies and emotions. His accolades include the 2020 Best Contribution Award and the 2019 Best Presentation Award. š With a focus on affective computing and neuro-symbolic AI, Dr. Kang’s research aligns with his passion for developing Trustworthy AI for mental healthcare. š¤ His diverse work experience includes a postdoctoral fellowship at Tongji University, emphasizing his interdisciplinary expertise, and his dedication is evident in his impactful contributions to the dynamic intersection of artificial intelligence and affective computing. šØāš¬
šĀ Education :
Dr. Xin Kang, a distinguished scholar in the field of Information Science and Intelligent Systems, earned his PhD from Tokushima University in 2013 under the guidance of Prof. Fuji Ren. His dissertation, titled “Analyzing the Complex Emotions and Emotion-Related Topics from Texts,” showcased his expertise in delving into intricate emotional nuances within textual content. Prior to his doctoral studies, Dr. Kang obtained his Master’s degree in Pattern Recognition and Intelligent Systems from Beijing University of Posts and Telecommunications in 2009, supervised by Prof. Xiaojie Wang. His thesis, “Research of Chinese and Japanese Question Classification,” reflected his early contributions to understanding linguistic nuances across different languages. Dr. Kang’s academic journey has been marked by a commitment to unraveling the intricacies of language and emotions, making him a notable figure in the intersection of information science and emotional analysis. šš
šĀ Professional Profiles :
Google Scholar
Scopus
ORCID
šØāš« Work Experience :
Prof. Xin Kang has established himself as a dedicated academic with a rich work history. Currently serving as an Assistant Professor at Tokushima University’s Institute of Technology and Science since 2015, he continues to contribute to the academic community through teaching and research. Prior to his current role, from 2014 to 2016, Prof. Kang held a Postdoctoral Fellowship at Tongji University in the Department of Electrical Engineering, showcasing his interdisciplinary expertise. In the year following the completion of his PhD, he served as a Foreign Researcher at Tokushima University’s Institute of Technology and Science in 2013-2014, further solidifying his ties with the institution. Prof. Kang’s diverse work experience reflects his commitment to both academic and practical aspects of his field, making him a valuable asset to the institutions he has been associated with. š«š¬
š Awards and Honors :
Prof. Xin Kang, a distinguished figure in the field of natural language processing and knowledge engineering, has garnered numerous accolades throughout his illustrious career. š In 2020, he received the Best Contribution Award at the 15th International Conference on Natural Language Processing and Knowledge Engineering, showcasing his impactful contributions to the field. š His expertise in text emotion classification was recognized in 2019 with the Best Presentation Award at the 4th International Symposium on Artificial Intelligence and Robotics. š¤ Prof. Kang’s commitment to excellence extends to 2017 when he earned the Best Paper Award for his work on training Recurrent Neural Network Models at the 12th International Conference on Natural Language Processing and Knowledge Engineering. š Beyond these accolades, his global perspective was acknowledged in 2013 with the International Exchange Research Award from Tokushima University. š Prof. Kang’s journey in academia began with the 2011 Best Paper Award at the 7th International Conference on Natural Language Processing and Knowledge Engineering. š His academic prowess was further recognized with the Japanese Government Scholarship in 2009. š Prof. Kang’s early achievements include an Honorable Mention in the Mathematical Contest in Modeling (MCM) in 2005 and being recognized as an Outstanding Student at Northeastern University the same year. š
In 2004, he clinched the Second Prize in the China Undergraduate Mathematical Contest in Modeling, laying the foundation for a remarkable career marked by excellence and recognition. šØāš«āØ
š» Research Experience :
Prof. Xin Kang, an accomplished researcher, has made significant contributions in the realm of affective computing and neuro-symbolic AI at Ren Laboratory, Tokushima University, since 2015. š§ His pioneering work includes a data-efficient learning approach that integrates symbolic knowledge into deep neural networks for accurate and explainable affective computing. š¤ Prof. Kang’s expertise extends to early depression detection, where his Time-Aware Affective Memories model, featuring a unique learning target latency penalty, ranked first in the CLEF-2022 Early Detection of Depression Task. š His impactful research spans diverse areas, from affective corpus construction using Optimal Transport Divergence-based sample selection to achieving top rankings in NTCIR-15 and NTCIR-16 Dialogue Evaluation Tasks with innovative approaches in affective dialogue generation and automatic dialogue quality evaluation. š£ļøš Furthermore, his work on user intent understanding in short texts, visual question answering in the medical domain, and affective state analysis in social network users showcases his versatility and excellence in various domains. š Prof. Kang’s earlier research at Miao Laboratory, Tongji University, and Ren Laboratory delved into affective state analysis in social network users and suicidal risk evaluation based on affective computing, earning him accolades and publications in esteemed journals. š His continuous dedication is evident in his exploration of semi-supervised learning for affective state modeling in social network users, contributing to journals like IEEJ Transactions on Electrical and Electronic Engineering and Information Technology and Management. ššØāš¬ Prof. Xin Kang’s research journey exemplifies innovation and impact in the dynamic intersection of artificial intelligence and affective computing. šāØ
š§ Research Interests š¬š :
Prof. Xin Kang is at the forefront of cutting-edge research, focusing on a diverse array of captivating topics within artificial intelligence. š¤ His research interests span Trustworthy AI for mental healthcare, where he endeavors to create reliable and ethical solutions for enhancing mental well-being. š” Proficient in Affective Computing, he explores the intricate interplay between emotion and technology, fostering empathetic AI systems. š§ The integration of Neuro-Symbolic AI and Deep Learning reflects his commitment to developing advanced models that combine symbolic reasoning with neural networks for enhanced performance and interpretability. š Active Learning, Natural Language Processing, and Dialogue Systems constitute key areas where Prof. Kang excels, driving innovation in intelligent interactions and information processing. š£ļøš His expertise extends to Probabilistic Graphical Models, showcasing a keen interest in robust probabilistic reasoning for AI applications. š Prof. Kang’s research also explores the dynamic landscape of Social Media and Networks, contributing to a deeper understanding of human interactions in digital spaces. šāļø With a specific focus on Trustworthy AI for Mental Healthcare, Prof. Xin Kang’s research journey is a testament to his commitment to advancing AI for societal well-being and mental health. šØāš¬
šĀ Publication Impact and Citations :
Scopus Metrics:
- šĀ Publications: 76 documents indexed in Scopus.
- šĀ Citations: A total of 461 citations for his publications, reflecting the widespread impact and recognition of Dr. Xin Kangās research within the academic community.
Google Scholar Metrics:
- All Time:
- Citations: 707 š
- h-index: 14 š
- i10-index: 19 š
- Since 2018:
- Citations: 581 š
- h-index: 13 š
- i10-index: 14 š
šØāš« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šš¬
Publications Top NotesĀ :
1.Ā Examining accumulated emotional traits in suicide blogs with an emotion topic modelĀ
Published in IEEE Journal of Biomedical and Health Informatics
Published Year : 2015, Cited by 83
2.Ā Surface defect detection of steel strips based on classification priority YOLOv3-dense networkĀ
Published in Ironmaking & Steelmaking
Published Year : 2021, Cited by 60
3.Ā Object detection based on SSD-ResNetĀ
Published in 2019 IEEE 6th International Conference on Cloud Computing and Intelligence
Published Year : 2019, Cited by 55
4.Ā Exploring latent semantic information for textual emotion recognition in blog articles
Published in IEEE/CAA Journal of Automatica Sinica
Published Year : 2017, Cited by 45
5.Ā Employing hierarchical Bayesian networks in simple and complex emotion topic analysisĀ
Published in Computer Speech & Language
Published Year : 2013, Cited by 43