Hong Kong Baptist University - Hong Kong
Professional Profiles
Early Academic Pursuits
Dr. MA, Jing embarked on his academic journey with a strong foundation in Telecommunications Engineering, earning his B.Eng. from Beijing University of Posts and Telecommunications in 2013. He furthered his studies with an M.S. in Computer Science specializing in Telecommunications Engineering from the same institution. Dr. MA's academic pursuits culminated in a Ph.D. in Information Systems with a focus on Systems Engineering and Engineering Management from The Chinese University of Hong Kong in 2020. Under the guidance of esteemed supervisors Kam-Fai Wong and Wei Gao, Dr. MA delved into the intricate realms of large language models, multi-modal systems, credibility assessment, and social media analytics.
Professional Endeavors
Following his academic achievements, Dr. MA ventured into the professional realm as an Assistant Professor in the Department of Computer Science at Hong Kong Baptist University. His expertise spans across various domains, including information retrieval, machine learning, and social media analytics. Dr. MA's professional journey is marked by a series of groundbreaking research endeavors aimed at tackling contemporary challenges in the digital landscape.
Contributions and Research Focus On Computer Science
Dr. MA's research focus encompasses several critical areas in computer science. He has made significant contributions to the development of large language models, particularly in the domains of code generation, fake news detection, and meme analysis. His work on explainable AI and credibility assessment has garnered widespread recognition within the academic community. Moreover, Dr. MA has pioneered research in multi-modal systems, exploring the intersection of text and image processing for enhanced information retrieval and understanding.
Accolades and Recognition In Computer Science
Dr. MA's contributions to the field have been recognized through numerous accolades and publications in prestigious conferences and journals. His research papers have been presented at renowned conferences such as The Web Conference, ICLR, ICASSP, EMNLP, and ICCV, among others. These publications underscore Dr. MA's dedication to advancing the frontiers of knowledge his ability to address complex challenges through innovative methodologies.
Impact and Influence
Dr. MA's work has had a profound impact on both academia and industry. His research findings have shed light on critical issues such as fake news detection, meme analysis, and credibility assessment, thereby contributing to the development of more robust and trustworthy AI systems. Furthermore, Dr. MA's collaborations with leading researchers and institutions have facilitated knowledge exchange and fostered interdisciplinary approaches to address contemporary challenges in the digital age.
Legacy and Future Contributions To Computer Science
As Dr. MA continues to push the boundaries of research, his legacy is poised to inspire future generations of scholars and practitioners. His commitment to excellence, coupled with his innovative research methodologies, serves as a beacon for aspiring researchers seeking to make meaningful contributions to the field. Looking ahead, Dr. MA envisions further advancements in large language models, multi-modal systems, and AI ethics, paving the way for a more inclusive, transparent, and trustworthy digital ecosystem.
Dr. MA's dedication to academic excellence, coupled with his innovative research endeavors, positions him as a leading figure in the field of computer science. His contributions have not only expanded the horizons of knowledge but have also paved the way for the development of more robust and ethical AI systems, ensuring a brighter and more equitable future for humanity.
Notable Publications
CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy 2024
Towards low-resource rumor detection: Unified contrastive transfer with propagation structure 2024
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition 2024
Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning 2023