Dr. MA, Jing - Computer Science - Best Researcher Award

Hong Kong Baptist University - Hong Kong

Professional Profiles

Scopus
ORCID

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

Early Academic Pursuits:

Alberto Manuel Angeles Castellanos embarked on his academic journey with a solid foundation in Oaxaca, Mexico. His early education, from primary school to preparatory education, laid the groundwork for his future endeavors. Graduating as a Médico Cirujano from the Universidad Autónoma "Benito Juárez" de Oaxaca in 1997, he showcased a commitment to his academic pursuits from an early age.

Professional Endeavors:

Following his medical studies, Dr. Angeles Castellanos engaged in pivotal professional experiences, including an internship at the Centro Médico del Norte SSA in Ciudad Obregón, Sonora. His dedication extended to a social service placement at the Clínica de Concentración No. 01 in Tuxtepec, Oaxaca. These early professional experiences not only honed his medical skills but also instilled in him a sense of social responsibility.

Contributions and Research Focus:

His academic journey culminated in a Doctorado en Ciencias Biomédicas at the Universidad Nacional Autónoma de México (UNAM). Dr. Angeles Castellanos' doctoral research, focusing on the identification of an anatomical substrate in the central nervous system responsive to food synchronization, showcased his commitment to advancing scientific understanding. This research hinted at his future contributions to the intersection of biology and neuroscience.

Accolades and Recognition:

In recognition of his significant contributions, Dr. Angeles Castellanos received accolades, completing his academic journey with the successful defense of his thesis on February 11, 2005. His work was acknowledged not only within the academic sphere but also within the broader scientific community.

Impact and Influence:

Dr. Angeles Castellanos' impact extends beyond the confines of academia. His work in identifying neural responses to food synchronization bears relevance to broader issues such as circadian rhythms and behavioral neuroscience. The implications of his research contribute to a deeper understanding of the intricate relationship between the central nervous system and external stimuli, with potential applications in diverse fields.

Legacy and Future Contributions:

The legacy of Dr. Angeles Castellanos is marked by a commitment to scientific inquiry and a dedication to advancing biomedical knowledge. As an alumnus of UNAM, his contributions serve as inspiration for future generations of researchers. His work not only sheds light on the intricacies of the nervous system but also paves the way for innovative approaches in medical and neuroscience research.

Highlight of Future Contributions:

Looking ahead, Dr. Angeles Castellanos is poised to continue making significant contributions to the scientific community. His expertise in biomedical sciences positions him as a potential leader in the ongoing quest to unravel the complexities of the human nervous system. Whether through further research, academic mentorship, or collaborative endeavors, his future contributions hold the promise of advancing our understanding of the biological underpinnings of behavior.