Prof. Huan Rong | Multi-Modal Data Processing for Image-Text | Nanjing University of Information Science and Technology | China 

 

Professional Profile 

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Early Academic Pursuits

Huan Rong embarked on his academic journey with a Bachelor's degree in Computer Science from Nanjing University of Information Science and Technology (NUIST), China, graduating in 2013. His commitment to academic excellence continued as he pursued a Master's degree in Computer Science at NUIST from 2013 to 2016. Subsequently, he dedicated himself to advanced studies, earning a Ph.D. in Computer Science from NUIST between 2017 and 2020.

Professional Endeavors

After completing his Ph.D., Huan Rong gained valuable industry experience as a Software Developer at TrendMicro, CN, from 2016 to 2017. This real-world exposure enhanced his skills and provided practical insights into the field of computer science.

Learning Experience Abroad

Huan Rong expanded his academic horizons by undertaking a Visiting Scholar position in the United States at the University of Central Arkansas (UCA) from 2019 to 2020. During this period, he worked under the guidance of Prof. Victor S. Sheng, enriching his knowledge in Computer Science.

Current Academic Position

In 2020, Huan Rong returned to NUIST, China, as a Lecturer, later advancing to the position of Associate Professor in the School of Artificial Intelligence. He also assumed the role of Vice Dean of the AI Department, showcasing leadership within the academic institution.

Research Focus and Contributions

Huan Rong's research interests span a wide array of domains, including brain-inspired computation, crowdsourced data integration, data mining, machine learning, big data analysis, deep learning, natural language processing, multi-modal processing, information retrieval, medical informatics, social media mining, information security, and knowledge engineering. His prolific research contributions are evidenced by publications in reputable journals such as IEEE TKDE, ACM TKDD, IEEE TAFFC, Neurocomputing, Information Sciences (INS), Expert Systems with Applications (EWSA), and Knowledge-based Systems (KBS).

Project Funding and Awards

Huan Rong has secured substantial funding for his research projects, including grants from the National Natural Science Foundation of China (NSFC) and the Natural Science Foundation of Jiangsu Province. His dedication and achievements in the realm of Social Network Data Privacy Protection and Public Opinion Supervision were acknowledged with the Jiangsu Province Higher Education Science and Technology Research Achievement Award in 2021. Notably, he holds the title of Vice President of Science and Technology in Jiangsu Province since 2022.

Professional Affiliations and Service

Huan Rong actively contributes to the academic community, serving as a member of committees such as the Emotional Computing Committee of the Chinese Information Processing Society of China (CIPS) and the Intelligent Automation Committee of the Chinese Association of Automation (CAA). Additionally, he has served as a reviewer for esteemed journals, including Neurocomputing, Expert Systems with Applications (EWSA), Knowledge-based Systems, and others.

Representative Papers

Huan Rong has authored several influential papers, addressing diverse topics such as fuzzy factual inconsistency correction, crowdsourced comment integration frameworks, multi-modal summarization, sentiment-emphasized comment integration, and knowledge graph interpretation. His works have been recognized in prestigious conferences and journals, including the IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), ACM Transactions on Knowledge Discovery from Data (TKDD), and Neurocomputing.

Impact and Influence

Huan Rong's research contributions have made a significant impact on the fields of data science, artificial intelligence, and knowledge engineering. His work, characterized by innovative methodologies and interdisciplinary approaches, has not only advanced the academic understanding of these domains but also holds practical implications for industries.

Legacy and Future Contributions

As an Associate Professor at NUIST, Huan Rong continues to make strides in academia, contributing to the growth of knowledge and technological advancements. His legacy is marked by a commitment to excellence in research, education, and service to the academic community. Looking ahead, Huan Rong is poised to further shape the landscape of artificial intelligence and data science through his ongoing and future contributions.

This comprehensive overview highlights Huan Rong's academic journey, professional achievements, and the substantial impact he has made in the fields of artificial intelligence and computer science.

Notable Publications

• A Three-Stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero-and-Few-Shot Learning with Domain Distribution Alignment
• KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction
• Multivariate spatio-temporal modeling of drought prediction using graph neural network
• A privacy-preserving trajectory data synthesis framework based on differential privacy
• AGRCNet: communicate by attentional graph relations in multi-agent reinforcement learning for traffic signal control
• A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract
• Cascaded multi-point regression Network for high-quality generic lesion detection