Prof. Dr. Shengyi Jiang | Social Computing | Best Researcher Award

Professor at City University of Macau, China

Prof. Shengyi Jiang is a Professor and Ph.D. Supervisor at the City University of Macau’s Faculty of Data Science. He is recognized as a Southern Guangdong Outstanding Teacher and a Distinguished Teaching Master of Guangdong Province. He leads the “Shengyi Jiang Innovation Studio,” established by the Guangdong Provincial Education, Science, Culture, and Health Workers’ Union, and is a provincial-level candidate of the “Thousand-Hundred-Ten” Talent Cultivation Project.

Profile:

• Scopus
• Orcid

🏆 Honors & Recognition:

• 🌟 Southern Guangdong Outstanding Teacher

• 👨‍🏫 Distinguished Teaching Master of Guangdong Province

• 🏅 Leader of the “Shengyi Jiang Innovation Studio”

• 🎓 Provincial-level talent in the “Thousand-Hundred-Ten” Talent Program

💼 Professional Roles:

• 🎖️ Senior Member, China Computer Federation (CCF)

• 🧬 Member, CCF Special Committee on Chinese Information Technology

• 🧠 Council Member, Chinese Information Processing Society of China (CIPSC)

• 💡 Committee Member, AI Society’s Machine Learning & Multilingual Processing Committees

• 💻 Vice President, Guangdong Computer Society

📚 Research Contributions:

• ✍️ Published 100+ research papers, 1 monograph, and 2 textbooks

• 🔍 Focus Areas:

  • Social Emotion Analysis

  • Anomaly Detection

  • Imbalanced Data Learning

  • Data Mining

• 🛡️ Applied Research in fraud detection & public event analysis

• 🧑‍🔬 Principal Investigator in numerous national and provincial research projects

🎓 Academic Leadership:

• 🏛️ Leads provincial teaching and curriculum innovation teams

• 👨‍🎓 Mentor to Ph.D. candidates and emerging scholars

• 📈 Active contributor to academic discipline development in data science and AI

📊 Citation Metrics:

• Total Citations: 1,758

• Citing Documents: 1,699

• Total Publications: 146

• h-index: 19

Publication Top Notes:

• Corpus and Unsupervised Benchmark: Towards Tagalog Grammatical Error Correction
  Computer Speech & Language, 2025
  DOI: 10.1016/j.csl.2024.101750

• A Simple Yet Effective Corpus Construction Framework for Indonesian Grammatical Error Correction
  ACM Transactions on Asian and Low-Resource Language Information Processing, 2025
  DOI: 10.1145/3704264

• City Influence Network: Mining and Analyzing the Influence of Chinese Cities Based on Social Media
  Transactions in GIS, 2024
  DOI: 10.1111/tgis.13249

• CL-XABSA: Contrastive Learning for Cross-Lingual Aspect-Based Sentiment Analysis
  IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023
  DOI: 10.1109/TASLP.2023.3297964

• Cross-Lingual Named Entity Recognition for Heterogenous Languages
  IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023
  DOI: 10.1109/TASLP.2022.3212698

• Self-Training With Double Selectors for Low-Resource Named Entity Recognition
  IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023
  DOI: 10.1109/TASLP.2023.3250828

• Towards Malay Named Entity Recognition: An Open-Source Dataset and a Multi-Task Framework
  Connection Science, 2023
  DOI: 10.1080/09540091.2022.2159014

• A Chinese Grammatical Error Correction Model Based on Grammatical Generalization and Parameter Sharing
  The Computer Journal, 2023
  DOI: 10.1093/comjnl/bxad087

• A Simple but Effective Method for Indonesian Automatic Text Summarisation
  Connection Science, 2022
  DOI: 10.1080/09540091.2021.1937942

• Multimodal Sentiment Analysis Using Multi-Tensor Fusion Network with Cross-Modal Modeling
  Applied Artificial Intelligence, 2022
  DOI: 10.1080/08839514.2021.2000688