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:
🏆 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