I am a joint Ph.D. candidate at the University of Chinese Academy of Sciences (UCAS) and the City University of Hong Kong (CityU). I earned my bachelor’s degree from the Central University of Finance and Economics (CUFE) in 2021. My research interests encompass Graph Neural Networks, Data Mining, and Risk Analysis.

Latest News

• [2025.03] Our work Linear Combinatorial Optimization Method on Journal Rank Aggregation is accepted by Data Analysis and Knowledge Discovery.
• [2025.01] Global Top Journals List Across All Disciplines Successfully Launched 🎉, Proud to Have Participated.
• [2024.12] Our work Accounting Fraud Detection through Textual Risk Disclosures is accepted by Accounting & Finance.
• [2024.11] Our Science Popularization Volunteer Program, launched in 2022, has received continued funding from the University of Chinese Academy of Sciences Education Foundation for the period from January 2025 to December 2026.
• [2024.10] Our work Hierarchy-Aware Adaptive Graph Neural Network is accepted by IEEE TKDE 🎉.
• [2024.08] I have arrived in Hong Kong to begin my joint Ph.D. program at CityU.
• [2024.08] Our work received the Best Paper Award at ITQM 2024.

Selected Papers

1. Wu Dengsheng, Wu Huidong, Li Jianping. Hierarchy-Aware Adaptive Graph Neural Network. IEEE Transactions on Knowledge and Data Engineering (TKDE). https://doi.org/10.1109/TKDE.2024.3485736
2. Wu Dengsheng, Wu Huidong & Li Jianping (2024). Citation advantage of positive words: predictability, temporal evolution, and universality in varied quality journals. Scientometrics. https://doi.org/10.1007/s11192-024-05074-4