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

• [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.
• [2024.08] I will be attending the Fifth Annual Academic Conference of the Risk Management Branch, the Chinese Society of Optimization, Overall Planning, and Economic Mathematics. August 1-3 @Shanghai
• [2024.06] Our work was recognized as an Outstanding Paper at the 16th Annual Conference on Decision Sciences in China.
• [2024.06] Our work Integration of Multi-Source Scientific Categorization Labels is accepted by ITQM 2024.
• [2024.06] I will be attending the 16th Annual Conference on Decision Sciences in China. June 28-30 @Qinhuangdao
• [2024.05] Our work Citation Advantage of Positive Words is accepted by Scientometrics.

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