معرفی
Wei Hu is a full Professor and Ph.D. supervisor in the Department of Computer Science and Technology at Nanjing University, China. He earned his Ph.D. and B.S. from Southeast University in 2009 and 2005, respectively, and joined Nanjing University faculty in 2009. He has held visiting positions at Stanford University (2014-2015), University of Texas at Arlington (2016-2017), and University of Toronto (2017) as a visiting scholar/professor.
Research Interests focus on
- Knowledge Graphs: Representation learning, foundation models, and error detection
- Databases: Entity alignment, crowdsourcing, and blockchain integration
- Digital Medicine: Collaboration with Nanjing University's National Institute of Health Data Science
Publication Trends show expertise in knowledge graph reasoning, federated learning, and biomedical applications. Recent works include in-context learning for graph reasoning and blockchain-based data fusion systems.
Scientific Awards include
- Huawei 2025 Challenges Spark Award
- ASE 2024 Distinguished Paper Award
- CHIP 2021 Best Paper Award
- CCKS 2018 Best English Paper Award
- Nanjing University Study Abroad Program Awardee (2013)
- IBM China Excellent Student (2008)
Advising involves leading the Knowledge Fusion Group at Nanjing University, mentoring 18 current and former Ph.D. and Master's students. Professional services include editorial roles at Transactions on Graph Data and Knowledge and Big Data Research, plus committee memberships in CCF, CIPSC, and JSCS.
