LI Yuchen
Full-time Faculty
Associate Professor of Computer Science
School of Computing and Information Systems
SCIS
Qualification
- PhD, National University of Singapore, 2017
Teaching Topics
- Data Management
Research Advisor/Co-Research Advisor to
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsLI Yuchen is a leading researcher in large-scale graph analytics, GPU-accelerated data processing, and influence maximization, with significant contributions to both foundational theory and real-world applications in data management and social networks.
Bridges methodological advances in graph analytics and GPU computing with impactful applications in fraud detection, social influence analysis, and knowledge discovery; recognized for scalable, efficient, and robust algorithms; strong record of interdisciplinary collaboration and leadership in large research grants; active in both theoretical and applied data science communities.
Focused research areas include Concurrent graph query processing on heterogeneous architectures; scalable algorithms for subgraph counting and community detection; robustness and fairness in network diffusion; knowledge graph mining for outstanding fact discovery; GPU-based graph analytics; influence maximization in dynamic and attributed networks.
Bridges methodological advances in graph analytics and GPU computing with impactful applications in fraud detection, social influence analysis, and knowledge discovery; recognized for scalable, efficient, and robust algorithms; strong record of interdisciplinary collaboration and leadership in large research grants; active in both theoretical and applied data science communities.
Focused research areas include Concurrent graph query processing on heterogeneous architectures; scalable algorithms for subgraph counting and community detection; robustness and fairness in network diffusion; knowledge graph mining for outstanding fact discovery; GPU-based graph analytics; influence maximization in dynamic and attributed networks.
Areas of Expertise
Large-scale graph analyticsGPU-accelerated data processinggraph neural networksinfluence maximizationsocial network analysisdata managementsubgraph enumerationknowledge graph miningreal-time and dynamic graph algorithms.
Past Awarded Grant
- CONQUEROR: CONcurrent graph QUERy processing on CPU-GPU heterOgenous architecture, Academic Research Fund (AcRF) Tier 2, Ministry of Education (MOE), PI (Project Level): LI Yuchen, 2020, S$547,680
- Next-Gen Competitive Intelligence: Automated Discovery of Outstanding Facts with Large Language Models, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): LI Yuchen, Co-PI (Project Level): DAI Bing Tian, 2024, S$200,000
- PPS: A Personalized Platform for Summarizing Social Media Stream, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): LI Yuchen, 2018, S$99,386.34
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- J Jiang, S Yao, Y Chen, B He, Y Niu, Y Li, S Sun, Y LiuProceedings of the ACM on Management of Data 3 (3), 1-27, 2025
- Dupin: A parallel framework for densest subgraph discovery in fraud detection on massive graphs [2025]J Jiang, S Yao, Y Li, Q Wang, B He, M ChenProceedings of the ACM on Management of Data 3 (3), 1-26, 2025
- S Gao, S Lu, S Sun, Y Li, B He2025 IEEE 41st International Conference on Data Engineering (ICDE), 1015-1028, 2025
- Y Niu, Y Li, P Karras, Y Wang2025 IEEE 41st International Conference on Data Engineering (ICDE), 3003-3016, 2025
- Y Shi, Z Li, X Pan, Y Chen, B Zhou, H Xu, W Ma, Y Li, S HuCompanion Proceedings of the ACM on Web Conference 2025, 2907-2910, 2025
- D Ding, Z Li, J Zhang, X Liu, J Zhang, Y Li, P Cai, JX Liu, G LongProceedings of the ACM on Web Conference 2025, 5045-5053, 2025
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, National University of Singapore, 2017
Teaching Topics
- Data Management