SUN Qianru
Full-time Faculty
Associate Professor of Computer Science; Lee Kong Chian Fellow
School of Computing and Information Systems
SCIS
Qualification
- PhD, Peking University, 2016
Teaching Topics
- Data Management
Research Advisor/Co-Research Advisor to
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsSUN Qianru is an internationally recognized researcher in computer vision, machine learning, and AI, specializing in continual learning, multimodal understanding, and foundation models, with impactful contributions to both theoretical advances and real-world applications.
SUN Qianru bridges methodological innovation in continual learning, multimodal AI, and causal inference with practical impact in remote sensing, healthcare, and urban analytics; her work is distinguished by rigorous theoretical development, scalable algorithms, and successful deployment in real-world systems, emphasizing interpretability, adaptability, and cross-disciplinary collaboration.
Focused research areas include Continual and class-incremental learning; multimodal and foundation models; vision-language navigation; weakly-supervised semantic segmentation; diffusion models for visual relation detection; causal and interventional training; domain adaptation; generative and discriminative learning for large language models; remote sensing imagery analysis.
SUN Qianru bridges methodological innovation in continual learning, multimodal AI, and causal inference with practical impact in remote sensing, healthcare, and urban analytics; her work is distinguished by rigorous theoretical development, scalable algorithms, and successful deployment in real-world systems, emphasizing interpretability, adaptability, and cross-disciplinary collaboration.
Focused research areas include Continual and class-incremental learning; multimodal and foundation models; vision-language navigation; weakly-supervised semantic segmentation; diffusion models for visual relation detection; causal and interventional training; domain adaptation; generative and discriminative learning for large language models; remote sensing imagery analysis.
Areas of Expertise
Computer VisionMachine LearningArtificial Intelligence
Past Awarded Grant
- Weakly-supervised Semantic Segmentation and Its Applications in SAR Images, DSO National Laboratories (DSO), PI (Project Level): SUN Qianru, 2022, S$343,999.5
- Task-Specific Data Augmentation in Class-Incremental Learning Systems, Alibaba Innovative Research (AIR) Programme, Alibaba DAMO Academy (Hangzhou) Technology, PI (Project Level): SUN Qianru, 2021, S$119,302
- Fast-Adapted Neural Networks for Advanced AI Systems, AME Individual Research Grants/Young Individual Research Grants, Agency for Science, Technology and Research (A*STAR), PI (Project Level): SUN Qianru, 2020, S$265,584
- Automated Deep Neural Network Initiation by Meta-Learning, Alibaba Innovative Research (AIR) Programme, Alibaba Cloud (Singapore), PI (Project Level): SUN Qianru, 2019, S$121,572
- imSAM: An Interactive Medical Segment Anything Model, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): SUN Qianru, 2025, S$150,000
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- B Zhu, K Zhao, J Cui, Q Sun, Y Zhou, X Yang, H ZhangarXiv preprint arXiv:2602.00205, 2026
- K Zhao, J Shi, B Zhu, J Zhou, X Shen, Y Zhou, Q Sun, H ZhangarXiv preprint arXiv:2510.08131, 2025
- J Ying, M Lin, Q Sun, Y CaoarXiv preprint arXiv:2509.23933, 2025
- Z Luo, Z Tian, Y Liu, Q SunNeurocomputing, 131519, 2025
- L Zhao, Z Tian, P Zou, R Hong, Q SunIEEE Transactions on Multimedia, 2025
- Y Cao, S Hong, X Li, J Ying, Y Ma, H Liang, Y Liu, Z Yao, X Wang, ...arXiv preprint arXiv:2504.18838, 2025
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, Peking University, 2016
Teaching Topics
- Data Management