Academic Qualification

Ph.D. in Pattern Recognition and Intelligent Systems, University of Chinese Academy of Sciences, China

M.S. in Opto-electronic Engineering, Hefei University of Technology, China

B.S. in Optical Information Science and Technology, Hefei University of Technology, China

Teaching Area

• Digital Image Processing

• Computer Vision

Research Area

• Embodied AI and Robotics

• Multi-Agent Interaction and Collaboration

• Dynamic 3D Scene Reconstruction, Generation and Editing

• Video Understanding and Analysis

• Multimodal Learning

• AI in Medicine

Working Experience

• Mar. 2021 - Present, Assistant Professor, School of Computer Science and Engineering, Macau University of Science and Technology.

• Mar. 2018 – Mar. 2021, Director of Computer Vision R&D, Long gang Institutes of Intelligent Video and Audio Technology, Shenzhen, China.

• Sep. 2015 – Mar. 2018, Post-doctoral Researcher, Peking University.

Academic Publication (selected)

1. Chaomiao Wang, Songqi Zhang, Yongquan Zhang, Yifei Wang, Liya Liu and Nannan Li, “USCNet: Transformer-based Multimodal Fusion with Segmentation Guidance for Urolithiasis Classification ”, IEEE Journal of Biomedical and Health Informatics, 2025.

2. Kan Huang, Nannan Li and Zhijing Xu, “Learning Global-view Correlation for Salient Object Detection in 3D Point Clouds”, Neural Networks, 2025.

3. Kuo Li, Wei Jin, Nannan Li, Kan Huang, “DEPTH: Disentangled Embeddings and Priors via Two-stage Heterogeneous Fusion”, Expert Systems with Applications, 2025.

4. Zhenjin Zhang, Nannan Li, Wenmin Wang, Huiwen Guo, Wei Jin and Sudan Huang, “Causality Thinking for Large-scale Long-tailed Video Action Recognition”, Engineering Applications of Artificial Intelligence, 2025.

5. Fan Fan, Yang Zhao, Yuan Chen, Nannan Li, Wei Jia and Ronggang Wang, “Local Texture Pattern Estimation for Image Detail Super-Resolution”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

6. Kan Huang, Nannan Li, Jiarong Huang and Chunwei Tian, “Exploiting Memory-based Cross-image Contexts for Salient Object Detection in Optical Remote Sensing Images”, IEEE Transactions on Geoscience and Remote Sensing, 2024.

7. Kan Huang, Chunwei Tian, Zhijing Xu, Nannan Li and Jerry Chun-Wei Lin, "Motion Context guided Edge-preserving Network for Video Salient Object Detection", Expert Systems with Applications, 2023.

8. Qingtian Wu, Nannan Li, Liming Zhang and Fei Richard Yu, “Driver Drowsiness Detection Based on Joint Human Face and Facial Landmark Localization With Cheap Operations”, IEEE Transactions on Intelligent Transportation Systems, 2023.

9. Jingjia Huang, Nannan Li, Thomas Li, Shan Liu and Ge Li, "Spatial-Temporal Context-Aware Online Action Detection and Prediction", IEEE Transactions on Circuits and Systems for Video Technology, 2019.

10. Jia-xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H.Li, and Ge Li, "Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection", International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

11. Jingjia Huang, Zhangheng Li, Nannan Li, Shan Liu and Ge Li, "AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism", International Conference on Computer Vision (ICCV), 2019.

12. Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao, "SAP: Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning," In AAAI Conference on Artificial Intelligence (AAAI), 2018.

13. Jingjia Huang, Nannan Li, Jiaxing Zhong, Thomas Li, and Ge Li, "Online Action tube Detection via Resolving the Spatio-temporal Context Pattern", ACM Multimedia, 2018.

14. Jia-xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas Li and Ge Li, "Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector", ACM Multimedia, 2018.

Patents

• ZL 2018 1 1298483.2, “An active video behavior detection system and method based on deep reinforcement learning”.

• ZL 2018 1 1298487.0, “An online video behavior detection method based on spatiotemporal context analysis”.

• ZL 2018 1 1298485.1, “A video behavior detection method based on shape-motion dual-stream information fusion”.

Student Awards

• Awarded the National First Prize in the 2025 (12th) National College Students' IoT Design Competition, advancing to the National Top 6.

• Awarded the National Third Prize at the 2025 (8th) National College Students' Embedded Chip and System Design Competition.