1. Video Action Recognition and Understanding
2. Multi-modal Video Analysis and Retrieval
3. Video Generation from Text and Image
4. Medical Image Recognition and Processing
5. Data Mining and Analysis in Medicine and Healthcare

1. 2001 – 2004, Ph.D., Department of Electronic Engineering, Northwestern Polytechnical University
2. 1999 – 2001, M.Eng., Department of Electronic Engineering, Northwestern Polytechnical University
3. 1995 – 1999, B.Eng., Department of Electronic Engineering, Northwestern Polytechnical University

1. 2006 – present, Associate Professor, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2. 2004 – 2006, Senior Research Associate, School of Creative Media, City University of Hong Kong

1. Guan Luo, Shuang Yang, Guodong Tian, Chunfeng Yuan, Weiming Hu, Stephen J. Maybank: Learning Human Actions by Combining Global Dynamics and Local Appearance. IEEE Trans. Pattern Anal. Mach. Intell.(TPAMI) 36(12): 2466-2482 (2014)(Featured Paper)
2. Guan Luo, Jiutong Wei, Weiming Hu, Stephen J. Maybank: Tangent Fisher Vector on Matrix Manifolds for Action Recognition. IEEE Trans. Image Processing(TIP) 29: 3052-3064 (2020)
3. ​Zongyang Ma, Guan Luo, Jin Gao, Liang Li, Yuxin Chen, Shaoru Wang, Congxuan Zhang and Weiming Hu: Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2022)
4. Jiutong Wei, Guan Luo, Bing Li, Weiming Hu: Inter-intra Cross-modality Self-supervised Video Representation Learning by Contrastive Clustering. 2022 International Conference on Pattern Recognition (ICPR2022).
5. Ge F, Zheng A, Wan M, Luo G and Zhang J (2021) Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis. Front. Psychiatry 12:591656.
6. Chaochen Wu, Guan Luo, Chao Guo, Yin Ren, Anni Zheng, Cheng Yang: An attention-based multi-task model for named entity recognition and intent analysis of Chinese online medical questions. J. Biomed. Informatics 108: 103511 (2020)
7. Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu: Semi-interactive Attention Network for Answer Understanding in Reverse-QA. PAKDD (2) 2019: 3-15
8. Haoran Wang, Chunfeng Yuan, Guan Luo, Weiming Hu, Changyin Sun: Action recognition using linear dynamic systems. Pattern Recognition 46(6): 1710-1718 (2013)
9. Guan Luo, Weiming Hu: Learning silhouette dynamics for human action recognition. ICIP 2013: 2832-2836 (Oral)
10. Juntian Lin,Guan Luo, Zhu Zhan, Xiaoyao Guan, A deep learning approach to mining the relationship of depression symptoms and treatments for prediction and recommendation. International Conference on Information Science and Applications (ICISA): 2018, pp. 413-422. 
11. You Qiang, Wu Ou,Luo Guan, Hu Weiming. A probabilistic matrix factorization method for link sign prediction in social networks. International Conference on Machine Learning and Data Mining in Pattern Recognition (ICMLDM): 2016, pp. 415-420.
12. You Qiang, Wu Ou,Luo Guan, Hu Weiming. Metadata-based clustered multi-task learning for thread mining in web communities. International Conference on Machine Learning and Data Mining in Pattern Recognition (ICMLDM): 2016, pp.421-434.
13. Yang Libao, Li Zhe,Luo Guan. MH-ARM: A multi-mode and high-value association rule mining technique for healthcare data analysis. International Conference on Computational Science and Computational Intelligence (ICCSCI): 2016, pp. 122-127.

1. A spatio-temporal feature extraction method based on linear dynamical system. SIPO China, 201410363723.8
2. A similarity measurement based on linear dynamical system. SIPO China, 201410427511.1
3. A primitive database for video classification. SIPO China, 201410578801.6
4. A key frame extraction method based on linear dynamical system. SIPO China, 201410578831.7

1. 2015 – present, Clustering massive online health records for precision treatment, supported by Beijing Haola Technology Co., Ltd.
2. 2013 – 2016, Motion pattern mining by linear dynamical systems, supported by National Natural Science Foundation of China (NSFC)
3. 2008 – 2010, Motion pattern mining based on sparse spatio-temporal features, supported by National Natural Science Foundation of China (NSFC)