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Xiaowei Li

Time:2015-11-25 11:25 Author:Shuting Sun Hits:

 

Xiaowei Li

Xiaowei Li, Associate Professor , Ph.D
Address: No.222 , TianShui Road(south) ,ChengGuan District,LanZhou City, GanSu Province, China
Zip Code: 730000
Telephone: (+86931) 8912778
E-mail: Lixwei@lzu.edu.cn

 

Research Interests
My research interests focus on Ubiquitous Computing and Data Mining. Specifically, I am very interested in: 1) The role of Bio-signals in emotion recognition. 2) The application of data mining method in the field of bio-signals processing.3) HCI.

Projects
1. Variation and mechanism of operating capability of astronauts in long-term space flight (funded by 973 Program Project of China) : Project number:2011CB71100X.
2. Online Predictive Tools for Intervention in Mental Illness (OPTIMI) (funded by the EU Framework Seven Project) FP7-ICT-2009-4) Project number:248544
3. Pervasive Computing Context Awareness on Bioelectrical signal(funded by National Science Foundation of China) Project number:60973138
4. Modelling of web user’s affect features based on bio-signals (funded by Lanzhou University) Project number:860535
5. Reseach on alarming theory of potential depression risk and key technology of bio-sensing based on biological and psychological multimodal information(funded by 973 Program Project of China)
6. Variation and mechanism of operating capability of astronauts in long-term space flight (funded by 973 Program Project of China)
7. Research on key problems of pervasive psychological intervention based on Biological information feedback (funded by International (regional) cooperation projects of National Science Foundation of China)


Publication
1) Xiaowei Li, Bin Hu, Tingshao Zhu, Jingzhi Yan, Fang Zheng, Towards Affective Learning with an EEG Feedback Approach, 2009 ACM International Conference on Multimedia Compilation
E-Proceedings, 33-38. (EI)
2) Xiaowei Li, Bin Hu, Qinglin Zhao, Li Liu, Hong Peng, Yanbing Qi, Chengsheng Mao. Improve Affective Learning With EEG Approach. Computing and Informatics, Vol.29, 2010, p.557-570. (SCI)
3) Li X, Hu B, Xu T, et al. A study on EEG-based brain electrical source of mild depressed subjects[J]. Computer methods and programs in biomedicine, 1 2 0 ( 2 0 1 5 ) 135–141. (SCI)
4) Li X, Hu B, Shen J, et al. Mild Depression Detection of College Students: an EEG-Based Solution with Free Viewing Tasks, Journal: Journal of Medical Systems OI: 10.1007/s10916-015-0345-9 (In press) (SCI)
5) Yan, J., Hu, B., Zhang, H., Zhu, T., & Li, X. Forbidden subgraph and perfect path-matchings. (2009) The 1th IEEE Symposium on Web Society, 23-24, August, 2009, Lanzhou, China. IEEE Press. (SCI)
6) Zhu, T. - Hu , B. - Yan, J. - Li, X.Semi-Supervised Learning for Personalized Web Recommender System.Computing and Informatics, Vol.29, 2010, p. 617-627. (SCI)
7) Li Xiaowei, Li Haibo, Li Yongli, Lin He. Reduction Algorithm and Directed Graph. Proceeding of the 11th Joint International Computer conference, World Scientific Publishing.625-628. 10,2005. (EI)
8) Li, Xiaowei; Hu, Bin; Dong, Qunxi; Campbell, William; Moore, Philip; Peng, Hong. EEG-based attention recognition. Proceedings - 2011 6th International Conference on Pervasive Computing and Applications, ICPCA 2011, p 196-201. (EI)
9) Li, Y. and Li, X. and Ratcliffe, M. and Liu, L. and Qi, Y. and Liu, Q., (2011) A real-time EEG-based BCI System for attention recognition in ubiquitous environment, Proceedings of 2011 international workshop on Ubiquitous affective awareness and intelligent interaction, Ubicomp 2011 pp.33-39. (EI)
10) Dong, Q., Hu, B., Zhang, J., Li, X., & Ratcliffe, M. (2013, August). A study on visual attention modeling—A linear regression method based on EEG. InNeural Networks (IJCNN), The 2013 International Joint Conference on (pp. 1-6). IEEE. (EI)
11) Zhao G, Hu B, Li X, et al. A Pervasive Stress Monitoring System Based on Biological Signals[C]//Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on. IEEE, 2013: 530-534. (EI)
12) Li B, Hu B, Li X, et al. A Study on Attention Allocation of Psychological Distress Students Based on Eye Movement Data Analysis[M]//Human Centered Computing. Springer International Publishing, 2015: 104-114. (EI)
13) Wan J, Hu B, Li X. EEG: A Way to Explore Learner’s Affect in Pervasive Learning Systems[M]//Advances in Grid and Pervasive Computing. Springer Berlin Heidelberg, 2010: 109-119. (EI)