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Qiufang Fu. Associate Professor
 
 
  • Name: Qiufang Fu
  • Office Address: 16 Lincui Road, Chaoyang District, Beijing 100101, China 100101
  • TEL: 010-64845395
  • FAX: 010-64872070
  • E-MAIL: fuqf@psych.ac.cn
 
 
Research interests
l    Implicit learning
l    Unconscious knowledge
l    Subliminal perception

Grants
1. 2016.1-2019.12 "Neurocognitive mechanisms for implicit learning of crossmodal predictions" , Sub-Project of a grant funded by the National Natural Science Foundation of China and National Natural Science (NSFC 61621136008/DFG TRR-169), principle investigator.
2. 2013-2016"The cognitive and neural mechnism of implicit category learning", Fund by the National Natural Science Foundation of China (31270024), principle investigator.
3. 2010-2012 "Learning from doing---the emergence of unconscious knowledge in implicit learning and its neural correlates",  Young Scientists Fund by the National Natural Science Foundation of China (30900395), principle investigator.
 
 
 
 

Employment

2/2010–present                  Assistant professor, Institute of Psychology, Chinese Academy of Sciences

9/2008 – 9/2009                Visiting scholar in School of Psychology, University of Sussex

7/2006–2/2010                  Assistant professor, Institute of Psychology, Chinese Academy of Sciences

Education

9/2003 – 7/2006                Ph.D.     Cognitive Psychology, Institute of Psychology, CAS

(Advisor: Xiaolan Fu)

9/2000 – 7/2003                M. S.     Cognitive Psychology, Shandong Normal University

(Advisor: Yongfang Liu)

9/1996 – 7/2000                B. S.     Education, Qufu Normal University

 

 
 
1. Zhang, M., Fu, Q., Chen, Y-H, & Fu, X. (2018). Emotional context modulates micro-expression processing as reflected in event-related potentials. PsyCh Journal, DOI: 10.1002/pchj.196.
2. Fu, Q., Liu, Y. J., Dienes, Z., Wu, J., Chen, W., & Fu, X. (2017). Neural Correlates of Subjective Awareness for Natural Scene Categorization of Color Photographs and Line-Drawings. Frontiers in Psychology, 8:210.doi: 10.3389/fpsyg.2017.00210.
3. Li, K., Fu*, Q., Sun, X., Zhou, X., & Fu, X. (2016). Paired-associate and feedback-based weather prediction tasks support multiple category learning systems. Frontiers in Psychology, 7:1017. doi: 10.3389/fpsyg.2016.01017.
4. Fu*, Q., Liu, Y. J., Dienes, Z., Wu, J., Chen, W., & Fu, X. (2016). The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials. Consciousness and Cognition, 43, 152–166. doi: http://dx.doi.org/10.1016/j.concog.2016.06.008.
5. Yu, M., Liu, Y. J., Wang, S. J., Fu, Q., Fu, X. (2016). A PMJ-inspired cognitive framework for natural scene categorization in line drawings. Neurocomputing, 173, 2041–2048. DOI:10.1016/j.neucom.2015.09.046.
6. Liu, Y.,Yu, M., Fu, Q., Chen, W., Liu, Y., & Xie, L. (2016). Cognitive mechanism related to line drawings and its applications in intelligent processing of visual media: A Survey. Frontiers of Computer Science, 10(2), 216–232.
7. Fu, Q., Wang, J., Zhang, L., Yi, Z., & Fu*, X. (2015). Computational models of implicit sequence learning: Distinguishing abstract processes from chunking processes. In: Advances in Computational Psychophysiology (Science/AAAS, Washington, DC, 2015), p.22–24.
8. 李婷婷, 付秋芳*, 傅小兰. (2015). 大学生发散性思维与创造力倾向的相关研究. 中华行为医学与脑科学杂志, 24(2), 166- 168.
9. Liu*, Y. J., Yu, M., Fu, Q., Chen, W. F., Liu, Y., & Xie, L. (2014). Cognitive mechanism related to line drawings and its applications in intelligent process of
visual media: a survey. Front. Comput. Sci. 57: 032114(15), doi: 10.1007/s11432-013-4911-9.
10. Liu*, Y. J., Ma, C. X., Fu, Q., Fu, X., Qin, S. F., & Xie, L. (2014). A sketch-based approach for interactive organization of video clips. ACM Trans. Multimedia Comput. Commun. Appl., 11(1), Article 2, 21 pages. DOI: http://dx.doi.org/10.1145/2645643
11. Rohrmeier, Z., Dienes, X., Guo, X., & Fu, Q. (2014). Implicit learning and recursion. In: F. Lowenthal & L. Lefebvre (Eds), Language and Recursion, Springer Verlag, pp 67-85.
12. Zhang, M., Fu, Q., Chen, Y. H., & Fu*, X. (2014). Emotional context influences micro-expression recognition. PLoS ONE 9(4): e95018.
13. Fu*, Q., Dienes, Z., Shang, J., & Fu, X. (2013). Who Learns More? Cultural Differences in Implicit Sequence Learning. PLoS ONE 8(8): e71625. doi:10.1371/journal.pone.0071625
14. Shang, J., Fu*, Q., Dienes, Z., & Fu, X. (2013). Negative affects reduce performance in implicit sequence learning. PLoS ONE 8(1): e54693. doi:10.1371/journal.pone.0054693.
15. Fu*, Q., Bin, G., Dienes, Z., Fu, X, & Gao, X. (2013). Learning without consciously knowing: Evidence from event-related potentials in sequence learning. Consciousness and Cognition, 22, 22–34.
16. Liu*, Y. J., Fu, Q., Liu , Y., & Fu, X. (2013). A distributed computational cognitive model for object recognition. Science in China (Series F: Information Sciences), 56(9), 1–13.
17. Liu*, Y. J., Fu, Q., Liu, Y., & Fu, X. (2012). 2D-line-drawing-based 3D object recognition. Lecture Notes in Computer Science, 7633, 146–153.
18. Rohrmeier*, M., Fu, Q., & Dienes, Z. (2012). Implicit learning of recursive, hierarchical grammatical structures. PLoS ONE 7(10): e45885. doi:10.1371/journal.pone.0045885.
19. Li, K., Fu*, Q., & Fu, X. (2012). Cognitive neural mechanism of probabilistic category learning. Progress in Biochemistry and Biophysics, 39(11), 1037–1044. (in Chinese)
20. Fu*, Q., Dienes, Z., & Fu, X. (2010). The distinction between intuition and guessing in the SRT task generation: A reply to Norman and Price. Consciousness and Cognition, 19, 478-480.
21. Fu*, Q., Dienes, Z., &Fu, X. (2010). Can unconscious knowledge allow control in sequence learning? Consciousness and Cognition, 19, 462-474.
22. 陈文锋,禤宇明,刘烨,傅小兰,付秋芳. (2009). 创伤后应激障碍的认知功能缺陷与执行控制:5.12震后创伤恢复的认知基础. 心理科学进展, 17, 610-615.
23. Liu, Y., Fu, Q., & Fu*, X. (2009). The interaction between cognition and emotion. Chinese Science Bulletin, 54, 4102-4116.
24. Fu, Q., Fu*, X., & Dienes, Z. (2008). Implicit sequence learning and conscious awareness. Consciousness and Cognition, 17, 185-202.
25. Fu*, Q., & Fu, X. (2010). The effects of secondary task on implicit sequence learning. Psychological Science, 19, 462-474. (In Chinese)
26. Fu, Q., & Fu*, X. (2006). Relationship between implicit sequence learning and attention. Advances in Psychological Science, 14, 817-821. (In Chinese)
27. Fu, Q., & Fu*, X. (2006). Relationship between representations and consciousness in implicit learning. Advances in Psychological Science, 14, 18-22. (In Chinese)
28. Fu, Q., & Fu*, X. (2005). The effects of exemplar quantity on implicit sequence learning. Psychological Science, 28, 801-805. (In Chinese)
29. Fu, Q., & Liu*, Y. (2004). The effects of implicit learning on sequence learning. Psychological Science, 27, 1107-1111. (In Chinese)
30. Fu, Q., Liu*, Y., & Fu, X. (2004). The effects of type and feature of knowledge on implicit sequence learning. Acta Psychologica Sinica, 36, 525-533. (In Chinese).
31. Fu, Q., & Liu*, Y. (2003). Some new development in the research of implicit learning mechanism. Advances in Psychological Science, 11, 405-410. (In Chinese)

 

 
 
 
 

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