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Faculty

Hao Wang Professor

Research Interests: 
  • Dr. Wang studies how humans acquire a language, and focuses specifically on how they solve two problems:
  • 1) How do learners identify the elements and structures of a language from a linear sequence of sounds?
  • 2) How do they map these elements, and their structure, onto the world so as to identify their meaning?
Bio: 

Dr. Felix Wang is a Professor at the School of Psychology in Nanjing Normal University (NJNU). Prior to coming to NJNU, Dr. Wang was an Assistant Professor at the University of Nevada, Las Vegas, following a post-doctoral fellowship at the University of Pennsylvania.

Journal Articles

Wang, F. H., Luo, M., & Wang, S. (2023). Perceptual intake explains variability in statistical word segmentation. Cognition, 241, 105612.

Wang, F. H., Luo, M., & Wang, S. (2023). Statistical word segmentation succeeds given the minimal amount of exposure. Psychonomic Bulletin & Review, 1-9.

Wang, F. H., Wang, F. H., Luo, M., & Li, N. (2023). Four‐and six‐year‐old children track a single meaning with both familiar and unfamiliar referents when the referent is clear: More evidence for propose‐but‐verify. Developmental Science, e13441.

Wang, F. H., & Kaiser, E. (2022). Linguistic Priming and Learning Adjacent and Non-Adjacent Dependencies in Serial Reaction Time Tasks. Language Learning.

Wang, F. H. & Trueswell, J. C. (2022). Being Suspicious of Suspicious Coincidences: The Case of Learning Subordinate Word Meanings. Cognition, 224, 105028.

Wang, F. H. (2020). Explicit and implicit memory representations in cross-situational word learning. Cognition, 104, 104444.

Wang, F. H., Zevin, J. D., Trueswell, J. C., & Mintz, T. H. (2020). Top-down grouping affects adjacent dependency learning. Psychonomic Bulletin & Review, 27(5), 1052-1058.

Wang, F. H., & Trueswell, J. C. (2019). Spotting Dalmatians: Children’s ability to discover subordinate-level word meanings cross-situationally. Cognitive Psychology, 114, 101226.

Wang, F. H., Zevin, J., & Mintz, T. H. (2019). Successfully learning non-adjacent dependencies in a continuous artificial language stream. Cognitive Psychology, 113, 101223.

Wang, F. H., Hutton, E. A., & Zevin, J. D. (2019). Statistical Learning of Unfamiliar Sounds as Trajectories Through a Perceptual Similarity Space. Cognitive Science, 43(8), e12740.

Wang, F. H., & Mintz, T. H. (2018). The role of reference in cross-situational word learning. Cognition, 170, 64-75.

Wang, F. H., & Mintz, T. H. (2018). Learning non-adjacent dependencies embedded in sentences of an artificial language: When learning breaks down. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(4), 604.

Wang, F. H., Zevin, J. D., & Mintz, T. H. (2017). Top-down structure influences learning of nonadjacent dependencies in an artificial language. Journal of Experimental Psychology: General, 146(12), 1738.

Wang, F. H. & Mintz, T. H. (2016). Language acquisition is model-based rather than model-free. Behavioral and Brain Sciences, 39.

 

Contact: wanghao2256511@gmail.com