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Chen Yu [27]Chengfu Yu [8]ChengJiang Yu [1]Chengjiu Yu [1]
Chengtao Yu [1]
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Chen Yu
NanJing University
  1.  27
    Infants Rapidly Learn Word-Referent Mappings Via Cross-Situational Statistics.Linda Smith & Chen Yu - 2008 - Cognition 106 (3):1558-1568.
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  2.  54
    Embodied Attention and Word Learning by Toddlers.Chen Yu & Linda B. Smith - 2012 - Cognition 125 (2):244-262.
  3.  43
    Competitive Processes in Cross‐Situational Word Learning.Daniel Yurovsky, Chen Yu & Linda B. Smith - 2013 - Cognitive Science 37 (5):891-921.
    Cross-situational word learning, like any statistical learning problem, involves tracking the regularities in the environment. However, the information that learners pick up from these regularities is dependent on their learning mechanism. This article investigates the role of one type of mechanism in statistical word learning: competition. Competitive mechanisms would allow learners to find the signal in noisy input and would help to explain the speed with which learners succeed in statistical learning tasks. Because cross-situational word learning provides information at multiple (...)
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  4.  6
    Modeling Cross-Situational Word–Referent Learning: Prior Questions.Chen Yu & Linda B. Smith - 2012 - Psychological Review 119 (1):21-39.
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  5.  22
    The Unrealized Promise of Infant Statistical Word–Referent Learning.Linda B. Smith, Sumarga H. Suanda & Chen Yu - 2014 - Trends in Cognitive Sciences 18 (5):251-258.
  6.  16
    Sensation Seeking, Deviant Peer Affiliation, and Internet Gaming Addiction Among Chinese Adolescents: The Moderating Effect of Parental Knowledge.Yunlong Tian, Chengfu Yu, Shuang Lin, Junming Lu, Yi Liu & Wei Zhang - 2019 - Frontiers in Psychology 9.
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  7.  15
    The Role of Embodied Intention in Early Lexical Acquisition.Chen Yu, Dana H. Ballard & Richard N. Aslin - 2005 - Cognitive Science 29 (6):961-1005.
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  8.  69
    Actively Learning Object Names Across Ambiguous Situations.George Kachergis, Chen Yu & Richard M. Shiffrin - 2013 - Topics in Cognitive Science 5 (1):200-213.
    Previous research shows that people can use the co-occurrence of words and objects in ambiguous situations (i.e., containing multiple words and objects) to learn word meanings during a brief passive training period (Yu & Smith, 2007). However, learners in the world are not completely passive but can affect how their environment is structured by moving their heads, eyes, and even objects. These actions can indicate attention to a language teacher, who may then be more likely to name the attended objects. (...)
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  9.  8
    Adaptive Neural Output Feedback Control for Uncertain Robot Manipulators with Input Saturation.Rong Mei & ChengJiang Yu - 2017 - Complexity 2017:1-12.
    This paper presents an adaptive neural output feedback control scheme for uncertain robot manipulators with input saturation using the radial basis function neural network and disturbance observer. First, the RBFNN is used to approximate the system uncertainty, and the unknown approximation error of the RBFNN and the time-varying unknown external disturbance of robot manipulators are integrated as a compounded disturbance. Then, the state observer and the disturbance observer are proposed to estimate the unmeasured system state and the unknown compounded disturbance (...)
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  10.  25
    Tracking Multiple Statistics: Simultaneous Learning of Object Names and Categories in English and Mandarin Speakers.Chi-Hsin Chen, Lisa Gershkoff-Stowe, Chih-Yi Wu, Hintat Cheung & Chen Yu - 2017 - Cognitive Science 41 (6):1485-1509.
    Two experiments were conducted to examine adult learners' ability to extract multiple statistics in simultaneously presented visual and auditory input. Experiment 1 used a cross-situational learning paradigm to test whether English speakers were able to use co-occurrences to learn word-to-object mappings and concurrently form object categories based on the commonalities across training stimuli. Experiment 2 replicated the first experiment and further examined whether speakers of Mandarin, a language in which final syllables of object names are more predictive of category membership (...)
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  11.  20
    Peer Victimization and Aggressive Behavior Among Chinese Adolescents: Delinquent Peer Affiliation as a Mediator and Parental Knowledge as a Moderator.Shuang Lin, Chengfu Yu, Weiqi Chen, Yunlong Tian & Wei Zhang - 2018 - Frontiers in Psychology 9.
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  12.  12
    Mutual Exclusivity in Crosssituational Statistical Learning.Daniel Yurovsky & Chen Yu - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 715--720.
  13.  13
    Father–Child Longitudinal Relationship: Parental Monitoring and Internet Gaming Disorder in Chinese Adolescents.Binyuan Su, Chengfu Yu, Wei Zhang, Qin Su, Jianjun Zhu & Yanping Jiang - 2018 - Frontiers in Psychology 9.
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  14.  20
    Forms of Aggression, Peer Relationships, and Relational Victimization Among Chinese Adolescent Girls and Boys: Roles of Prosocial Behavior.Shujun Wang, Wei Zhang, Dongping Li, Chengfu Yu, Shuangju Zhen & Shihua Huang - 2015 - Frontiers in Psychology 6.
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  15.  27
    Sensation Seeking and Online Gaming Addiction in Adolescents: A Moderated Mediation Model of Positive Affective Associations and Impulsivity.Jianping Hu, Shuangju Zhen, Chengfu Yu, Qiuyan Zhang & Wei Zhang - 2017 - Frontiers in Psychology 8.
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  16.  14
    Exposure to Community Violence, Affiliations With Risk-Taking Peer Groups, and Internet Gaming Disorder Among Chinese Adolescents: The Moderating Role of Parental Monitoring.Qiao Liang, Chengfu Yu, Quanfeng Chen, Xiaodong Xie, Han Wu, Jintao Xing, Shihua Huang & Kai Dou - 2019 - Frontiers in Psychology 10.
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  17.  66
    Temporal Sequences Quantify the Contributions of Individual Fixations in Complex Perceptual Matching Tasks.Thomas Busey, Chen Yu, Dean Wyatte & John Vanderkolk - 2013 - Cognitive Science 37 (4):731-756.
    Perceptual tasks such as object matching, mammogram interpretation, mental rotation, and satellite imagery change detection often require the assignment of correspondences to fuse information across views. We apply techniques developed for machine translation to the gaze data recorded from a complex perceptual matching task modeled after fingerprint examinations. The gaze data provide temporal sequences that the machine translation algorithm uses to estimate the subjects' assumptions of corresponding regions. Our results show that experts and novices have similar surface behavior, such as (...)
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  18.  14
    Multiple Sensory‐Motor Pathways Lead to Coordinated Visual Attention.Chen Yu & Linda B. Smith - 2017 - Cognitive Science 41 (S1):5-31.
    Joint attention has been extensively studied in the developmental literature because of overwhelming evidence that the ability to socially coordinate visual attention to an object is essential to healthy developmental outcomes, including language learning. The goal of this study was to understand the complex system of sensory-motor behaviors that may underlie the establishment of joint attention between parents and toddlers. In an experimental task, parents and toddlers played together with multiple toys. We objectively measured joint attention—and the sensory-motor behaviors that (...)
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  19.  6
    Characterizing Human Expertise Using Computational Metrics of Feature Diagnosticity in a Pattern Matching Task.Thomas Busey, Dimitar Nikolov, Chen Yu, Brandi Emerick & John Vanderkolk - 2017 - Cognitive Science 41 (7):1716-1759.
    Forensic evidence often involves an evaluation of whether two impressions were made by the same source, such as whether a fingerprint from a crime scene has detail in agreement with an impression taken from a suspect. Human experts currently outperform computer-based comparison systems, but the strength of the evidence exemplified by the observed detail in agreement must be evaluated against the possibility that some other individual may have created the crime scene impression. Therefore, the strongest evidence comes from features in (...)
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  20. The Active Role of Partial Knowledge in Cross-Situational Word Learning.Daniel Yurovsky, Damian Fricker, Chen Yu & Linda B. Smith - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
     
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  21. Simultaneous Cross-Situational Learning of Category and Object Names.Tarun Gangwani, George Kachergis & Chen Yu - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1595--1600.
     
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  22. Cross-Situational Statistical Learning: Implicit or Intentional.George Kachergis, Chen Yu & Richard M. Shiffrin - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1189--1194.
  23.  8
    Complex Dynamical Systems in Human Development.Ralf F. A. Cox, Ruud J. R. Den Hartigh, Michael J. Richardson, Chen Yu & Till D. Frank - 2019 - Complexity 2019:1-3.
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  24.  12
    Parental Psychological Control and Adolescent Aggressive Behavior: Deviant Peer Affiliation as a Mediator and School Connectedness as a Moderator.Yunlong Tian, Chengfu Yu, Shuang Lin, Junming Lu, Yi Liu & Wei Zhang - 2019 - Frontiers in Psychology 10.
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  25. Prior Knowledge Bootstraps Cross-Situational Learning.Krystal A. Klein, Chen Yu & Richard M. Shiffrin - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1930--5.
  26.  16
    Predicting Chinese Adolescent Internet Gaming Addiction From Peer Context and Normative Beliefs About Aggression: A 2-Year Longitudinal Study.Ping Su, Chengfu Yu, Wei Zhang, Sha Liu, Yang Xu & Shuangju Zhen - 2018 - Frontiers in Psychology 9.
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  27.  13
    The Developing Infant Creates a Curriculum for Statistical Learning.Linda B. Smith, Swapnaa Jayaraman, Elizabeth Clerkin & Chen Yu - 2018 - Trends in Cognitive Sciences 22 (4):325-336.
    New efforts are using head cameras and eye-trackers worn by infants to capture everyday visual environments from the point of view of the infant learner. From this vantage point, the training sets for statistical learning develop as the sensorimotor abilities of the infant develop, yielding a series of ordered datasets for visual learning that differ in content and structure between timepoints but are highly selective at each timepoint. These changing environments may constitute a developmentally ordered curriculum that optimizes learning across (...)
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  28.  43
    Language Evolution: Body of Evidence?Chen Yu & Dana H. Ballard - 2005 - Behavioral and Brain Sciences 28 (2):148-149.
    Our computational studies of infant language learning estimate the inherent difficulty of Arbib's proposal. We show that body language provides a strikingly helpful scaffold for learning language that may be necessary but not sufficient, given the absence of sophisticated language in other species. The extraordinary language abilities of Homo sapiens must have evolved from other pressures, such as sexual selection.
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  29. Joint or Conditional Probability in Statistical Word Learning: Why Decide.Krystal Klein & Chen Yu - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
  30.  21
    Grounding Word Learning in Multimodal Sensorimotor Interaction.Chen Yu, Linda B. Smith & Alfredo F. Pereira - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1017--1022.
  31.  21
    Adaptive Constraints and Inference in Cross-Situational Word Learning.George Kachergis, Chen Yu & Richard M. Shiffrin - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 2464--2469.
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  32.  35
    What is Culture Made Of?Chen Yu & Linda Smith - 2005 - Behavioral and Brain Sciences 28 (4):515-515.
    Culture is surely important in human learning. But the relation between culture and psychological mechanism needs clarification in three areas: (1) All learning takes place in real time and through real-time mechanisms; (2) Social correlations are just a kind of learnable correlations; and (3) The proper frame of reference for cognitive theories is the perspective of the learner.
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  33.  4
    Developmentally Changing Attractor Dynamics of Manual Actions with Objects in Late Infancy.Jeremy I. Borjon, Drew H. Abney, Linda B. Smith & Chen Yu - 2018 - Complexity 2018:1-13.
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  34.  14
    Time Course of Visual Attention in Statistical Learning of Words and Categories.Chi-Hsin Chen, Chen Yu, Damian Fricker, Thomas G. Smith & Lisa Gershkoff-Stowe - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
  35.  10
    Superconductivity as a Probe of Magnetic Switching and Ferromagnetic Stability in Nb/Ni Multilayers.L. E. De Long, S. A. Kryukov, A. Bosomtwi, Wentao Xu, E. M. Gonzalez, E. Navarro, J. E. Villegas, J. L. Vicent, Chengtao Yu & M. J. Pechan - 2006 - Philosophical Magazine 86 (17-18):2735-2760.
  36.  7
    Cooperative Gazing Behaviors in Human Multi-Robot Interaction.Tian Xu, Hui Zhang & Chen Yu - 2013 - Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems 14 (3):390-418.
  37. Shibusawa Eiichi to "Giri" Shisō: Kindai Higashi Ajia No Jitsugyō to Kyōiku.Chen Yu - 2008 - Perikansha.
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  38. Zhong Xi Ren Shi Lun Shi Yu Rong He Zhi Si =.Chengjiu Yu - 2009 - Ren Min Chu Ban She.
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