Cryptotype, Overgeneralization and Competition: A Connectionist Model of the Learning of English Reversive Prefixes. - Ping Li 026 (Connect. Sci., 1996)

Neural representations of nouns and verbs in Chinese: an fMRI study. - Ping Li 026; Zhen Jin 003; Li Hai Tan (NeuroImage, 2004)

Early lexical development in a self-organizing neural network. - Ping Li 026; Igor Farkas; Brian MacWhinney (Neural Networks, 2004)

Mental Representation of Verb Meaning: Behavioral and Electrophysiological Evidence. - Xuesong Li; Hua Shu 002; Youyi Liu; Ping Li 026 (J. Cogn. Neurosci., 2006)

Dynamic Self-Organization and Early Lexical Development in Children. - Ping Li 026; Xiaowei Zhao; Brian MacWhinney (Cogn. Sci., 2007)

Cortical competition during language discrimination. - Jingjing Zhao; Hua Shu 002; Linjun Zhang; Xiaoyi Wang; Qiyong Gong; Ping Li 026 (NeuroImage, 2008)

Lexical Organization and Competition in First and Second Languages: Computational and Neural Mechanisms. - Ping Li 026 (Cogn. Sci., 2009)

Advances in Knowledge Discovery and Data Analysis for Artificial Intelligence. - Haibo He; Ping Li 026; Hongwei Wang (J. Exp. Theor. Artif. Intell., 2011)

Language dominance modulates cross-language lexical interaction in late immersed learners. - Barbara Malt; Ping Li 026; Eef Ameel; Aneta Pavlenko; Huichun Zhu (CogSci, 2013)

Bayesian Word Learning in Multiple Languages. - Sebastian Rolotti; Benjamin Zinszer; Elizabeth Carlson; Ping Li 026 (CogSci, 2013)

A computational model of bilingual semantic convergence. - Shin-Yi Fang; Benjamin Zinszer; Barbara Malt; Ping Li 026 (CogSci, 2015)

The Cognitive Science of Bilingualism. - Yanping Dong; Ping Li 026 (Lang. Linguistics Compass, 2015)

Sampling over Nonuniform Distributions: A Neural Efficiency Account of the Primacy Effect in Statistical Learning. - Elisabeth A. Karuza; Ping Li 026; Daniel J. Weiss; Federica Bulgarelli; Benjamin Zinszer; Richard N. Aslin (J. Cogn. Neurosci., 2016)

A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification. - Jinlong Hu; Yuezhen Kuang; Bin Liao 005; Lijie Cao; Shoubin Dong; Ping Li 026 (Comput. Intell. Neurosci., 2019)

Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder. - Jinlong Hu; Lijie Cao; Tenghui Li; Bin Liao 005; Shoubin Dong; Ping Li 026 (Comput. Math. Methods Medicine, 2020)

CrowdXR - Pitfalls and Potentials of Experiments with Remote Participants. - Jiayan Zhao; Mark B. Simpson; Pejman Sajjadi; Jan Oliver Wallgrün; Ping Li 026; Mahda M. Bagher; Danielle Oprean; Lace M. K. Padilla; Alexander Klippel (ISMAR, 2021)

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification. - Jinlong Hu; Lijie Cao; Tenghui Li; Shoubin Dong; Ping Li 026 (BMC Bioinform., 2021)

A 4C Model for Hyflex Classrooms. - Henry C. B. Chan; Yi Dou; Yue Jiang; Ping Li 026 (COMPSAC, 2022)

Hybrid/Online Teaching: A Survey and Key Issues. - Yue Jiang; Hoi Yan Lin; Long Fai Cheung; Henry C. B. Chan; Ping Li 026 (COMPSAC, 2023)

Collaborative Learning in the Edu-Metaverse Era: An Empirical Study on the Enabling Technologies. - Chen Li 023; Yue Jiang; Peter H. F. Ng; Yixin Dai; Francis Cheung; Henry C. B. Chan; Ping Li 026 (IEEE Trans. Learn. Technol., 2024)

Introduction to Progress and Puzzles of Cognitive Science. - Rick Dale; Ruth M. J. Byrne; Emma Cohen; Ophelia Deroy; Samuel J. Gershman; Janet H. Hsiao; Ping Li 026; Padraic Monaghan; David C. Noelle; Iris van Rooij; Priti Shah; Michael J. Spivey; et al. (Cogn. Sci., 2024)