FENG Gangyi

Associate Professor

Photo

BA, PhD (South China Normal University)

Phone: 3943-3190

Email: g.feng[at]cuhk.edu.hk

Professor Feng Gangyi is an Associate Professor in Neurolinguistics and Psychology of Language. He received his undergraduate and doctoral degrees in Psychology from South China Normal University and completed his postdoctoral training in the Cognitive Neuroscience of Language at the Chinese University of Hong Kong and the University of Texas at Austin. Prior to his current position, he served as a Research Assistant Professor at the Chinese University of Hong Kong. He teaches courses in Neurolinguistics, Research Methods in Linguistic Research, and Special Topics in Psycholinguistics and Neurolinguistics. Professor Feng's research employs a range of contemporary cognitive neuroscience research approaches, including event-related potentials (ERP), functional magnetic resonance imaging (fMRI), and diffusion tensor imaging (DTI), as well as systems neuroscience techniques such as multivariate neural decoding and connectivity pattern analyses, in order to gain a deeper understanding of the cognitive and neural mechanisms underlying language learning, speech, and lexical-semantic processing in both adults and clinical populations. His research has been published in a number of high-profile international journals, including the PNAS, the Journal of Neuroscience, Cerebral Cortex, Neuroimage, Human Brain Mapping, and Neurobiology of Language. He has received funding for his research from various external and university sources, including the General Research Fund, Collaborative Research Fund, Innovation and Technology Fund, National Science Foundation of China, and National Institutes of Health. Students in Linguistics, Psychology, Education, Computer Science, Statistics, Engineering, or a related major are welcome to contact Prof. Feng for Ph.D. programme application.

Research Interest and Publications

Research Interest
Neurolinguistics, Language Sciences, Language Learning and Processing, Speech Perception, Semantic Representation

Journal Publications

Gan, Z., Zheng, L., Wang, S., & Feng, G*. (2022). Distribution-dependent representations in auditory category learning and generalization. PsyArXiv. DOI: 10.31234/osf.io/ta9bn
Meng, D., Wang, S., Wong, P., Feng, G*. (2022). Generalizable predictive modeling of semantic processing ability from functional brain connectivity. Human Brain Mapping [5-yr Impact Factor: 5.81], 43, 4274-4292.
Taylor, A., Zhang, F., Niu, X., Heywood, A., Stocks, J., Feng, G., Popuri, K., Beg, M.F., Wang, L., 2022. Investigating the temporal pattern of neuroimaging-based brain age estimation as a biomarker for Alzheimer's Disease related neurodegeneration. NeuroImage [5-yr Impact Factor: 8.01], 263, 119621.
Feng, G.*, Gan Z., Yi H., Ell, S., Wang, S., Roark, C. L., Wang, S., Wong, P. C. M., Chandrasekaran, B. (2021). Neural dynamics underlying the acquisition of distinct auditory category structures. NeuroImage [5-yr Impact Factor: 8.01], 244, 118565.
Feng, G.*, Ou, J., Gan, Z., Jia, X., Meng, D., Wang, S., Wong, P.C.M. (2021). Neural fingerprints underlying individual language learning profiles. Journal of Neuroscience [5-yr Impact Factor: 7.46], 41, 7372–7387.
Feng, G.*, Gan, Z., Llanos, F., Meng, D., Wang, S., Wong, P.C.M., Chandrasekaran, B. (2021). A distributed dynamic brain network mediates linguistic tone representation and categorization. NeuroImage [5-yr Impact Factor: 8.01], 224, 117410.
Feng, G.*, Li, Y., Hsu, S-M., Wong, P.C.M., Chou, T-L., Chandrasekaran, B. (2021) Emerging native-similar neural representations underlie non-native speech category learning success. Neurobiology of Language [Impact Factor not available yet], 2, 280-307.
Wong, P.C.M., Lai, C.M., Chan, P.H.Y., Leung, T.F., Lam, H.S., Feng, G., Maggu, A.R., Novitskiy, N. (2021). Neural Speech Encoding in Infancy Predicts Future Language and Communication Difficulties. American Journal of Speech-Language Pathology [5-yr Impact Factor: 3.77], 30, 2241-2250.
Feng, G., Yi, H.G., Chandrasekaran, B. (2019). The role of the human auditory corticostriatal network in speech learning.Cerebral Cortex [5-yr Impact Factor: 5.99], 29(10): 4077–4089.
Feng, G., Ingvalson, E.M., Grieco-Calub, T.M., Roberts, M.Y., Ryan, M.E., Birmingham, P., Burrowes, D., Young, N., Wong, P.C.M. (2018). Neural preservation underlies speech improvement from auditory deprivation in young cochlear implant recipients. Proceedings of the National Academy of Sciences of the United States of America [PNAS 5-yr Impact Factor: 13.45], 115(5), E1022-E1031.
Feng, G., Gan Z., Wang, S., Wong, P. C. M., Chandrasekaran, B. (2018). Task-general and acoustic-invariant neural representation of speech categories in the human brain. Cerebral Cortex [5-yr Impact Factor: 5.99], 28(9): 3241–3254.
Feng, G., Chen, Q., Zhu, Z., Wang, S. (2016). Separate brain circuits support integrative and semantic priming in the human language system. Cerebral Cortex [5-yr Impact Factor: 5.99], 26(7): 3169-3182.
Feng, G., Chen, H.-C., Zhu, Z., He, Y., Wang, S., (2015). Dynamic brain architectures in local brain activity and functional network efficiency associate with efficient reading in bilinguals. NeuroImage [5-yr Impact Factor: 8.01], 119, 103-118.
Zhang, F., Wang, S., Yang, J., Feng, G. (2015). Atypical brain functional connectivity in autism spectrum disorders. Advances in Psychological Science [Impact Factor: 2.08], 23(7): 1196-1204.
Zhu, Z., Feng, G., Zhang, J.X., Li, G., Li, H., Wang, S., (2013). The role of left prefrontal cortex in sentence-level semantic integration. NeuroImage [5-yr Impact Factor: 8.01], 76(1), 325-331.
Zhu, Z., Fan, Y., Feng, G., Huang, R., Wang, S., (2013). Large scale brain functional networks support sentence comprehension: Evidence from both explicit and implicit language tasks. PLoS ONE [5-yr Impact Factor: 4.07], 8.
Zhu, Z., Hagoort, P., Zhang, J.X., Feng, G., Chen, H.C., Bastiaansen, M., Wang, S., (2012). The anterior left inferior frontal gyrus contributes to semantic unification. NeuroImage [5-yr Impact Factor: 8.01], 60, 2230-2237.
Cheung, H., Chen, L., Szeto, C.-Y., Feng, G., Lu, G., Zhang, Z., Zhu, Z., Wang, S., (2012). False belief and verb non-factivity: A common neural basis? International Journal of Psychophysiology [5-yr Impact Factor: 3.52], 83, 357-364.
Feng, G., Zhu, Z., Duan, Y., Zhang, W. (2011). Attention-deficit/hyperactivity disorder: neural mechanisms and intervention. Journal of Psychological Science [Impact Factor: 1.44], 34(4): 931-938.
Zhu, Z., Wang, S., Feng, G., Liu, Y., (2011). Left inferior frontal gyrus and semantic unification in sentence comprehension. Advances in Psychological Science [Impact Factor: 2.08], 19(8), 1147-1158.
Zhu, Z., Wang, S., Feng, G., Li, G., (2011). The neural basis of semantic unification. Journal of Psychological Science [Impact Factor: 1.44], 19(8), 1147-1158.

Patents

Wong, P.C.M., Feng, G., Yang, N.M. Neural Predictors of Language Skill Outcomes in Cochlear Implantation Patients. US Patent (Ref. No. 62/609,305; Patent No. US20190192285A1). https://patents.google.com/patent/US20190192285A1/en?oq=US20190192285A1
Wong, P.C.M., Novitskiy, N., Feng, G., et al. Forecasting Developmental Language and Communication Outcomes in Healthy Children. China Patent.

External Funding Awards
RGC Awards as PI/Co-PI

General Research Fund (GRF). Neural and cognitive fingerprints of general language learning ability. (Role: PI). HK$ 1,008,840. 2022-2024.
General Research Fund (GRF). Cortico-striatal Systems underlying Supervised Speech Learning. (Role: PI). HK$ 780,085. 2019-2022.
Collaborative Research Fund (CRF). A Predict-to-Prescribe Approach to Social Communication Treatment in Chinese Preschool Children with Autism Spectrum Disorder. (Role: Co-PI). HK$ 7,974,224. 2022-2025.
Collaborative Research Fund (CRF). Using Advanced Neuroimaging to Predict Language and Cognitive Outcomes in Pre-Term Infants. (Role: Co-PI), HK$ 5,559,743. 2020-2023.
Collaborative Research Fund (CRF). Hyperscanning to Explore the Human Mind in Ensemble. (Role: Co-PI), HK$ 8,330,150. 2023-2026.

Other External Awards

National Natural Science Foundation of China (NSFC). The brain reorganization after hearing loss and rehabilitation: mechanism and prognosis. (Role: Co-I). RMB$ 590,000. 2022-2025.
General Research Fund (GRF), Research Grant Council of Hong Kong. Using Neuroimaging to Predict Language Outcomes in Chinese-Learning Children with Cochlear Implants (Role: Co-I). HK$ 800,020. 2020-2022.
Innovation and Technology Support Programme (ITSP), Innovation and Technology Fund. Neural Predictors of Language Development. (Role: Co-I). HK$ 1,399,563. 2019-2020.

LING4201 Neurolinguistics
LING4202 Special Topics in Language and Mind
LING5802 Research Practicum
LING6953 Topics in Neurolinguistics & Psycholinguistics
LING6970 Special Topics in Linguistics: Research Design & Methods