Haojiang Ying

Dr. Haojiang Ying is an Associate Professor in the Department of Psychology, School of Education, Soochow University. He has published extensively in experimental psychology and vision science, with papers appearing in journals including Journal of Experimental Psychology: General, Cognition, Journal of Vision, and Journal of Experimental Social Psychology. 

He also serves as an Editorial Board Member of PLOS Computational Biology. 

Students with interests in computer vision, computational vision, and cognitive science are welcome to join his laboratory .

Research Interests

1.  Cognitive psychology and computational vision

2.  Screening and intervention methods for eye diseases

3.  Deep neural networks and computer vision

Professional Appointments and Education

2019 – Now Asso. Prof, Soochow Univeristy, Department of Psychology

2014 – 2019 Ph.D.  Nanyang Technological University, Department of Psychology

2013 – 2014 MSc.  University of Glasgow, School of Psychology & Neuroscience

2009 – 2013 BS.  Beijing Forestry University, Department of Psychology

Selected Publication

Yu, J. M., Ying, H.* (2025). The Asymmetry System Properties of Visual System: Evidence from Serial Face Processing. Journal of Vision, 25 (10), 12-12. [Corresponding Author] [计算视觉, 认知建模]

Wang, S., Ying, H., Wang, Q., Li, L., Lei, X., Han, C., Krueger, F. (2025).  Timing is Everything: Unraveling the Temporal Dynamics of the Cheerleader Effect. Journal of Experimental Social Psychology, 119, 104758. [Co-First Author] 

Chen, Y., Li, Y. F., Cheng, C., & Ying, H. (2024). Neural network based cognitive approaches from face perception with human performance benchmark. Pattern Recognition Letters, 184, 155-161.[Corresponding Author] 

Yu, J. M., Yang, W., & Ying, H.* (2023). Modeling facial perception in group context from a serial perception perspective. Journal of Vision, 23(3), 4. [Corresponding Author] 

Burns, E.#, Yang, W. #, Ying, H.*(2021). Friend Effects Framework: contrastive and hierarchical processing in cheerleader effects. Cognition, 212, 104715. [Corresponding Author]

Yu, J.-M., & Ying, H.* (2021). A general serial dependence among various facial traits: Evidence from Markov Chain and derivative of Gaussian. Journal of Vision, 21(13):4, 1-13. [Corresponding Author]

Ying, H., Burns J., E. J., Choo, A. M., & Xu, H.* (2020). Temporal and spatial ensemble statistics are formed by distinct mechanisms. Cognition, 195, 104128. [First Author]

Ying, H., Burns, E. J., Lin, X., & Xu, H.* (2019). Ensemble statistics shape face adaptation and the cheerleader effect. Journal of Experimental Psychology: General, 148(3), 421-436. [First Author] 

Ying, H., & Xu, H. (2017). Adaptation reveals that facial expression averaging occurs during rapid serial presentation. Journal of Vision, 17(1), 15.[First Author]

Full Publication List

Journal Papers from this lab

Li, J., Bao, J., Qian, Z., Ying, H.* (2026). Positive Serial Dependences of Social Characteristics Perception in Group Context Are Similar but Different. Perception. [Corresponding Author] [认知心理学, 认知建模]

Sun, Q., Zhang, X. Y., Sun, Q., Ying, H.*, (2025). The across-trial accumulation of cardinal illusion in orientation estimation attenuates the significance of serial dependence. Psychological Research.  [Corresponding Author] [认知心理学, 认知建模]

Sun, Q., Ying, H., & Sun, Q. (2025).. Self-motion direction estimate from optic flow is a result of capacity-free and implicit ensemble coding. i-Perception, 16(5), 1-12 [Co-First Author] [认知心理学, 认知建模]

Yu, J. M., Ying, H.* (2025). The Asymmetry System Properties of Visual System: Evidence from Serial Face Processing. Journal of Vision. [Corresponding Author] [计算视觉, 认知建模]

Wang, S., Ying, H., Wang, Q., Li, L., Lei, X., Han, C., Krueger, F. (2025).  Timing is Everything: Unraveling the Temporal Dynamics of the Cheerleader Effect. Journal of Experimental Social Psychology, 119, 104758. [Co-First Author] [认知心理学, 认知建模]

Chen, Y., Li, Y. F., Cheng, C., & Ying, H. (2024). Neural network based cognitive approaches from face perception with human performance benchmark. Pattern Recognition Letters, 184, 155-161.[Corresponding Author] [神经网络, 计算机视觉]

Zhao, Z., Wu, Y., Yaoma, K., Burns, E., Sun, M., & Ying, H.* (2024) Other Ethnicity Effects in Ensemble Coding of Facial Expressions. Attention, Perception & Psychophysics, 86(7), 2412-2423[Corresponding Author] [认知心理学, 认知建模]

Sun, M., Huang, Y., & Ying, H.* (2024) Repulsion Bias Is Insensitive to Spatial Attention, yet Expands during Active WM Maintenance. Attention, Perception & Psychophysics, 86(5), 1653-1667[Corresponding Author] [认知心理学, 认知建模]

Wu, Y., Wu, X., & Ying, H.* (2023). Contributions of ethnicity and attention to the ensemble emotional perception in a mixed crowd. American Journal of Psychology, 136 (4), 391-402. [Corresponding Author] [认知心理学]

Wu, Y., & Ying, H.* (2023). The background assimilation effect: Facial emotional perception is affected by surrounding stimuli. i-Perception, 14(0), 1-16. [Corresponding Author] [认知心理学]

Sun, M., & Ying, H.* (2023). Color’s perceptual diversity and categorical harmony improve aesthetic experience. Psychology of Aesthetics, Creativity, and the Arts. [Corresponding Author] [认知心理学]

Yu, J. M., Yang, W., & Ying, H.* (2023). Modeling facial perception in group context from a serial perception perspective. Journal of Vision, 23(3), 4. [Corresponding Author] [计算视觉, 认知建模]

Li, Y.-F., & Ying, H.* (2022). Disrupted visual input unveils the computational details of artificial neural networks for face perception. Frontiers inComputational Neuroscience, 16:1054421. [Corresponding Author] [神经网络, 计算机视觉]

Ying, H.* (2022). Attention modulates the ensemble coding of facial expressions. Perception, 51(4), 276-285. [First Author & Corresponding Author] [认知心理学]

Burns, E.#, Yang, W. #, Ying, H.*(2021). Friend Effects Framework: contrastive and hierarchical processing in cheerleader effects. Cognition, 212, 104715. [Corresponding Author] [认知心理学, 认知建模]

Yu, J.-M., & Ying, H.* (2021). A general serial dependence among various facial traits: Evidence from Markov Chain and derivative of Gaussian. Journal of Vision, 21(13):4, 1-13. [Corresponding Author][计算视觉, 认知建模]

He, X., Ying, H., & Jaratjarungkiat, S. (2020). Multimedia learning materials for second language learners: A comparison of two kinds of videos. Chinese as a Second Language, 55(3), 175-192.

Ying, H., Cheng, W., Deepu Rajan, N., & Xu, H. (2020). Perception of attractive and unattractive face groups is driven by distinct spatial frequencies. PsyCh Journal, 9(6), 804-818. [First Author] [认知心理学]

Ying, H., Burns J., E. J., Choo, A. M., & Xu, H.* (2020). Temporal and spatial ensemble statistics are formed by distinct mechanisms. Cognition, 195, 104128. [First Author] [认知心理学, 认知建模]

Ying, H., Burns, E. J., Lin, X., & Xu, H.* (2019). Ensemble statistics shape face adaptation and the cheerleader effect. Journal of Experimental Psychology: General, 148(3), 421-436. [First Author] [认知心理学, 认知建模]

Ying, H., & Xu, H. (2017). Adaptation reveals that facial expression averaging occurs during rapid serial presentation. Journal of Vision, 17(1), 15.[First Author] [认知心理学]

 In Preparation (arXiv papers)

Zhao, Z., Chen, J., Lin, Z., & Ying, H. (2024). Face processing emerges from object-trained convolutional neural networks. arXiv preprint arXiv:2405.18800.[Corresponding Author]

Ying, H., Li, Y. F., & Chen, Y. (2023). Using Human-like Mechanism to Weaken Effect of Pre-training Weight Bias in Face-Recognition Convolutional Neural Network. arXiv preprint arXiv:2310.13674.[First Author]

Yu, J. M., & Ying, H. (2022). The Markovian and Memoryless Properties of Visual System: Evidence from Serial Face Processing. arXiv, arXiv:2212.14254.[Corresponding Author]

 Conference Papers

Ying, H., & Chen, Y. (2021, May). A Neural Network Approach to Subjective Human Face Perception Classification based on Social Characteristics. In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) (pp. 457-462). IEEE. [First Author]

Chen, Y., Qiu, L., & Ying, H. (2021, May). Multi-dimensional Data Analysis Platform (MuDAP): A Versatile Analysis Toolbox for Multi-dimensional Perception Data. In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) (pp. 655-660).IEEE.

Collaborations

Zhang, T., Ying, H., Wang, H., Zhao, F., Pan, Q., Zhan, Q., ... & Zhang, Y. Visual Motion Sensitivity as an Indicator of Diabetic Retinopathy in Type 2 Diabetes Mellitus. Frontiers in Neuroscience, 18, 1412241. [Co-First Author] [眼科学, 疾病筛查] 

Li, X., Wang, Y., Xiao, B., Xu, Y., Ying, H.*, Chen, Y.* (2024) Multi-Dimensional Data Analysis Platform (MuDAP): A Cognitive Science Data Toolbox. Symmetry 16(4),503.[Corresponding Author] [神经网络, 研究方法] 感谢兄弟学院两位副教授邀请本人参与此跨学科研究工具包的开发

Conference Posters

Ying, H., & Burns, E. J. (2021, December). The Friend Effect Framework: Modelling Perception of Facial Attractiveness in Social Contexts. Perception.[First Author]

Ying, H. (2021). Preference of Facial Attractiveness is ‘heritable’ within the Family. Journal of Vision, 21(9), 2952. [First Author]

Rajan, N. D., Ying, H., Ananyev, E., Maus, G., & Xu, H. (2021). Can attention break through the ensemble? Only with more time. Journal of Vision, 21(9), 2535.

Hu, C., Dong, K., Cheng, W., Wu, H., Kishimoto, T., Ying, H., ... & Zhang, R. Y. (2020). Dissociating the causal roles of V1, intraparietal sulcus, and dorsolateral prefrontal cortex in visual working memory. Journal of Vision, 20(11), 924.

Ying, H., Cheng, W., & Xu, H. (2019). Ensemble Coding of Facial Attractiveness is Largely Driven by the High Spatial Frequency Information. Journal of Vision, 19(10), 196. [First Author]

Ying, H., Burns, E., Choo, A., & Xu, H. (2017). Ensemble representation of facial attractiveness adaptation by rapid serial visual presentation. Journal of Vision, 17(10), 840. [First Author]

Ying, H., & Xu, H. (2016). Rapid Serial Visual Presentation (RSVP) of Emotional Faces Generates Substantial Emotion Aftereffect as the Average Face of the RSVP Sequence. Journal of Vision, 16(12), 157. [First Author]

He dedicated in using psychophysics methods to study the high-level vision perception, and vision perception in complicated scenes. His research interets includ ensemble statistics of vision, computational vision, and face perception.