我研究人类视觉和机器视觉，重点是利用人类视觉的优势来启发新一代人工智能（AI）——我称之为“强认知”的视角。

我相信人类视觉极其非凡，它使人类能够回答比“看见了什么”和“看见在哪里”更具洞察力的问题。人类智能中许多复杂的心理概念都源于视觉，包括直觉因果、直觉物理和直觉心理等。这些是人类常识的基本构件。

这种常识性的特质可以从三个方面理解：
 (a) 它们在人类（以及许多其他动物）之间普遍共享；
 (b) 由一个视觉场景提供的知识，通常会被观看该场景的所有观察者所共享；
 (c) 丰富的视觉场景理解并不限于特定任务，而是可以广泛应用于解决多种任务。

因此，基于视觉的常识构成了广泛人类智能行为的基础，包括计划、推理、问题解决、语言，甚至道德。

我的目标是构建具有人类式常识知识的人工智能，仅通过共享同一个视觉环境，就能以直观、有效且可信的方式去理解、合作并与人类沟通。

【说人话就是：我研究人类的“常识”——那些强大、直觉，却往往不自知的心理智能。我希望扎根于当代哲学和认知科学的理论，并通过计算建模的方式，建立起“理论—认知结构—算法—行为”之间的桥梁，也看看能不能让机器学会人类那套“顺手就会”的本事。】

如果你对这些话题也有兴趣，欢迎发邮件联系我！学科背景不限，但请务必告诉我你的特别之处：

• 1.能把抽象理论讲明白（哲学/认知理论功底扎实）

• 2.会把想法写成代码跑起来（编程/算法开发靠谱）

• 3.有独到的跨界视角（原专业或自学领域带来的新思路、新方法）

• 4.其他
  

科研项目

主持国自然青年、省自然青年、博士后面上、苏大学术启动等（都不是什么大项目，但做点实验没问题！）

工作经历

2024–至今 优秀青年学者
 苏州大学 教育学院

2020–2023 博士后研究员
 浙江大学 心理与行为科学系

2018–2020 博士后研究员
 加州大学洛杉矶分校（UCLA）  统计系

教育背景

2012–2018  博士
 浙江大学  心理与行为科学系

• 社会知觉

• 生成式视觉

• 人类合作

• 认知建模

• 语言-视觉的共同基础
  

可能有滞后，最新版请参见：https://scholar.google.com/citations?hl=en&user=je4MMTkAAAAJ

Journal Articles

Tang, N., Gong, S., Zhao. M., Zhou, J., Shen, M., & Gao, T. (2025). Joint Commitment in

Human Cooperative Hunting through an “Imagined We”. Proceedings of the Royal Society B: Biological Sciences 

Li, Z., Gong, S-Y., Tang, N., Zhang, J-Y., Zhou, J-F., Shen, M, & Gao, T. (Under review). Perceptual

grouping limits war.

Tang, N., Gong, S., Zhou, J., Shen, M., & Gao, T. (2023). Generative visual common sense: Testing

analysis-by-synthesis on Mondrian-style image. Journal of Experimental Psychology:

General. doi: 10.1037/xge0001413. Online ahead of print.

Cheng, S., Zhao, M., Tang, N., Zhao, Y., Zhou, J., Shen, M., & Gao, T. (2023). Intention beyond desire:

Spontaneous intentional commitment regulates conflicting desires. Cognition, 238, 105513.

Zhao. M., Tang, N., Dahmani, A.L., Zhu, Y., Rossano F., & Gao T. (2022). Sharing rewards

undermines coordinated hunting. Journal of Computational Biology, 29(9), 1022-1030.

Gao, T., Baker, C. L., Tang, N., Xu, H., & Tenenbaum, J.B. (2019). The Cognitive Architecture of

Intentionality Perception: Animacy, Attention and Memory. Cognitive Science, 43(8), e12775

Tang, N., An, W., Xu, H., Zhou, J., Gao, T., & Shen, M. (2017). From “Data” to “Representation”:

How human cognition can inspire artificial intelligence. Chinese Journal of Applied

Psychology, 24(1), 3-14.

Xu, H., Tang, N., Zhou, J., Shen, M., & Gao, T. (2017). Seeing “what” through “why”: Probing the

causal structure of hierarchical motion. Journal of Experimental Psychology: General, 146(6),

896-909

Gao, Z., Gao, Q., Tang, N., Shui, R., & Shen, M. (2016). Organization principles in visual

working memory: Evidence from sequential stimulus display. Cognition, 146, 277-288.

Shen, M., Tang, N., Wu, F., Shui, R., & Gao, Z. (2013). Robust object-based encoding in visual

working memory. Journal of vision, 13(2), 1-1.

Zhang, Q., Shen, M., Tang, N., Zhao, G., & Gao, Z. (2013). Object-based encoding in visual

working memory: A life span study. Journal of vision, 13(10), 11-11

Conference Papers

Tang, N., Gong, S., Zhao, M., Gu, C., Zhou, J., Shen, M., & Gao, T. (2022). Exploring an Imagined

“We” in Human Collective Hunting: Joint Commitment within Shared Intentionality. In J.

Culbertson, A. Perfors, H. Rabagliati, and V. Ramenzoni (Eds.), Proceedings of the 44th

Annual Conference of the Cognitive Science Society. Toronto, Canada: Cognitive Science

Society.

Li, Z., Tang, N., Zhang, J., Gong, S., Zhou, J., Shen, M., & Gao, T. (2022). Perceptual Grouping for

War and Peace. In J. Culbertson, A. Perfors, H. Rabagliati, and V. Ramenzoni (Eds.),

Proceedings of the 44th Annual Conference of the Cognitive Science Society. Toronto,

Canada: Cognitive Science Society.

Tang, N., Gong, S., Liao, Z., Xu, H., Zhou J., Shen, M., & Gao T. (2021). Jointly Perceiving Physics

and Mind: Motion, Force and Intention. In T. Fitch, C. Lamm, H. Leder, & K Teßmar-Raible

(Eds.), Proceedings of the 43rd Annual Conference of the Cognitive Science Society.

Cognitive Science Society.

Zhao, M., Tang, N., Dahmani, A. L., Perry, R. R., Zhu, Y., Rossano, F., & Gao, T. (2021). Sharing is

not Needed: Modeling Animal Coordinated Hunting with Reinforcement Learning. In T.

Fitch, C. Lamm, H. Leder, & K Teßmar-Raible (Eds.), Proceedings of the 43rd Annual

Conference of the Cognitive Science Society. Cognitive Science Society.

Cheng, S., Tang, N., An, W., Zhao, Y., Zhou, J., Shen, M., & Gao, T. (2021). Intention beyond Desire:

Humans Spontaneously Commit to Future Actions. In T. Fitch, C. Lamm, H. Leder, & K

Teßmar-Raible (Eds.), Proceedings of the 43rd Annual Conference of the Cognitive Science

Society. Cognitive Science Society.

Tang, N., Stacy, S., Zhao, M., Marquez, G., & Gao, T. (2020). Bootstrapping an Imagined We for

cooperation. In B. Armstrong, S. Denison, S. Mack, & Y. Xu (Eds.), Proceedings of the 42nd

Annual Conference of the Cognitive Science Society. Toronto, Canada: Cognitive Science

Society.

Conference Talks

Tang, N., Gong, S., Liao, Z., Xu, H., Zhou J., Shen, M., & Gao T. (2021). Jointly Perceiving Physics

and Mind: Motion, Force and Intention. Talk given at the 43rd Annual Conference of the

Cognitive Science Society, 7/29/21, Online.

Tang, N., Xu, H., Baker, C. L., Tenenbaum, J. B., & Gao, T. (2019). The Cognitive Architecture of

Intentionality Perception: Animacy, Attention and Memory. Talk given at the annual meeting of

the Vision Sciences Society, 5/18/19, St. Pete Beach, FL.

Tang, N., Wu, F., Shui, R., Shen, M., & Gao, Z. (2013). Robust object-based encoding in visual

working memory. Talk given at the 9th Asia‐Pacific Conference on Vision, 7/06/14, Suzhou,

China.

Conference Posters

Li, Z., Tang, N., Zhang, J., Zhou, J., Shen, M., & Gao, T. (2022). Perceptual Grouping for War and

Peace [Poster presentation]. The annual meeting of the Vision Sciences Society 2022 (VVSS 2022). Virtual: Vision Sciences Society.

Cheng, S-Z., Tang, N., An, W., Zhou, J-F., Shen, M-W., & Gao, T. (2021). Intention beyond desire:

Humans spontaneously commit to future actions. Proceedings of the 43rd Annual

Conference of the Cognitive Science Society.

Cheng, S., Tang, N., An, W., Zhao, Y., Zhou J., Shen, M., & Gao T. (2021). Intention beyond

desire: Commitment in human action [Poster presentation]. The 47th annual meeting of the

Society for Philosophy and Psychology (47th SPP). Virtual: Society for Philosophy and

Psychology.

Cheng, S., Tang, N., An, W., Zhao, Y., Zhou J., Shen, M., & Gao T. (2020). Intention beyond

desire: Commitment in human action. Poster presented at the annual meeting of the VisionSciences Society, 6/22/20, Virtual-VSS. [Abstract published in Journal of Vision, 20(10),

1723]

Cheng, S., Tang, N., An, W., Zhao, Y., Zhou J., Shen, M., & Gao T. (2020). Intention beyond

desire: Commitment in human action. Poster accepted by the 46th annual meeting of the

Society for Philosophy and Psychology (canceled due to the COVID-19).

Tang, N., Xu, H., Shen, M., & Gao, T. (2019). Jointly perceiving physics and mind. Poster

presented at the annual meeting of the Vision Sciences Society, 5/21/19, St. Pete Beach, FL.

[Abstract published in Journal of Vision, 19(10), 280]

Xu, H., Tang, N., Zhou, J., Shui, R., Shen, W., Gao, T. (2018). Perceiving animacy with causal

constraints: A leash resistance effect in chasing detection. Poster presented at the annual

meeting of the Vision Sciences Society, 5/19/18, St. Pete Beach, FL. [Abstract published in

Journal of Vision, 18(10), 57]

Tang, N., Xu, H., Zhou, J., Shui, R., Shen, W., Gao, T. (2018). A causal model of recursive scene

parsing in human perception. Poster presented at the annual meeting of the Vision Sciences

Society, 5/21/18, St. Pete Beach, FL. [Abstract published in Journal of Vision, 18(10), 750]

Tang, N., Xu, H., Zhou, J., Shui, R., Shen, M., & Gao, T. (2017). Seeing the Intrinsic Structures of

Visual Scenes: Hierarchical Structure Improves Working Memory for Visual Scenes. Poster

presented at the 29th APS Annual Convention, 5/27/17, Boston, MA.

人工智能与社会科学（心理学）