👋 I am Yuxi Wang (王愉茜), a researcher at BIGAI.

我是王愉茜，目前是 BIGAI 的 researcher。

🧠 My research asks: How can we understand and develop cognitive capabilities that enable more general and adaptive artificial intelligence?

我的研究关注：我们如何理解并发展能够支持更通用、更具适应性的人工智能的认知能力？

Inspired by cognitive science and neuroscience, I study the principles underlying intelligence and explore how they can guide the development of AI systems with stronger abilities in learning, adaptation, self-monitoring, and autonomous decision-making.

受认知科学和神经科学启发，我研究智能背后的基本原理，并探索这些原理如何指导 AI 系统的发展，使其具备更强的学习、适应、自我监控和自主决策能力。

🔍 My current research focuses on AI cognitive capabilities, including metacognition, uncertainty awareness, self-monitoring, and autonomous learning. Through computational cognitive modeling, Bayesian learning, and cognitively grounded benchmark design, I investigate how AI agents can understand their own knowledge states, recognize limitations, learn from feedback, and improve in unfamiliar environments.

我目前的研究聚焦于 AI 认知能力，包括元认知、不确定性感知、自我监控和自主学习。我结合计算认知建模、贝叶斯学习和具有认知基础的 benchmark 设计，研究 AI 智能体如何理解自身知识状态、识别能力边界、从反馈中学习，并在陌生环境中持续改进。

🌱 Ultimately, I aim to contribute to the cognitive foundations of artificial general intelligence (AGI) by developing AI systems that are not only capable of solving tasks, but also able to understand, adapt, and regulate themselves.

最终，我希望通过发展不仅能够完成任务、也能够理解、适应并调节自身的 AI 系统，为通用人工智能（AGI）的认知基础做出贡献。

For the most up-to-date publication list and citation metrics, please visit my Google Scholar profile.

News

2026.06: Received a Ph.D. degree in Applied Psychology from the School of Psychological and Cognitive Sciences at Peking University, and joined BIGAI as a researcher.
2026: New publications appeared in Nature Human Behaviour, Psychiatry Research: Neuroimaging, and IEEE VR related venues.
2025: Several works on depression, reinforcement learning, multimodal large language models, and intelligent machine simulation were added to Google Scholar.