I am a Psychology PhD student at the University of California at Berkeley. I am currently working in the Kidd Lab, under the mentorship of Dr. Celeste Kidd. I also work with Dr. Steve Piantadosi and Dr. Bill Thompson. I graduated from UC Berkeley in 2021 with a BA in Computer Science, Physics, and Psychology.

Research focus: I use computational methods to build quantitative models of human learning mechanisms, and uses insights from that psychology work as inspiration to advance machine learning techniques.

Publications

Published

Yang, H.A., Martí, L., Baer, C., Granera, A., Palmeri, H., Kidd, C. (2024). Emergence of certainty representations for guiding concept learning. In Proceedings of the 46th Annual Meeting of the Cognitive Science Society.

Yang, H.A., Thompson, B., Kidd, C. (2024). Children Spontaneously Discover Efficient Sorting Algorithms in a Seriation Task. In Proceedings of the 46th Annual Meeting of the Cognitive Science Society.

Yang, H.A., Piantadosi, S., Kidd, C. (2023). Children’s Estimation of Peripheral Information Drives Improvements in Approximate Number Sense. In Proceedings of the 45th Annual Meeting of the Cognitive Science Society.

Ji, C., Shen, H., Xiong, Z., Chen, F., Zhang, M., Yang, H. (2023). Prototypical Model with Novel Information‑theoretic Loss Function for Generalized Zero Shot Learning. In The 15th Asian Conference on Machine Learning.

In Prep

Ji, C., Gong, D., Yang, H.A. Deep Deterministic Neural Network with Hierarchical Gaussian Mixture Model for Uncertainty Quantification.