Min, Yimeng

Educational Background

- Artificial intelligence for science
- Computational sustainability
- Generative models
- Geometric deep learning

Conference on Neural Information Processing Systems (NeurIPS) Scholar Award – 2022
Ted Rogers Scholarship, University of Toronto – 2018
Candidate for Student of the Year, Nanjing University – 2017

Min, Y. and Gomes, C.P. 2025. “Structure as Search: Unsupervised Permutation Learning for Combinatorial Optimization.” Graph Machine Learning Workshop at NeurIPS.
Min, Y., Bai, Y., and Gomes, C.P. 2023. “Unsupervised Learning for Solving the Travelling Salesman Problem.” NeurIPS.
Liu, S.C., Dai, C.M., Min, Y., Hou, Y., Proppe, A.H. et al. 2021. “An Antibonding Valence Band Maximum Enables Defect-Tolerant and Stable GeSe Photovoltaics.” Nature Communications.
Zhong, M., Tran, K., Min, Y., Wang, C. et al. 2020. “Accelerated Discovery of CO₂ Electrocatalysts Using Active Machine Learning.” Nature.
Min, Y., Mukkavilli, S.K., Bengio, Y. 2019. “Predicting Ice Flow Using Machine Learning.” NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning.