Predicting ice flow using machine learning. - Yimeng Min; S. Karthik Mukkavilli; Yoshua Bengio (CoRR, 2019)

Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks. - Yimeng Min; Frederik Wenkel; Guy Wolf (NeurIPS, 2020)

Persistent Neurons. - Yimeng Min (CoRR, 2020)

Geometric Scattering Attention Networks. - Yimeng Min; Frederik Wenkel; Guy Wolf (ICASSP, 2021)

Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? - Yimeng Min; Frederik Wenkel; Michael Perlmutter; Guy Wolf (NeurIPS, 2022)

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks. - Frederik Wenkel; Yimeng Min; Matthew J. Hirn; Michael Perlmutter; Guy Wolf (CoRR, 2022)

Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem? - Yimeng Min; Frederik Wenkel; Michael Perlmutter; Guy Wolf (CoRR, 2022)

Physically Informed Graph-Based Deep Reasoning Net for Efficient Combinatorial Phase Mapping. - Yimeng Min; Ming-Chiang Chang; Shufeng Kong; John M. Gregoire; R. Bruce van Dover; Michael O. Thompson; Carla P. Gomes (ICMLA, 2023)

Unsupervised Learning for Solving the Travelling Salesman Problem. - Yimeng Min; Yiwei Bai; Carla P. Gomes (NeurIPS, 2023)

On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem. - Yimeng Min; Carla P. Gomes (CoRR, 2024)

Comment on paper: Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. - Yimeng Min (CoRR, 2024)

Permutation Picture of Graph Combinatorial Optimization Problems. - Yimeng Min (CoRR, 2024)

Unsupervised Learning for Quadratic Assignment. - Yimeng Min; Carla P. Gomes (CoRR, 2025)

Unsupervised Ordering for Maximum Clique. - Yimeng Min; Carla P. Gomes (CoRR, 2025)

Structure As Search: Unsupervised Permutation Learning for Combinatorial Optimization. - Yimeng Min; Carla P. Gomes (CoRR, 2025)