| Language models as recommender systems: Evaluations and limitations Y Zhang, H Ding, Z Shui, Y Ma, J Zou, A Deoras, H Wang | 98* | 2021 |
| Heterogeneous molecular graph neural networks for predicting molecule properties Z Shui, G Karypis 2020 IEEE International Conference on Data Mining (ICDM), 492-500, 2020 | 96 | 2020 |
| Injecting domain knowledge from empirical interatomic potentials to neural networks for predicting material properties Z Shui, D Karls, M Wen, E Tadmor, G Karypis Advances in Neural Information Processing Systems 35, 14839-14851, 2022 | 11 | 2022 |
| Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification Z Shui, P Karypis, DS Karls, M Wen, S Manchanda, EB Tadmor, G Karypis Findings of the Association for Computational Linguistics: EMNLP 2024, 16718 …, 2024 | 2 | 2024 |
| Sequence-graph duality: Unifying user modeling with self-attention for sequential recommendation Z Shui, G Liu, A Deoras, G Karypis | 1 | 2022 |
| Open Materials Generation with Stochastic Interpolants P Hoellmer, T Egg, MM Martirossyan, E Fuemmeler, A Gupta, Z Shui, ... arXiv preprint arXiv:2502.02582, 2025 | | 2025 |
| Advanced Deep Learning Methods for Chemistry and Material Science Z Shui University of Minnesota, 2024 | | 2024 |
