| Generalization in graph neural networks: Improved pac-bayesian bounds on graph diffusion H Ju, D Li, A Sharma, HR Zhang International Conference on Artificial Intelligence and Statistics, 6314-6341, 2023 | 39 | 2023 |
| Robust fine-tuning of deep neural networks with hessian-based generalization guarantees H Ju, D Li, HR Zhang International Conference on Machine Learning, 10431-10461, 2022 | 33 | 2022 |
| Graph neural networks for road safety modeling: datasets and evaluations for accident analysis A Nippani, D Li, H Ju, H Koutsopoulos, H Zhang Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
| Boosting multitask learning on graphs through higher-order task affinities D Li, H Ju, A Sharma, HR Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 8 | 2023 |
| Noise stability optimization for finding flat minima: A hessian-based regularization approach HR Zhang, D Li, H Ju Transactions on Machine Learning Research, 2024 | 2 | 2024 |
| Noise Stability Optimization For Flat Minima With Tight Rates H Ju, D Li, HR Zhang OPT 2023: Optimization for Machine Learning, 2023 | 1 | 2023 |
| Noise Stability Optimization for Flat Minima with Optimal Convergence Rates H Ju, D Li, HR Zhang arXiv preprint arXiv:2306.08553, 2023 | | 2023 |
Dongyue LIComputer Science, Northeastern UniversityVerified email at northeastern.edu