| Improved Regularization and Robustness for Fine-tuning in Neural Networks D Li, H Zhang Advances in Neural Information Processing Systems 34, 2021 | 64 | 2021 |
| Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion H Ju, D Li, A Sharma, HR Zhang Artificial Intelligence and Statistics; arXiv preprint arXiv:2302.04451, 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 |
| PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration T Yang, D Li, Y Han, Y Zhao, F Liu, X Liang, Z He, L Jiang 2021 58th ACM/IEEE Design Automation Conference (DAC), 583-588, 2021 | 32 | 2021 |
| AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs D Li, T Yang, L Du, Z He, L Jiang Proceedings of the 30th ACM International Conference on Information …, 2021 | 15 | 2021 |
| Identification of Negative Transfers in Multitask Learning Using Surrogate Models D Li, HL Nguyen, HR Zhang Transactions on Machine Learning Research; arXiv preprint arXiv:2303.14582, 2023 | 14 | 2023 |
| DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture T Yang, D Li, Z Song, Y Zhao, F Liu, Z Wang, Z He, L Jiang 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 700-705, 2022 | 14 | 2022 |
| Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis A Nippani, D Li, H Ju, HN Koutsopoulos, HR Zhang NeurIPS Datasets and Benchmarks Track; arXiv preprint arXiv:2311.00164, 2023 | 10 | 2023 |
| Boosting Multitask Learning on Graphs through Higher-Order Task Affinities D Li, H Ju, A Sharma, HR Zhang SIGKDD Conference on Knowledge Discovery and Data Mining; arXiv preprint …, 2023 | 8 | 2023 |
| ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator Z Song, D Li, Z He, X Liang, L Jiang 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 6 | 2021 |
| Optimal Intervention on Weighted Networks via Edge Centrality D Li, T Eliassi-Rad, HR Zhang SIAM International Conference on Data Mining; arXiv preprint arXiv:2303.09086, 2023 | 4 | 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 | 3* | 2024 |
| Learning Tree-Structured Composition of Data Augmentation D Li, K Chen, P Radivojac, HR Zhang Transactions on Machine Learning Research, 2024 | 1 | 2024 |
| Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity D Li, A Sharma, HR Zhang SIGKDD Conference on Knowledge Discovery and Data Mining, 1542-1553, 2024 | 1 | 2024 |
| Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach D Li, Z Zhang, L Wang, HR Zhang Findings of the Association for Computational Linguistics: EMNLP (2024 …, 2024 | | 2024 |
Hongyang R. ZhangComputer Science, Northeastern UniversityVerified email at northeastern.edu