| Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models G Bai, Z Chai, C Ling, S Wang, J Lu, N Zhang, T Shi, Z Yu, M Zhu, ... arXiv preprint arXiv:2401.00625, 2024 | 34 | 2024 |
| Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks G Bai, C Ling, L Zhao ICLR 2023, 2022 | 28 | 2022 |
| Res: A robust framework for guiding visual explanation Y Gao, TS Sun, G Bai, S Gu, SR Hong, Z Liang KDD 2022, 432-442, 2022 | 26 | 2022 |
| Saliency-Regularized Deep Multi-task Learning G Bai, L Zhao KDD 2022, 15-25, 2022 | 13 | 2022 |
| Knowledge-enhanced neural machine reasoning: A review T Chowdhury, C Ling, X Zhang, X Zhao, G Bai, J Pei, H Chen, L Zhao arXiv preprint arXiv:2302.02093, 2023 | 8 | 2023 |
| Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs Z Gu, K Zhang, G Bai, L Chen, L Zhao, C Yang ICDE 2023, 2023 | 7 | 2023 |
| Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization Z Chai, G Bai, L Zhao, Y Cheng arXiv preprint arXiv:2206.00057, 1-20, 2022 | 5* | 2022 |
| Sign-Regularized Multi-task Learning G Bai, J Torres, J Wang, L Zhao, C Abad, C Vaca SDM 2023, 793-801, 2023 | 4* | 2023 |
| Deep Spatial Domain Generalization D Yu, G Bai, Y Li, L Zhao ICDM 2022, 1293-1298, 2022 | 4 | 2022 |
| Uncertainty Quantification for In-Context Learning of Large Language Models C Ling, X Zhao, X Zhang, W Cheng, Y Liu, Y Sun, M Oishi, T Osaki, ... NAACL 2024 Long, 3357-3370, 2024 | 3* | 2024 |
| Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation J Wang, G Bai, W Cheng, Z Chen, L Zhao, H Chen KDD 2024, 2023 | 3 | 2023 |
| Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction G Bai, Z Yu, Z Chai, Y Cheng, L Zhao arXiv preprint arXiv:2308.13466, 2023 | 3 | 2023 |
| Saliency-augmented Memory Completion for Continual Learning G Bai, C Ling, Y Gao, L Zhao SDM 2023, 244-252, 2023 | 3 | 2023 |
| Continuous Temporal Domain Generalization Z Cai, G Bai, R Jiang, X Song, L Zhao arXiv preprint arXiv:2405.16075, 2024 | 1 | 2024 |
| Saliency-Guided Hidden Associative Replay for Continual Learning G Bai, Q Zhao, X Jiang, Y Zhang, L Zhao AMHN Workshop @NeurIPS 2023, 2023 | 1 | 2023 |
| Domain Generalization Deep Graph Transformation S Wang, G Bai, Q Zhu, Z Qin, L Zhao arXiv preprint arXiv:2305.11389, 2023 | 1 | 2023 |
| Deep Causal Generative Models with Property Control Q Zhao, S Wang, G Bai, B Pan, Z Qin, L Zhao arXiv preprint arXiv:2405.16219, 2024 | | 2024 |
| Quantifying uncertainty in graph neural network explanations J Jiang, C Ling, H Li, G Bai, X Zhao, L Zhao Frontiers in big Data 7, 1392662, 2024 | | 2024 |
| Visual Attention-Prompted Prediction and Learning Y Zhang, S Gu, B Pan, G Bai, X Yang, L Zhao IJCAI 2024, 2024 | | 2024 |
| Gradient-Free Adaptive Global Pruning for Pre-trained Language Models G Bai, Y Li, C Ling, K Kim, L Zhao arXiv preprint arXiv:2402.17946, 2024 | | 2024 |
Liang ZhaoEmory University在 emory.edu 的电子邮件经过验证
Liang ZhaoEmory University在 emory.edu 的电子邮件经过验证