| 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 | 25 | 2022 |
| Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks G Bai, C Ling, L Zhao ICLR 2023, 2022 | 21 | 2022 |
| 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 | 13 | 2024 |
| Saliency-Regularized Deep Multi-task Learning G Bai, L Zhao KDD 2022, 15-25, 2022 | 11 | 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 | 6 | 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 |
| Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation J Wang, G Bai, W Cheng, Z Chen, L Zhao, H Chen arXiv preprint arXiv:2312.12276, 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 |
| Deep Spatial Domain Generalization D Yu, G Bai, Y Li, L Zhao ICDM 2022, 1293-1298, 2022 | 2 | 2022 |
| Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models C Ling, X Zhao, W Cheng, Y Liu, Y Sun, X Zhang, M Oishi, T Osaki, ... NAACL 2024, 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 |
| 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 |
| Estimation of daily PM2. 5 concentration using a geographically weighted neural network Y Li, G Bai, D Yu, L Zhao AGU23, 2023 | | 2023 |
| 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, 0 | | |
Liang ZhaoEmory UniversityVerified email at emory.edu
Liang ZhaoEmory UniversityVerified email at emory.edu