| MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models L Yu*, W Jiang*, H Shi, J Yu, Z Liu, Y Zhang, JT Kwok, Z Li, A Weller, ... ICLR 2024, 2024 | 195 | 2024 |
| Subspace Learning for Effective Meta-Learning W Jiang, JT Kwok, Y Zhang ICML 2022, 2022 | 25 | 2022 |
| An Adaptive Policy to Employ Sharpness-Aware Minimization W Jiang, H Yang, Y Zhang, J Kwok ICLR 2023, 2023 | 20 | 2023 |
| Forward-Backward Reasoning in Large Language Models for Mathematical Verification W Jiang, H Shi, L Yu, Z Liu, Y Zhang, Z Li, JT Kwok Findings of ACL 2024, 2023 | 14* | 2023 |
| Effective Structured Prompting by Meta-Learning and Representative Verbalizer W Jiang, Y Zhang, J Kwok ICML 2023, 2023 | 13 | 2023 |
| Dual-Balancing for Multi-Task Learning B Lin, W Jiang, F Ye, Y Zhang, P Chen, YC Chen, S Liu arXiv preprint arXiv:2308.12029, 2023 | 5 | 2023 |
| Effective Meta-Regularization by Kernelized Proximal Regularization W Jiang, JT Kwok, Y Zhang NeurIPS 2021, 2021 | 5 | 2021 |
| Rendering Graphs for Graph Reasoning in Multimodal Large Language Models Y Wei, S Fu, W Jiang, JT Kwok, Y Zhang arXiv preprint arXiv:2402.02130, 2024 | 3 | 2024 |
| Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation Y Zhang, S Chen, W Jiang, Y Zhang, J Lu, JT Kwok arXiv preprint arXiv:2309.14360, 2023 | 3 | 2023 |
| SEEN: Few-Shot Classification with SElf-ENsemble W Jiang, Y Zhang, JT Kwok IJCNN 2021, 2021 | 3 | 2021 |
| Scalable Learned Model Soup on a Single GPU: An Efficient Subspace Training Strategy T Li*, W Jiang*, F Liu, X Huang, JT Kwok ECCV 2024, 2024 | 1 | 2024 |
| MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders B Lin, W Jiang, P Chen, Y Zhang, S Liu, YC Chen ECCV 2024, 2024 | 1 | 2024 |
| Large Language Models as Visual Cross-Domain Learners S Chen, Y Zhang, W Jiang, J Lu, Y Zhang arXiv preprint arXiv:2401.03253, 2024 | 1 | 2024 |
| Effective and Parameter-Efficient Reusing Fine-Tuned Models W Jiang, B Lin, H Shi, Y Zhang, JT Kwok arXiv preprint arXiv:2310.01886, 2023 | 1 | 2023 |
| Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius X Wang*, W Jiang*, S Fu, Y Zhang ECML 2024, 2024 | | 2024 |
| Identification for wiener system with discontinuous piece-wise linear function via sparse optimization W Jiang, HT Fang Chinese Control Conference, 6599-6604, 2014 | | 2014 |
Yu ZhangAssociate Professor, Southern University of Science and Technology在 sustech.edu.cn 的电子邮件经过验证
