| Searching to exploit memorization effect in learning with noisy labels Q Yao, H Yang, B Han, G Niu, JTY Kwok International Conference on Machine Learning, 10789-10798, 2020 | 125* | 2020 |
| Music Genre Classification Using Duplicated Convolutional Layers in Neural Networks. H Yang, WQ Zhang Interspeech, 3382-3386, 2019 | 30 | 2019 |
| An adaptive policy to employ sharpness-aware minimization W Jiang, H Yang, Y Zhang, J Kwok arXiv preprint arXiv:2304.14647, 2023 | 17 | 2023 |
| Efficient variance reduction for meta-learning H Yang, J Kwok International Conference on Machine Learning, 25070-25095, 2022 | 11 | 2022 |
| Leveraging per image-token consistency for vision-language pre-training Y Gou, T Ko, H Yang, J Kwok, Y Zhang, M Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Positive-unlabeled node classification with structure-aware graph learning H Yang, Y Zhang, Q Yao, J Kwok Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 3 | 2023 |
| Efficient low-rank semidefinite programming with robust loss functions Q Yao, H Yang, EL Hu, JT Kwok IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6153 …, 2021 | 3 | 2021 |
| Loss-aware curriculum learning for heterogeneous graph neural networks ZH Wong, H Yang, X Fu, Q Yao arXiv preprint arXiv:2402.18875, 2024 | 2 | 2024 |
| Efficient hyper-parameter optimization with cubic regularization Z Shen, H Yang, Y Li, J Kwok, Q Yao Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning H Yang, JT Kwok arXiv preprint arXiv:2406.13183, 2024 | | 2024 |
| Mixup Augmentation with Multiple Interpolations L Shen, J Yu, H Yang, JT Kwok arXiv preprint arXiv:2406.01417, 2024 | | 2024 |
| Searching to Exploit Memorization Effect in Deep Learning with Noisy Labels H Yang, Q Yao, B Han, JT Kwok IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |
| Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks Z Hao Wong, H Yang, X Fu, Q Yao arXiv e-prints, arXiv: 2402.18875, 2024 | | 2024 |
| Topology-aware Tensor Decomposition for Meta-graph Learning H Yang, P Zhang, Q Yao arXiv preprint arXiv:2101.01078, 2021 | | 2021 |
| TENSORIZING SUBGRAPH SEARCH IN THE SUPERNET H Yang, Q Yao, J Kwok CoRR, 2021 | | 2021 |
| Communication-efficient Random-Walk Optimizer for Decentralized Learning H Yang, J Kwok | | |
Quanming YaoAssistant Professor, EE Department, Tsinghua UniversityVerified email at tsinghua.edu.cn
