| Meta-weight-net: Learning an explicit mapping for sample weighting J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng NeurIPS 2019, 2019 | 684 | 2019 |
| Small sample learning in big data era J Shu, Z Xu, D Meng arXiv preprint arXiv:1808.04572, 2018 | 85 | 2018 |
| Variational label enhancement N Xu, J Shu, YP Liu, X Geng International Conference on Machine Learning, 10597-10606, 2020 | 49 | 2020 |
| Learning to Purify Noisy Labels via Meta Soft Label Corrector Y Wu, J Shu, Q Xie, Q Zhao, D Meng AAAI 2021, 2020 | 40 | 2020 |
| Meta Transition Adaptation for Robust Deep Learning with Noisy Labels J Shu, Q Zhao, Z Xu, D Meng arXiv preprint arXiv:2006.05697, 2020 | 26 | 2020 |
| Learning adaptive loss for robust learning with noisy labels J Shu, Q Zhao, K Chen, Z Xu, D Meng arXiv preprint arXiv:2002.06482, 2020 | 22 | 2020 |
| Multi-view based integrative analysis of gene expression data for identifying biomarkers ZY Yang, XY Liu, J Shu, H Zhang, YQ Ren, ZB Xu, Y Liang Scientific reports 9 (1), 13504, 2019 | 21 | 2019 |
| Meta self-paced learning SHU Jun, M Deyu, XU Zongben Scientia Sinica Informationis 50 (6), 781-793, 2020 | 15* | 2020 |
| Cmw-net: Learning a class-aware sample weighting mapping for robust deep learning J Shu, X Yuan, D Meng, Z Xu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 14 | 2023 |
| MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks J Shu, Y Zhu, Q Zhao, D Meng, Z Xu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 11* | 2022 |
| Meta feature modulator for long-tailed recognition R Wang, K Hu, Y Zhu, J Shu, Q Zhao, D Meng arXiv preprint arXiv:2008.03428, 2020 | 11 | 2020 |
| Learning an explicit hyperparameter prediction function conditioned on tasks J Shu, D Meng, Z Xu Journal of Machine Learning Research, 2023 | 10* | 2023 |
| A probabilistic formulation for meta-weight-net Q Zhao, J Shu, X Yuan, Z Liu, D Meng IEEE Transactions on Neural Networks and Learning Systems, 2021 | 7 | 2021 |
| Multinetwork collaborative feature learning for semisupervised person reidentification S Zhou, J Wang, J Shu, D Meng, L Wang, N Zheng IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4826-4839, 2021 | 7 | 2021 |
| SLNL: a novel method for gene selection and phenotype classification HH Huang, NQ Wu, Y Liang, XD Peng, J Shu International Journal of Intelligent Systems 37 (9), 6283-6304, 2022 | 6 | 2022 |
| Improve noise tolerance of robust loss via noise-awareness K Ding, J Shu, D Meng, Z Xu arXiv preprint arXiv:2301.07306, 2023 | 5 | 2023 |
| 元自步学习 束俊， 孟德宇， 徐宗本 中国科学: 信息科学 50 (6), 781-793, 2020 | 4 | 2020 |
| CMW-Net: an adaptive robust algorithm for sample selection and label correction J Shu, X Yuan, D Meng National Science Review 10 (6), nwad084, 2023 | 3 | 2023 |
| Diagnosing batch normalization in class incremental learning M Zhou, Q Wang, J Shu, Q Zhao, D Meng arXiv preprint arXiv:2202.08025, 2022 | 3 | 2022 |
| Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction Z Yang, J Shu, Y Liang, D Meng, Z Xu arXiv preprint arXiv:2009.00792, 2020 | 3 | 2020 |
Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
