| Godec: Randomized low-rank & sparse matrix decomposition in noisy case T Zhou, D Tao International Conference on Machine Learning 3, 2, 2011 | 800 | 2011 |
| Disan: Directional self-attention network for rnn/cnn-free language understanding T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang AAAI 2018, arXiv preprint arXiv:1709.04696, 2017 | 799 | 2017 |
| Multi-center federated learning M Xie, G Long, T Shen, T Zhou, X Wang, J Jiang, C Zhang arXiv preprint arXiv:2005.01026, 2021 | 213* | 2021 |
| Manifold elastic net: a unified framework for sparse dimension reduction T Zhou, D Tao, X Wu Data Mining and Knowledge Discovery 22 (3), 340-371, 2011 | 201 | 2011 |
| Fedproto: Federated prototype learning across heterogeneous clients Y Tan, G Long, L Liu, T Zhou, Q Lu, J Jiang, C Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8432-8440, 2022 | 174 | 2022 |
| Rethinking 1d-cnn for time series classification: A stronger baseline W Tang, G Long, L Liu, T Zhou, J Jiang, M Blumenstein ICLR 2022, arXiv preprint arXiv:2002.10061, 1-7, 2020 | 173* | 2020 |
| Bi-directional block self-attention for fast and memory-efficient sequence modeling T Shen, T Zhou, G Long, J Jiang, C Zhang ICLR 2018, 2018 | 164 | 2018 |
| Reinforced self-attention network: a hybrid of hard and soft attention for sequence modeling T Shen, T Zhou, G Long, J Jiang, S Wang, C Zhang arXiv preprint arXiv:1801.10296 (accepted by IJCAI 2018), 2018 | 147 | 2018 |
| Structure-augmented text representation learning for efficient knowledge graph completion B Wang, T Shen, G Long, T Zhou, Y Wang, Y Chang Proceedings of the Web Conference 2021, 1737-1748, 2021 | 142 | 2021 |
| Curriculum-guided hindsight experience replay M Fang, T Zhou, Y Du, L Han, Z Zhang NeurIPS 2019, 2019 | 137 | 2019 |
| Learning to propagate for graph meta-learning L Liu, T Zhou, G Long, J Jiang, C Zhang NeurIPS 2019, arXiv preprint arXiv:1909.05024, 2019 | 96 | 2019 |
| Double Shrinking Sparse Dimension Reduction T Zhou, D Tao IEEE Transactions on Image Processing (TIP), 2012 | 80 | 2012 |
| Greedy bilateral sketch, completion & smoothing T Zhou, D Tao Artificial Intelligence and Statistics, 650-658, 2013 | 78 | 2013 |
| Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph L Liu, T Zhou, G Long, J Jiang, L Yao, C Zhang IJCAI 2019, 2019 | 77 | 2019 |
| Bilateral random projections T Zhou, D Tao 2012 IEEE International Symposium on Information Theory Proceedings, 1286-1290, 2012 | 77 | 2012 |
| Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction Y Li, G Long, T Shen, T Zhou, L Yao, H Huo, J Jiang AAAI 2020, 2019 | 76 | 2019 |
| Robust curriculum learning: From clean label detection to noisy label self-correction T Zhou, S Wang, J Bilmes International Conference on Learning Representations, 2020 | 74 | 2020 |
| Compressed labeling on distilled labelsets for multi-label learning T Zhou, D Tao, X Wu Machine Learning, 1-58, 2012 | 68 | 2012 |
| Attribute Propagation Network for Graph Zero-shot Learning L Liu, T Zhou, G Long, J Jiang, C Zhang AAAI 2020, 2019 | 67 | 2019 |
| Curriculum Learning by Dynamic Instance Hardness T Zhou, S Wang, JA Bilmes NeurIPS 2020, 2020 | 63 | 2020 |
Jing JiangUniversity of Technology Sydney在 uts.edu.au 的电子邮件经过验证
