| Godec: Randomized low-rank & sparse matrix decomposition in noisy case T Zhou, D Tao International Conference on Machine Learning 3, 2, 2011 | 756 | 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 | 723 | 2017 |
| 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 | 196 | 2011 |
| 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 | 156 | 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 | 134 | 2018 |
| Curriculum-guided hindsight experience replay M Fang, T Zhou, Y Du, L Han, Z Zhang NeurIPS 2019, 2019 | 100 | 2019 |
| 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 | 87 | 2020 |
| 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 | 85 | 2019 |
| Double Shrinking Sparse Dimension Reduction T Zhou, D Tao IEEE Transactions on Image Processing (TIP), 2012 | 80 | 2012 |
| Bilateral random projections T Zhou, D Tao 2012 IEEE International Symposium on Information Theory Proceedings, 1286-1290, 2012 | 72 | 2012 |
| Greedy bilateral sketch, completion & smoothing T Zhou, D Tao Artificial Intelligence and Statistics, 650-658, 2013 | 71 | 2013 |
| Compressed labeling on distilled labelsets for multi-label learning T Zhou, D Tao, X Wu Machine Learning, 1-58, 2012 | 69 | 2012 |
| 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 | 68 | 2019 |
| 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 | 66 | 2021 |
| NESVM: A fast gradient method for support vector machines T Zhou, D Tao, X Wu 2010 IEEE International Conference on Data Mining, 679-688, 2010 | 60 | 2010 |
| 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 | 59 | 2019 |
| Attribute Propagation Network for Graph Zero-shot Learning L Liu, T Zhou, G Long, J Jiang, C Zhang AAAI 2020, 2019 | 49 | 2019 |
| Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity T Zhou, J Bilmes International Conference on Learning Representations (ICLR), https …, 2018 | 45 | 2018 |
| Robust Curriculum Learning: from clean label detection to noisy label self-correction T Zhou, S Wang, J Bilmes ICLR 2021, https://openreview.net/pdf?id=lmTWnm3coJJ, 2021 | 43 | 2021 |
| 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 | 42 | 2022 |
Guodong LongAssociate Professor, Faculty of Engineering and IT, University of Technology SydneyVerified email at uts.edu.au
