| Self-Supervised Representation Learning by Rotation Feature Decoupling Z Feng, C Xu, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 225 | 2019 |
| Self-Supervised Representation Learning From Multi-Domain Data Z Feng, C Xu, D Tao Proceedings of the IEEE International Conference on Computer Vision, 3245-3255, 2019 | 54 | 2019 |
| Open-Set Hypothesis Transfer with Semantic Consistency Z Feng, C Xu, D Tao arXiv preprint arXiv:2010.00292, 2020 | 14 | 2020 |
| Historical Gradient Boosting Machine. Z Feng, C Xu, D Tao GCAI, 68-80, 2018 | 11 | 2018 |
| Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries S Yang, Z Feng, P Du, B Du, C Xu 2021 IEEE International Conference on Data Mining (ICDM), 807-816, 2021 | 3 | 2021 |
| Safety-Constrained Policy Transfer with Successor Features Z Feng, B Zhang, J Bi, H Soh arXiv preprint arXiv:2211.05361, 2022 | 2 | 2022 |
| LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning Z Feng, H Luan, P Goyal, H Soh arXiv preprint arXiv:2405.04235, 2024 | | 2024 |
| Learning Deep Representations from Unlabelled Data for Visual Recognition Z Feng | | 2021 |
| Open-Set Hypothesis Transfer With Semantic Consistency Open Website Z Feng, C Xu, D Tao | | |
