| Large margin distribution machine T Zhang, ZH Zhou Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 131 | 2014 |
| Optimal margin distribution machine T Zhang, ZH Zhou IEEE Transactions on Knowledge and Data Engineering 32 (6), 1143-1156, 2019 | 94 | 2019 |
| Efficient label contamination attacks against black-box learning models. M Zhao, B An, W Gao, T Zhang IJCAI, 3945-3951, 2017 | 90 | 2017 |
| Multi-class optimal margin distribution machine T Zhang, ZH Zhou International Conference on Machine Learning, 4063-4071, 2017 | 37 | 2017 |
| Optimal margin distribution clustering T Zhang, ZH Zhou Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 35 | 2018 |
| Semi-Supervised Optimal Margin Distribution Machines. T Zhang, ZH Zhou IJCAI, 3104-3110, 2018 | 23 | 2018 |
| Partial Multi-Label Optimal Margin Distribution Machine. N Cao, T Zhang, H Jin IJCAI, 2198-2204, 2021 | 15 | 2021 |
| Detecting arbitrage on ethereum through feature fusion and positive-unlabeled learning H Jin, C Li, J Xiao, T Zhang, X Dai, B Li IEEE Journal on Selected Areas in Communications 40 (12), 3660-3671, 2022 | 14 | 2022 |
| Optimal margin distribution machine for multi-instance learning T Zhang, H Jin Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 13 | 2021 |
| Optimal margin distribution learning in dynamic environments T Zhang, P Zhao, H Jin Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6821-6828, 2020 | 6 | 2020 |
| Coreset stochastic variance-reduced gradient with application to optimal margin distribution machine ZH Tan, T Zhang, W Wang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5083-5090, 2019 | 4 | 2019 |
| Machine learning based peri-surgical risk calculator for abdominal related emergency general surgery: a multicenter retrospective study B Chen, W Sheng, Z Wu, B Ma, N Cao, X Li, J Yang, X Yuan, L Yan, G Zhu, ... International Journal of Surgery 110 (6), 3527-3535, 2024 | 3 | 2024 |
| Entropy weight allocation: Positive-unlabeled learning via optimal transport W Gu, T Zhang, H Jin Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 3 | 2022 |
| Enhance temporal knowledge graph completion via time-aware attention graph convolutional network H Wei, H Huang, T Zhang, X Shi, H Jin Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 2 | 2022 |
| Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution. N Cao, T Zhang, X Shi, H Jin IJCAI, 2836-2842, 2022 | 2 | 2022 |
| Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection H Li, T Zhang arXiv preprint arXiv:2501.16718, 2025 | 1 | 2025 |
| Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation M Li, X Shi, C Qiao, T Zhang, H Jin arXiv preprint arXiv:2412.12158, 2024 | 1 | 2024 |
| Incremental and Decremental Optimal Margin Distribution Learning. LJ Chen, T Zhang, X Shi, H Jin IJCAI, 3523-3531, 2023 | 1 | 2023 |
| On the optimization of margin distribution MZ Qian, Z Ai, T Zhang, W Gao arXiv preprint arXiv:2204.14118, 2022 | 1 | 2022 |
| E2CNN: entity-type-enriched cascaded neural network for Chinese financial relation extraction M Li, X Shi, C Qiao, X Huang, W Wang, Y Wan, T Zhang, H Jin Frontiers of Computer Science 19 (10), 1910352, 2025 | | 2025 |
