| TN-ZSTAD: Transferable network for zero-shot temporal activity detection L Zhang, X Chang, J Liu, M Luo, Z Li, L Yao, A Hauptmann IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3848-3861, 2022 | 114 | 2022 |
| Graph few-shot learning with attribute matching N Wang, M Luo, K Ding, L Zhang, J Li, Q Zheng Proceedings of the 29th ACM International Conference on Information …, 2020 | 82 | 2020 |
| Incorporating context graph with logical reasoning for inductive relation prediction Q Lin, J Liu, F Xu, Y Pan, Y Zhu, L Zhang, T Zhao Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 53 | 2022 |
| Few-shot activity recognition with cross-modal memory network L Zhang, X Chang, J Liu, M Luo, M Prakash, AG Hauptmann Pattern Recognition 108, 107348, 2020 | 46 | 2020 |
| Distributed extreme learning machine with alternating direction method of multiplier M Luo, L Zhang, J Liu, J Guo, Q Zheng Neurocomputing 261, 164-170, 2017 | 41 | 2017 |
| Zstad: Zero-shot temporal activity detection L Zhang, X Chang, J Liu, M Luo, S Wang, Z Ge, A Hauptmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 39 | 2020 |
| Diverse fuzzy c-means for image clustering L Zhang, M Luo, J Liu, Z Li, Q Zheng Pattern Recognition Letters 130, 275-283, 2020 | 37 | 2020 |
| Scheduled sampling for one-shot learning via matching network L Zhang, J Liu, M Luo, X Chang, Q Zheng, AG Hauptmann Pattern Recognition 96, 106962, 2019 | 36 | 2019 |
| Rule-enhanced iterative complementation for knowledge graph reasoning Q Lin, J Liu, Y Pan, L Zhang, X Hu, J Ma Information Sciences 575, 66-79, 2021 | 33 | 2021 |
| Deep Top- Ranking for Image–Sentence Matching L Zhang, M Luo, J Liu, X Chang, Y Yang, AG Hauptmann IEEE Transactions on Multimedia 22 (3), 775-785, 2019 | 33 | 2019 |
| Auto-FSL: Searching the attribute consistent network for few-shot learning L Zhang, S Wang, X Chang, J Liu, Z Ge, Q Zheng IEEE Transactions on Circuits and Systems for Video Technology 32 (3), 1213-1223, 2021 | 31 | 2021 |
| Logiformer: A two-branch graph transformer network for interpretable logical reasoning F Xu, J Liu, Q Lin, Y Pan, L Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 27 | 2022 |
| RPMG-FSS: Robust prior mask guided few-shot semantic segmentation L Zhang, X Zhang, Q Wang, W Wu, X Chang, J Liu IEEE Transactions on Circuits and Systems for Video Technology 33 (11), 6609 …, 2023 | 25 | 2023 |
| MuL-GRN: Multi-level graph relation network for few-shot node classification L Zhang, S Wang, J Liu, X Chang, Q Lin, Y Wu, Q Zheng IEEE Transactions on Knowledge and Data Engineering 35 (6), 6085-6098, 2022 | 25 | 2022 |
| Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression. M Luo, L Zhang, F Nie, X Chang, B Qian, Q Zheng IJCAI, 2421-2427, 2017 | 24 | 2017 |
| Contrastive graph representations for logical formulas embedding Q Lin, J Liu, L Zhang, Y Pan, X Hu, F Xu, H Zeng IEEE Transactions on Knowledge and Data Engineering 35 (4), 3563-3574, 2021 | 23 | 2021 |
| Deep semisupervised zero-shot learning with maximum mean discrepancy L Zhang, J Liu, M Luo, X Chang, Q Zheng Neural computation 30 (5), 1426-1447, 2018 | 20 | 2018 |
| Inductive relation prediction with logical reasoning using contrastive representations Y Pan, J Liu, L Zhang, T Zhao, Q Lin, X Hu, Q Wang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 19 | 2022 |
| Learning discriminative neural representations for event detection J Liao, X Zhao, X Li, L Zhang, J Tang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 19 | 2021 |
| Large-scale robust semisupervised classification L Zhang, M Luo, Z Li, F Nie, H Zhang, J Liu, Q Zheng IEEE Transactions on Cybernetics 49 (3), 907-917, 2018 | 18 | 2018 |
Minnan LuoProfessor, Xi'an Jiaotong University在 xjtu.edu.cn 的电子邮件经过验证