Graph representation learning via graphical mutual information maximization Z Peng, W Huang, M Luo, Q Zheng, Y Rong, T Xu, J Huang Proceedings of The Web Conference 2020, 259-270, 2020 | 503 | 2020 |
An adaptive semisupervised feature analysis for video semantic recognition M Luo, X Chang, L Nie, Y Yang, AG Hauptmann, Q Zheng IEEE transactions on cybernetics 48 (2), 648-660, 2017 | 320 | 2017 |
Adaptive unsupervised feature selection with structure regularization M Luo, F Nie, X Chang, Y Yang, AG Hauptmann, Q Zheng IEEE transactions on neural networks and learning systems 29 (4), 944-956, 2017 | 234 | 2017 |
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. Z Peng, M Luo, J Li, H Liu, Q Zheng IJCAI 18, 3513-3519, 2018 | 141 | 2018 |
Self-weighted robust LDA for multiclass classification with edge classes C Yan, X Chang, M Luo, Q Zheng, X Zhang, Z Li, F Nie ACM Transactions on Intelligent Systems and Technology (TIST) 12 (1), 1-19, 2020 | 113 | 2020 |
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 | 101 | 2022 |
Twibot-20: A comprehensive twitter bot detection benchmark S Feng, H Wan, N Wang, J Li, M Luo Proceedings of the 30th ACM international conference on information …, 2021 | 98 | 2021 |
Secure content delivery with edge nodes to save caching resources for mobile users in green cities Q Xu, Z Su, Q Zheng, M Luo, B Dong IEEE Transactions on Industrial Informatics 14 (6), 2550-2559, 2017 | 85 | 2017 |
Simple to Complex Cross-modal Learning to Rank M Luo, X Chang, Y Yang, L Nie, AG Hauptmann, Q Zheng Computer Vision and Image Understanding, 2017 | 82 | 2017 |
BotRGCN: Twitter bot detection with relational graph convolutional networks S Feng, H Wan, N Wang, M Luo Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021 | 76 | 2021 |
Scalable attack on graph data by injecting vicious nodes J Wang, M Luo, F Suya, J Li, Z Yang, Q Zheng Data Mining and Knowledge Discovery 34, 1363-1389, 2020 | 72 | 2020 |
Hierarchical structured sparse representation for T–S fuzzy systems identification M Luo, F Sun, H Liu IEEE Transactions on Fuzzy Systems 21 (6), 1032-1043, 2013 | 69 | 2013 |
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 | 67 | 2020 |
Semantics-guided contrastive network for zero-shot object detection C Yan, X Chang, M Luo, H Liu, X Zhang, Q Zheng IEEE transactions on pattern analysis and machine intelligence, 2022 | 65 | 2022 |
Semantics-preserving graph propagation for zero-shot object detection C Yan, Q Zheng, X Chang, M Luo, CH Yeh, AG Hauptman IEEE Transactions on Image Processing 29, 8163-8176, 2020 | 63 | 2020 |
Twibot-22: Towards graph-based twitter bot detection S Feng, Z Tan, H Wan, N Wang, Z Chen, B Zhang, Q Zheng, W Zhang, ... Advances in Neural Information Processing Systems 35, 35254-35269, 2022 | 60 | 2022 |
Heterogeneity-aware twitter bot detection with relational graph transformers S Feng, Z Tan, R Li, M Luo Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3977-3985, 2022 | 58 | 2022 |
Self-supervised graph representation learning via global context prediction Z Peng, Y Dong, M Luo, XM Wu, Q Zheng arXiv preprint arXiv:2003.01604, 2020 | 55 | 2020 |
A deep multi-view framework for anomaly detection on attributed networks Z Peng, M Luo, J Li, L Xue, Q Zheng IEEE Transactions on Knowledge and Data Engineering 34 (6), 2539-2552, 2020 | 54 | 2020 |
Avoiding optimal mean robust PCA/2DPCA with non-greedy l1-norm maximization M Luo, F Nie, X Chang, Y Yang, A Hauptmann, Q Zheng Proceedings of International Joint Conference on Artificial Intelligence …, 2016 | 53 | 2016 |