| Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack F Wu, M Gao, J Yu, Z Wang, K Liu, X Wang Information Sciences 578, 683-701, 2021 | 29 | 2021 |
| St-gsp: Spatial-temporal global semantic representation learning for urban flow prediction L Zhao, M Gao, Z Wang Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 23 | 2022 |
| A minimax game for generative and discriminative sample models for recommendation Z Wang, M Gao, X Wang, J Yu, J Wen, Q Xiong Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 20 | 2019 |
| Gray-box shilling attack: An adversarial learning approach Z Wang, M Gao, J Li, J Zhang, J Zhong ACM Transactions on Intelligent Systems and Technology (TIST) 13 (5), 1-21, 2022 | 15 | 2022 |
| Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling J Zhang, M Gao, J Yu, L Yang, Z Wang, Q Xiong Neurocomputing 461, 438-449, 2021 | 12 | 2021 |
| Efficient bi-level optimization for recommendation denoising Z Wang, M Gao, W Li, J Yu, L Guo, H Yin Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 11 | 2023 |
| Predictive and contrastive: Dual-auxiliary learning for recommendation Y Tao, M Gao, J Yu, Z Wang, Q Xiong, X Wang IEEE Transactions on Computational Social Systems 10 (5), 2254-2265, 2022 | 10 | 2022 |
| Who are the best adopters? User selection model for free trial item promotion S Wang, C Gao, M Gao, J Yu, Z Wang, H Yin IEEE Transactions on Big Data 9 (2), 746-757, 2022 | 9 | 2022 |
| Ada: Adversarial learning based data augmentation for malicious users detection J Wang, M Gao, Z Wang, C Lin, W Zhou, J Wen Applied Soft Computing 117, 108414, 2022 | 3 | 2022 |
| Poisoning attacks against recommender systems: A survey Z Wang, M Gao, J Yu, H Ma, H Yin, S Sadiq arXiv preprint arXiv:2401.01527, 2024 | 2 | 2024 |
| Poisoning Attacks Against Contrastive Recommender Systems Z Wang, J Yu, M Gao, H Yin, B Cui, S Sadiq arXiv preprint arXiv:2311.18244, 2023 | 1 | 2023 |
| Fine-grained spatial-temporal representation learning with missing data completion for traffic flow prediction S Wang, M Gao, Z Wang, J Wang, F Wu, J Wen International Conference on Collaborative Computing: Networking …, 2021 | 1 | 2021 |
| PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems M Chao, M Gao, J Zhang, Z Wang, Q Zhao, Y He Collaborative Computing: Networking, Applications and Worksharing: 17th EAI …, 2021 | 1 | 2021 |
| Robustness analysis of triangle relations attack in social recommender systems J Wang, M Gao, Z Wang, R Wang, J Wen 2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 557-565, 2020 | 1 | 2020 |
| Poisoning Attacks and Defenses in Recommender Systems: A Survey Z Wang, J Yu, M Gao, G Ye, S Sadiq, H Yin arXiv preprint arXiv:2406.01022, 2024 | | 2024 |
| Ranking Enhanced Fine-Grained Contrastive Learning for Recommendation Y Yao, M Gao, H Zhou, Z Wang, Z Zhao, Q Xiong ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy H Zhou, M Gao, Z Wang, L Guo, Y Tao, W Li 2023 IEEE 35th International Conference on Tools with Artificial …, 2023 | | 2023 |
| Quick Graph Conversion for Robust Recommendation. Z Wang, M Gao, W Li CoRR, 2022 | | 2022 |
| DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation X Wang, M Gao, Z Lu, Z Wang, J Zhang, Y Zhang Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | | 2019 |
Min Gao (高旻)School of Big Data and Software Engineering, Chongqing University (重庆大学大数据与软件学院)在 cqu.edu.cn 的电子邮件经过验证
