| A survey of clustering with deep learning: From the perspective of network architecture E Min, X Guo, Q Liu, G Zhang, J Cui, J Long IEEE Access 6, 39501-39514, 2018 | 651 | 2018 |
| TR‐IDS: Anomaly‐based intrusion detection through text‐convolutional neural network and random forest E Min, J Long, Q Liu, J Cui, W Chen Security and Communication Networks 2018 (1), 4943509, 2018 | 198 | 2018 |
| Transformer for graphs: An overview from architecture perspective E Min, R Chen, Y Bian, T Xu, K Zhao, W Huang, P Zhao, J Huang, ... arXiv preprint arXiv:2202.08455, 2022 | 164 | 2022 |
| Ptfuzz: Guided fuzzing with processor trace feedback G Zhang, X Zhou, Y Luo, X Wu, E Min IEEE Access 6, 37302-37313, 2018 | 85 | 2018 |
| Su-ids: A semi-supervised and unsupervised framework for network intrusion detection E Min, J Long, Q Liu, J Cui, Z Cai, J Ma Cloud Computing and Security: 4th International Conference, ICCCS 2018 …, 2018 | 81 | 2018 |
| Divide-and-conquer: Post-user interaction network for fake news detection on social media E Min, Y Rong, Y Bian, T Xu, P Zhao, J Huang, S Ananiadou Proceedings of the ACM web conference 2022, 1148-1158, 2022 | 78 | 2022 |
| Neighbour interaction based click-through rate prediction via graph-masked transformer E Min, Y Rong, T Xu, Y Bian, D Luo, K Lin, J Huang, S Ananiadou, P Zhao Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 48* | 2022 |
| Comparative study of CNN and RNN for deep learning based intrusion detection system J Cui, J Long, E Min, Q Liu, Q Li Cloud Computing and Security: 4th International Conference, ICCCS 2018 …, 2018 | 40 | 2018 |
| WEDL-NIDS: Improving network intrusion detection using word embedding-based deep learning method J Cui, J Long, E Min, Y Mao Modeling Decisions for Artificial Intelligence: 15th International …, 2018 | 22 | 2018 |
| SVRG with adaptive epoch size E Min, Y Zhao, J Long, C Wu, K Li, J Yin 2017 International Joint Conference on Neural Networks (IJCNN), 2935-2942, 2017 | 8 | 2017 |
| Analysis of the variance reduction in SVRG and a new acceleration method E Min, J Long, J Cui IEEE Access 6, 16165-16175, 2018 | 6 | 2018 |
| Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction E Min, D Luo, K Lin, C Huang, Y Liu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Sentiment-aware emoji insertion via sequence tagging F Lin, Y Song, X Ma, E Min, B Liu IEEE MultiMedia 28 (2), 40-48, 2021 | 4 | 2021 |
| Variance reduced stochastic optimization for PCA and PLS E Min, J Cui, J Long 2017 10th International Symposium on Computational Intelligence and Design …, 2017 | 4 | 2017 |
| Graphlearner: Graph node clustering with fully learnable augmentation X Yang, E Min, K Liang, Y Liu, S Wang, S Zhou, H Wu, X Liu, E Zhu Proceedings of the 32nd ACM International Conference on Multimedia, 5517-5526, 2024 | 2 | 2024 |
| Darec: A disentangled alignment framework for large language model and recommender system X Yang, H Jing, Z Zhang, J Wang, H Niu, S Wang, Y Lu, J Wang, D Yin, ... arXiv preprint arXiv:2408.08231, 2024 | 2 | 2024 |
| Hyperbolic Contrastive Learning for Cross-Domain Recommendation X Yang, H Chang, Z Lai, J Yang, X Li, Y Lu, S Wang, D Yin, E Min Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
| LLMs+ Persona-Plug= Personalized LLMs J Liu, Y Zhu, S Wang, X Wei, E Min, Y Lu, S Wang, D Yin, Z Dou arXiv preprint arXiv:2409.11901, 2024 | | 2024 |
| Selective Preference Optimization via Token-Level Reward Function Estimation K Yang, Z Liu, Q Xie, J Huang, E Min, S Ananiadou arXiv preprint arXiv:2408.13518, 2024 | | 2024 |
| Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System X Yang, H Chang, Z Lai, J Yang, X Li, Y Lu, S Wang, D Yin, E Min arXiv preprint arXiv:2406.17289, 2024 | | 2024 |
Qiang LiuNational University of Defense Technologynudt.edu.cn의 이메일 확인됨