| Network traffic prediction and result analysis based on seasonal ARIMA and correlation coefficient Y Yu, J Wang, M Song, J Song 2010 International Conference on Intelligent System Design and Engineering …, 2010 | 89 | 2010 |
| Network intrusion detection based on stacked sparse autoencoder and binary tree ensemble method B Zhang, Y Yu, J Li 2018 IEEE International Conference on Communications Workshops (ICC …, 2018 | 81 | 2018 |
| Traffic prediction in 3G mobile networks based on multifractal exploration Y Yu, M Song, Y Fu, J Song Tsinghua Science and Technology 18 (4), 398-405, 2013 | 51 | 2013 |
| Big data and computational intelligence in networking Y Wu, F Hu, G Min, AY Zomaya CRC Press, 2017 | 43 | 2017 |
| 大数据 (3) 于艳华， 宋美娜 中兴通讯技术 19 (3), 57-62, 2013 | 30 | 2013 |
| Intent-aware recommendation via disentangled graph contrastive learning Y Wang, X Wang, X Huang, Y Yu, H Li, M Zhang, Z Guo, W Wu arXiv preprint arXiv:2403.03714, 2024 | 22 | 2024 |
| Diversified multiple instance learning for document-level multi-aspect sentiment classification Y Ji, H Liu, B He, X Xiao, H Wu, Y Yu Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 22 | 2020 |
| Graphedit: Large language models for graph structure learning Z Guo, L Xia, Y Yu, Y Wang, Z Yang, W Wei, L Pang, TS Chua, C Huang arXiv preprint arXiv:2402.15183, 2024 | 20 | 2024 |
| Can Small Language Models be Good Reasoners for Sequential Recommendation? Y Wang, C Tian, B Hu, Y Yu, Z Liu, Z Zhang, J Zhou, L Pang, X Wang Proceedings of the ACM on Web Conference 2024, 3876-3887, 2024 | 17 | 2024 |
| 改进的基于支持向量机的网络综合评价策略 于艳华， 宋梅， 潘阳发， 宋俊德 北京邮电大学学报 30 (6), 85, 2007 | 15 | 2007 |
| Residuals-based deep least square support vector machine with redundancy test based model selection to predict time series Y Yu, J Li Tsinghua Science and Technology 24 (6), 706-715, 2019 | 12 | 2019 |
| Network traffic analysis and prediction based on APM Y Yu, M Song, Z Ren, J Song 2011 6th International Conference on Pervasive Computing and Applications …, 2011 | 11 | 2011 |
| Ensemble multi-relational graph neural networks Y Wang, H Xu, Y Yu, M Zhang, Z Li, Y Yang, W Wu arXiv preprint arXiv:2205.12076, 2022 | 10 | 2022 |
| 基于强化学习的知识图谱研究综述 马昂,于艳华,蔡修秀,李劼,石川杨胜利 计算机研究与发展, 2022 | 10 | 2022 |
| Lightrag: Simple and fast retrieval-augmented generation Z Guo, L Xia, Y Yu, T Ao, C Huang | 9 | 2024 |
| Cross-view hypergraph contrastive learning for attribute-aware recommendation A Ma, Y Yu, C Shi, Z Guo, TS Chua Information Processing & Management 61 (4), 103701, 2024 | 8 | 2024 |
| Deep Unsupervised Momentum Contrastive Hashing for Cross-modal Retrieval K Lu, Y Yu, M Liang, M Zhang, X Cao, Z Zhao, M Yin, Z Xue 2023 IEEE International Conference on Multimedia and Expo (ICME), 126-131, 2023 | 7 | 2023 |
| 词位置分布加权 TextRank 的关键词提取 刘竹辰， 陈浩， 于艳华， 李劼 数据分析与知识发现 2 (9), 74-79, 2018 | 7 | 2018 |
| Adversarial training for supervised relation extraction Y Yu, K He, J Li Tsinghua Science and Technology 27 (3), 610-618, 2021 | 6 | 2021 |
| A new hyper-parameters selection approach for support vector machines to predict time series Y Yu, J Song, Z Ren Pervasive Computing and the Networked World: Joint International Conference …, 2013 | 6 | 2013 |
Tat-Seng ChuaNational University of SingaporeVerified email at comp.nus.edu.sg