| A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems D Wu, L Xin, M Shang, Y He, G Wang, MC Zhou IEEE Transactions on Systems, Man and Cybernetics: Systems, 2019 | 151 | 2019 |
| A data-characteristic-aware latent factor model for web services QoS prediction D Wu, X Luo, M Shang, Y He, G Wang, X Wu IEEE Transactions on Knowledge and Data Engineering 34 (6), 2525-2538, 2020 | 141 | 2020 |
| A posterior-neighborhood-regularized latent factor model for highly accurate web service QoS prediction D Wu, Q He, X Luo, M Shang, Y He, G Wang IEEE Transactions on Services Computing 15 (2), 793-805, 2019 | 101 | 2019 |
| A latent factor analysis-based approach to online sparse streaming feature selection D Wu, Y He, X Luo, MC Zhou IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (11), 6744-6758, 2021 | 93 | 2021 |
| Online Learning from Capricious Data Streams: A Generative Approach Y He, B Wu, D Wu, E Beyazit, S Chen, X Wu the 28th International Joint Conference on Artificial Intelligence, 2019 | 28 | 2019 |
| Toward mining capricious data streams: A generative approach Y He, B Wu, D Wu, E Beyazit, S Chen, X Wu IEEE transactions on neural networks and learning systems 32 (3), 1228-1240, 2020 | 23 | 2020 |
| A double-space and double-norm ensembled latent factor model for highly accurate web service QoS prediction D Wu, P Zhang, Y He, X Luo IEEE Transactions on Services Computing, 2022 | 22 | 2022 |
| A data-aware latent factor model for web service QoS prediction D Wu, X Luo, M Shang, Y He, G Wang, X Wu Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 21 | 2019 |
| A prediction-sampling-based multilayer-structured latent factor model for accurate representation to high-dimensional and sparse data D Wu, X Luo, Y He, MC Zhou IEEE Transactions on Neural Networks and Learning Systems, 2022 | 17 | 2022 |
| Online feature selection with capricious streaming features: A general framework D Wu, Y He, X Luo, M Shang, X Wu 2019 IEEE International Conference on Big Data (Big Data), 683-688, 2019 | 14 | 2019 |
| Online learning in variable feature spaces under incomplete supervision Y He, X Yuan, S Chen, X Wu Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4106-4114, 2021 | 11 | 2021 |
| Supervised data synthesizing and evolving–a framework for real-world traffic crash severity classification Y He, D Wu, E Beyazit, X Sun, X Wu 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 11 | 2018 |
| On Partial Multi-Task Learning Y He, B Wu, D Wu, X Wu ECAI 2020 325, 1174 - 1181, 0 | 8* | |
| A quantitative risk assessment model for distribution cyber physical system under cyber attack S Deng, J Zhang, D Wu, Y He, X Xie, X Wu IEEE Transactions on Industrial Informatics, 2022 | 7 | 2022 |
| Online streaming feature selection via conditional independence D You, X Wu, L Shen, Y He, X Yuan, Z Chen, S Deng, C Ma Applied Sciences 8 (12), 2548, 2018 | 7 | 2018 |
| Toward auto-learning hyperparameters for deep learning-based recommender systems B Sun, D Wu, M Shang, Y He Database Systems for Advanced Applications: 27th International Conference …, 2022 | 5 | 2022 |
| Privacy-preserving multi-granular federated neural architecture search a general framework Z Pan, L Hu, W Tang, J Li, Y He, Z Liu IEEE Transactions on Knowledge and Data Engineering, 2021 | 5 | 2021 |
| Generating Precise Error Specifications for C: A Zero Shot Learning Approach B Wu, J Campora, Y He, A Schlecht, S Chen OOPSLA 2019, 2019 | 5 | 2019 |
| Unsupervised lifelong learning with curricula Y He, S Chen, B Wu, X Yuan, X Wu Proceedings of the Web Conference 2021, 3534-3545, 2021 | 4 | 2021 |
| An ensemble latent factor model for highly accurate web service qos prediction P Zhang, Y He, D Wu 2021 IEEE International Conference on Big Knowledge (ICBK), 361-368, 2021 | 3 | 2021 |
Xindong WuHefei University of Technology在 hfut.edu.cn 的电子邮件经过验证
