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Yi He
Yi He
William & Mary, Assistant Professor of Data Science
在 wm.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1902020
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
1842019
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
1422021
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
1222019
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 16 (2), 802-814, 2022
662022
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
652022
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
422020
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
422019
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
282021
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
232019
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
192019
Quantitative combination load forecasting model based on forecasting error optimization
S Deng, F Chen, D Wu, Y He, H Ge, Y Ge
Computers and Electrical Engineering 101, 108125, 2022
182022
A quantitative risk assessment model for distribution cyber-physical system under cyberattack
S Deng, J Zhang, D Wu, Y He, X Xie, X Wu
IEEE Transactions on Industrial Informatics 19 (3), 2899-2908, 2022
162022
Towards fair machine learning software: Understanding and addressing model bias through counterfactual thinking
Z Wang, Y Zhou, M Qiu, I Haque, L Brown, Y He, J Wang, D Lo, W Zhang
arXiv preprint arXiv:2302.08018, 2023
142023
Online learning in variable feature spaces with mixed data
Y He, J Dong, BJ Hou, Y Wang, F Wang
2021 IEEE International Conference on Data Mining (ICDM), 181-190, 2021
132021
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 35 (3), 2975-2986, 2021
132021
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
132018
Camouflaged poisoning attack on graph neural networks
C Jiang, Y He, R Chapman, H Wu
Proceedings of the 2022 International Conference on Multimedia Retrieval …, 2022
112022
Interpretable minority synthesis for imbalanced classification
Y He, F Lin, NF Tzeng
International Joint Conferences on Artificial Intelligence, 2021
112021
Online deep learning from doubly-streaming data
H Lian, JS Atwood, BJ Hou, J Wu, Y He
Proceedings of the 30th ACM International Conference on Multimedia, 3185-3194, 2022
102022
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