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Yi He
Yi He
Old Dominion University, Assistant Professor of Computer Science
Verified email at cs.odu.edu - Homepage
Title
Cited by
Cited by
Year
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
1812020
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
1802019
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
1322021
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
1182019
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
572022
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
572022
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
382019
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
352020
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 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
212021
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
182019
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
152022
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
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
112023
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
112022
Toward auto-learning hyperparameters for deep learning-based recommender systems
B Sun, D Wu, M Shang, Y He
International Conference on Database Systems for Advanced Applications, 323-331, 2022
102022
Internet-based medication management services improve glycated hemoglobin levels in patients with type 2 diabetes
Z Lu, Y Li, Y He, Y Zhai, J Wu, J Wang, Z Zhao
Telemedicine and e-Health 27 (6), 686-693, 2021
102021
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
102018
On Partial Multi-Task Learning
Y He, B Wu, D Wu, X Wu
ECAI 2020 325, 1174 - 1181, 0
10*
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
92022
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