Follow
Yi He
Yi He
Old Dominion University, Assistant Professor of Computer Science
Verified email at odu.edu - Homepage
Title
Cited by
Cited by
Year
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
982019
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, 2020
632020
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, 2019
432019
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, 2021
302021
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
182019
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
152020
A data-aware latent factor model for Web service QoS prediction
D Wu, X Luo, M Shang, Y He, G Wang, X Wu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 384-399, 2019
142019
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
82019
Online learning in variable feature spaces under incomplete supervision
Y He, X Yuan, S Chen, X Wu
AAAI 35 (5), 4106-4114, 2021
62021
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
62018
Generating Precise Error Specifications for C: A Zero Shot Learning Approach
B Wu, J Campora, Y He, A Schlecht, S Chen
OOPSLA 2019, 2019
52019
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
52018
On Partial Multi-Task Learning
Y He, B Wu, D Wu, X Wu
ECAI 2020 325, 1174 - 1181, 0
3*
Unsupervised Lifelong Learning with Curricula
Y He, S Chen, B Wu, X Yuan, X Wu
Proceedings of the Web Conference 2021, 3534-3545, 2021
22021
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
12021
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
12021
Deep matrix tri-factorization: Mining vertex-wise interactions in multi-space attributed graphs
Y He, S Chen, T Nguyen, BA Wade, X Wu
Proceedings of the 2020 SIAM International Conference on Data Mining, 334-342, 2020
12020
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
2022
Online Deep Learning from Doubly-Streaming Data
H Lian, JS Atwood, B Hou, J Wu, Y He
arXiv preprint arXiv:2204.11793, 2022
2022
Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices
D Wu, Y He, X Luo
arXiv preprint arXiv:2204.07818, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20