Yi He
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
252019
A Posterior-neighborhood-regularized latent factor model for highly accurate web service QoS prediction
DI WU, Q He, X Luo, M Shang, Y He, G Wang
IEEE Transactions on Services Computing, 2019
132019
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
112019
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
102019
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
92020
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
42019
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
42018
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, 2020
32020
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
32018
Generating Precise Error Specifications for C: A Zero Shot Learning Approach
B Wu, J Campora, Y He, A Schlecht, S Chen
OOPSLA 2019, 2019
22019
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
On Partial Multi-Task Learning
Y He, B Wu, D Wu, X Wu
ECAI 2020 325, 1174 - 1181, 0
1*
Online Learning in Variable Feature Spaces under Incomplete Supervision
Y He, X Yuan, S Chen, X Wu
2021
Active Learning with Multi-Granular Graph Auto-Encoder
Y He, X Yuan, NF Tzeng, X Wu
2020 IEEE International Conference on Data Mining (ICDM), 1058-1063, 2020
2020
Learning with Partial Multi-Outlooks
J Chen, Y He, V Raghavan
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
2020
Online Learning to Accelerate Neural Network Inference with Traveling Classifiers
E Beyazit, Y He, NF Tzeng, X Wu
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Articles 1–16