Xia Hu
Cited by
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Exact and consistent interpretation for piecewise linear neural networks: A closed form solution
L Chu, X Hu, J Hu, L Wang, J Pei
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Model complexity of deep learning: A survey
X Hu, L Chu, J Pei, W Liu, J Bian
Knowledge and Information Systems 63 (10), 2585-2619, 2021
Measuring model complexity of neural networks with curve activation functions
X Hu, W Liu, J Bian, J Pei
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Exact and consistent interpretation of piecewise linear models hidden behind APIs: A closed form solution
Z Cong, L Chu, L Wang, X Hu, J Pei
2020 IEEE 36th International Conference on Data Engineering (ICDE), 613-624, 2020
Deep Variational Inference for Inductive Link Prediction
O Schulte, P Naddaf, X Hu, M Jaeger
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
K Zahirnia, A Sakhuja, O Schulte, P Nadaf, K Li, X Hu
arXiv preprint arXiv:2106.15239, 2021
Understanding deep neural networks from the perspective of piecewise linear property
X Hu
Applied Sciences: School of Computing Science, 2021
Deep Learning Model Complexity: Concepts and Approaches
X Hu, L Chu, J Pei, J Bian, W Liu
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