Xiaojie Guo
Xiaojie Guo
IBM TJ Watson Research Center
Verified email at - Homepage
Cited by
Cited by
Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
X Guo, L Chen, C Shen
Measurement 93, 490-502, 2016
Graph neural networks: foundation, frontiers and applications
L Wu, P Cui, J Pei, L Zhao, X Guo
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Graph neural networks for natural language processing: A survey
L Wu, Y Chen, K Shen, X Guo, H Gao, S Li, J Pei, B Long
Foundations and Trends® in Machine Learning 16 (2), 119-328, 2023
A systematic survey on deep generative models for graph generation
X Guo, L Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5370-5390, 2022
Deep fault recognizer: An integrated model to denoise and extract features for fault diagnosis in rotating machinery
X Guo, C Shen, L Chen
Applied Sciences 7 (1), 41, 2016
A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery
W You, C Shen, X Guo, X Jiang, J Shi, Z Zhu
Advances in Mechanical Engineering 9 (6), 1687814017704146, 2017
Graphgt: Machine learning datasets for graph generation and transformation
Y Du, S Wang, X Guo, H Cao, S Hu, J Jiang, A Varala, A Angirekula, ...
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
Interpretable deep graph generation with node-edge co-disentanglement
X Guo, L Zhao, Z Qin, L Wu, A Shehu, Y Ye
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Generating tertiary protein structures via interpretable graph variational autoencoders
X Guo, Y Du, S Tadepalli, L Zhao, A Shehu
Bioinformatics Advances 1 (1), vbab036, 2021
Deep multi-attributed graph translation with node-edge co-evolution
X Guo, L Zhao, C Nowzari, S Rafatirad, H Homayoun, SMP Dinakarrao
2019 IEEE International Conference on Data Mining (ICDM), 250-259, 2019
Deep generative model for periodic graphs
S Wang, X Guo, L Zhao
Advances in Neural Information Processing Systems 35, 2022
Compact graph structure learning via mutual information compression
N Liu, X Wang, L Wu, Y Chen, X Guo, C Shi
Proceedings of the ACM Web Conference 2022, 1601-1610, 2022
Cognitive and scalable technique for securing IoT networks against malware epidemics
SMP Dinakarrao, X Guo, H Sayadi, C Nowzari, A Sasan, S Rafatirad, ...
IEEE Access 8, 138508-138528, 2020
Distant-supervision of heterogeneous multitask learning for social event forecasting with multilingual indicators
L Zhao, J Wang, X Guo
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Property controllable variational autoencoder via invertible mutual dependence
X Guo, Y Du, L Zhao
International Conference on Learning Representations, 2020
Deep generative models for spatial networks
X Guo, Y Du, L Zhao
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Disentangled spatiotemporal graph generative models
Y Du, X Guo, H Cao, Y Ye, L Zhao
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6541-6549, 2022
Interpretable molecular graph generation via monotonic constraints
Y Du, X Guo, A Shehu, L Zhao
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
Multi-stage deep classifier cascades for open world recognition
X Guo, A Alipour-Fanid, L Wu, H Purohit, X Chen, K Zeng, L Zhao
Proceedings of the 28th ACM International Conference on Information and …, 2019
Deep graph translation
X Guo, L Wu, L Zhao
IEEE Transactions on Neural Networks and Learning Systems, 2022
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