Jin Xu
Jin Xu
South China University of Technology
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Semisupervised feature selection based on relevance and redundancy criteria
J Xu, B Tang, H He, H Man
IEEE transactions on neural networks and learning systems, 2017
Text2Event: Controllable sequence-to-structure generation for end-to-end event extraction
Y Lu, H Lin, J Xu, X Han, J Tang, A Li, L Sun, M Liao, S Chen
arXiv preprint arXiv:2106.09232, 2021
Weak supervision for fake news detection via reinforcement learning
Y Wang, W Yang, F Ma, J Xu, B Zhong, Q Deng, J Gao
Proceedings of the AAAI conference on artificial intelligence 34 (01), 516-523, 2020
DCPE co-training for classification
J Xu, H He, H Man
Neurocomputing 86, 75-85, 2012
Popularity prediction on online articles with deep fusion of temporal process and content features
D Liao, J Xu, G Li, W Huang, W Liu, J Li
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 200-207, 2019
Knowledgeable or educated guess? revisiting language models as knowledge bases
B Cao, H Lin, X Han, L Sun, L Yan, M Liao, T Xue, J Xu
arXiv preprint arXiv:2106.09231, 2021
Small group human activity recognition
Y Yin, G Yang, J Xu, H Man
Image Processing (ICIP), 2012 19th IEEE International Conference on, 2709-2712, 2012
L1 graph based on sparse coding for feature selection
J Xu, G Yang, H Man, H He
International Symposium on Neural Networks, 594-601, 2013
Sparse-Representation-Based Classification with Structure-Preserving Dimension Reduction
J Xu, G Yang, Y Yin, H Man, H He
Cognitive Computation 6, 608-621, 2014
Feature selection based on sparse imputation
J Xu, Y Yin, H Man, H He
Neural Networks (IJCNN), The 2012 International Joint Conference on, 1-7, 2012
Dictionary learning based on laplacian score in sparse coding
J Xu, H Man
International Workshop on Machine Learning and Data Mining in Pattern …, 2011
Surrogate-assisted hybrid-model estimation of distribution algorithm for mixed-variable hyperparameters optimization in convolutional neural networks
JY Li, ZH Zhan, J Xu, S Kwong, J Zhang
IEEE Transactions on Neural Networks and Learning Systems, 2021
Active learning with query generation for cost-effective text classification
YF Yan, SJ Huang, S Chen, M Liao, J Xu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6583-6590, 2020
Simultaneous learning of pivots and representations for cross-domain sentiment classification
L Li, W Ye, M Long, Y Tang, J Xu, J Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8220-8227, 2020
Fully exploiting cascade graphs for real-time forwarding prediction
X Tang, D Liao, W Huang, J Xu, L Zhu, M Shen
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 582-590, 2021
A hierarchical neural network architecture for classification
J Wang, H He, Y Cao, J Xu, D Zhao
Advances in Neural Networks–ISNN 2012, 37-46, 2012
From discourse to narrative: Knowledge projection for event relation extraction
J Tang, H Lin, M Liao, Y Lu, X Han, L Sun, W Xie, J Xu
arXiv preprint arXiv:2106.08629, 2021
DCPE co-training: Co-training based on diversity of class probability estimation
J Xu, H He, H Man
Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-7, 2010
Active Dictionary Learning in Sparse Representation Based Classification
J Xu, H He, H Man
arXiv preprint arXiv:1409.5763, 2014
Dual Quaternion Embeddings for Link Prediction
L Gao, H Zhu, HH Zhuo, J Xu
Applied Sciences 11 (12), 5572, 2021
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