Guo, Quan (郭泉)
Cited by
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User-level psychological stress detection from social media using deep neural network
H Lin, J Jia, Q Guo, Y Xue, Q Li, J Huang, L Cai, L Feng
Proceedings of the 22nd ACM international conference on Multimedia, 507-516, 2014
Psychological stress detection from cross-media microblog data using deep sparse neural network
H Lin, J Jia, Q Guo, Y Xue, J Huang, L Cai, L Feng
2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014
Recurrent neural networks with auxiliary memory units
J Wang, L Zhang, Q Guo, Z Yi
IEEE transactions on neural networks and learning systems 29 (5), 1652-1661, 2018
Learning robust uniform features for cross-media social data by using cross autoencoders
Q Guo, J Jia, G Shen, L Zhang, L Cai, Z Yi
Knowledge-Based Systems 102, 64-75, 2016
A Multi-Modal Chinese Poetry Generation Model
D Liu, Q Guo, W Li, J Lv
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Learning a good representation with unsymmetrical auto-encoder
Y Sun, H Mao, Q Guo, Z Yi
Neural Computing and Applications 27 (5), 1361-1367, 2016
Cross-Modality Relevance for Reasoning on Language and Vision
C Zheng, Q Guo, P Kordjamshidi
arXiv preprint arXiv:2005.06035, 2020
大数据分析的神经网络方法 (Big data analysis using neural networks)
章毅, 郭泉, 王建勇
工程科学与技术 (Advanced Engineering Sciences) 49 (1), 9-18, 2017
DeepCXray: Automatically Diagnosing Diseases on Chest X-Rays Using Deep Neural Networks
X Xu, Q Guo, J Guo, Z Yi
IEEE Access 6, 66972-66983, 2018
Acoustics, content and geo-information based sentiment prediction from large-scale networked voice data
Z Ren, J Jia, Q Guo, K Zhang, L Cai
2014 IEEE International Conference on Multimedia and Expo (ICME), 1-4, 2014
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning
H Rajaby Faghihi, Q Guo, A Uszok, A Nafar, E Raisi, P Kordjamshidi
arXiv e-prints, arXiv: 2108.12370, 2021
Inference-Masked Loss for Deep Structured Output Learning.
Q Guo, HR Faghihi, Y Zhang, A Uszok, P Kordjamshidi
IJCAI, 2754-2761, 2020
PYLON: A PyTorch framework for learning with constraints
K Ahmed, T Li, T Ton, Q Guo, KW Chang, P Kordjamshidi, V Srikumar, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13152 …, 2022
Towards Navigation by Reasoning over Spatial Configurations
Y Zhang, Q Guo, P Kordjamshidi
arXiv preprint arXiv:2105.06839, 2021
High-Order Measurements for Residual Classifiers
Q Guo, H Zhang, Z Yi
IEEE transactions on neural networks and learning systems 28 (5), 1030-1042, 2017
From Ontologies to Learning-Based Programs
Q Guo, A Uszok, P Kordjamshidi
IJCAI 2019 Workshop on DeLBP, 2019
Novel algorithms for reducing bladder volume estimation error caused by scanning positions
K Li, Q Guo, J Guo
International Journal of Computer Mathematics 94 (6), 1138-1154, 2017
Rigid image registration via column sparse optimisation for seal registration
Q Guo, L Zhang, S Wang, Z Yi
Electronics Letters 49 (17), 1069-1071, 2013
The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick-and Thin-Section CT Images with 3D Deep Neural Networks
Q Guo, C Wang, J Guo, H Bai, X Xu, L Yang, J Wang, N Chen, Z Wang, ...
Computer Methods and Programs in Biomedicine 229, 107290, 2023
Gram regularization for sparse and disentangled representation
Z Gao, Y Chen, Q Guo, Z Yi
Pattern Analysis and Applications 25 (2), 337-349, 2022
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