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Xiang Jiang
Xiang Jiang
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Title
Cited by
Cited by
Year
Implicit class-conditioned domain alignment for unsupervised domain adaptation
X Jiang, Q Lao, S Matwin, M Havaei
International Conference on Machine Learning, 4816-4827, 2020
1452020
Learning to learn with conditional class dependencies
X Jiang, M Havaei, F Varno, G Chartrand, N Chapados, S Matwin
International Conference on Learning Representations, 2018
942018
Trajectorynet: An embedded gps trajectory representation for point-based classification using recurrent neural networks
X Jiang, EN de Souza, A Pesaranghader, B Hu, DL Silver, S Matwin
arXiv preprint arXiv:1705.02636, 2017
822017
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay
Q Lao, X Jiang, M Havaei, Y Bengio
IEEE Transactions on Neural Networks and Learning Systems, 2021
60*2021
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification
X Jiang, M Havaei, G Chartrand, H Chouaib, T Vincent, A Jesson, ...
45*2018
Fishing activity detection from AIS data using autoencoders
X Jiang, DL Silver, B Hu, EN de Souza, S Matwin
Canadian Conference on Artificial Intelligence, 33-39, 2016
332016
Hypothesis Disparity Regularized Mutual Information Maximization
Q Lao, X Jiang, M Havaei
Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
272021
Improving point-based AIS trajectory classification with partition-wise gated recurrent units
X Jiang, X Liu, EN de Souza, B Hu, DL Silver, S Matwin
2017 International Joint Conference on Neural Networks (IJCNN), 4044-4051, 2017
202017
Identifying fishing activities from AIS data with conditional random fields
B Hu, X Jiang, EN de Souza, R Pelot, S Matwin
2016 Federated Conference on Computer Science and Information Systems …, 2016
202016
Task Adaptive Metric Space for Medium-Shot Medical Image Classification
X Jiang, L Ding, M Havaei, A Jesson, S Matwin
International Conference on Medical Image Computing and Computer-Assisted …, 2019
152019
Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification.
X Jiang, EN de Souza, X Liu, BH Soleimani, X Wang, DL Silver, S Matwin
ESANN, 2017
72017
Representational Transfer in Deep Belief Networks
X Jiang
Canadian Conference on Artificial Intelligence, 338-342, 2015
42015
CCSUM: A Large-Scale and High-Quality Dataset for Abstractive News Summarization
X Jiang, M Dreyer
Proceedings of the 2024 Conference of the North American Chapter of the …, 2024
32024
Can deep learning classify cerebral ultrasound images for the detection of brain injury in very preterm infants?
T Ahmad, A Guida, S Stewart, N Barrett, X Jiang, M Vincer, J Afifi
European Radiology, 1-11, 2024
12024
Integrating Global Attention for Pairwise Text Comparison
J Mei, X Jiang, A Islam, A Moh'd, E Milios
Proceedings of the ACM Symposium on Document Engineering 2018, 1-4, 2018
2018
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