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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
1492020
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
952018
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
61*2021
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification
X Jiang, M Havaei, G Chartrand, H Chouaib, T Vincent, A Jesson, ...
46*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
362016
Hypothesis Disparity Regularized Mutual Information Maximization
Q Lao, X Jiang, M Havaei
Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
282021
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
242017
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
212016
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
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
52024
Representational Transfer in Deep Belief Networks
X Jiang
Canadian Conference on Artificial Intelligence, 338-342, 2015
42015
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
22024
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
12018
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