Xiang Jiang

According to our database, Xiang Jiang authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization.

Xiang Jiang, Markus Dreyer

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2022

A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay.

Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Hypothesis Disparity Regularized Mutual Information Maximization.

Qicheng Lao, Xiang Jiang, Mohammad Havaei

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay.

Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio

CoRR, 2020

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation.

Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Task Adaptive Metric Space for Medium-Shot Medical Image Classification.

Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning to Learn with Conditional Class Dependencies.

Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification.

Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin

CoRR, 2018

Integrating Global Attention for Pairwise Text Comparison.

Jie Mei, Xiang Jiang, Aminul Islam, Abidalrahman Moh'd, Evangelos E. Milios

Proceedings of the ACM Symposium on Document Engineering 2018, 2018

2017

Improving point-based AIS trajectory classification with partition-wise gated recurrent units.

Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification.

Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks.

Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin

Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017

2016

Identifying Fishing Activities from AIS Data with Conditional Random Fields.

Baifan Hu, Xiang Jiang, Erico N. de Souza, Ronald Pelot, Stan Matwin

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Fishing Activity Detection from AIS Data Using Autoencoders.

Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin

Proceedings of the Advances in Artificial Intelligence, 2016

2015

Representational Transfer in Deep Belief Networks.

Xiang Jiang

Proceedings of the Advances in Artificial Intelligence, 2015