Xiang Jiang

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 16

Top Topics

Recurrent Neural Networks

Activity Detection

Top Venues

Canadian Conference on AI

Publications

Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Qicheng Lao, Xiang Jiang, Mohammad Havaei
Hypothesis Disparity Regularized Mutual Information Maximization. AAAI (2021)
Qicheng Lao, Xiang Jiang, Mohammad Havaei
Hypothesis Disparity Regularized Mutual Information Maximization. CoRR (2020)
Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. CoRR (2020)
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML (2020)
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR (2020)
Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin
Task Adaptive Metric Space for Medium-Shot Medical Image Classification. MICCAI (1) (2019)
Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin
Learning to Learn with Conditional Class Dependencies. ICLR (Poster) (2019)
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. CoRR (2018)
Jie Mei, Xiang Jiang, Aminul Islam, Abidalrahman Moh'd, Evangelos E. Milios
Integrating Global Attention for Pairwise Text Comparison. DocEng (2018)
Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks. CoRR (2017)
Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin
Improving point-based AIS trajectory classification with partition-wise gated recurrent units. IJCNN (2017)
Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin
Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. ESANN (2017)
Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks. CASCON (2017)
Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin
Fishing Activity Detection from AIS Data Using Autoencoders. Canadian Conference on AI (2016)
Baifan Hu, Xiang Jiang, Erico N. de Souza, Ronald Pelot, Stan Matwin
Identifying Fishing Activities from AIS Data with Conditional Random Fields. FedCSIS (2016)
Xiang Jiang
Representational Transfer in Deep Belief Networks. Canadian Conference on AI (2015)