Xiang Jiang

20 papers A* 2B 3C 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
NeoQA: Evidence-based Question Answering with Generated News Events.
ACL (Findings)
Max Glockner, Xiang Jiang, Leonardo F. R. Ribeiro, Iryna Gurevych, Markus Dreyer
2025 J jnl
NeoQA: Evidence-based Question Answering with Generated News Events.
CoRR
Max Glockner, Xiang Jiang, Leonardo F. R. Ribeiro, Iryna Gurevych, Markus Dreyer
2024 — conf
CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization.
NAACL-HLT
Xiang Jiang, Markus Dreyer
2022 J jnl
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay.
IEEE Trans. Neural Networks Learn. Syst.
Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
2021 A* conf
Hypothesis Disparity Regularized Mutual Information Maximization.
AAAI
Qicheng Lao, Xiang Jiang, Mohammad Havaei
2020 J jnl
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay.
CoRR
Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
2020 J jnl
Hypothesis Disparity Regularized Mutual Information Maximization.
CoRR
Qicheng Lao, Xiang Jiang, Mohammad Havaei
2020 A* conf
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation.
ICML
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
2020 J jnl
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation.
CoRR
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
2019 — conf
Learning to Learn with Conditional Class Dependencies.
ICLR (Poster)
Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin
2019 — conf
Task Adaptive Metric Space for Medium-Shot Medical Image Classification.
MICCAI (1)
Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin
2018 B conf
Integrating Global Attention for Pairwise Text Comparison.
DocEng
Jie Mei, Xiang Jiang, Aminul Islam, Abidalrahman Moh'd, Evangelos E. Milios
2018 J jnl
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification.
CoRR
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin
2017 B conf
Improving point-based AIS trajectory classification with partition-wise gated recurrent units.
IJCNN
Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin
2017 B conf
Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification.
ESANN
Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin
2017 J jnl
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks.
CoRR
Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
2017 — conf
TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks.
CASCON
Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
2016 — conf
Fishing Activity Detection from AIS Data Using Autoencoders.
Canadian AI
Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin
2016 C conf
Identifying Fishing Activities from AIS Data with Conditional Random Fields.
FedCSIS
Baifan Hu, Xiang Jiang, Erico N. de Souza, Ronald Pelot, Stan Matwin
2015 — conf
Representational Transfer in Deep Belief Networks.
Canadian AI
Xiang Jiang