Representational Transfer in Deep Belief Networks. - Xiang Jiang 001 (Canadian AI, 2015)

Fishing Activity Detection from AIS Data Using Autoencoders. - Xiang Jiang 001; Daniel L. Silver; Baifan Hu; Erico N. de Souza; Stan Matwin (Canadian AI, 2016)

Identifying Fishing Activities from AIS Data with Conditional Random Fields. - Baifan Hu; Xiang Jiang 001; Erico N. de Souza; Ronald Pelot; Stan Matwin (FedCSIS, 2016)

TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks. - Xiang Jiang 001; Erico N. de Souza; Ahmad Pesaranghader; Baifan Hu; Daniel L. Silver; Stan Matwin (CASCON, 2017)

Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. - Xiang Jiang 001; Erico N. de Souza; Xuan Liu 007; Behrouz Haji Soleimani; Xiaoguang Wang 001; Daniel L. Silver; Stan Matwin (ESANN, 2017)

Improving point-based AIS trajectory classification with partition-wise gated recurrent units. - Xiang Jiang 001; Xuan Liu 007; Erico N. de Souza; Baifan Hu; Daniel L. Silver; Stan Matwin (IJCNN, 2017)

Integrating Global Attention for Pairwise Text Comparison. - Jie Mei 005; Xiang Jiang 001; Aminul Islam 001; Abidalrahman Moh'd; Evangelos E. Milios (DocEng, 2018)

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. - Xiang Jiang 001; Mohammad Havaei; Gabriel Chartrand; Hassan Chouaib; Thomas Vincent; Andrew Jesson; Nicolas Chapados; Stan Matwin (CoRR, 2018)

Learning to Learn with Conditional Class Dependencies. - Xiang Jiang 001; Mohammad Havaei; Farshid Varno; Gabriel Chartrand; Nicolas Chapados; Stan Matwin (ICLR (Poster), 2019)

Task Adaptive Metric Space for Medium-Shot Medical Image Classification. - Xiang Jiang 001; Liqiang Ding; Mohammad Havaei; Andrew Jesson; Stan Matwin (MICCAI (1), 2019)

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. - Xiang Jiang 001; Qicheng Lao; Stan Matwin; Mohammad Havaei (ICML, 2020)

Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. - Qicheng Lao; Xiang Jiang 001; Mohammad Havaei; Yoshua Bengio (CoRR, 2020)

Hypothesis Disparity Regularized Mutual Information Maximization. - Qicheng Lao; Xiang Jiang 001; Mohammad Havaei (AAAI, 2021)

A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. - Qicheng Lao; Xiang Jiang 001; Mohammad Havaei; Yoshua Bengio (IEEE Trans. Neural Networks Learn. Syst., 2022)

CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization. - Xiang Jiang 001; Markus Dreyer (NAACL-HLT, 2024)

NeoQA: Evidence-based Question Answering with Generated News Events. - Max Glockner; Xiang Jiang 001; Leonardo F. R. Ribeiro; Iryna Gurevych; Markus Dreyer (ACL (Findings), 2025)