Xiang Jiang, Ph.D.
Applied Scientist at Amazon, Seattle;
ex-Research Scientist (Intern) at Imagia, Montreal;
Dalhousie University (supervised by Dr. Stan Matwin and Dr. Daniel Silver)
xiang.jiang [at] dal.ca
[Google Scholar]
Embedded Files
Research Interests
Research Interests
machine learning, deep learning, natural language processing
summarization, retrieval augmented generation
generalization in the presence of dataset shift, e.g., domain shift, prior probability shift
Selected Publications
Selected Publications
[NAACL'24] CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization. Xiang Jiang, Markus Dreyer. [Code]
[AAAI'21] Hypothesis Disparity Regularized Mutual Information Maximization. Qicheng Lao, Xiang Jiang, Mohammad Havaei
[ICML'20] Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. [Code][Blog]. Xiang Jiang, Qicheng Lao, Stan Matwin, and Mohammad Havaei.
[TNNLS'21] Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. Qicheng Lao, Xiang Jiang, Mohammad Havaei, and Yoshua Bengio
[MICCAI'19] Task Adaptive Metric Space for Medium-Shot Medical Image Classification. Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, and Stan Matwin.
[ICLR'18] Learning to learn with conditional class dependencies. Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, and Stan Matwin.
[NIPS'18 Workshop on Meta-Learning] Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification. Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, and Stan Matwin.
[CASCON'17 best paper] 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 Silver, and Stan Matwin.
Services
Services
Conference Reviewer:
2022, 2023, 2024: ICML, ICLR, NeurIPS, AAAI
2021: NeurIPS, ICLR, AAAI, ACM CHIL, MICCAI, ICIP
2020: AAAI, MICCAI, MIDL, NeurIPS Workshop on Meta-Learning
Journal Reviewer:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Transactions on Machine Learning Research
IEEE Transactions on Medical Imaging
IEEE Transactions on Multimedia
Useful links
Useful links
Page updated
Google Sites
Report abuse