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]
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
[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
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