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ORCIDXiang Jiang 0001
Person information
- affiliation: Amazon, Seattle, WA, USA
- affiliation (former): Imagia, Montreal, QC, Canada
- affiliation (former, PhD 2021): Dalhousie University, Halifax, NS, Canada
Other persons with the same name
- Xiang Jiang 0002 — University of Cambridge, UK
- Xiang Jiang 0003 — Guangzhou Maritime Institute, China
- Xiang Jiang 0004 — Tsinghua University, Beijing, China
- Xiang Jiang 0005 — Beijing Jiaotong University, China
- Xiang Jiang 0006 — Xi'an Jiaotong University, Department of Microelectronics, China
- Xiang Jiang 0007 — Southeast University, School of Biological Science & Medical Engineering, Nanjing, China
- Xiang Jiang 0008 — Jiangsu Normal University, School of Computer Science and Technology, Xuzhou, China
- Xiang Jiang 0009
![[0000-0002-4293-2020]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4293-2020")
— Hunan University of Technology, College of Electrical and Information Engineering, Zhuzhou, China
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2020 – today
- 2024
[c12]Xiang Jiang, Markus Dreyer:
CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization. NAACL-HLT 2024: 7306-7336- 2022
- [j1]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): 4466-4478 (2022) - 2021
- [c11]Qicheng Lao, Xiang Jiang, Mohammad Havaei:
Hypothesis Disparity Regularized Mutual Information Maximization. AAAI 2021: 8243-8251 - 2020
- [c10]Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei:
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML 2020: 4816-4827 - [i5]Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio:
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. CoRR abs/2003.04382 (2020) - [i4]Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei:
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR abs/2006.04996 (2020) - [i3]Qicheng Lao, Xiang Jiang, Mohammad Havaei:
Hypothesis Disparity Regularized Mutual Information Maximization. CoRR abs/2012.08072 (2020)
2010 – 2019
- 2019
- [c9]Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin:
Learning to Learn with Conditional Class Dependencies. ICLR (Poster) 2019 - [c8]Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin:
Task Adaptive Metric Space for Medium-Shot Medical Image Classification. MICCAI (1) 2019: 147-155 - 2018
- [c7]Jie Mei, Xiang Jiang, Aminul Islam, Abidalrahman Moh'd, Evangelos E. Milios:
Integrating Global Attention for Pairwise Text Comparison. DocEng 2018: 49:1-49:4 - [i2]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 abs/1806.00852 (2018) - 2017
- [c6]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: 192-200 - [c5]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 - [c4]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: 4044-4051 - [i1]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 abs/1705.02636 (2017) - 2016
- [c3]Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin:
Fishing Activity Detection from AIS Data Using Autoencoders. Canadian AI 2016: 33-39 - [c2]Baifan Hu, Xiang Jiang, Erico N. de Souza, Ronald Pelot, Stan Matwin:
Identifying Fishing Activities from AIS Data with Conditional Random Fields. FedCSIS 2016: 47-52 - 2015
- [c1]Xiang Jiang:
Representational Transfer in Deep Belief Networks. Canadian AI 2015: 338-342
Coauthor Index
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