Xiang Jiang - RankMe

20 papers A* 2B 3C 1Journal 7Unranked 7

Year	Rank	Type	Title / 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