Browse by UCL people
Group by: Type | Date
Number of items: 15.
Article
Dong, M;
Wang, Y;
Yang, X;
Xue, J-H;
(2019)
Learning Local Metrics and Influential Regions for Classification.
IEEE Transactions on Pattern Analysis and Machine Intelligence
10.1109/tpami.2019.2914899.
(In press).
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Li, X;
Ding, S;
Xie, J;
Yang, X;
Ma, Z;
Xue, JH;
(2025)
CDN4: A cross-view Deep Nearest Neighbor Neural Network for fine-grained few-shot classification.
Pattern Recognition
, 163
, Article 111466. 10.1016/j.patcog.2025.111466.
|
Li, X;
Xue, S;
Xie, J;
Yang, X;
Ma, Z;
Xue, JH;
(2025)
Interactive triplet attention for few-shot fine-grained image classification.
Neurocomputing
, 655
, Article 131377. 10.1016/j.neucom.2025.131377.
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Li, Xiaoxu;
Li, Zhen;
Xie, Jiyang;
Yang, Xiaochen;
Xue, Jing-Hao;
Ma, Zhanyu;
(2024)
Self-reconstruction network for fine-grained few-shot classification.
Pattern Recognition
, 153
, Article 110485. 10.1016/j.patcog.2024.110485.
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Li, Xiaoxu;
Yang, Xiaochen;
Ma, Zhanyu;
Xue, Jing-Hao;
(2023)
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments.
Pattern Recognition
, 138
, Article 109381. 10.1016/j.patcog.2023.109381.
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Li, X;
Yu, L;
Yang, X;
Ma, Z;
Xue, J-H;
Cao, J;
Guo, J;
(2020)
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification.
IEEE Transactions on Circuits and Systems for Video Technology
10.1109/tcsvt.2020.3005807.
(In press).
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Wang, Xiaoke;
Yang, Xiaochen;
Zhu, Rui;
Xue, Jing-Hao;
(2025)
PUAL: A classifier on trifurcate positive-unlabelled data.
Neurocomputing
, 637
, Article 130080. 10.1016/j.neucom.2025.130080.
|
Yang, Xiaochen;
Guo, Yiwen;
Dong, Mingzhi;
Xue, Jing-Hao;
(2022)
Toward Certified Robustness of Distance Metric Learning.
IEEE Transactions on Neural Networks and Learning Systems
pp. 1-11.
10.1109/tnnls.2022.3199902.
(In press).
|
Yang, X;
Dong, M;
Wang, Z;
Gao, L;
Zhang, L;
Xue, J-H;
(2020)
Data-augmented matched subspace detector for hyperspectral subpixel target detection.
Pattern Recognition
, 106
, Article 107464. 10.1016/j.patcog.2020.107464.
|
Yang, X;
Zhang, L;
Gao, L;
Xue, J-H;
(2019)
MSDH: Matched Subspace Detector with Heterogeneous Noise.
Pattern Recognition Letters
, 125
pp. 701-707.
10.1016/j.patrec.2019.07.014.
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Proceedings paper
Dong, M;
Yang, X;
Zhu, R;
Wang, Y;
Xue, J;
(2020)
Generalization Bound of Gradient Descent for Non-Convex Metric Learning.
In:
Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020).
Neural Information Processing Systems Foundation (NeurIPS ): Virtual conference.
(In press).
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Li, X;
Yan, J;
Wu, J;
Liu, Y;
Yang, X;
Ma, Z;
(2020)
Anti-Noise Relation Network for Few-shot Learning.
In:
2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
(pp. pp. 1719-1724).
IEEE: Auckland, New Zealand.
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Yang, X;
Dong, M;
Guo, Y;
Xue, J;
(2021)
Metric Learning for Categorical and Ambiguous Features: An Adversarial Method.
In:
Joint European Conference on Machine Learning and Knowledge Discovery in Databases ECML PKDD 2020: Machine Learning and Knowledge Discovery in Databases.
(pp. pp. 223-238).
Springer, Cham
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Zhang, Xuan;
Chin, Sinchee;
Xue, Jing-Hao;
Yang, Xiaochen;
Yang, Wenming;
(2025)
DARL: Mitigating Gradient Conflicts in Long-Tailed Out-of-Distribution Learning.
In:
MM '25: Proceedings of the 33rd ACM International Conference on Multimedia.
(pp. pp. 6868-6877).
ACM (Association for Computing Machinery): New York, NY, USA.
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Thesis
Yang, Xiaochen;
(2020)
Essays on distance metric learning.
Doctoral thesis (Ph.D), UCL (University College London).
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