Yuexuan An

According to our database, Yuexuan An authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Variational Continuous Label Distribution Learning for Multi-Label Text Classification.

Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng

IEEE Trans. Knowl. Data Eng., June, 2024

Reinforced Self-Supervised Training for Few-Shot Learning.

Zhichao Yan, Yuexuan An, Hui Xue

IEEE Signal Process. Lett., 2024

Towards Few-Shot Learning in the Open World: A Review and Beyond.

Hui Xue, Yuexuan An, Yongchun Qin, Wenqian Li, Yixin Wu, Yongjuan Che, Pengfei Fang, Minling Zhang

CoRR, 2024

Dynamic functional connections analysis with spectral learning for brain disorder detection.

Yanfang Xue, Hui Xue, Pengfei Fang, Shipeng Zhu, Lishan Qiao, Yuexuan An

Artif. Intell. Medicine, 2024

2023

From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning.

Yuexuan An, Hui Xue, Xingyu Zhao, Jing Wang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Continuous label distribution learning.

Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng

Pattern Recognit., 2023

Scalable Label Distribution Learning for Multi-Label Classification.

Xingyu Zhao, Yuexuan An, Lei Qi, Xin Geng

CoRR, 2023

Generalizable Label Distribution Learning.

Xingyu Zhao, Lei Qi, Yuexuan An, Xin Geng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss.

Yongjuan Che, Yuexuan An, Hui Xue

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning to Learn from Corrupted Data for Few-Shot Learning.

Yuexuan An, Xingyu Zhao, Hui Xue

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Imbalanced Label Distribution Learning.

Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Indefinite twin support vector machine with DC functions programming.

Yuexuan An, Hui Xue

Pattern Recognit., 2022

Fusion Label Enhancement for Multi-Label Learning.

Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Conditional Self-Supervised Learning for Few-Shot Classification.

Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Multiple birth support vector machine based on recurrent neural networks.

Shifei Ding, Yuting Sun, Yuexuan An, Weikuan Jia

Appl. Intell., 2020

2019

Multiple Birth Support Vector Machine with Triplet Loss Function.

Shi-Fei Ding, Yuexuan An

J. Inf. Sci. Eng., 2019

Applications of asynchronous deep reinforcement learning based on dynamic updating weights.

Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia

Appl. Intell., 2019

2018

Discrete space reinforcement learning algorithm based on support vector machine classification.

Yuexuan An, Shifei Ding, Songhui Shi, Jingcan Li

Pattern Recognit. Lett., 2018

孪生支持向量机综述 (Twin Support Vector Machine: A Review).

Yuexuan An, Shifei Ding, Jipu Hu

计算机科学, 2018

Asynchronous reinforcement learning algorithms for solving discrete space path planning problems.

Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia

Appl. Intell., 2018

2017

Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification.

Shifei Ding, Xiekai Zhang, Yuexuan An, Yu Xue

Pattern Recognit., 2017

Wavelet twin support vector machines based on glowworm swarm optimization.

Shifei Ding, Yuexuan An, Xiekai Zhang, Fulin Wu, Yu Xue

Neurocomputing, 2017