Xingyu Zhao

According to our database, Xingyu Zhao authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

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

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

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

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

Robust spike-and-slab deep Boltzmann machines for face denoising.

Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao

Neural Comput. Appl., 2020

2019

BEMD image fusion based on PCNN and compressed sensing.

Shifei Ding, Peng Du, Xingyu Zhao, Qiangbo Zhu, Yu Xue

Soft Comput., 2019

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

Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia

Appl. Intell., 2019

An effective asynchronous framework for small scale reinforcement learning problems.

Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia

Appl. Intell., 2019

A new asynchronous reinforcement learning algorithm based on improved parallel PSO.

Shifei Ding, Wei Du, Xingyu Zhao, Lijuan Wang, Weikuan Jia

Appl. Intell., 2019

A review on multi-class TWSVM.

Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue

Artif. Intell. Rev., 2019

2018

深度强化学习研究综述 (Research on Deep Reinforcement Learning).

Xingyu Zhao, Shifei Ding

计算机科学, 2018

NSCT-PCNN image fusion based on image gradient motivation.

Shifei Ding, Xingyu Zhao, Hui Xu, Qiangbo Zhu, Yu Xue

IET Comput. Vis., 2018

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

Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia

Appl. Intell., 2018