Xingyu Zhao

23 papers A* 5Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Editorial: Robust machine learning.
Frontiers Artif. Intell.
Yuexuan An, Xingyu Zhao, Mingjing Du
2025 J jnl
Delving Into Generalizable Label Distribution Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xingyu Zhao, Lei Qi, Yuexuan An, Xin Geng
2025 J jnl
Interactive Fusion Label Enhancement for Multi-Label Learning.
ACM Trans. Knowl. Discov. Data
Xingyu Zhao, Yuexuan An, Ning Xu, Lei Qi, Xin Geng
2025 J jnl
Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yuexuan An, Hui Xue, Xingyu Zhao, Ning Xu, Pengfei Fang, Xin Geng
2025 J jnl
Scalable Label Distribution Learning for Multi-Label Classification.
IEEE Trans. Neural Networks Learn. Syst.
Xingyu Zhao, Yuexuan An, Lei Qi, Xin Geng
2024 J jnl
Variational Continuous Label Distribution Learning for Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng.
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
2023 J jnl
Continuous label distribution learning.
Pattern Recognit.
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
2023 J jnl
From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuexuan An, Hui Xue, Xingyu Zhao, Jing Wang
2023 A* conf
Generalizable Label Distribution Learning.
ACM Multimedia
Xingyu Zhao, Lei Qi, Yuexuan An, Xin Geng
2023 A* conf
Imbalanced Label Distribution Learning.
AAAI
Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng
2023 A* conf
Learning to Learn from Corrupted Data for Few-Shot Learning.
IJCAI
Yuexuan An, Xingyu Zhao, Hui Xue
2023 J jnl
Scalable Label Distribution Learning for Multi-Label Classification.
CoRR
Xingyu Zhao, Yuexuan An, Lei Qi, Xin Geng
2022 A* conf
Fusion Label Enhancement for Multi-Label Learning.
IJCAI
Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng
2021 A* conf
Conditional Self-Supervised Learning for Few-Shot Classification.
IJCAI
Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang
2020 J jnl
Robust spike-and-slab deep Boltzmann machines for face denoising.
Neural Comput. Appl.
Nan Zhang, Shifei Ding, Jian Zhang, Xingyu Zhao
2019 J jnl
A new asynchronous reinforcement learning algorithm based on improved parallel PSO.
Appl. Intell.
Shifei Ding, Wei Du, Xingyu Zhao, Lijuan Wang, Weikuan Jia
2019 J jnl
A review on multi-class TWSVM.
Artif. Intell. Rev.
Shifei Ding, Xingyu Zhao, Jian Zhang, Xiekai Zhang, Yu Xue
2019 J jnl
An effective asynchronous framework for small scale reinforcement learning problems.
Appl. Intell.
Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia
2019 J jnl
Applications of asynchronous deep reinforcement learning based on dynamic updating weights.
Appl. Intell.
Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia
2019 J jnl
BEMD image fusion based on PCNN and compressed sensing.
Soft Comput.
Shifei Ding, Peng Du, Xingyu Zhao, Qiangbo Zhu, Yu Xue
2018 J jnl
Asynchronous reinforcement learning algorithms for solving discrete space path planning problems.
Appl. Intell.
Xingyu Zhao, Shifei Ding, Yuexuan An, Weikuan Jia
2018 J jnl
NSCT-PCNN image fusion based on image gradient motivation.
IET Comput. Vis.
Shifei Ding, Xingyu Zhao, Hui Xu, Qiangbo Zhu, Yu Xue
2018 J jnl
深度强化学习研究综述 (Research on Deep Reinforcement Learning).
计算机科学
Xingyu Zhao, Shifei Ding