Asynchronous reinforcement learning algorithms for solving discrete space path planning problems. - Xingyu Zhao 002; Shifei Ding; Yuexuan An; Weikuan Jia (Appl. Intell., 2018)

NSCT-PCNN image fusion based on image gradient motivation. - Shifei Ding; Xingyu Zhao 002; Hui Xu; Qiangbo Zhu; Yu Xue 004 (IET Comput. Vis., 2018)

深度强化学习研究综述 (Research on Deep Reinforcement Learning). - Xingyu Zhao 002; Shifei Ding (计算机科学, 2018)

A review on multi-class TWSVM. - Shifei Ding; Xingyu Zhao 002; Jian Zhang 019; Xiekai Zhang; Yu Xue 004 (Artif. Intell. Rev., 2019)

A new asynchronous reinforcement learning algorithm based on improved parallel PSO. - Shifei Ding; Wei Du 010; Xingyu Zhao 002; Lijuan Wang; Weikuan Jia (Appl. Intell., 2019)

An effective asynchronous framework for small scale reinforcement learning problems. - Shifei Ding; Xingyu Zhao 002; Xinzheng Xu; Tongfeng Sun; Weikuan Jia (Appl. Intell., 2019)

Applications of asynchronous deep reinforcement learning based on dynamic updating weights. - Xingyu Zhao 002; Shifei Ding; Yuexuan An; Weikuan Jia (Appl. Intell., 2019)

BEMD image fusion based on PCNN and compressed sensing. - Shifei Ding; Peng Du; Xingyu Zhao 002; Qiangbo Zhu; Yu Xue 004 (Soft Comput., 2019)

Robust spike-and-slab deep Boltzmann machines for face denoising. - Nan Zhang 014; Shifei Ding; Jian Zhang 019; Xingyu Zhao 002 (Neural Comput. Appl., 2020)

Conditional Self-Supervised Learning for Few-Shot Classification. - Yuexuan An; Hui Xue 002; Xingyu Zhao 002; Lu Zhang (IJCAI, 2021)

Fusion Label Enhancement for Multi-Label Learning. - Xingyu Zhao 002; Yuexuan An; Ning Xu 009; Xin Geng 001 (IJCAI, 2022)

Imbalanced Label Distribution Learning. - Xingyu Zhao 002; Yuexuan An; Ning Xu 009; Jing Wang 113; Xin Geng 001 (AAAI, 2023)

Learning to Learn from Corrupted Data for Few-Shot Learning. - Yuexuan An; Xingyu Zhao 002; Hui Xue 002 (IJCAI, 2023)

Generalizable Label Distribution Learning. - Xingyu Zhao 002; Lei Qi 001; Yuexuan An; Xin Geng 001 (ACM Multimedia, 2023)

Continuous label distribution learning. - Xingyu Zhao 002; Yuexuan An; Ning Xu 009; Xin Geng 001 (Pattern Recognit., 2023)

From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. - Yuexuan An; Hui Xue 002; Xingyu Zhao 002; Jing Wang 113 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Variational Continuous Label Distribution Learning for Multi-Label Text Classification. - Xingyu Zhao 002; Yuexuan An; Ning Xu 009; Xin Geng 001 (IEEE Trans. Knowl. Data Eng., 2024)

Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning. - Yuexuan An; Hui Xue 002; Xingyu Zhao 002; Ning Xu 009; Pengfei Fang; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Scalable Label Distribution Learning for Multi-Label Classification. - Xingyu Zhao 002; Yuexuan An; Lei Qi 001; Xin Geng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Interactive Fusion Label Enhancement for Multi-Label Learning. - Xingyu Zhao 002; Yuexuan An; Ning Xu 009; Lei Qi 001; Xin Geng 001 (ACM Trans. Knowl. Discov. Data, 2025)