Xinshao Wang

According to our database, Xinshao Wang authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification.

Yanting Shen, Lei Lu, Tingting Zhu, Xinshao Wang, Lei A. Clifton, Zhengming Chen, Robert Clarke, David A. Clifton

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

AdaTriplet-RA: Domain matching via adaptive triplet and reinforced attention for unsupervised domain adaptation.

Xinyao Shu, Shiyang Yan, Zhenyu Lu, Xinshao Wang, Yuan Xie

Signal Process. Image Commun., January, 2024

2023

Cascaded face super-resolution with shape and identity priors.

Dan Zeng, Zelin Li, Xiao Yan, Wen Jiang, Xinshao Wang, Jiang Liu, Bo Tang

IET Image Process., 2023

SMKD: Selective Mutual Knowledge Distillation.

Ziyun Li, Xinshao Wang, Neil M. Robertson, David A. Clifton, Christoph Meinel, Haojin Yang

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Ranked List Loss for Deep Metric Learning.

Xinshao Wang, Yang Hua, Elyor Kodirov, Neil M. Robertson

IEEE Trans. Pattern Anal. Mach. Intell., 2022

ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State.

Xinshao Wang, Yang Hua, Elyor Kodirov, Sankha Subhra Mukherjee, David A. Clifton, Neil M. Robertson

CoRR, 2022

Misspecified Phase Retrieval with Generative Priors.

Zhaoqiang Liu, Xinshao Wang, Jiulong Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Not All Knowledge Is Created Equal.

Ziyun Li, Xinshao Wang, Haojin Yang, Di Hu, Neil Martin Robertson, David A. Clifton, Christoph Meinel

CoRR, 2021

ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks.

Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Example weighting for deep representation learning.

Xinshao Wang

PhD thesis, 2020

ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise.

Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson

CoRR, 2020

2019

Instance Cross Entropy for Deep Metric Learning.

Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson

CoRR, 2019

ID-aware Quality for Set-based Person Re-identification.

Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson

CoRR, 2019

Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels.

Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson

CoRR, 2019

Improving MAE against CCE under Label Noise.

Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson

CoRR, 2019

Ranked List Loss for Deep Metric Learning.

Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Metric Learning by Online Soft Mining and Class-Aware Attention.

Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019