Wei Liu

According to our database, Wei Liu authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Enhancing Reliability in Medical Image Classification of Imperfect Views.

Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie

IEEE Trans. Circuits Syst. Video Technol., February, 2026

Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict.

Jie Shi, Xiaodong Yue, Wei Liu, Yufei Chen, Feifan Dong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild.

Wei Liu, Yufei Chen, Xiaodong Yue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

H-MEAN: Hierarchical Multi-view Evidence Aggregation Network for Trustworthy Medical Image Classification.

Yina Li, Yufei Chen, Wei Liu, Jingen Qu, Chao Ma, Xiaodong Yue

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Enhancing Multi-View Classification Reliability with Adaptive Rejection.

Wei Liu, Yufei Chen, Xiaodong Yue

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation.

Qian Wu, Yufei Chen, Wei Liu, Xiaodong Yue, Xiahai Zhuang

IEEE Trans. Medical Imaging, November, 2024

Building Trust in Decision with Conformalized Multi-view Deep Classification.

Wei Liu, Yufei Chen, Xiaodong Yue

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images.

Wei Fu, Yufei Chen, Wei Liu, Xiaodong Yue, Chao Ma

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Deep Determinantal Q-Learning with Role Aware.

Kai Han, Xiaodong Yue, Wei Liu, Jinxin Zhan

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion.

Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li

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

Safe Multi-View Deep Classification.

Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie

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

2022

Video Object Detection with MeanShift Tracking.

Shuai Zhang, Wei Liu, Haijie Fu, Xiaodong Yue

Proceedings of the Rough Sets - International Joint Conference, 2022

Stable Clustering Ensemble Based on Evidence Theory.

Haijie Fu, Xiaodong Yue, Wei Liu, Thierry Denoeux

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Trusted Multi-View Deep Learning with Opinion Aggregation.

Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Ensemble of Adapters for Transfer Learning Based on Evidence Theory.

Ying Lv, Bofeng Zhang, Xiaodong Yue, Zhikang Xu, Wei Liu

Proceedings of the Belief Functions: Theory and Applications, 2021