Zihan Fang

MS student, Fuzhou University

Joined

March 2022

Names

Zihan Fang (Preferred)

Emails

****@163.com (Confirmed)

Personal Links

ORCID

Career & Education History

MS student

Fuzhou University (fzu.edu.cn)

2022 – Present

Undergrad student

Fuzhou University (fzu.edu.cn)

2018 – 2022

Advisors, Relations & Conflicts

Coauthor

Shide Du

2022 – Present

Expertise

Interpretable learning

2021 – Present

Multi-view learning

2021 – Present

Representation learning

2021 – Present

Machine learning

2021 – Present

Graph learning

2021 – Present

Publications

Brain-inspired Multi-View Incremental Learning for Knowledge Transfer and Retention
Yuhong Chen, Huifeng Yin, Zihan Fang, Mingkun Xu, Yujie Wu, Qi Xu, Shiping Wang, Lei Deng, Shuai Zhong
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Beyond the Known: Ambiguity-Aware Multi-view Learning
Zihan Fang, Shide Du, Yuhong Chen, Shiping Wang
- MM2024 Poster
- Readers: Everyone
Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network
Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang
- Published: 01 Jan 2024, Last Modified: 08 Apr 2024
- Neural Networks 2024
- Readers: Everyone
DBO-Net: Differentiable bi-level optimization network for multi-view clustering
Zihan Fang, Shide Du, Xincan Lin, Jinbin Yang, Shiping Wang, Yiqing Shi
- Published: 01 Jan 2023, Last Modified: 08 Apr 2024
- Inf. Sci. 2023
- Readers: Everyone
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- ACM Multimedia 2023
- Readers: Everyone
DMRL-Net: Differentiable Multi-view Representation Learning Network
Zihan Fang, Shide Du, Yaqing Chen, Shiping Wang
- Published: 01 Jan 2023, Last Modified: 08 Apr 2024
- ICME 2023
- Readers: Everyone
Contrastive Consensus Graph Learning for Multi-View Clustering
Shiping Wang, Xincan Lin, Zihan Fang, Shide Du, Guobao Xiao
- 2022 (modified: 18 Nov 2022)
- IEEE CAA J. Autom. Sinica 2022
- Readers: Everyone

Zihan Fang

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Brain-inspired Multi-View Incremental Learning for Knowledge Transfer and Retention

Beyond the Known: Ambiguity-Aware Multi-view Learning

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network

DBO-Net: Differentiable bi-level optimization network for multi-view clustering

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness

DMRL-Net: Differentiable Multi-view Representation Learning Network

Contrastive Consensus Graph Learning for Multi-View Clustering

Co-Authors