Chuanxing Geng

Orcid: 0000-0001-6345-5385

According to our database1, Chuanxing Geng authored at least 29 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
All-Around Neural Collapse for Imbalanced Classification.
IEEE Trans. Knowl. Data Eng., August, 2025

LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data.
CoRR, May, 2025

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning.
CoRR, May, 2025

Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey.
CoRR, May, 2025

Explicit View-Labels Matter: A Multifacet Complementarity Study of Multi-View Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

Filter, Obstruct and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning.
CoRR, February, 2025

Class-aware Universum Inspired re-balance learning for long-tailed recognition.
Pattern Recognit., 2025

Equiangular Aligned Dual Prompt Learning for Open-Set Recognition.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Dynamic Learnable Logit Adjustment for Long-Tailed Visual Recognition.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

Guest Editorial: Anomaly detection and open-set recognition applications for computer vision.
IET Comput. Vis., 2024

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning.
CoRR, 2024

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Dynamic against Dynamic: An Open-Set Self-Learning Framework.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

All Beings Are Equal in Open Set Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multiplane Convex Proximal Support Vector Machine.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Universum-Inspired Supervised Contrastive Learning.
IEEE Trans. Image Process., 2023

Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Collective Decision for Open Set Recognition (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Collective Decision for Open Set Recognition.
IEEE Trans. Knowl. Data Eng., 2022

View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering.
CoRR, 2022

2021
Recent Advances in Open Set Recognition: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

A comprehensive perspective of contrastive self-supervised learning.
Frontiers Comput. Sci., 2021

2020
Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes.
Pattern Recognit., 2020

Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection.
CoRR, 2020

A Multi-view Perspective of Self-supervised Learning.
CoRR, 2020

2019
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning.
CoRR, 2019

2018
Metric Learning-Guided Least Squares Classifier Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Hierarchical Dirichlet Process-based Open Set Recognition.
CoRR, 2018


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