Hierarchical Dirichlet Process-based Open Set Recognition. - Chuanxing Geng; Songcan Chen (CoRR, 2018)

Metric Learning-Guided Least Squares Classifier Learning. - Chuanxing Geng; Songcan Chen (IEEE Trans. Neural Networks Learn. Syst., 2018)

Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning. - Chuanxing Geng; Lue Tao; Songcan Chen (CoRR, 2019)

A Multi-view Perspective of Self-supervised Learning. - Chuanxing Geng; Zhenghao Tan; Songcan Chen (CoRR, 2020)

Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection. - Weikai Li 003; Chuanxing Geng; Songcan Chen (CoRR, 2020)

Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes. - Chuanxing Geng; Lue Tao; Songcan Chen (Pattern Recognit., 2020)

A comprehensive perspective of contrastive self-supervised learning. - Songcan Chen; Chuanxing Geng (Frontiers Comput. Sci., 2021)

Recent Advances in Open Set Recognition: A Survey. - Chuanxing Geng; Sheng-Jun Huang; Songcan Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering. - Chuanxing Geng; Aiyang Han; Songcan Chen (CoRR, 2022)

Collective Decision for Open Set Recognition. - Chuanxing Geng; Songcan Chen (IEEE Trans. Knowl. Data Eng., 2022)

Collective Decision for Open Set Recognition (Extended Abstract). - Chuanxing Geng; Songcan Chen (ICDE, 2023)

Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends. - Xinrui Wang 003; Wenhai Wan; Chuanxing Geng; Shaoyuan Li; Songcan Chen (NeurIPS, 2023)

Universum-Inspired Supervised Contrastive Learning. - Aiyang Han; Chuanxing Geng; Songcan Chen (IEEE Trans. Image Process., 2023)

Multiplane Convex Proximal Support Vector Machine. - Chuanxing Geng; Songcan Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

All Beings Are Equal in Open Set Recognition. - Chaohua Li; Enhao Zhang 002; Chuanxing Geng; Songcan Chen (AAAI, 2024)

Dynamic against Dynamic: An Open-Set Self-Learning Framework. - Haifeng Yang; Chuanxing Geng; Pong C. Yuen; Songcan Chen (IJCAI, 2024)

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning. - Xinrui Wang 003; Chuanxing Geng; Wenhai Wan; Shao-Yuan Li; Songcan Chen (NeurIPS, 2024)

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning. - Xinrui Wang 003; Chuanxing Geng; Wenhai Wan; Shaoyuan Li; Songcan Chen (CoRR, 2024)

Guest Editorial: Anomaly detection and open-set recognition applications for computer vision. - Hakan Cevikalp; Robi Polikar; Ömer Nezih Gerek; Songcan Chen; Chuanxing Geng (IET Comput. Vis., 2024)

Dynamic Learnable Logit Adjustment for Long-Tailed Visual Recognition. - Enhao Zhang 002; Chuanxing Geng; Chaohua Li; Songcan Chen (IEEE Trans. Circuits Syst. Video Technol., 2024)

Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition. - Chaohua Li; Enhao Zhang 002; Chuanxing Geng; Songcan Chen (AAAI, 2025)

Equiangular Aligned Dual Prompt Learning for Open-Set Recognition. - Qifei Li; Enhao Zhang; Dong Liang; Chuanxing Geng (ICIC (9), 2025)

Class-aware Universum Inspired re-balance learning for long-tailed recognition. - Enhao Zhang 002; Chuanxing Geng; Songcan Chen (Pattern Recognit., 2025)

Filter, Obstruct and Dilute: Defending Against Backdoor Attacks on Semi-Supervised Learning. - Xinrui Wang 003; Chuanxing Geng; Wenhai Wan; Shaoyuan Li; Songcan Chen (CoRR, 2025)

Explicit View-Labels Matter: A Multifacet Complementarity Study of Multi-View Clustering. - Chuanxing Geng; Aiyang Han; Songcan Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey. - Chaohua Li; Enhao Zhang 002; Chuanxing Geng; Songcan Chen (CoRR, 2025)

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning. - Enhao Zhang 002; Chaohua Li; Chuanxing Geng; Songcan Chen (CoRR, 2025)

LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data. - Chuanxing Geng; Qifei Li; Xinrui Wang; Dong Liang 008; Songcan Chen; Pong C. Yuen (CoRR, 2025)

All-Around Neural Collapse for Imbalanced Classification. - Enhao Zhang 002; Chaohua Li; Chuanxing Geng; Songcan Chen (IEEE Trans. Knowl. Data Eng., 2025)