Ningkang Peng

Orcid: 0009-0004-3445-5676

According to our database1, Ningkang Peng authored at least 23 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Early High-Frequency Injection for Geometry-Sensitive OOD Detection.
CoRR, May, 2026

GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels.
CoRR, May, 2026

Holistic Reliability Propagation: Decoupling Annotation and Prediction for Robust Noisy-Label.
CoRR, May, 2026

Is Complex Training Necessary for Long-Tailed OOD Detection? A Re-think from Feature Geometry.
CoRR, May, 2026

When Accuracy Is Not Enough: Uncertainty Collapse between Noisy Label Learning and Out-of-Distribution Detection.
CoRR, May, 2026

Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning.
CoRR, May, 2026

HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels.
CoRR, May, 2026

How to Achieve Prototypical Birth and Death for OOD Detection?
CoRR, March, 2026

PIS: A Physics-Informed System for Accurate State Partitioning of Aβ<sub>42</sub> Protein Trajectories.
CoRR, February, 2026

Don't Break the Boundary: Continual Unlearning for OOD Detection Based on Free Energy Repulsion.
CoRR, February, 2026

Halt the Hallucination: Decoupling Signal and Semantic OOD Detection Based on Cascaded Early Rejection.
CoRR, February, 2026

VMF-GOS: Geometry-guided virtual Outlier Synthesis for Long-Tailed OOD Detection.
CoRR, February, 2026

Breaking Semantic Hegemony: Decoupling Principal and Residual Subspaces for Generalized OOD Detection.
CoRR, February, 2026

Learning with Adaptive Prototype Manifolds for Out-of-Distribution Detection.
CoRR, February, 2026

Atom-level Adaptive Receptive Fields: A Pruning-Based Encoder for 2D Molecular Graphs (Student Abstract).
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Affordance-First Decomposition for Continual Learning in Video-Language Understanding.
CoRR, December, 2025

A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection.
CoRR, October, 2025

Harnessing the wisdom of a radiologist: Texture-aware curriculum self-supervised learning for thorax disease classification.
Web Intell., 2025

MolJury: A Role-Driven Multi-agent Architecture for Factual Molecular Understanding.
Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

Optimized Feature Extraction and Alignment for Cross-Modal Molecule Retrieval.
Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

2024
Detection of algal tiny objects based on morphological features.
Concurr. Comput. Pract. Exp., August, 2024

Class-Level Multiple Distributions Representation are Necessary for Semantic Segmentation.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
MAgic: A Morphable Attention Based Algal Tiny Object Detection Model.
Proceedings of the 10th International Conference on Behavioural and Social Computing, 2023


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