Ningkang Peng

According to our database, Ningkang Peng authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

How to Achieve Prototypical Birth and Death for OOD Detection?

Ningkang Peng, Qianfeng Yu, Xiaoqian Peng, Linjing Qian, Yafei Liu, Canran Xiao, Xinyu Lu, Tingyu Lu, Zhichao Zheng, Yanhui Gu

CoRR, March, 2026

PIS: A Physics-Informed System for Accurate State Partitioning of Aβ₄₂ Protein Trajectories.

Qianfeng Yu, Ningkang Peng, Yanhui Gu

CoRR, February, 2026

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

Ningkang Peng, Kun Shao, Jingyang Mao, Linjing Qian, Xiaoqian Peng, Xichen Yang, Yanhui Gu

CoRR, February, 2026

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

Ningkang Peng, Chuanjie Cheng, Jingyang Mao, Xiaoqian Peng, Feng Xing, Bo Zhang, Chao Tan, Zhichao Zheng, Peiheng Li, Yanhui Gu

CoRR, February, 2026

VMF-GOS: Geometry-guided virtual Outlier Synthesis for Long-Tailed OOD Detection.

Ningkang Peng, Qianfeng Yu, Yuhao Zhang, Yafei Liu, Xiaoqian Peng, Peirong Ma, Yi Chen, Peiheng Li, Yanhui Gu

CoRR, February, 2026

Breaking Semantic Hegemony: Decoupling Principal and Residual Subspaces for Generalized OOD Detection.

Ningkang Peng, Xiaoqian Peng, Yuhao Zhang, Qianfeng Yu, Feng Xing, Peirong Ma, Xichen Yang, Yi Chen, Tingyu Lu, Yanhui Gu

CoRR, February, 2026

Learning with Adaptive Prototype Manifolds for Out-of-Distribution Detection.

Ningkang Peng, JiuTao Zhou, Yuhao Zhang, Xiaoqian Peng, Qianfeng Yu, Linjing Qian, Tingyu Lu, Yi Chen, Yanhui Gu

CoRR, February, 2026

Atom-level Adaptive Receptive Fields: A Pruning-Based Encoder for 2D Molecular Graphs (Student Abstract).

Yuhao Zhang, Ningkang Peng, Yafei Liu, Lin Li, Masaru Kitsuregawa, Yanhui Gu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Affordance-First Decomposition for Continual Learning in Video-Language Understanding.

Mengzhu Xu, Hanzhi Liu, Ningkang Peng, Qianyu Chen, Canran Xiao

CoRR, December, 2025

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

Ningkang Peng, Yuzhe Mao, Yuhao Zhang, Linjin Qian, Qianfeng Yu, Yanhui Gu, Yi Chen, Li Kong

CoRR, October, 2025

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

Ningkang Peng, Shengjie Guo, Shuai Yuan, Masaru Kitsuregawa, Yanhui Gu

Web Intell., 2025

2024

Detection of algal tiny objects based on morphological features.

Shuai Yuan, Ningkang Peng, Ziyan Shi, Sichuan Zhao, Runcheng Li, Yanhui Gu, Huan He

Concurr. Comput. Pract. Exp., August, 2024

Class-Level Multiple Distributions Representation are Necessary for Semantic Segmentation.

Jianjian Yin, Ningkang Peng, Yi Chen, Zhichao Zheng, Yanhui Gu, Junsheng Zhou

Proceedings of the Database Systems for Advanced Applications, 2024

2023

MAgic: A Morphable Attention Based Algal Tiny Object Detection Model.

Shuai Yuan, Ningkang Peng, Ziyan Shi, Yanhui Gu, Beili Sun

Proceedings of the 10th International Conference on Behavioural and Social Computing, 2023