EDUCATION

2020–2025 Ph.D., Xidian University

2016–2020 B.Sc., Xidian University

RESEARCH INTERESTS

Fine-grained and spatial visual understanding in multimodal large models; unified paradigms across modalities.

Large model inference acceleration, model compression, and neural network pruning.

Mechanistic studies bridging deep neural networks and human brain neural systems; modeling of neural mechanisms.

Long-tailed learning, federated learning with data heterogeneity.

TEACHING

Artificial Intelligence: Foundations of Perception and Cognition

PUBLICATIONS

2025

Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning

Yanbiao Ma, Wei Dai, Wenke Huang, Jiayi Chen

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2025)

Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount

Yanbiao Ma, Wei Dai, Jiayi Chen

The Thirteenth International Conference on Learning Representations (ICLR 2025)

Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds

Yanbiao Ma, Licheng Jiao, Fang Liu, Maoji Wen, Lingling Li, Wen Ma, Shuyuan Yang, Xu Liu, Puhua Che

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)


2024

Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds

Yanbiao Ma, Licheng Jiao, Fang Liu, Lingling Li, Wen Ma, Shuyuan Yang, Xu Liu, Puhua ChenI

EEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua Chen

International Journal of Computer Vision (IJCV)


2023

Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li

Proceedings of the 31st ACM International Conference on Multimedia (ACM MM)

Feature Distribution Representation Learning Based on Knowledge Transfer for Long-Tailed Classification

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Puhua ChenI

EEE Transactions on Multimedia

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification

Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2023)

Delving into Semantic Scale Imbalance

Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu

The International Conference on Learning Representations (ICLR 2023)

CONTACT

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