Publications

You can also find my articles on my Google Scholar profile.

Efficient Vision Foundation Models

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
Yunxiang Fu, Meng Lou, Yizhou Yu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, CCF-A
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba
Yunxiang Fu, Chaoqi Chen, Yizhou Yu
British Machine Vision Conference (BMVC), 2025, CORE A
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks
Meng Lou, Yunxiang Fu, Yizhou Yu
AAAI Conference on Artificial Intelligence (AAAI), 2025, CCF-A

Continual Learning for Vision Foundation Models

One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning
Yunxiang Fu, Meng Lou, Yizhou Yu
NeurIPS 2026 submission
Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts
Meng Lou, Yunxiang Fu, Yizhou Yu
International Conference on Machine Learning (ICML), 2026, CCF-A

Diffusion Models and Data Augmentation

DreamDA: Generative Data Augmentation with Diffusion Models
Yunxiang Fu, Chaoqi Chen, Yu Qiao, Yizhou Yu
Journal submission

Cross-Domain Foundation Model Representation Learning

Protein Representation Learning via Knowledge Enhanced Reasoning
Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu
International Conference on Learning Representations (ICLR), 2023, CCF-A