53 citations · 72 across the 13 of their papers we have counts for
13 papers
An Enhanced Federated Prototype Learning Method under Domain Shift
Liang Kuang, Kuangpu Guo, Jian Liang +1
Federated Learning (FL) allows collaborative machine learning training without sharing private data. Numerous studies have shown that one significant factor affecting the performan…
Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models
Qingqiao Hu, Daoan Zhang, Jiebo Luo +4
Learning meaningful and interpretable representations from high-dimensional volumetric magnetic resonance (MR) images is essential for advancing personalized medicine. While Vision…
Gradient-Guided Modality Decoupling for Missing-Modality Robustness
Hao Wang, Shengda Luo, Guosheng Hu +1
Multimodal learning with incomplete input data (missing modality) is practical and challenging. In this work, we conduct an in-depth analysis of this challenge and find that modali…
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan, Yang He, Zhangqian Bi +6
Code intelligence leverages machine learning techniques to extract knowledge from extensive code corpora, with the aim of developing intelligent tools to improve the quality and pr…
Cross Contrasting Feature Perturbation for Domain Generalization
Chenming Li, Daoan Zhang, Wenjian Huang +1
Domain generalization (DG) aims to learn a robust model from source domains that generalize well on unseen target domains. Recent studies focus on generating novel domain samples o…
Strip-MLP: Efficient Token Interaction for Vision MLP
Guiping Cao, Shengda Luo, Wenjian Huang +4
Token interaction operation is one of the core modules in MLP-based models to exchange and aggregate information between different spatial locations. However, the power of token in…