most citedUniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates

Lijian Li, Yuanpeng He, Yudian Zheng +6

Feed-forward transformer models have driven remarkable progress in 3D vision,yet their quadratic complexity renders them impractical for long video sequences. Streaming 3D reconstr…

cs.CR2026

Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models

Chung-ju Huang, Huiqiang Zhao, Yuanpeng He +5

The increasing reliance on cloud-hosted Large Language Models (LLMs) exposes sensitive client data, such as prompts and responses, to potential privacy breaches by service provider…

cs.CV2025

Co-Evidential Fusion with Information Volume for Medical Image Segmentation

Yuanpeng He, Lijian Li, Tianxiang Zhan +3

Although existing semi-supervised image segmentation methods have achieved good performance, they cannot effectively utilize multiple sources of voxel-level uncertainty for targete…

eess.IV2025

Mutual Evidential Deep Learning for Medical Image Segmentation

Yuanpeng He, Yali Bi, Lijian Li +3

Existing semi-supervised medical segmentation co-learning frameworks have realized that model performance can be diminished by the biases in model recognition caused by low-quality…

cs.CR2025

Sparsification Under Siege: Dual-Level Defense Against Poisoning in Communication-Efficient Federated Learning

Zhiyong Jin, Runhua Xu, Chao Li +3

Gradient sparsification, while mitigating communication bottlenecks in Federated Learning (FL), fundamentally alters the geometric landscape of model updates. We reveal that the re…

cs.LG2025★ 2 cited

UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration

Chung-ju Huang, Yuanpeng He, Xiao Han +3

Cross-hospital collaboration has the potential to address disparities in medical resources across different regions. However, strict privacy regulations prohibit the direct sharing…