activity
20232026
most citedEnabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis

15 citations · 18 across the 12 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.AI2026

CRC-Router: Risk-Constrained Routing for Medical Agentic AI Systems

Xueyang Li, Mingze Jiang, Gelei Xu +5

Agentic AI systems are increasingly being explored in medical imaging to improve throughput and reduce clinician workload; however, safe deployment remains challenging because auto…

cs.LG2026

FastMix: Fast Data Mixture Optimization via Gradient Descent

Haoru Tan, Sitong Wu, Yanfeng Chen +5

While large and diverse datasets have driven recent advances in large models, identifying the optimal data mixture for pre-training and post-training remains a significant open pro…

cs.CV2026

SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding

Zheng Fang, Ziwei Niu, Ziyue Wang +5

Surgical scene Multi-Task Federated Learning (MTFL) is essential for robot-assisted minimally invasive surgery (RAS) but remains underexplored in surgical video understanding due t…

cs.CV2026

SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation

Zixuan Pan, Kaiyuan Tang, Jun Xia +5

2D Gaussian Splatting has emerged as a novel image representation technique that can support efficient rendering on low-end devices. However, scaling to high-resolution images requ…

cs.CV2026

Patient-Conditioned Adaptive Offsets for Reliable Diagnosis across Subgroups

Gelei Xu, Yuying Duan, Jun Xia +3

AI models for medical diagnosis often exhibit uneven performance across patient populations due to heterogeneity in disease prevalence, imaging appearance, and clinical risk profil…