activity
20222026
most citedTask-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification

6 citations · 13 across the 13 of their papers we have counts for

collaborators

12 papers

cs.LG2025

Attending on Multilevel Structure of Proteins enables Accurate Prediction of Cold-Start Drug-Target Interactions

Ziying Zhang, Yaqing Wang, Yuxuan Sun +2

Cold-start drug-target interaction (DTI) prediction focuses on interaction between novel drugs and proteins. Previous methods typically learn transferable interaction patterns betw…

cs.LG2025

FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning

Yuxuan Bai, Yuxuan Sun, Tan Chen +3

Federated edge learning (FEEL) enables collaborative model training across distributed clients over wireless networks without exposing raw data. While most existing studies assume…

cs.AI2024

IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents

Shrestha Mohanty, Negar Arabzadeh, Andrea Tupini +5

Seamless interaction between AI agents and humans using natural language remains a key goal in AI research. This paper addresses the challenges of developing interactive agents cap…

cs.LG20243 cited

Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks

Tan Chen, Jintao Yan, Yuxuan Sun +3

Hierarchical federated learning (HFL) enables distributed training of models across multiple devices with the help of several edge servers and a cloud edge server in a privacy-pres…

cs.CV20231 cited

Test-Time Training for Semantic Segmentation with Output Contrastive Loss

Yunlong Zhang, Yuxuan Sun, Sunyi Zheng +3

Although deep learning-based segmentation models have achieved impressive performance on public benchmarks, generalizing well to unseen environments remains a major challenge. To i…

cs.IT2023

A Grouping-based Scheduler for Efficient Channel Utilization under Age of Information Constraints

Lehan Wang, Jingzhou Sun, Yuxuan Sun +2

We consider a status information updating system where a fusion center collects the status information from a large number of sources and each of them has its own age of informatio…