1 citations · 1 across the 4 of their papers we have counts for
4 papers
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision
Xiangyu Lin, Weijia Jia, Zhiguo Gong
Despite its popularity in sentence-level relation extraction, distantly supervised data is rarely utilized by existing work in document-level relation extraction due to its noisy n…
VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework
Zhi Yao, Zhiqing Tang, Jiong Lou +2
The Large Language Model (LLM) has gained significant popularity and is extensively utilized across various domains. Most LLM deployments occur within cloud data centers, where the…
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
Xubin Wang, Haojiong Shangguan, Fengyi Huang +2
Feature selection is a crucial step in data mining to enhance model performance by reducing data dimensionality. However, the increasing dimensionality of collected data exacerbate…
Online Container Scheduling for Low-Latency IoT Services in Edge Cluster Upgrade: A Reinforcement Learning Approach
Hanshuai Cui, Zhiqing Tang, Jiong Lou +1
In Mobile Edge Computing (MEC), Internet of Things (IoT) devices offload computationally-intensive tasks to edge nodes, where they are executed within containers, reducing the reli…