1 citations · 1 across the 11 of their papers we have counts for
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Classifier Enhancement Using Extended Context and Domain Experts for Semantic Segmentation
Huadong Tang, Youpeng Zhao, Min Xu +2
Prevalent semantic segmentation methods generally adopt a vanilla classifier to categorize each pixel into specific classes. Although such a classifier learns global information fr…
A.I.R.: Enabling Adaptive, Iterative, and Reasoning-based Frame Selection For Video Question Answering
Yuanhao Zou, Shengji Jin, Andong Deng +3
Effectively applying Vision-Language Models (VLMs) to Video Question Answering (VideoQA) hinges on selecting a concise yet comprehensive set of frames, as processing entire videos…
Are We Scaling the Right Thing? A System Perspective on Test-Time Scaling
Youpeng Zhao, Jinpeng LV, Di Wu +2
Test-time scaling (TTS) has recently emerged as a promising direction to exploit the hidden reasoning capabilities of pre-trained large language models (LLMs). However, existing sc…
AIRES: Accelerating Out-of-Core GCNs via Algorithm-System Co-Design
Shakya Jayakody, Youpeng Zhao, Jun Wang
Graph convolutional networks (GCNs) are fundamental in various scientific applications, ranging from biomedical protein-protein interactions (PPI) to large-scale recommendation sys…
Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding
Yunpeng Xiao, Youpeng Zhao, Kai Shu
Natural language understanding (NLU) is a task that enables machines to understand human language. Some tasks, such as stance detection and sentiment analysis, are closely related…