activity
20222024
most citedCharacterizing and Understanding the Behavior of Quantized Models for Reliable Deployment

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2024

Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection

Yuejun Guo, Constantinos Patsakis, Qiang Hu +2

The significant increase in software production driven by automation and faster development lifecycles has resulted in a corresponding surge in software vulnerabilities. In paralle…

cs.SE2023

CodeLens: An Interactive Tool for Visualizing Code Representations

Yuejun Guo, Seifeddine Bettaieb, Qiang Hu +2

Representing source code in a generic input format is crucial to automate software engineering tasks, e.g., applying machine learning algorithms to extract information. Visualizing…

cs.CV2023

Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos

Liao Wang, Qiang Hu, Qihan He +5

The success of the Neural Radiance Fields (NeRFs) for modeling and free-view rendering static objects has inspired numerous attempts on dynamic scenes. Current techniques that util…

cs.GR2023

NEPHELE: A Neural Platform for Highly Realistic Cloud Radiance Rendering

Haimin Luo, Siyuan Zhang, Fuqiang Zhao +10

We have recently seen tremendous progress in neural rendering (NR) advances, i.e., NeRF, for photo-real free-view synthesis. Yet, as a local technique based on a single computer/GP…

cs.LG20221 cited

Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment

Qiang Hu, Yuejun Guo, Maxime Cordy +4

Deep Neural Networks (DNNs) have gained considerable attention in the past decades due to their astounding performance in different applications, such as natural language modeling,…