2 citations · 2 across the 5 of their papers we have counts for
5 papers
Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness
Xin Zhang, Yuqi Song, Wyatt McCurdy +2
Convolutional neural networks (CNNs) have gained increasing popularity and versatility in recent decades, finding applications in diverse domains. These remarkable achievements are…
SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language models
Xiao Shao, Weifu Jiang, Fei Zuo +1
Large language models (LLMs) have recently garnered significant accomplishments in various exploratory tasks, even surpassing the performance of traditional reinforcement learning-…
Designing a Security System Administration Course for Cybersecurity with a Companion Project
Fei Zuo, Junghwan Rhee, Myungah Park +1
In the past few years, an incident response-oriented cybersecurity program has been constructed at University of Central Oklahoma. As a core course in the newly-established curricu…
Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels
XIn Zhang, Yuqi Song, Fei Zuo +1
Multi-label classification is a widely encountered problem in daily life, where an instance can be associated with multiple classes. In theory, this is a supervised learning method…
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators
Xin Zhang, Yuqi Song, Xiaofeng Wang +1
Convolutional neural networks (CNNs) have been widely applied in many safety-critical domains, such as autonomous driving and medical diagnosis. However, concerns have been raised…