17 citations · 17 across the 6 of their papers we have counts for
6 papers
A Dual-Branch CNN for Robust Detection of AI-Generated Facial Forgeries
Xin Zhang, Yuqi Song, Fei Zuo
The rapid advancement of generative AI has enabled the creation of highly realistic forged facial images, posing significant threats to AI security, digital media integrity, and pu…
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…
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…
TRScore: A Novel GPT-based Readability Scorer for ASR Segmentation and Punctuation model evaluation and selection
Piyush Behre, Sharman Tan, Amy Shah +5
Punctuation and Segmentation are key to readability in Automatic Speech Recognition (ASR), often evaluated using F1 scores that require high-quality human transcripts and do not re…
K-Regret Queries Using Multiplicative Utility Functions
Jianzhong Qi, Fei Zuo, Hanan Samet +1
The k-regret query aims to return a size-k subset S of a database D such that, for any query user that selects a data object from this size-k subset S rather than from database D,…