papers

Publications (26)

cs.LG2025

Accurate Diagnosis of Respiratory Viruses Using an Explainable Machine Learning with Mid-Infrared Biomolecular Fingerprinting of Nasopharyngeal Secretions

Wenwen Zhang, Zhouzhuo Tang, Yingmei Feng +3

Accurate identification of respiratory viruses (RVs) is critical for outbreak control and public health. This study presents a diagnostic system that combines Attenuated Total Refl…

eess.SP2024

On-Site Precise Screening of SARS-CoV-2 Systems Using a Channel-Wise Attention-Based PLS-1D-CNN Model with Limited Infrared Signatures

Wenwen Zhang, Zhouzhuo Tang, Yingmei Feng +3

During the early stages of respiratory virus outbreaks, such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the efficient utilize of limited nasopharyngeal swabs…

cs.IR2026

Attribute-Prompted Kernel Hashing for Unsupervised Data-Efficient Cross-Modal Retrieval

Runhao Li, Xiaoxu Ma, Zhenyu Weng +5

Unsupervised cross-modal hashing enables efficient retrieval of semantically related instances across different modalities without requiring manual semantic annotation. However, ex…

cs.CV2024

Box-Free Model Watermarks Are Prone to Black-Box Removal Attacks

Haonan An, Guang Hua, Zhiping Lin +1

Box-free model watermarking is an emerging technique to safeguard the intellectual property of deep learning models, particularly those for low-level image processing tasks. Existi…

cs.CV2022

Analytic Learning of Convolutional Neural Network For Pattern Recognition

Huiping Zhuang, Zhiping Lin, Yimin Yang +1

Training convolutional neural networks (CNNs) with back-propagation (BP) is time-consuming and resource-intensive particularly in view of the need to visit the dataset multiple tim…

cs.LG2021

Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view

Zhao Kang, Zhiping Lin, Xiaofeng Zhu +1

Graph-based subspace clustering methods have exhibited promising performance. However, they still suffer some of these drawbacks: encounter the expensive time overhead, fail in exp…