activity
20212024
most citedA Compact Neural Network-based Algorithm for Robust Image Watermarking

10 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Robust Capped lp-Norm Support Vector Ordinal Regression

Haorui Xiang, Zhichang Wu, Guoxu Li +3

Ordinal regression is a specialized supervised problem where the labels show an inherent order. The order distinguishes it from normal multi-class problem. Support Vector Ordinal R…

cs.LG2024

Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning

Rong Wang, Guichen Zhou, Mingjun Gao +1

In recent years, the neural network backdoor hidden in the parameters of the federated learning model has been proved to have great security risks. Considering the characteristics…

eess.IV20233 cited

OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation

Ahmed Albishri, Syed Jawad Hussain Shah, Yugyung Lee +1

Accurate detection of oral cancer is crucial for improving patient outcomes. However, the field faces two key challenges: the scarcity of deep learning-based image segmentation res…

cs.CV202110 cited

A Compact Neural Network-based Algorithm for Robust Image Watermarking

Hong-Bo Xu, Rong Wang, Jia Wei +1

Digital image watermarking seeks to protect the digital media information from unauthorized access, where the message is embedded into the digital image and extracted from it, even…

cs.CL2021

Transcribing Natural Languages for The Deaf via Neural Editing Programs

Dongxu Li, Chenchen Xu, Liu Liu +4

This work studies the task of glossification, of which the aim is to em transcribe natural spoken language sentences for the Deaf (hard-of-hearing) community to ordered sign langua…

cs.LG2021

New Tight Relaxations of Rank Minimization for Multi-Task Learning

Wei Chang, Feiping Nie, Rong Wang +1

Multi-task learning has been observed by many researchers, which supposes that different tasks can share a low-rank common yet latent subspace. It means learning multiple tasks joi…