activity
20162024
collaborators

5 papers

eess.IV2024

Depth-Aware Endoscopic Video Inpainting

Francis Xiatian Zhang, Shuang Chen, Xianghua Xie +1

Video inpainting fills in corrupted video content with plausible replacements. While recent advances in endoscopic video inpainting have shown potential for enhancing the quality o…

eess.IV2023

Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI

Xiatian Zhang, Sisi Zheng, Hubert P. H. Shum +4

Resting-state fMRI (rs-fMRI) functional connectivity (FC) analysis provides valuable insights into the relationships between different brain regions and their potential implication…

cs.CV2022

Towards Graph Representation Learning Based Surgical Workflow Anticipation

Xiatian Zhang, Noura Al Moubayed, Hubert P. H. Shum

Surgical workflow anticipation can give predictions on what steps to conduct or what instruments to use next, which is an essential part of the computer-assisted intervention syste…

cs.CV2022

Pose-based Tremor Classification for Parkinson's Disease Diagnosis from Video

Haozheng Zhang, Edmond S. L. Ho, Xiatian Zhang +1

Parkinson's disease (PD) is a progressive neurodegenerative disorder that results in a variety of motor dysfunction symptoms, including tremors, bradykinesia, rigidity and postural…

cs.LG2016

Greedy Step Averaging: A parameter-free stochastic optimization method

Xiatian Zhang, Fan Yao, Yongjun Tian

In this paper we present the greedy step averaging(GSA) method, a parameter-free stochastic optimization algorithm for a variety of machine learning problems. As a gradient-based o…