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20212024
most citedRethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination

51 citations · 54 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2024

An Effective Learning Management System for Revealing Student Performance Attributes

Xinyu Zhang, Vincent CS Lee, Duo Xu +2

A learning management system streamlines the management of the teaching process in a centralized place, recording, tracking, and reporting the delivery of educational courses and s…

cs.LG2024★ 2 cited

From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research

Xinyu Zhang, Vincent CS Lee, Feng Liu

Thyroid cancer, the most prevalent endocrine cancer, has gained significant global attention due to its impact on public health. Extensive research efforts have been dedicated to l…

cs.LG2022★ 51 cited

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination

Yizhen Zheng, Shirui Pan, Vincent Cs Lee +2

Graph contrastive learning (GCL) alleviates the heavy reliance on label information for graph representation learning (GRL) via self-supervised learning schemes. The core idea is t…

eess.IV2022★ 1 cited

Multi-channel deep convolutional neural networks for multi-classifying thyroid disease

Xinyu Zhang, Vincent CS. Lee, Jia Rong +3

Thyroid disease instances have been continuously increasing since the 1990s, and thyroid cancer has become the most rapidly rising disease among all the malignancies in recent year…

cs.CV2021

NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning

Tony Ng, Hyo Jin Kim, Vincent Lee +7

In the light of recent analyses on privacy-concerning scene revelation from visual descriptors, we develop descriptors that conceal the input image content. In particular, we propo…