International Conference on Data Mining

ICDM

“The IEEE International Conference on Data Mining series (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences.” - ICDM Website

Publications

2023

Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization

Xiangyu Li, Armand Ovanessians, Hua Wang

ICDM

Conference

Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs

Xiangyu Li, Armand Ovanessians, Hua Wang

ICDM

Conference

Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray Recognition

Hoon Seo, Hua Wang

ICDM

Conference

2022

On Mean-Optimal Robust Linear Discriminant Analysis

Xiangyu Li, Hua Wang

ICDM

Conference

2021

A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications

Lodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang

ICDM

Conference

2012

Robust Matrix Completion via Joint Schatten p-Norm and Lp-Norm Minimization

Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris Ding.

ICDM

Conference

2011

Nonnegative Matrix Tri-Factorization Based High-Order Co-Clustering and Its Fast Implementation

Hua Wang, Feiping Nie, Heng Huang, Chris Ding.

ICDM

Conference