The conference program is on-line. Please check.

Visa letter
For any question related Visa letter and Registration, please contact Prof. Wei-Bang Chen: wchen [AT] vsu [DOT] edu.

Camera-ready submissions
For any question related to Camera- Ready submissions, please contact Prof. Min-yuh Day: myday [AT] mail [DOT] tku [DOT] edu [DOT] tw.

Acceptance rate
This year’s acceptance rate for the regular papers is 23.1%.

IEEE Computer Society Articles
As a special offer for registrants of IEEE IRI 2019, the IEEE Computer Society is offering free downloads of articles from four related publications. Click here to gain access.

Keynote Speakers

Keynote Speakers

Keynote 1

Some New Data Challenges in Data Science

Huan Liu
Arizona State University, USA
Keynote 2

“Chameleons” – Actors Who Can “Play Any Part”: Your Data Can Have a Starring Role Too!

Matthew C. Stafford
Chief Learning Officer
US Air Force’s Air Education and Training Command, Joint Base San Antonio, Texas, USA
Keynote 3

Graph Neural Networks for Supporting Knowledge-Data Integrated Machine Learning

Aidong Zhang
William Wulf Faculty Fellow and Professor of Computer Science
University of Virginia, USA

Important Dates

Abstract Submission:

April 25th, 2019 May 15, 2019

Deadline (regular/industry/application/government track):
May 2nd, 2019 May 18, 2019 (HARD DEADLINE)
Acceptance notification:

June 1st, 2019 June 18, 2019

Camera ready submission deadline:

June 20th, 2019 July 1, 2019 July 3, 2019

Author registration due:

July 1, 2019

Conference events

July 30 - Aug 1, 2019


Given the emerging global Information-centric IT landscape that has tremendous social and economic implications, effectively processing and integrating humungous volumes of information from diverse sources to enable effective decision making and knowledge generation have become one of the most significant challenges of current times. Information Reuse and Integration for Data Science (IRI) seeks to maximize the reuse of information by creating simple, rich, and reusable knowledge representations and consequently explores strategies for integrating this knowledge into systems and applications. IRI plays a pivotal role in the capture, representation, maintenance, integration, validation, and extrapolation of information; and applies both information and knowledge for enhancing decision-making in various application domains.

This conference explores three major tracks: information reuse, information integration, and reusable systems. Information reuse explores theory and practice of optimizing representation; information integration focuses on innovative strategies and algorithms for applying integration approaches in novel domains; and reusable systemsfocus on developing and deploying models and corresponding processes that enable Information Reuse and Integration to play a pivotal role in enhancing decision-making processes in various application domains.

The IEEE IRI conference serves as a forum for researchers and practitioners from academia, industry, and government to present, discuss, and exchange ideas that address real-world problems with real-world solutions. Theoretical and applied papers are both included. The conference program will include special sessions, open forum workshops, panels and keynote speeches.