Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Lejun Shao

dblp:74/1392 · DBLP profile ↗
← Back
4ranked-venue papers
2as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorSystems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 100%
Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
robot programming		 0.011987
PROGRESS-A graphical robot programming system · ICRA 1987
Programming languages and type systems › programming paradigms
visual programming languages		 0.011987
PROGRESS-A graphical robot programming system · ICRA 1987

Methods — techniques the papers use, named apart from their topics

geometric representation of logical conditions · 0.0
YearPublicationVenuePosition
1996 Curve Fitting with Bézier Cubics
Lejun Shao
 CVGIP Graph. Model. Image Process.1
1995 A new contour fill algorithm for outlined character image generation
Lejun Shao
 Comput. Graph.1
1991 Estimating 3-D location parameters using dual number quaternions
Michael W. Walker, Lejun Shao, Richard A. Volz
 CVGIP Image Underst.2
1987 PROGRESS-A graphical robot programming system
abstract
A graphical off-line robot programming system should not only be able to simulate various types of robot movement graphically, it should also be able to use graphics to interact with binary sensors, actuators and etc., in order to simulate logic-related and other functions of robot languages, such as testing and branching, looping, communication and external event handling graphically. We present a graphical off-line robot programming system which has some of these additional features. In particular, it incorporates a geometrical representation of logical conditions into the geometrical representation of the robot and workspace and it allows conditional statements to be programmed in a geometric setting.
Arch W. Naylor, Lejun Shao, Richard A. Volz, Richard Jungclas, Paul Bixel, Kurt Lloyd
 ICRA2