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EDBT 2026 Demo / reviewers in the wild / expert

Jingwen Qian

dblp:266/3089 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

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
Multi-agent systems · 100%
Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › multi-agent decision making
collective decision-making		 0.512021
OPRA: An Open-Source Online Preference Reporting and Aggregation System · AAAI 2021
Knowledge, reasoning and agents › Multi-agent systems › social choice
preference aggregation		 0.512021
OPRA: An Open-Source Online Preference Reporting and Aggregation System · AAAI 2021
Human-AI interaction
decision support		 0.112021
OPRA: An Open-Source Online Preference Reporting and Aggregation System · AAAI 2021

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

preference reporting · 1.0combinatorial voting · 1.0
YearPublicationVenuePosition
2021 OPRA: An Open-Source Online Preference Reporting and Aggregation System
abstract
We introduce the Online Preference Reporting and Aggregation (OPRA) system, an open-source online system that aims at providing support for group decision-making. We illustrate OPRA's distinctive features: UI for reporting rankings with ties, comprehensive analytics of preferences, and group decision-making in combinatorial domains. We also discuss our work in an automatic mentor matching system. We hope that the open-source nature of OPRA will foster development of computerized group decision support systems.
Jingwen Qian, Lirong Xia, Gavriel Zahavi
 AAAI2