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Demo Data from EDBT 2026 / reviewers in the wild / expert

Kyle Qiao

dblp:437/3438 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

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

Artificial intelligence and machine learning · 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
Reinforcement learning · 100%
Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 100%

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

TopicWeightPapersLastEvidence papers
Machine learning › Reinforcement learning
self-improving agent		 1.012026
GUI0: Self-Evolving Foundational GUI Agents in Super App Ecosystems · ACL (1) 2026
Human-AI interaction
GUI agent		 1.012026
GUI0: Self-Evolving Foundational GUI Agents in Super App Ecosystems · ACL (1) 2026

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

self-evolution · 2.0GUI grounding · 2.0
YearPublicationVenuePosition
2026 GUI0: Self-Evolving Foundational GUI Agents in Super App Ecosystems
abstract
Xinyi Wang, Wei Dai, Kyle Qiao, Ke Wang, Peng Chen, Gang Cao, Kangqin, Zhongpu Wang, Xiaode Zhang, Yanming Liu, Jihao Gu, Jingtao Xu, Gong Zhi. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Kyle Qiao, Kang Qin, Zhongpu Wang, Xiaode Zhang, Jihao Gu, Jingtao Xu
 ACL (1)3