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

Guanglei Yue

dblp:415/1614 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 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
Language models and text generation · 67% Transfer learning and domain adaptation · 33%
Databases, data mining, and information retrieval
1 paper
Recommender systems · 50% Information retrieval · 50%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Recommender systems
content recommendation		 1.012026
What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty · ACL (1) 2026
Information retrieval
retrieval models		 1.012026
What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty · ACL (1) 2026
Natural language and speech › Language models and text generation › large language model training
continual pre-training		 0.912025
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs · EMNLP 2025
Natural language and speech › Language models and text generation › large language model training
data selection for language model training		 0.912025
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs · EMNLP 2025
Machine learning › Transfer learning and domain adaptation › domain adaptation › domain adaptation for NLP
domain adaptation of language models		 0.912025
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs · EMNLP 2025

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

novelty modeling · 1.0
YearPublicationVenuePosition
2026 What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty
abstract
Powei Chang, Jin Xiao, Guanglei Yue, Qianyu He, Yanghua Xiao, Deqing Yang, Jiaqing Liang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Powei Chang, Guanglei Yue, Qianyu He, Yanghua Xiao, Deqing Yang, Jiaqing Liang
 ACL (1)3
2025 Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs
abstract
Yizhou Ying, Geng Zhang, Cui Danxin, Chengyu Du, Guanglei Yue, Sihang Jiang, Jiaqing Liang, Yifei Fu, Hailin Hu, Yanghua Xiao. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.
Yizhou Ying, Cui Danxin, Chengyu Du, Guanglei Yue, Sihang Jiang 0001, Jiaqing Liang, Yifei Fu, Hailin Hu 0002, Yanghua Xiao
 EMNLP5