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

Zewen Song

dblp:439/2517 · 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.

Computer graphics and multimedia
1 paper
Audio and music processing · 100%
Artificial intelligence
1 paper
Generative modeling · 100%

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

TopicWeightPapersLastEvidence papers
Audio and music processing › music generation
song generation		 1.012026
SegTune: Structured and Fine-Grained Control for Song Generation · ACL (1) 2026
Machine learning › Generative modeling › diffusion model
controllable generation		 0.312026
SegTune: Structured and Fine-Grained Control for Song Generation · ACL (1) 2026

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

structured control · 2.0fine-grained control · 2.0
YearPublicationVenuePosition
2026 SegTune: Structured and Fine-Grained Control for Song Generation
abstract
Yuejiao Wang, Zihao Ji, Pengfei Cai, Xu Li, Haorui Zheng, Zewen Song, Zhongliang Liu, Chen Zhang, Pengfei Wan. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Yuejiao Wang, Zihao Ji, Pengfei Cai, Haorui Zheng, Zewen Song, Zhongliang Liu
 ACL (1)6