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

Tingyuan Zhu

dblp:393/4867 · 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
Deep learning architectures and training · 33% Generative modeling · 33% Trustworthy machine learning · 33%

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

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training
data augmentation		 1.012026
Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks · ACL (1) 2026
Machine learning › Trustworthy machine learning
fairness		 1.012026
Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks · ACL (1) 2026
Machine learning › Generative modeling › synthetic data generation › text data augmentation
LLM-based data augmentation		 1.012026
Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks · ACL (1) 2026

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

large language model · 1.0data augmentation · 1.0
YearPublicationVenuePosition
2026 Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
abstract
Miaomiao Li, Hao Chen, Yang Wang, Tingyuan Zhu, Weijia Zhang, Kaijie Zhu, Kam-Fai Wong, Jindong Wang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Hao Chen 0102, Tingyuan Zhu, Kaijie Zhu, Kam-Fai Wong, Jindong Wang 0001
 ACL (1)4