VLDB 2026 Research / reviewers in the wild / expert
Xiaokai Huang
dblp:303/2198
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2025
0009-0003-5020-0182ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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
2 papers |
Probabilistic and Bayesian machine learning · 75% Representation and self-supervised learning · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning › causal inference
causal discovery |
0.8 | 1 | 2024 | Individual Causal Structure Learning from Population Data · IJCAI 2024 |
Machine learning › Probabilistic and Bayesian machine learning
causal inference |
0.8 | 1 | 2024 | Individual Causal Structure Learning from Population Data · IJCAI 2024 |
Machine learning › Representation and self-supervised learning
causal representation learning |
0.8 | 1 | 2024 | Granger causal representation learning for groups of time series · Sci. China Inf. Sci. 2024 |
Machine learning › Probabilistic and Bayesian machine learning › causal inference › causal discovery
granger causality |
0.8 | 1 | 2024 | Granger causal representation learning for groups of time series · Sci. China Inf. Sci. 2024 |
Methods — techniques the papers use, named apart from their topics
representation learning · 0.8granger causality · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Temporal latent variable structural causal model for causal discovery under external interferences
Ruichu Cai, Xiaokai Huang, Wei Chen 0103, Zijian Li 0001, Zhifeng Hao 0004 |
Neurocomputing | 2 |
| 2024 | Individual Causal Structure Learning from Population Data
Wei Chen 0103, Xiaokai Huang, Zijian Li 0001, Ruichu Cai, Zhiyi Huang 0008, Zhifeng Hao 0004 |
IJCAI | 2 |
| 2024 | Granger causal representation learning for groups of time series
Ruichu Cai, Yunjin Wu, Xiaokai Huang, Wei Chen 0103, Tom Z. J. Fu, Zhifeng Hao 0004 |
Sci. China Inf. Sci. | 3 |