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Author

Anh Tong

Observed name: Tong, Anh
Institution: Korea University
ORCID: 0009-0008-2494-0044
Observed ORCID: 0009-0008-2494-0044
OpenAlex ID: A5064825850
Automatic construction of nonparametric relational regression models for multiple time series
2016 · Yunseong Hwang, Anh Tong, et al. · Scholarworks@UNIST (Ulsan National Institute of Science and Technology) · 33
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Discovering Latent Covariance Structures for Multiple Time Series
2017 · Tong, Anh, Choi, Jaesik · arXiv (Cornell University) · 14
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SigFormer: Signature Transformers for Deep Hedging
2023 · Anh Tong, Thanh Nguyen-Tang, et al. · ACM International Conference on AI in Finance (ICAIF) · 11
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Roles of ambient temperature and relative humidity on the relationship between fine particulate matter and gaseous pollutants in the largest industrial city of Ulsan, South Korea
2023 · Tien Van Do, Quang Tran Vuong, et al. · Environmental Science and Pollution Research · 7
High‐Pressure Studies of Correlated Electron Systems
2022 · Pau Jorba, Alexander Regnat, et al. · physica status solidi (b) · 7
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Automatic Generation of Probabilistic Programming from Time Series Data
2016 · Tong, Anh, Choi, Jaesik · arXiv (Cornell University) · 7
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Towards Transparent Time Series Analysis: Exploring Methods and Enhancing Interpretability
2026 · Youngjin Park, Anh Tong, et al. · ACM Computing Surveys · 4
Learning Fractional White Noises in Neural Stochastic Differential Equations
2022 · Anh Tong, Thanh Nguyen-Tang, et al. · neural information processing systems · 4
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
2021 · Anh Tong, Toan M Tran, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 3
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
2025 · Anh T Nguyen, Lam Tran, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2
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Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
2021 · Anh Tong, Jaesik Choi · Proceedings of the AAAI Conference on Artificial Intelligence · 2
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes
2019 · Jiyeon Han, Kyowoon Lee, et al. · International Joint Conference on Artificial Intelligence · 2
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Probabilistic Model Discovery Relational Learning and Scalable Inference
2021 · Anh Tong · Scholarworks@UNIST (Ulsan National Institute of Science and Technology)
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Discovering Explainable Latent Covariance Structure for Multiple Time Series
2017 · Anh Tong, Jaesik Choi · arXiv (Cornell University)
Discovering Relational Covariance Structures for Explaining Multiple Time Series
2017 · Anh Tong, Jaesik Choi · arXiv (Cornell University)
A Nonparametric Bayesian Clustering to Discover Latent Covariance Structure of Multiple Time Series
2017 · Anh Tong, Jaesik Choi · arXiv (Cornell University)
Searching for Topological Symmetry in Data Haystack
2016 · Roy, Kallol, Tong, Anh, et al. · arXiv (Cornell University)
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Works count: 20
Citation count: 96
H-index: 6
I10-index: 3
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