Stochastic Dynamics and Machine Learning Lab
Korea University

Publications

Lab members are shown in bold. See also Google Scholar.

2026

  1. NeurIPS
    Refining Compositional Diffusion for Reliable Long-Horizon Planning
    Kyowoon Lee, Yunhao Luo, Anh Tong, and Jaesik Choi
    Advances in Neural Information Processing Systems (NeurIPS), 2026
    BibTeX
    @inproceedings{lee2026refining,
  title = {Refining Compositional Diffusion for Reliable Long-Horizon Planning},
  author = {Lee, Kyowoon and Luo, Yunhao and Tong, Anh and Choi, Jaesik},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}
  2. NeurIPS
    PRISM: Principal Subspace Alignment for Parameter-Efficient Fine-Tuning
    Anh Tong, Kyowoon Lee, and Jaesik Choi
    Advances in Neural Information Processing Systems (NeurIPS), 2026
    BibTeX
    @inproceedings{tong2026prism,
  title = {{PRISM}: Principal Subspace Alignment for Parameter-Efficient Fine-Tuning},
  author = {Tong, Anh and Lee, Kyowoon and Choi, Jaesik},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}
  3. NeurIPS
    SaMA: Morpho Adaptation via Asymmetric Expansion of Kronecker Product
    An V. Nguyen and Anh Tong
    Advances in Neural Information Processing Systems (NeurIPS), 2026
    BibTeX
    @inproceedings{nguyen2026sama,
  title = {{SaMA}: Morpho Adaptation via Asymmetric Expansion of {Kronecker} Product},
  author = {Nguyen, An V. and Tong, Anh},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026}
}
  4. IJCAI
    LoCO: Low-rank Compositional Rotation Fine-tuning
    An Nguyen, Jaesik Choi, and Anh Tong
    International Joint Conference on Artificial Intelligence (IJCAI), 2026
    arXiv
    BibTeX
    @inproceedings{nguyen2026loco,
  title = {{LoCO}: Low-rank Compositional Rotation Fine-tuning},
  author = {Nguyen, An and Choi, Jaesik and Tong, Anh},
  booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
  year = {2026}
}
  5. CSUR
    Towards Transparent Time Series Analysis: Exploring Methods and Enhancing Interpretability
    Youngjin Park, Anh Tong, Sehyun Lee, Jihyeon Seong, Qin Xie, and Jaesik Choi
    ACM Computing Surveys, 2026
    DOI
    BibTeX
    @article{park2026transparent,
  title = {Towards Transparent Time Series Analysis: Exploring Methods and Enhancing Interpretability},
  author = {Park, Youngjin and Tong, Anh and Lee, Sehyun and Seong, Jihyeon and Xie, Qin and Choi, Jaesik},
  journal = {ACM Computing Surveys},
  year = {2026},
  doi = {10.1145/3794839}
}

2023

  1. ICAIF
    SigFormer: Signature Transformers for Deep Hedging
    Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Toan M. Tran, and Jaesik Choi
    ACM International Conference on AI in Finance (ICAIF), 2023
    DOI
    BibTeX
    @inproceedings{tong2023sigformer,
  title = {{SigFormer}: Signature Transformers for Deep Hedging},
  author = {Tong, Anh and Nguyen-Tang, Thanh and Lee, Dongeun and Tran, Toan M. and Choi, Jaesik},
  booktitle = {ACM International Conference on AI in Finance (ICAIF)},
  year = {2023},
  doi = {10.1145/3604237.3626841}
}
  2. TMLR
    Global Contrastive Learning for Long-Tailed Classification
    Thong Bach, Anh Tong, Truong Hy Son, Vu Nguyen, and Thanh Nguyen-Tang
    Transactions on Machine Learning Research (TMLR), 2023
    PDF
    BibTeX
    @article{bach2023global,
  title = {Global Contrastive Learning for Long-Tailed Classification},
  author = {Bach, Thong and Tong, Anh and Son, Truong Hy and Nguyen, Vu and Nguyen-Tang, Thanh},
  journal = {Transactions on Machine Learning Research (TMLR)},
  year = {2023}
}
  3. ESPR
    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
    Tien Van Do, Quang Tran Vuong, Anh Tong, Chang-Keun Song, and Sung-Deuk Choi
    Environmental Science and Pollution Research, 2023
    DOI
    BibTeX
    @article{do2023roles,
  title = {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}},
  author = {Do, Tien Van and Vuong, Quang Tran and Tong, Anh and Song, Chang-Keun and Choi, Sung-Deuk},
  journal = {Environmental Science and Pollution Research},
  year = {2023},
  doi = {10.1007/s11356-023-29036-0}
}

2022

  1. NeurIPS
    Learning Fractional White Noises in Neural Stochastic Differential Equations
    Anh Tong, Thanh Nguyen-Tang, Toan Tran, and Jaesik Choi
    Advances in Neural Information Processing Systems (NeurIPS), 2022
    PDF
    BibTeX
    @inproceedings{tong2022fractional,
  title = {Learning Fractional White Noises in Neural Stochastic Differential Equations},
  author = {Tong, Anh and Nguyen-Tang, Thanh and Tran, Toan and Choi, Jaesik},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022}
}

2021

  1. AAAI
    Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
    Anh Tong, Toan Tran, Hung Bui, and Jaesik Choi
    AAAI Conference on Artificial Intelligence (AAAI), 2021
    PDF
    BibTeX
    @inproceedings{tong2021compositional,
  title = {Learning Compositional Sparse {Gaussian} Processes with a Shrinkage Prior},
  author = {Tong, Anh and Tran, Toan and Bui, Hung and Choi, Jaesik},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021}
}
  2. AAAI
    Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
    Anh Tong and Jaesik Choi
    AAAI Conference on Artificial Intelligence (AAAI), 2021
    PDF
    BibTeX
    @inproceedings{tong2021characterizing,
  title = {Characterizing Deep {Gaussian} Processes via Nonlinear Recurrence Systems},
  author = {Tong, Anh and Choi, Jaesik},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021}
}

2019

  1. ICML
    Discovering Latent Covariance Structures for Multiple Time Series
    Anh Tong and Jaesik Choi
    International Conference on Machine Learning (ICML), 2019
    PDF
    BibTeX
    @inproceedings{tong2019discovering,
  title = {Discovering Latent Covariance Structures for Multiple Time Series},
  author = {Tong, Anh and Choi, Jaesik},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019}
}
  2. IJCAI
    Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes
    Jiyeon Han, Kyowoon Lee, Anh Tong, and Jaesik Choi
    International Joint Conference on Artificial Intelligence (IJCAI), 2019
    PDF
    BibTeX
    @inproceedings{han2019confirmatory,
  title = {Confirmatory {Bayesian} Online Change Point Detection in the Covariance Structure of {Gaussian} Processes},
  author = {Han, Jiyeon and Lee, Kyowoon and Tong, Anh and Choi, Jaesik},
  booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
  year = {2019}
}

2016

  1. ICML
    Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series
    Yunseong Hwang, Anh Tong, and Jaesik Choi
    International Conference on Machine Learning (ICML), 2016
    PDF
    BibTeX
    @inproceedings{hwang2016automatic,
  title = {Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series},
  author = {Hwang, Yunseong and Tong, Anh and Choi, Jaesik},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016}
}

Software