Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series. - Yunseong Hwang; Anh Tong; Jaesik Choi (ICML, 2016)

Searching for Topological Symmetry in Data Haystack. - Kallol Roy; Anh Tong; Jaesik Choi (CoRR, 2016)

Discovering Latent Covariance Structures for Multiple Time Series. - Anh Tong; Jaesik Choi (ICML, 2019)

Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes. - Jiyeon Han; Kyowoon Lee; Anh Tong; Jaesik Choi (IJCAI, 2019)

Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems. - Anh Tong; Jaesik Choi (AAAI, 2021)

Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior. - Anh Tong; Toan M. Tran; Hung Bui; Jaesik Choi (AAAI, 2021)

Learning Fractional White Noises in Neural Stochastic Differential Equations. - Anh Tong; Thanh Nguyen-Tang; Toan M. Tran; Jaesik Choi (NeurIPS, 2022)

SigFormer: Signature Transformers for Deep Hedging. - Anh Tong; Thanh Nguyen-Tang; Dongeun Lee 001; Toan M. Tran; Jaesik Choi (ICAIF, 2023)

Conditional Support Alignment for Domain Adaptation with Label Shift. - Anh T. Nguyen; Lam Tran; Anh Tong; Tuan-Duy H. Nguyen; Toan Tran (CoRR, 2023)

Global Contrastive Learning for Long-Tailed Classification. - Thong Bach; Anh Tong; Truong Son Hy; Vu Nguyen; Thanh Nguyen-Tang (Trans. Mach. Learn. Res., 2023)

CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift. - Anh T. Nguyen; Lam Tran; Anh Tong; Tuan-Duy H. Nguyen; Toan Tran (AAAI, 2025)

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning. - Anh Tong; Thanh Nguyen-Tang; Dongeun Lee 001; Duc Nguyen; Toan M. Tran; David Leo Wright Hall; Cheongwoong Kang; Jaesik Choi (ICLR, 2025)