| 2025 | ICLR | Boosting Multiple Views for pretrained-based Continual Learning. | Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Q. Phung, Khoat Than, Trung Le |
| 2025 | ICLR | DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle. | Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen, Hoang Pham, Khoat Than, Long Tran-Thanh, Hongkai Wen |
| 2025 | ICML | Provably Improving Generalization of Few-shot models with Synthetic Data. | Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh, Dung D. Le, Long Tran-Thanh, Khoat Than |
| 2024 | AAAI | On Inference Stability for Diffusion Models. | Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran |
| 2024 | ACCV | Robust Visual Reinforcement Learning by Prompt Tuning. | Tung Tran, Khoat Than, Danilo Vasconcellos Vargas |
| 2022 | PAKDD | Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning. | Ngo Van Linh, Nam Le Hai, Hoang Pham, Khoat Than |
| 2022 | PAKDD | Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. | Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than |
| 2020 | ICML | Predictive Coding for Locally-Linear Control. | Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui |
| 2019 | ACL | Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings. | Linh The Nguyen, Ngo Van Linh, Khoat Than, Thien Huu Nguyen |
| 2019 | ACML | From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users. | Anh Phan Tuan, Nhat Nguyen Trong, Duong Bui Trong, Ngo Van Linh, Khoat Than |
| 2018 | ACIIDS | A Fast Algorithm for Posterior Inference with Latent Dirichlet Allocation. | Bui Thi-Thanh-Xuan, Vu Van-Tu, Atsuhiro Takasu, Khoat Than |
| 2017 | PAKDD | Sparse Stochastic Inference with Regularization. | Tung Doan, Khoat Than |
| 2017 | PAKDD | Keeping Priors in Streaming Bayesian Learning. | Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Khoat Than |
| 2016 | PAKDD | Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale. | Khai Mai, Sang Mai, Anh Nguyen, Ngo Van Linh, Khoat Than |
| 2015 | DASFAA | Effective and Interpretable Document Classification Using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions. | Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Nguyen Nguyen Tat |
| 2014 | ACML | Dual online inference for latent Dirichlet allocation. | Khoat Than, Tung Doan |