Le, Dung D.

8 publications

ECML-PKDD 2025 Designing Search Space for Unbounded Bayesian Optimization via Transfer Learning Quoc Anh Hoang Nguyen, Hung The Tran, Sunil Gupta, Dung D. Le

AAAI 2025 Improving Pareto Set Learning for Expensive Multi-Objective Optimization via Stein Variational Hypernetworks Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen, Long P. Hoang, Dung D. Le

ICML 2025 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

AAAI 2023 Improving Pareto Front Learning via Multi-Sample Hypernetworks Long P. Hoang, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang

ICLRW 2022 Learning Weighted Product Spaces Representations for Graphs of Heterogeneous Structures Tuc Van Nguyen, Dung D. Le, Anh Ta

JAIR 2021 Efficient Retrieval of Matrix Factorization-Based Top-K Recommendations: A Survey of Recent Approaches Dung D. Le, Hady Wirawan Lauw

AAAI 2020 Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval Dung D. Le, Hady W. Lauw

IJCAI 2019 Learning Multiple Maps from Conditional Ordinal Triplets Dung D. Le, Hady W. Lauw