Trung Le
Monash University
H-index: 23
Oceania-Australia
Top articles of Trung Le
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection | ACM Trans. Softw. Eng. Methodol | VAN NGUYEN TRUNG LE CHAKKRIT TANTITHAMTHAVORN JOHN GRUNDY DINH PHUNG | 2024/4 |
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers | arXiv preprint arXiv:2403.13204 | Anh Bui Vy Vo Tung Pham Dinh Phung Trung Le | 2024/3/19 |
Smartphone-based paper strip assay for putrescine and spermidine detection using hybrid organic–inorganic perovskite with Eu 3+ complex | Analyst | Thi Thuy Truong Hai Bang Truong Yong-Ill Lee | 2024 |
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts | arXiv preprint arXiv:2403.12326 | Anh Bui Khanh Doan Trung Le Paul Montague Tamas Abraham | 2024/3/18 |
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning | Minh-Tuan Tran Trung Le Xuan-May Le Mehrtash Harandi Dinh Phung | 2024 | |
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation | arXiv preprint arXiv:2401.15952 | Tuan Nguyen Van Nguyen Trung Le He Zhao Quan Hung Tran | 2024/1/29 |
DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition | arXiv preprint arXiv:2401.01387 | Parul Gupta Tuan Nguyen Abhinav Dhall Munawar Hayat Trung Le | 2024/1/1 |
Erasediff: Erasing data influence in diffusion models | arXiv preprint arXiv:2401.05779 | Jing Wu Trung Le Munawar Hayat Mehrtash Harandi | 2024/1/11 |
Frequency Attention for Knowledge Distillation | Cuong Pham Van-Anh Nguyen Trung Le Dinh Phung Gustavo Carneiro | 2024 | |
Optimal Transport for Structure Learning Under Missing Data | arXiv preprint arXiv:2402.15255 | Vy Vo He Zhao Trung Le Edwin V Bonilla Dinh Phung | 2024/2/23 |
Flat Seeking Bayesian Neural Networks | Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) | Van-Anh Nguyen Tung-Long Vuong Hoang Phan Thanh-Toan Do Dinh Phung | 2023 |
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning | Cuong Pham Cuong C. Nguyen Trung Le Dinh Phung Gustavo Carneiro | 2023 | |
Sharpness & Shift-Aware Self-Supervised Learning | arXiv preprint arXiv:2305.10252 | Ngoc N Tran Son Duong Hoang Phan Tung Pham Dinh Phung | 2023/5/17 |
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All | arXiv preprint arXiv:2311.15414 | Quyen Tran Lam Tran Khoat Than Toan Tran Dinh Phung | 2023/11/26 |
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization | arXiv preprint arXiv:2304.13229 | Anh Bui Trung Le He Zhao Quan Tran Paul Montague | 2023/4/26 |
VulExplainer: A Transformer-based Hierarchical Distillation for Explaining Vulnerability Types | IEEE Transactions on Software Engineering | Michael Fu Chakkrit (Kla) Tantithamthavorn Van Nguyen Trung Le Dinh Phung | 2023 |
Hyperbolic geometry in computer vision: A survey | arXiv preprint arXiv:2304.10764 | Pengfei Fang Mehrtash Harandi Trung Le Dinh Phung | 2023/4/21 |
Robust Contrastive Learning With Theory Guarantee | arXiv preprint arXiv:2311.09671 | Ngoc N Tran Lam Tran Hoang Phan Anh Bui Tung Pham | 2023/11/16 |
Adversarial local distribution regularization for knowledge distillation | Thanh Nguyen-Duc Trung Le He Zhao Jianfei Cai Dinh Phung | 2023 | |
Optimal Transport Model Distributional Robustness | Advances in Neural Information Processing Systems | Van-Anh Nguyen Trung Le Anh Bui Thanh-Toan Do Dinh Phung | 2024/2/13 |
Co-Authors
