Dr. Trung Le
Senior Lecturer · Monash University
Dr. Trung Le
Senior Lecturer
Faculty of Information Technology, Monash University, Australia
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I am a Senior Lecturer (U.S. Associate Professor equivalent) at Monash University and a founder of the DreamAI Research Lab. My work bridges foundational theories, such as optimal transport, optimization, Bayesian and probabilistic inference, information theory, and causality, with next‑generation AI challenges including LLM alignment, reasoning, continual learning, generative AI, and trustworthy machine learning. My long‑term vision is to develop smart, intelligent, and secure AGI foundation models that are equitably accessible to everyone, and to mentor and cultivate the next generation of bold, rigorous AI researchers in Australia and Vietnam.
News
Latest updates
Recent paper acceptances, preprints, and lab announcements.
- Our paper Efficient Test-Time Scaling for LLM-based Time Series Forecasting has been selected as an oral presentation at KDD 2026
- Two papers accepted at ECCV 2026
- Five papers accepted at ICML 2026 spanning anomaly detection, knowledge distillation, and preference optimization.
- Two papers accepted at KDD 2026.
Eight papers accepted at ACL 2026.
- Our paper Exemplar-Free Continual Learning for State Space Models selected as a Highlight paper.
- Four papers accepted at CVPR 2026.
Seven papers accepted at ICLR 2026.
- Our paper DIET: Machine Unlearning on a Data-Diet selected as an Oral paper at AAAI 2026.
- Three papers accepted at AAAI 2026.
Giving a talk at A2I2 Deakin about optimal transport theory and its applications.
Giving a talk at Vin University about optimal transport theory and its applications.
Organizing the workshop at WWW 2025 named OT-SDMG: 2025 Workshop on Optimal Transport for Structured Data Modeling and Generation.
Research
Research directions in artificial intelligence
From alignment and security to theory, reasoning, and efficient foundation models.
Human-AI Alignment
Preference optimization, safety alignment, and token-based methods for aligning foundation models with human intent.
ExploreExplainable & Efficient AI
Interpretable models and resource-efficient learning for deployable, trustworthy AI systems.
ExploreContinual Learning Foundation Models
Lifelong adaptation, continual learning, incremental learning, and unlearning for evolving foundation models.
ExploreML/DL Theory
Kernel methods, optimization theory, and convergence analysis for modern deep learning.
ExploreFoundation Models Security
Jailbreak defense, adversarial robustness, and internal safeguards for LLMs and multimodal models.
ExploreDiffusion & Flow Matching
Generative modeling via diffusion, score-based methods, and flow matching for high-fidelity synthesis.
ExploreMachine Reasoning
Plan-guided learning, structured inference, and reasoning capabilities in large language models.
ExploreFoundation Distillation
Knowledge distillation, Wasserstein transfer, and efficient student models from large teachers.
ExploreContact
Get in touch
Dr. Trung Le, Senior Lecturer
Faculty of Information Technology, Monash University, Australia
I welcome enquiries regarding research collaboration. Please contact me via LinkedIn.