Hi I’m a C.S Ph.D. student at University of Oregon under the supervision of Professor Thien Huu Nguyen. Before joining UO, I was an AI Resident at VinAI. Prior to that, I received my B.S. Degree in Computer Science at Hanoi University of Science and Technology.

My research develops task-sufficient representations, encodings that preserve task-relevant signal while discarding nuisance variation across languages, contexts, and confounders. Working at the intersection of Information Retrieval (IR) and Information Extraction (IE) with Large Language Models, I study three complementary questions: how such representations can be constructed to generalize across languages, domains, and modalities; how they can be maintained under long-horizon reasoning systems; and how their causal core can be identified under distribution shift. My broader goal is to address the joint problem of learning representations that are simultaneously universal, stable, and identifiable, toward AI systems that reliably retrieve, reason over, and extract structured knowledge from diverse and evolving textual corpora.

News

• 03/2026: Two papers was accepted at ACL2026
• 06/2025-09/2025: Joined Amazon AWS as Applied Research Intern
• 04/2025: One paper was accepted at SIGIR2025
• 01/2025: One paper was accepted at Proceedings of the 1stWorkshop on GenAI Content Detection (GenAIDetect)@ COLING2025
• 10/2024: One demo paper was accepted at EMNLP2024
• 01/2024: One paper was accepted at SIGIR2024
• 12/2023: One paper was accepted at AAAI2024 and two papers were accepted at COLING2024
• 09/2023: One paper was accepted at EMNLP2023
• 03/2023: Started my Ph.D. life at University of Oregon
• 01/2023: One paper was accepted at ACL2023
• 09/2022: One paper was accepted at EMNLP2022
• 11/2021: One paper was accepted at AAAI2022
• 03/2021: Joined VinAI research
• 09/2020: One paper was accepted at EMNLP2020