most citedSLIE: A Secure and Lightweight Cryptosystem for Data Sharing in IoT Healthcare Services

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2026

DeltaMerge-LowRes: Composing Language and Task Deltas for Low-Resource Adaptation

Son Ha Xuan, Xuan-Bach Le, Phat T. Tran-Truong

Adapting a multilingual encoder to a new language \emph{and} a new task with only a few hundred gold examples is a common low-resource NLP setting, yet the two axes are usually fus…

cs.GT2026

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation

Phat T. Tran-Truong, Xuan-Bach Le, Minh Nhat Nguyen

Federated foundation-model adaptation increasingly relies on heterogeneous private artifacts (retrieval corpora, prompts and demonstrations, LoRA adapters, preference and safety da…

cs.SE2026

Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents

Phat T. Tran-Truong, Xuan-Bach Le

Large language model (LLM) agents increasingly operate as sequential software systems, but their reliability is often summarized by scalar benchmark metrics. Metrics such as pass$@…

cs.CV2026

SegMaFormer: A Hybrid State-Space and Transformer Model for Efficient Segmentation

Duy D. Nguyen, Phat T. Tran-Truong

The advent of Transformer and Mamba-based architectures has significantly advanced 3D medical image segmentation by enabling global contextual modeling, a capability traditionally…

cs.SE2026

Exploring the Reasoning Depth of Small Language Models in Software Architecture: A Multidimensional Evaluation Framework Towards Software Engineering 2.0

Ha Vo, Nhut Tran, Khang Vo +2

In the era of "Software Engineering 2.0" (SE 2.0), where intelligent agents collaborate with human engineers, Generative AI is advancing beyond code generation into Software Archit…

cs.CR2026

Systematic Survey on Privacy-Preserving Architectures for IoT and Vehicular Data Sharing: Techniques, Challenges, and Future Directions

Phat T. Tran-Truong, Vinh X. Q. Nguyen, Ha X. Son +3

The proliferation of IoT and V2X systems generates unprecedented sensitive data at the network edge, demanding privacy-preserving architectures that enable secure sharing without e…