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researcher

V. Nguyen

4 papers hereh-index 354 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AR2
  • cs.CL1
  • cs.LG1
same name
  • V. Nguyen — 22 papers, h 8
  • V. Nguyen — 10 papers, h 10
  • V. Nguyen — 7 papers, h 10
  • V. Nguyen — 6 papers, h 5
  • V. Nguyen — 5 papers, h 3
  • V. Nguyen — 5 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

cs.AR2026

Crypto-RV: High-Efficiency FPGA-Based RISC-V Cryptographic Co-Processor for IoT Security

Anh Kiet Pham, Van Truong Vo, Vu Trung Duong Le +4

Cryptographic operations are critical for securing IoT, edge computing, and autonomous systems. However, current RISC-V platforms lack efficient hardware support for comprehensive…

cs.CL2025

Medalyze: Lightweight Medical Report Summarization Application Using FLAN-T5-Large

Van-Tinh Nguyen, Hoang-Duong Pham, Thanh-Hai To +4

Understanding medical texts presents significant challenges due to complex terminology and context-specific language. This paper introduces Medalyze, an AI-powered application desi…

cs.AR2025

AES-RV: Hardware-Efficient RISC-V Accelerator with Low-Latency AES Instruction Extension for IoT Security

Van Tinh Nguyen, Phuc Hung Pham, Vu Trung Duong Le +3

The Advanced Encryption Standard (AES) is a widely adopted cryptographic algorithm essential for securing embedded systems and IoT platforms. However, existing AES hardware acceler…

cs.LG2024

Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation

Van Duy Tran, Tran Xuan Hieu Le, Thi Diem Tran +5

Kolmogorov-Arnold Networks (KANs), a novel type of neural network, have recently gained popularity and attention due to the ability to substitute multi-layer perceptions (MLPs) in…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.