Institution profile

University of Ulsan

Academic institutionasia · kr
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Research library8linked papers
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Selected work

Representative Papers

Uni-SFU: Algorithm-HW Co-Design for Universal SFUs via Mixed-Degree Piecewise Approximation

Aug 11, 2026

This work addresses the challenge of balancing computational efficiency, area overhead, and numerical accuracy in hardware implementations of activation functions. The authors propose a novel algorithm-hardware co-design framework that introduces, for the first time, a cross-activation mixed-order, non-uniform piecewise polynomial approximation strategy. This approach is jointly optimized with an RTL-level area cost model to achieve high accuracy and hardware reuse under a unified configuration. Experimental results demonstrate that the proposed design attains a mean squared error below 8.22×10⁻⁸ and incurs no more than a 1.02% Top-1 accuracy loss across over 700 neural network variants and three NLP models. Implemented in 22 nm technology, the hardware footprint is only 6,800 μm².

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Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics Architecture

Jun 08, 2026

Current large language model (LLM)-generated clinical research manuscripts commonly suffer from fabricated citations, data drift, and omissions of reporting guidelines, yet existing tools lack effective validation mechanisms. This work proposes an integrated generation-and-verification architecture that decomposes the writing process into 43 skill modules—including 21 deterministic detectors—orchestrated by a unified coordinator. It introduces a “maximally deterministic” completeness gating mechanism to enforce structured, traceable audits and re-execution checks at each stage. Evaluated on the STARD, PRISMA, and STROBE benchmark datasets, the approach successfully identified all 27 injected defects with zero false positives, substantially outperforming general-purpose LLM-based review methods.

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Recent publications

Latest Papers

Uni-SFU: Algorithm-HW Co-Design for Universal SFUs via Mixed-Degree Piecewise Approximation

Aug 11, 2026

This work addresses the challenge of balancing computational efficiency, area overhead, and numerical accuracy in hardware implementations of activation functions. The authors propose a novel algorithm-hardware co-design framework that introduces, for the first time, a cross-activation mixed-order, non-uniform piecewise polynomial approximation strategy. This approach is jointly optimized with an RTL-level area cost model to achieve high accuracy and hardware reuse under a unified configuration. Experimental results demonstrate that the proposed design attains a mean squared error below 8.22×10⁻⁸ and incurs no more than a 1.02% Top-1 accuracy loss across over 700 neural network variants and three NLP models. Implemented in 22 nm technology, the hardware footprint is only 6,800 μm².

0 citationsRead paper

Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics Architecture

Jun 08, 2026

Current large language model (LLM)-generated clinical research manuscripts commonly suffer from fabricated citations, data drift, and omissions of reporting guidelines, yet existing tools lack effective validation mechanisms. This work proposes an integrated generation-and-verification architecture that decomposes the writing process into 43 skill modules—including 21 deterministic detectors—orchestrated by a unified coordinator. It introduces a “maximally deterministic” completeness gating mechanism to enforce structured, traceable audits and re-execution checks at each stage. Evaluated on the STARD, PRISMA, and STROBE benchmark datasets, the approach successfully identified all 27 injected defects with zero false positives, substantially outperforming general-purpose LLM-based review methods.

0 citationsRead paper