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Zhixin Pan

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Preprint Oct 2026

When Is RTL Better? Auditing Evaluation Stability with Tool-Grounded Requirement Profiles

RTL-generation studies increasingly report functional correctness and post-synthesis quality, yet the evaluator itself is rarely treated as an experimental variable. A candidate can appear better when a security rule, protocol obligation, target context, feasibility gate, uncertainty policy, or provenance constraint is...

Bo-Dong Hou, Zhi-Xin Pan · 0 citations
#artificial intelligence Preprint Oct 2026

Hardware-Assisted Multi-Stage Ransomware Detection with Adaptive Machine Learning

This paper proposes an novel framework that couples software-level scanning with hardware-level microprocessor activity monitoring to achieve efficient ransomware detection and mitigation and provides trace-level interpretability that explains the underlying decision process.

Salma Aboelmagd, Md Rakibul Ahasan, Zhi-Xin Pan et al. · 0 citations
#artificial intelligence Preprint Oct 2026

LatentIndex: Cross-Layer Sharing with Layer-Specific Selection for Sparse Attention

Sparse attention reduces core-attention computation, but its indexers still incur repeated selection work and per-layer key-cache storage. Reusing selected indices across layers reduces this overhead but constrains multiple layers to the same token set. We introduce LatentIndex, which extends the latent-sharing princip...

Zhao-Hui Wang, Zhi-Xin Pan, Fan-Xu Meng et al. · 0 citations
Open access Aug 2026

PolyCLIP: A CLIP-Based Multimodal Framework for Polymer Property Prediction

Polymers are fundamental to modern materials science because their backbone chemistry, monomer composition, and chain architecture can be systematically tuned to achieve a virtually unlimited range of mechanical, thermal, electronic, and optical properties. To accelerate the discovery and design of polymeric material...

Amberbir Alemayoh, Zhi-Xin Pan, Ning Wang · 0 citations
Preprint Aug 2026

CARB: A Characterization-Guided Framework for CNN Inference Cost Prediction and Deployment Screening

A workload characterization study of 13 419 CNN configurations on two GPU platforms under GPU telemetry reveals that energy, latency, and memory exhibit fundamentally distinct scaling behaviors: energy and latency diverge by 3x under high computational demand, and cross-GPU transferability differs by target.

Linh Nguyen, Zhixin Pan · 0 citations

HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention

This work proposes HISA (Hierarchical Indexed Sparse Attention), a plug-and-play replacement for the indexer that rewrites the search path from a flat token scan into a two-stage hierarchical procedure: a block-level coarse filtering stage that scores pooled block representations to discard irrelevant regions, followed...

Yufei Xu, Fan-Xu Meng, Fan Jiang et al. · 10 citations · ⚡1

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