2 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
When Is RTL Better? Auditing Evaluation Stability with Tool-Grounded Requirement Profiles
Bodong Hou, Zhixin Pan
RTL-generation studies increasingly report functional correctness and post-synthesis quality, yet the evaluator itself is rarely treated as an experimental variable. A candidate ca…
Hardware-Assisted Multi-Stage Ransomware Detection with Adaptive Machine Learning
Salma Aboelmagd, Md. Rakibul Ahasan, Zhixin Pan +2
Ransomware is a fast-escalating privacy threat causing significant financial and data losses worldwide. As attacks grow more sophisticated, traditional static signatures and dynami…
LatentIndex: Cross-Layer Sharing with Layer-Specific Selection for Sparse Attention
Zhaohui Wang, Zhixin Pan, Fanxu Meng +1
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 re…
CARB: A Characterization-Guided Framework for CNN Inference Cost Prediction and Deployment Screening
Linh Nguyen, Zhixin Pan
Accurate pre-deployment estimation of CNN inference cost--energy, latency, and peak memory--is increasingly critical as models are deployed on resource-constrained GPU platforms. E…
HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention
Yufei Xu, Fanxu Meng, Fan Jiang +11
Token-level sparse attention mechanisms, exemplified by DeepSeek Sparse Attention (DSA), achieve fine-grained key selection by scoring every historical key for each query through a…