Mohammad Akyash

Orcid: 0000-0001-5187-1269

According to our database1, Mohammad Akyash authored at least 16 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MeltRTL: Multi-Expert LLMs with Inference-time Intervention for RTL Code Generation.
CoRR, January, 2026

2025
RTL++: Graph-enhanced LLM for RTL Code Generation.
CoRR, May, 2025

StepGrade: Grading Programming Assignments with Context-Aware LLMs.
CoRR, March, 2025

LLM-IFT: LLM-Powered Information Flow Tracking for Secure Hardware.
Proceedings of the 43rd IEEE VLSI Test Symposium, 2025

CircuitGuard: Mitigating LLM Memorization in RTL Code Generation Against IP Leakage.
Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

SAGE-HLS: Syntax-Aware AST-Guided LLM for High-Level Synthesis Code Generation.
Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

DecoRTL: A Run-Time Decoding Framework for RTL Code Generation with LLMs.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

TimelyHLS: LLM-Based Timing-Aware and Architecture-Specific FPGA HLS Optimization.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025

SimEval: Investigating the Similarity Obstacle in LLM-based Hardware Code Generation.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024
Self-HWDebug: Automation of LLM Self-Instructing for Hardware Security Verification.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Evolutionary Large Language Models for Hardware Security: A Comparative Survey.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023
Multi-Context Dual Hyper-Prior Neural Image Compression.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Trading-Off Mutual Information on Feature Aggregation for Face Recognition.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Frequency Disentangled Features in Neural Image Compression.
Proceedings of the IEEE International Conference on Image Processing, 2023

AAFACE: Attribute-Aware Attentional Network for Face Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2023

2021
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification.
CoRR, 2021


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