Weimin Fu

According to our database, Weimin Fu authored at least 25 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Configuration Over Selection: Hyperparameter Sensitivity Exceeds Model Differences in Open-Source LLMs for RTL Generation.

Minghao Shao, Zeng Wang, Weimin Fu, Xiaolong Guo, Johann Knechtel, Ozgur Sinanoglu, Ramesh Karri, Muhammad Shafique

CoRR, April, 2026

From Natural Language to Silicon: The Representation Bottleneck in LLM Hardware Design.

Weimin Fu, Zeng Wang, Minghao Shao, Johann Knechtel, Ozgur Sinanoglu, Ramesh Karri, Muhammad Shafique, Xiaolong Guo

CoRR, April, 2026

HarmChip: Evaluating Hardware Security Centric LLM Safety via Jailbreak Benchmarking.

Zeng Wang, Minghao Shao, Weimin Fu, Prithwish Basu Roy, Xiaolong Guo, Ramesh Karri, Muhammad Shafique, Johann Knechtel, Ozgur Sinanoglu

CoRR, April, 2026

Synthesis-in-the-Loop Evaluation of LLMs for RTL Generation: Quality, Reliability, and Failure Modes.

Weimin Fu, Zeng Wang, Minghao Shao, Ramesh Karri, Muhammad Shafique, Johann Knechtel, Ozgur Sinanoglu, Xiaolong Guo

CoRR, March, 2026

2025

AnalogSAGE: Self-evolving Analog Design Multi-Agents with Stratified Memory and Grounded Experience.

Zining Wang, Jian Gao, Weimin Fu, Xiaolong Guo, Xuan Zhang

CoRR, December, 2025

A Generalize Hardware Debugging Approach for Large Language Models Semi-Synthetic, Datasets.

Weimin Fu, Shijie Li, Yifang Zhao, Kaichen Yang, Xuan Zhang, Yier Jin, Xiaolong Guo

IEEE Trans. Circuits Syst. I Regul. Pap., February, 2025

FusionESP: Improved Enzyme-Substrate Pair Prediction by Fusing Protein and Chemical Knowledge.

Zhenjiao Du, Weimin Fu, Xiaolong Guo, Doina Caragea, Yonghui Li

J. Chem. Inf. Model., 2025

HADA: Leveraging Multi-Source Data to Train Large Language Models for Hardware Security Assertion Generation.

Weimin Fu, Yiting Wang, Zelin Lu, Xiaolong Guo, Gang Qu

Proceedings of the 7th ACM/IEEE Symposium on Machine Learning for CAD, 2025

Enhancing LLM Performance on Hardware Design Generation Task via Reinforcement Learning.

Yifang Zhao, Weimin Fu, Shijie Li, Yixiang Hu, Xiaolong Guo, Yier Jin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Building Reasoning LLMs for Hardware Design Generation via Function-Aligned Differentiated Revision.

Weimin Fu, Shijie Li, Kaichen Yang, Xuan Silvia Zhang, Yier Jin, Xiaolong Guo

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Intelligence In The Fence: Construct A Privacy and Reliable Hardware Design Assistant LLM.

Shijie Li, Weimin Fu, Yifang Zhao, Xiaolong Guo, Yier Jin

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

HWFixBench: Benchmarking Tools for Hardware Understanding and Fault Repair.

Weimin Fu, Shijie Li, Yier Jin, Xiaolong Guo

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

Hardware Generation with High Flexibility using Reinforcement Learning Enhanced LLMs.

Yifang Zhao, Weimin Fu, Shijie Li, Yixiang Hu, Xiaolong Guo, Yier Jin

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

EVA: An Efficient and Versatile Generative Engine for Targeted Discovery of Novel Analog Circuits.

Jian Gao, Weimin Fu, Xiaolong Guo, Weidong Cao, Xuan Zhang

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

Leveraging Large Language Models for Secure Hardware Verification and Analysis.

Yifang Zhao, Weimin Fu, Yixiang Hu, Shijie Li, Xiaolong Guo, Yier Jin

Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2025

Fixbench-RTL: A Comprehensive Benchmark for Evaluating LLMs on RTL Debugging.

Shijie Li, Weimin Fu, Yifang Zhao, Xiaolong Guo, Yier Jin

Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2025

Rethinking LLM Safety on Edge Devices: Unearthing Hidden Vulnerabilities through Power Stress.

Weimin Fu, Zelin Lu, Gang Qu, Xiaolong Guo

Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2025

2024

Poster: Enhance Hardware Domain Specific Large Language Model with Reinforcement Learning for Resilience.

Weimin Fu, Yifang Zhao, Yier Jin, Xiaolong Guo

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge.

Weimin Fu, Shijie Li, Yifang Zhao, Haocheng Ma, Raj Gautam Dutta, Xuan Zhang, Kaichen Yang, Yier Jin, Xiaolong Guo

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

VGF: Value-Guided Fuzzing - Fuzzing Hardware as Hardware.

Ruochen Dai, Michael Lee, Patrick Hoey, Weimin Fu, Tuba Yavuz, Xiaolong Guo, Shuo Wang, Dean Sullivan, Orlando Arias

CoRR, 2023

LLM4SecHW: Leveraging Domain-Specific Large Language Model for Hardware Debugging.

Weimin Fu, Kaichen Yang, Raj Gautam Dutta, Xiaolong Guo, Gang Qu

Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2023

2022

Graph Neural Network based Hardware Trojan Detection at Intermediate Representative for SoC Platforms.

Weimin Fu, Honggang Yu, Orlando Arias, Kaichen Yang, Yier Jin, Tuba Yavuz, Xiaolong Guo

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

Inter-IP Malicious Modification Detection through Static Information Flow Tracking.

Zhaoxiang Liu, Orlando Arias, Weimin Fu, Yier Jin, Xiaolong Guo

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Fuzzing Hardware: Faith or Reality? : Invited Paper.

Weimin Fu, Orlando Arias, Yier Jin, Xiaolong Guo

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2021

2014

Inverse Estimates for Nonhomogeneous Backward Heat Problems.

Tao Min, Weimin Fu, Qiang Huang

J. Appl. Math., 2014