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2020 – today
- 2025
[j3]Zhenjiao Du
, Weimin Fu, Xiaolong Guo, Doina Caragea, Yonghui Li:
FusionESP: Improved Enzyme-Substrate Pair Prediction by Fusing Protein and Chemical Knowledge. J. Chem. Inf. Model. 65(6): 2806-2817 (2025)- [j2]Weimin Fu, Shijie Li, Yifang Zhao, Kaichen Yang, Xuan Zhang, Yier Jin, Xiaolong Guo:
A Generalize Hardware Debugging Approach for Large Language Models Semi-Synthetic, Datasets. IEEE Trans. Circuits Syst. I Regul. Pap. 72(2): 623-636 (2025) - [c13]Jian Gao, Weimin Fu, Xiaolong Guo, Weidong Cao, Xuan Zhang:
EVA: An Efficient and Versatile Generative Engine for Targeted Discovery of Novel Analog Circuits. DAC 2025: 1-7 - [c12]Yifang Zhao, Weimin Fu, Shijie Li, Yixiang Hu, Xiaolong Guo, Yier Jin:
Hardware Generation with High Flexibility using Reinforcement Learning Enhanced LLMs. DAC 2025: 1-7 - [c11]Weimin Fu, Shijie Li, Yier Jin, Xiaolong Guo:
HWFixBench: Benchmarking Tools for Hardware Understanding and Fault Repair. ACM Great Lakes Symposium on VLSI 2025: 427-434 - [c10]Shijie Li, Weimin Fu, Yifang Zhao, Xiaolong Guo, Yier Jin:
Intelligence In The Fence: Construct A Privacy and Reliable Hardware Design Assistant LLM. ACM Great Lakes Symposium on VLSI 2025: 659-666 - [c9]Weimin Fu, Shijie Li, Kaichen Yang, Xuan Silvia Zhang, Yier Jin, Xiaolong Guo:
Building Reasoning LLMs for Hardware Design Generation via Function-Aligned Differentiated Revision. ICCAD 2025: 1-8 - [c8]Yifang Zhao, Weimin Fu, Shijie Li, Yixiang Hu, Xiaolong Guo, Yier Jin:
Enhancing LLM Performance on Hardware Design Generation Task via Reinforcement Learning. ISCAS 2025: 1-5 - [c7]Weimin Fu, Yiting Wang, Zelin Lu, Xiaolong Guo, Gang Qu:
HADA: Leveraging Multi-Source Data to Train Large Language Models for Hardware Security Assertion Generation. MLCAD 2025: 1-7 - [i4]Zining Wang, Jian Gao, Weimin Fu, Xiaolong Guo, Xuan Zhang:
AnalogSAGE: Self-evolving Analog Design Multi-Agents with Stratified Memory and Grounded Experience. CoRR abs/2512.22435 (2025) - 2024
- [c6]Weimin Fu, Shijie Li, Yifang Zhao, Haocheng Ma, Raj Gautam Dutta, Xuan Zhang, Kaichen Yang, Yier Jin, Xiaolong Guo:
Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge. ASPDAC 2024: 349-354 - [c5]Weimin Fu, Yifang Zhao, Yier Jin, Xiaolong Guo:
Poster: Enhance Hardware Domain Specific Large Language Model with Reinforcement Learning for Resilience. CCS 2024: 5060-5062 - [i3]Weimin Fu, Kaichen Yang, Raj Gautam Dutta, Xiaolong Guo, Gang Qu:
LLM4SecHW: Leveraging Domain Specific Large Language Model for Hardware Debugging. CoRR abs/2401.16448 (2024) - [i2]Weimin Fu, Shijie Li, Yifang Zhao, Haocheng Ma, Raj Gautam Dutta, Xuan Zhang, Kaichen Yang, Yier Jin, Xiaolong Guo:
Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge. CoRR abs/2402.01728 (2024) - 2023
- [c4]Weimin Fu, Kaichen Yang, Raj Gautam Dutta, Xiaolong Guo, Gang Qu:
LLM4SecHW: Leveraging Domain-Specific Large Language Model for Hardware Debugging. AsianHOST 2023: 1-6 - [i1]Ruochen Dai, Michael Lee, Patrick Hoey, Weimin Fu, Tuba Yavuz, Xiaolong Guo, Shuo Wang, Dean Sullivan, Orlando Arias:
VGF: Value-Guided Fuzzing - Fuzzing Hardware as Hardware. CoRR abs/2312.06580 (2023) - 2022
- [c3]Zhaoxiang Liu, Orlando Arias, Weimin Fu, Yier Jin, Xiaolong Guo:
Inter-IP Malicious Modification Detection through Static Information Flow Tracking. DATE 2022: 600-603 - [c2]Weimin Fu, Honggang Yu, Orlando Arias, Kaichen Yang, Yier Jin, Tuba Yavuz, Xiaolong Guo:
Graph Neural Network based Hardware Trojan Detection at Intermediate Representative for SoC Platforms. ACM Great Lakes Symposium on VLSI 2022: 481-486 - 2021
- [c1]Weimin Fu, Orlando Arias, Yier Jin, Xiaolong Guo:
Fuzzing Hardware: Faith or Reality? : Invited Paper. NANOARCH 2021: 1-6
2010 – 2019
- 2014
- [j1]Tao Min, Weimin Fu, Qiang Huang:
Inverse Estimates for Nonhomogeneous Backward Heat Problems. J. Appl. Math. 2014: 529618:1-529618:7 (2014)
Coauthor Index
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