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2020 – today
- 2024
[c8]Hongduo Liu, Peiyu Liao, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu:
Parallel Gröbner Basis Rewriting and Memory Optimization for Efficient Multiplier Verification. DATE 2024: 1-6- [i4]Tsz Ho Chan, Wenyi Xiao, Junhua Huang, Hui-Ling Zhen, Guangji Tian, Mingxuan Yuan:
IB-Net: Initial Branch Network for Variable Decision in Boolean Satisfiability. CoRR abs/2403.03517 (2024) - [i3]Ruiyang Ma, Yuxin Yang, Ziqian Liu, Jiaxi Zhang, Min Li, Junhua Huang, Guojie Luo:
VerilogReader: LLM-Aided Hardware Test Generation. CoRR abs/2406.04373 (2024) - 2023
- [c7]Zhengyuan Shi, Min Li, Yi Liu, Sadaf Khan, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu:
SATformer: Transformer-Based UNSAT Core Learning. ICCAD 2023: 1-4 - [c6]Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu:
DeepGate2: Functionality-Aware Circuit Representation Learning. ICCAD 2023: 1-9 - [c5]Yang Li
, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan:
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. KDD 2023: 4414-4425 - [i2]Hui-Ling Zhen, Naixing Wang, Junhua Huang, Xinyue Huang, Mingxuan Yuan, Yu Huang:
Conflict-driven Structural Learning Towards Higher Coverage Rate in ATPG. CoRR abs/2303.02290 (2023) - [i1]Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu:
DeepGate2: Functionality-Aware Circuit Representation Learning. CoRR abs/2305.16373 (2023) - 2022
- [c4]Junhua Huang, Hui-Ling Zhen, Naixing Wang, Mingxuan Yuan, Hui Mao, Yu Huang, Jiping Tao:
Accelerate SAT-based ATPG via Preprocessing and New Conflict Management Heuristics. ASP-DAC 2022: 365-370 - [c3]Junhua Huang, Hui-Ling Zhen, Naixing Wang, Hui Mao, Mingxuan Yuan, Yu Huang:
Neural Fault Analysis for SAT-based ATPG. ITC 2022: 36-45 - 2021
- [c2]Liang Chen, Kunpeng Zheng, Yang Li, Xuelian Yang, Han Zhang, Yangyang Liang, Junhua Huang, Yuan Zhang, Pengfei Xie, Yongli Zhao:
Data Augmentation Algorithm Based on Generative Antagonism Networks (GAN) Model for Optical Transmission Networks (OTN). CECNet 2021: 603-611 - [c1]Junhua Huang, Bohan Zhu, Hongxi Zhou, Qiwei Zheng, Zhuo Chen, Tong Lin, Yuanyuan Zhao, Ziqi Dong, Xiaofang Gao, Yongli Zhao:
OSNR Prediction Based on Federal Learning in Multi-Domain Optical Networks. CECNet 2021: 612-620
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