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Journal Articles
- 2023
[j2]Gangqiang Yang
, Zhengyuan Shi, Cheng Chen, Hailiang Xiong, Fudong Li, Honggang Hu, Zhiguo Wan:
Hardware Optimizations of Fruit-80 Stream Cipher: Smaller than Grain. ACM Trans. Reconfigurable Technol. Syst. 16(2): 22:1-22:32 (2023)- [j1]Zhengyuan Shi, Cheng Chen, Gangqiang Yang, Hailiang Xiong, Fudong Li, Honggang Hu, Zhiguo Wan:
Design Space Exploration of Galois and Fibonacci Configuration Based on Espresso Stream Cipher. ACM Trans. Reconfigurable Technol. Syst. 16(3): 43:1-43:24 (2023)
Conference and Workshop Papers
- 2024
- [c10]Sadaf Khan, Zhengyuan Shi, Min Li, Qiang Xu:
DeepSeq: Deep Sequential Circuit Learning. DATE 2024: 1-2 - [c9]Zhiyuan Yan, Min Li, Zhengyuan Shi, Wenjie Zhang, Yingcong Chen, Hongce Zhang:
AsymSAT: Accelerating SAT Solving with Asymmetric Graph-Based Model Prediction. DATE 2024: 1-2 - 2023
- [c8]Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Shaowei Cai, Qiang Xu:
On EDA-Driven Learning for SAT Solving. DAC 2023: 1-6 - [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 - 2022
- [c5]Gangqiang Yang, Zhengyuan Shi, Cheng Chen, Hailiang Xiong, Honggang Hu, Zhiguo Wan, Keke Gai, Meikang Qiu:
Work-in-Progress: Towards a Smaller than Grain Stream Cipher: Optimized FPGA Implementations of Fruit-80. CASES 2022: 19-20 - [c4]Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Huang Yu, Qiang Xu:
DeepGate: learning neural representations of logic gates. DAC 2022: 667-672 - [c3]Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu:
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. ITC 2022: 194-203 - 2021
- [c2]Min Li, Zhengyuan Shi, Zezhong Wang, Weiwei Zhang, Yu Huang, Qiang Xu:
Testability-Aware Low Power Controller Design with Evolutionary Learning. ITC 2021: 324-328 - 2019
- [c1]Zhengyuan Shi, Pengwei Wang:
From Courses to Contests: A Full Levels Project-driven Innovative Education Curriculum Struct. ICDTE 2019: 62-67
Informal and Other Publications
- 2024
- [i12]Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou:
The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models. CoRR abs/2403.07257 (2024) - [i11]Zhengyuan Shi, Tiebing Tang, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu:
EDA-Driven Preprocessing for SAT Solving. CoRR abs/2403.19446 (2024) - [i10]Zhengyuan Shi, Ziyang Zheng, Sadaf Khan, Jianyuan Zhong, Min Li, Qiang Xu:
DeepGate3: Towards Scalable Circuit Representation Learning. CoRR abs/2407.11095 (2024) - 2023
- [i9]Sadaf Khan, Zhengyuan Shi, Min Li, Qiang Xu:
DeepSeq: Deep Sequential Circuit Learning. CoRR abs/2302.13608 (2023) - [i8]Zhiyuan Yan, Min Li, Zhengyuan Shi, Wenjie Zhang, Yingcong Chen, Hongce Zhang:
Addressing Variable Dependency in GNN-based SAT Solving. CoRR abs/2304.08738 (2023) - [i7]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
- [i6]Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Qiang Xu:
DeepSAT: An EDA-Driven Learning Framework for SAT. CoRR abs/2205.13745 (2022) - [i5]Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu:
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. CoRR abs/2206.06975 (2022) - [i4]Zhengyuan Shi, Min Li, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu:
SATformer: Transformers for SAT Solving. CoRR abs/2209.00953 (2022) - 2021
- [i3]Min Li, Zhengyuan Shi, Zezhong Wang, Weiwei Zhang, Yu Huang, Qiang Xu:
Testability-Aware Low Power Controller Design with Evolutionary Learning. CoRR abs/2111.13332 (2021) - [i2]Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Yu Huang, Qiang Xu:
Representation Learning of Logic Circuits. CoRR abs/2111.14616 (2021) - [i1]Zhengyuan Shi, Gangqiang Yang, Hailiang Xiong, Fudong Li, Honggang Hu:
Design Space Exploration of Galois and Fibonacci Configuration based on Espresso Stream Cipher. IACR Cryptol. ePrint Arch. 2021: 275 (2021)
Coauthor Index
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