| Deepgate: Learning neural representations of logic gates M Li, S Khan, Z Shi, N Wang, H Yu, Q Xu Proceedings of the 59th ACM/IEEE Design Automation Conference, 667-672, 2022 | 43 | 2022 |
| Large circuit models: opportunities and challenges L Chen, Y Chen, Z Chu, W Fang, TY Ho, R Huang, Y Huang, S Khan, M Li, ... Science China Information Sciences 67 (10), 200402, 2024 | 36* | 2024 |
| DeepGate2: Functionality-Aware Circuit Representation Learning Z Shi, H Pan, K Sadaf, M Li, Y Liu, J Huang, HL Zhen, M Yuan, Z Chu, ... 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023 | 31 | 2023 |
| Satformer: transformer-based unsat core learning Z Shi, M Li, Y Liu, S Khan, J Huang, HL Zhen, M Yuan, Q Xu 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-4, 2023 | 17* | 2023 |
| Deeptpi: Test point insertion with deep reinforcement learning Z Shi, M Li, S Khan, L Wang, N Wang, Y Huang, Q Xu 2022 IEEE International Test Conference (ITC), 194-203, 2022 | 15 | 2022 |
| On eda-driven learning for sat solving M Li, Z Shi, Q Lai, S Khan, S Cai, Q Xu 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 14* | 2023 |
| Deepseq: Deep sequential circuit learning S Khan, Z Shi, M Li, Q Xu 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-2, 2024 | 11 | 2024 |
| Deepsat: An eda-driven learning framework for sat M Li, Z Shi, Q Lai, S Khan, S Cai, Q Xu arXiv preprint arXiv:2205.13745, 2022 | 11 | 2022 |
| Design space exploration of galois and fibonacci configuration based on espresso stream cipher Z Shi, C Chen, G Yang, H Xiong, F Li, H Hu, Z Wan ACM Transactions on Reconfigurable Technology and Systems 16 (3), 1-24, 2023 | 9 | 2023 |
| Deepgate3: Towards scalable circuit representation learning Z Shi, Z Zheng, S Khan, J Zhong, M Li, Q Xu arXiv preprint arXiv:2407.11095, 2024 | 7 | 2024 |
| Hardware optimizations of fruit-80 stream cipher: Smaller than grain G Yang, Z Shi, C Chen, H Xiong, F Li, H Hu, Z Wan ACM Transactions on Reconfigurable Technology and Systems 16 (2), 1-32, 2023 | 5 | 2023 |
| Eda-driven preprocessing for sat solving Z Shi, T Tang, S Khan, HL Zhen, M Yuan, Z Chu, Q Xu arXiv preprint arXiv:2403.19446, 2024 | 3 | 2024 |
| Customized FPGA implementation of authenticated lightweight cipher fountain for IoT systems Z Shi, C Chen, G Yang, H Zhou, H Xiong, Z Wan ACM Transactions on Embedded Computing Systems 24 (2), 1-26, 2025 | 2 | 2025 |
| Addressing variable dependency in gnn-based SAT solving Z Yan, M Li, Z Shi, W Zhang, Y Chen, H Zhang arXiv preprint arXiv:2304.08738, 2023 | 2 | 2023 |
| Work-in-progress: Towards a smaller than grain stream cipher: optimized fpga implementations of fruit-80 G Yang, Z Shi, C Chen, H Xiong, H Hu, Z Wan, K Gai, M Qiu 2022 International Conference on Compilers, Architecture, and Synthesis for …, 2022 | 2 | 2022 |
| The elephant in the room: Variable dependency in GNN-based SAT solving Z Yan, M Li, Z Shi, W Zhang, YC Chen, H Zhang First International Workshop on Deep Learning-aided Verification, 2023 | 1 | 2023 |
| DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis Z Li, C Xu, Z Shi, Z Peng, Y Liu, Y Zhou, L Zhou, C Ma, J Zhong, X Wang, ... arXiv preprint arXiv:2502.18297, 2025 | | 2025 |
| DeepCell: Multiview Representation Learning for Post-Mapping Netlists Z Shi, C Ma, Z Zheng, L Zhou, H Pan, W Jiang, F Yang, X Yang, Z Chu, ... arXiv preprint arXiv:2502.06816, 2025 | | 2025 |
| DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Z Zheng, S Huang, J Zhong, Z Shi, G Dai, N Xu, Q Xu arXiv preprint arXiv:2502.01681, 2025 | | 2025 |
| DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations S Khan, Z Shi, Z Zheng, M Li, Q Xu Proceedings of the 30th Asia and South Pacific Design Automation Conference …, 2025 | | 2025 |
Qiang XuProfessor, The Chinese University of Hong KongPreverjeni e-poštni naslov na cse.cuhk.edu.hk
