| ChipGPT: How far are we from natural language hardware design K Chang, Y Wang, H Ren, M Wang, S Liang, Y Han, H Li, X Li arXiv preprint arXiv:2305.14019, 2023 | 49 | 2023 |
| Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework K Chang, K Wang, N Yang, Y Wang, D Jin, W Zhu, Z Chen, C Li, H Yan, ... 2024 Design Automation Conference (DAC), 2024 | 8 | 2024 |
| Full State Quantum Circuit Simulation Beyond Memory Limit Y Zhao, Y Chen, H Li, Y Wang, K Chang, B Wang, B Li, Y Han 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 2 | 2023 |
| ArchNet: A data hiding design for distributed machine learning systems K Chang, W Jiang, J Zhan, Z Gong, W Pan Journal of systems architecture 114, 101912, 2021 | 2 | 2021 |
| Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation K Chang, Z Chen, Y Zhou, W Zhu, H Xu, C Li, M Wang, S Liang, H Li, ... ICCAD 2024, 2024 | 1 | 2024 |
| Improving Large Language Model Hardware Generating Quality through Post-LLM Search K Chang, H Ren, M Wang, S Liang, Y Han, H Li, X Li, Y Wang 2023 NeurIPS ML for Systems Workshop, 0 | 1 | |
| PLPilot: Benchmark an Automated Programming Language Design Framework Enabled by Large Language Models K Chang, K Wang, M Wang, S Liang, Y Han, H Li, X Li, Y Wang 2023 NeurIPS ML for Systems Workshop, 0 | | |
Ying WangInstitute of Computing Technology, Chinese Academy of Sciences在 ict.ac.cn 的电子邮件经过验证
