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Cangyuan Li
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2020 – today
- 2025
[j2]Kaiyan Chang, Wenlong Zhu, Kun Wang, Xinyang He, Nan Yang, Zhirong Chen, Dantong Jin, Cangyuan Li, Yunhao Zhou, Hao Yan, Zhuoliang Zhao, Yuan Cheng, Mengdi Wang, Shengwen Liang, Yinhe Han, Xiaowei Li, Huawei Li, Ying Wang:
A data-centric chip design agent framework for Verilog code generation. ACM Trans. Design Autom. Electr. Syst. 30(6): 93:1-93:27 (2025)
[j1]Cangyuan Li, Chujie Chen, Yudong Pan, Wenjun Xu, Yiqi Liu, Kaiyan Chang, Yujie Wang, Mengdi Wang, Huawei Li, Yinhe Han, Ying Wang:
AutoSilicon: Scaling Up RTL Design Generation Capability of Large Language Models. ACM Trans. Design Autom. Electr. Syst. 30(6): 97:1-97:21 (2025)
[i6]Kaiyan Chang, Mingzhi Chen, Yunji Chen, Zhirong Chen, Dongrui Fan, Junfeng Gong, Nan Guo, Yinhe Han, Qinfen Hao, Shuo Hou, Xuanjing Huang, Pengwei Jin, Changxin Ke, Cangyuan Li, Guangli Li, Huawei Li, Kuan Li, Naipeng Li, Shengwen Liang, Cheng Liu, Hongwei Liu, Jiahua Liu, Junliang Lv, Jianan Mu, Jin Qin, Bin Sun, Chenxi Wang, Duo Wang, Mingjun Wang, Ying Wang
, Chenggang Wu, Peiyang Wu, Teng Wu, Xiao Xiao, Mengyao Xie, Chenwei Xiong, Ruiyuan Xu, Mingyu Yan, Xiaochun Ye, Kuai Yu, Rui Zhang, Shuoming Zhang, Jiacheng Zhao:
Large Processor Chip Model. CoRR abs/2506.02929 (2025)
[i5]Zhirong Chen, Kaiyan Chang, Zhuolin Li
, Xinyang He, Chujie Chen, Cangyuan Li, Mengdi Wang, Haobo Xu, Yinhe Han, Ying Wang:
ChipSeek-R1: Generating Human-Surpassing RTL with LLM via Hierarchical Reward-Driven Reinforcement Learning. CoRR abs/2507.04736 (2025)- 2024
[c4]Kaiyan Chang
, Kun Wang
, Nan Yang
, Ying Wang
, Dantong Jin
, Wenlong Zhu
, Zhirong Chen
, Cangyuan Li
, Hao Yan
, Yunhao Zhou
, Zhuoliang Zhao
, Yuan Cheng
, Yudong Pan
, Yiqi Liu
, Mengdi Wang
, Shengwen Liang
, Yinhe Han
, Huawei Li
, Xiaowei Li
:
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. DAC 2024: 60:1-60:6
[c3]Kaiyan Chang
, Zhirong Chen
, Yunhao Zhou
, Wenlong Zhu
, Kun Wang
, Haobo Xu
, Cangyuan Li
, Mengdi Wang
, Shengwen Liang
, Huawei Li
, Yinhe Han
, Ying Wang
:
Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation. ICCAD 2024: 117:1-117:9
[i4]Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang
, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li
, Xiaowei Li:
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. CoRR abs/2403.11202 (2024)
[i3]Chenyang Ai, Lechuan Zhao, Zhijie Huang, Cangyuan Li, Xinan Wang, Ying Wang
:
GTA: a new General Tensor Accelerator with Better Area Efficiency and Data Reuse. CoRR abs/2405.02196 (2024)
[i2]Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li
, Yinhe Han, Ying Wang
:
Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation. CoRR abs/2407.08473 (2024)- 2023
[c2]Cangyuan Li, Ying Wang
, Huawei Li
, Yinhe Han:
APPEND: Rethinking ASIP Synthesis in the Era of AI. DAC 2023: 1-6
[i1]Cangyuan Li:
Can We Trust Race Prediction? CoRR abs/2307.08496 (2023)- 2021
[c1]Cangyuan Li, Ying Wang, Cheng Liu, Shengwen Liang, Huawei Li, Xiaowei Li:
GLIST: Towards In-Storage Graph Learning. USENIX ATC 2021: 225-238
Coauthor Index

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last updated on 2025-11-25 00:55 CET by the dblp team
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