Cangyuan Li

According to our database, Cangyuan Li authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Wrong Code, Right Structure: Learning Netlist Representations from Imperfect LLM-Generated RTL.

Siyang Cai, Cangyuan Li, Yinhe Han, Ying Wang

CoRR, March, 2026

TriMoE: Augmenting GPU with AMX-Enabled CPU and DIMM-NDP for High-Throughput MoE Inference via Offloading.

Yudong Pan, Yintao He, Tianhua Han, Lian Liu, Shixin Zhao, Zhirong Chen, Mengdi Wang, Cangyuan Li, Yinhe Han, Ying Wang

CoRR, March, 2026

FHEx: Transforming Generic Compute Chips into Secure FHE Engines via a Hardware-software Co-designed Framework.

Yibo Du, Ying Wang, Mengdi Wang, Cangyuan Li, Lian Liu, Hui Li, Kai Zhang, Yinhe Han

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

AutoSilicon: Scaling Up RTL Design Generation Capability of Large Language Models.

Cangyuan Li, Chujie Chen, Yudong Pan, Wenjun Xu, Yiqi Liu, Kaiyan Chang, Yujie Wang, Mengdi Wang, Huawei Li, Yinhe Han, Ying Wang

ACM Trans. Design Autom. Electr. Syst., November, 2025

A data-centric chip design agent framework for Verilog code generation.

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

ACM Trans. Design Autom. Electr. Syst., November, 2025

ChipSeek-R1: Generating Human-Surpassing RTL with LLM via Hierarchical Reward-Driven Reinforcement Learning.

Zhirong Chen, Kaiyan Chang, Zhuolin Li, Xinyang He, Chujie Chen, Cangyuan Li, Mengdi Wang, Haobo Xu, Yinhe Han, Ying Wang

CoRR, July, 2025

Large Processor Chip Model.

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

CoRR, June, 2025

2024

GTA: a new General Tensor Accelerator with Better Area Efficiency and Data Reuse.

Chenyang Ai, Lechuan Zhao, Zhijie Huang, Cangyuan Li, Xinan Wang, Ying Wang

CoRR, 2024

Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation.

Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.

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

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Can We Trust Race Prediction?

Cangyuan Li

CoRR, 2023

APPEND: Rethinking ASIP Synthesis in the Era of AI.

Cangyuan Li, Ying Wang, Huawei Li, Yinhe Han

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2021

GLIST: Towards In-Storage Graph Learning.

Cangyuan Li, Ying Wang, Cheng Liu, Shengwen Liang, Huawei Li, Xiaowei Li

Proceedings of the 2021 USENIX Annual Technical Conference, 2021