Pengwei Jin

According to our database, Pengwei Jin authored at least 30 papers between 2021 and 2026.

Collaborative distances:

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

2026

DASA: Distribution-Aware Sparse Attention for Accelerating Diffusion Transformer.

Tianyun Ma, Jiaming Guo, Di Huang, Xinkai Song, Qian Wang, Husheng Han, Pengwei Jin, Xiangtao Guan, Yifan Hao, Yuanbo Wen, Shuyao Cheng, Zidong Du, Rui Zhang, Xing Hu, Qi Guo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2026

AGON: Automated Design Framework for Customizing Processors From ISA Documents.

Chongxiao Li, Di Huang, Pengwei Jin, Tianyun Ma, Husheng Han, Shuyao Cheng, Yifan Hao, Yongwei Zhao, Guanglin Xu, Zidong Du, Rui Zhang, Xiaqing Li, Yuanbo Wen, Xing Hu, Qi Guo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2026

CodeV: Empowering LLMs With HDL Generation Through Multilevel Summarization.

Yang Zhao, Di Huang, Chongxiao Li, Pengwei Jin, Muxin Song, Yinan Xu, Ziyuan Nan, Mingju Gao, Tianyun Ma, Lei Qi, Yansong Pan, Zhenxing Zhang, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Xing Hu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2026

AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learning.

Chongxiao Li, Pengwei Jin, Di Huang, Guangrun Sun, Husheng Han, Jianan Mu, Xinyao Zheng, Jiaguo Zhu, Shuyi Xing, Hanjun Wei, Tianyun Ma, Shuyao Cheng, Rui Zhang, Ying Wang, Zidong Du, Qi Guo, Xing Hu

CoRR, April, 2026

QiMeng-CodeV-SVA: Training Specialized LLMs for Hardware Assertion Generation via RTL-Grounded Bidirectional Data Synthesis.

Yutong Wu, Chenrui Cao, Pengwei Jin, Di Huang, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Xing Hu

CoRR, March, 2026

LocalV: Exploiting Information Locality for IP-level Verilog Generation.

Han-Qi Lyu, Di Huang, Yaoyu Zhu, Kangcheng Liu, Bohan Dou, Chongxiao Li, Pengwei Jin, Shuyao Cheng, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen

CoRR, February, 2026

QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression.

Lei Huang, Rui Zhang, Jiaming Guo, Yang Zhang, Di Huang, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yunji Chen, Qi Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SaaP: Rearchitect SoC-as-a-Processor to Orchestrate Hardware Heterogeneity.

Pengwei Jin, Zhe Fan, Yongwei Zhao, Zidong Du, Hongrui Guo, Ziyuan Nan, Yifan Hao, Chongxiao Li, Tianyun Ma, Zhenxing Zhang, Xiaqing Li, Wei Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2025

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs.

Pengwei Jin, Di Huang, Chongxiao Li, Shuyao Cheng, Yang Zhao, Xinyao Zheng, Jiaguo Zhu, Shuyi Xing, Bohan Dou, Rui Zhang, Zidong Du, Qi Guo, Xing Hu

CoRR, July, 2025

QiMeng: Fully Automated Hardware and Software Design for Processor Chip.

Rui Zhang, Yuanbo Wen, Shuyao Cheng, Di Huang, Shaohui Peng, Jiaming Guo, Pengwei Jin, Jiacheng Zhao, Tianrui Ma, Yaoyu Zhu, Yifan Hao, Yongwei Zhao, Shengwen Liang, Ying Wang, Xing Hu, Zidong Du, Huimin Cui, Ling Li, Qi Guo, Yunji Chen

CoRR, June, 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

CodeV-R1: Reasoning-Enhanced Verilog Generation.

Yaoyu Zhu, Di Huang, Han-Qi Lyu, Xiaoyun Zhang, Chongxiao Li, Wenxuan Shi, Yutong Wu, Jianan Mu, Jinghua Wang, Yang Zhao, Pengwei Jin, Shuyao Cheng, Shengwen Liang, Xishan Zhang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen

CoRR, May, 2025

QiMeng-CPU-v2: Automated Superscalar Processor Design by Learning Data Dependencies.

Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen

CoRR, May, 2025

Harmonia: A Unified Architecture for Efficient Deep Symbolic Regression.

Tianyun Ma, Yuanbo Wen, Xinkai Song, Pengwei Jin, Di Huang, Husheng Han, Ziyuan Nan, Zhongkai Yu, Shaohui Peng, Yongwei Zhao, Huaping Chen, Zidong Du, Xing Hu, Qi Guo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2025

Digital Twins and Cross-Border Logistics Systems Risk Management Capability: An Innovation Diffusion Perspective.

Shuyan Li, Pengwei Jin, Saier Su, Jinge Yao, Qiwei Pang

Syst., 2025

QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation.

Yaoyu Zhu, Di Huang, Han-Qi Lyu, Xiaoyun Zhang, Chongxiao Li, Wenxuan Shi, Yutong Wu, Jianan Mu, Jinghua Wang, Yang Zhao, Pengwei Jin, Shuyao Cheng, Shengwen Liang, Xishan Zhang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation.

Yang Zhang, Rui Zhang, Jiaming Guo, Lei Huang, Di Huang, Yunpu Zhao, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Automated Superscalar Processor Design by Learning Data Dependencies.

Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

AGON: Automated Design Framework for Customizing Processors from ISA Documents.

Chongxiao Li, Di Huang, Pengwei Jin, Tianyun Ma, Husheng Han, Shuyao Cheng, Yifan Hao, Yongwei Zhao, Guanglin Xu, Zidong Du, Rui Zhang, Xiaqing Li, Yuanbo Wen, Yanjun Wu, Chen Zhao, Xing Hu, Qi Guo

CoRR, 2024

CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization.

Yang Zhao, Di Huang, Chongxiao Li, Pengwei Jin, Ziyuan Nan, TianYun Ma, Lei Qi, Yansong Pan, Zhenxing Zhang, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen

CoRR, 2024

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models.

Weihao Kong, Yifan Hao, Qi Guo, Yongwei Zhao, Xinkai Song, Xiaqing Li, Mo Zou, Zidong Du, Rui Zhang, Chang Liu, Yuanbo Wen, Pengwei Jin, Xing Hu, Wei Li, Zhiwei Xu, Tianshi Chen

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Automated CPU Design by Learning from Input-Output Examples.

Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing.

Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, Tianyun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning.

Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo, Shaohui Peng, Siming Lan, Husheng Han, Yansong Pan, Kaizhao Yuan, Pengwei Jin, Ruizhi Chen, Yunji Chen, Ling Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Pushing the Limits of Machine Design: Automated CPU Design with AI.

Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Yunhao Tian, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Ling Li, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen

CoRR, 2023

ANPL: Compiling Natural Programs with Interactive Decomposition.

Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen

CoRR, 2023

ANPL: Towards Natural Programming with Interactive Decomposition.

Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Symbolic Regression with Informative Query.

Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Neural Program Synthesis with Query.

Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis.

Di Huang, Rui Zhang, Xishan Zhang, Fan Wu, Xianzhuo Wang, Pengwei Jin, Shaoli Liu, Ling Li, Yunji Chen

Int. J. Comput. Vis., 2021