Yongwei Zhao

According to our database, Yongwei Zhao authored at least 36 papers between 2019 and 2026.

Collaborative distances:

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

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

DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Shaohui Peng, Yongwei Zhao, Ling Li

CoRR, March, 2026

Cambricon-CIM: Enabling Energy-Efficient and Error-Resilient Analog CIM Acceleration via Reformation of Coding Bases.

Hongrui Guo, Tianrui Ma, Zidong Du, Mo Zou, Yifan Hao, Yongwei Zhao, Rui Zhang, Wei Li, Xing Hu, Zhiwei Xu, Qi Guo, Tianshi Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

Hardwired-Neuron Language Processing Units as General-Purpose Cognitive Substrates.

Yang Liu, Yi Chen, Yongwei Zhao, Yifan Hao, Zifu Zheng, Weihao Kong, Zhangmai Li, Dongchen Jiang, Ruiyang Xia, Zhihong Ma, Zisheng Liu, Zhaoyong Wan, Yunqi Lu, Ximing Liu, Hongrui Guo, Zhihao Yang, Zhe Wang, Tianrui Ma, Mo Zou, Rui Zhang, Ling Li, Xing Hu, Zidong Du, Zhiwei Xu, Qi Guo, Tianshi Chen, Yunji Chen

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

VariPar: Variation-Aware Workload Partitioning in Chiplet-Based DNN Accelerators.

Ximing Liu, Yongwei Zhao, Mo Zou, Yang Liu, Yifan Hao, Xiaqing Li, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Tianshi Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 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

Hardwired-Neurons Language Processing Units as General-Purpose Cognitive Substrates.

Yang Liu, Yi Chen, Yongwei Zhao, Yifan Hao, Zifu Zheng, Weihao Kong, Zhangmai Li, Dongchen Jiang, Ruiyang Xia, Zhihong Ma, Zisheng Liu, Zhaoyong Wan, Yunqi Lu, Ximing Liu, Hongrui Guo, Zhihao Yang, Zhe Wang, Tianrui Ma, Mo Zou, Rui Zhang, Ling Li, Xing Hu, Zidong Du, Zhiwei Xu, Qi Guo, Tianshi Chen, Yunji Chen

CoRR, August, 2025

QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm.

Qirui Zhou, Shaohui Peng, Weiqiang Xiong, Haixin Chen, Yuanbo Wen, Haochen Li, Ling Li, Qi Guo, Yongwei Zhao, Ke Gao, Ruizhi Chen, Yanjun Wu, Chen Zhao, Yunji Chen

CoRR, June, 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

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

Efficient and Fast High-Performance Library Generation for Deep Learning Accelerators.

Jun Bi, Yuanbo Wen, Xiaqing Li, Yongwei Zhao, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen, Qi Guo

IEEE Trans. Computers, January, 2025

SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Shaohui Peng, Yongwei Zhao, Chen Zhao, Yanjun Wu, Ling Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm.

Qirui Zhou, Shaohui Peng, Weiqiang Xiong, Haixin Chen, Yuanbo Wen, Haochen Li, Ling Li, Qi Guo, Yongwei Zhao, Ke Gao, Ruizhi Chen, Yanjun Wu, Zhao Chen, Yunji Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Mentor: A Memory-Efficient Sparse-dense Matrix Multiplication Accelerator Based on Column-Wise Product.

Xiaobo Lu, Jianbin Fang, Lin Peng, Chun Huang, Zidong Du, Yongwei Zhao, Zheng Wang

ACM Trans. Archit. Code Optim., December, 2024

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.

Husheng Han, Xing Hu, Yifan Hao, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Wang, Xishan Zhang, Tianshi Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 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

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Yunji Chen, Ling Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM.

Zhongkai Yu, Shengwen Liang, Tianyun Ma, Yunke Cai, Ziyuan Nan, Di Huang, Xinkai Song, Yifan Hao, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu, Qi Guo, Tianshi Chen

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-M: A Fibonacci-Coded Charge-Domain SRAM-Based CIM Accelerator for DNN Inference.

Hongrui Guo, Mo Zou, Yifan Hao, Zidong Du, Erxiang Ren, Yang Liu, Yongwei Zhao, Tianrui Ma, Rui Zhang, Xing Hu, Fei Qiao, Zhiwei Xu, Qi Guo, Tianshi Chen

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-C: Efficient 4-Bit Matrix Unit via Primitivization.

Yi Chen, Yongwei Zhao, Yifan Hao, Yuanbo Wen, Yuntao Dai, Xiaqing Li, Yang Liu, Rui Zhang, Mo Zou, Xinkai Song, Xing Hu, Zidong Du, Huaping Chen, Qi Guo, Tianshi Chen

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 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

2023

Rescue to the Curse of universality.

Yongwei Zhao, Zidong Du, Qi Guo, Zhiwei Xu, Yunji Chen

Sci. China Inf. Sci., September, 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

Learning Domain-Aware Detection Head with Prompt Tuning.

Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen

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

Emergent Communication for Rules Reasoning.

Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

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

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing.

Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators.

Jun Bi, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System.

Zidong Du, Qi Guo, Yongwei Zhao, Xi Zeng, Ling Li, Limin Cheng, Zhiwei Xu, Ninghui Sun, Yunji Chen

IEEE Trans. Computers, 2022

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.

Husheng Han, Xing Hu, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Yang, Tianshi Chen

CoRR, 2022

Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing.

Yifan Hao, Yongwei Zhao, Chenxiao Liu, Zidong Du, Shuyao Cheng, Xiaqing Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

BabelTower: Learning to Auto-parallelized Program Translation.

Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen

Proceedings of the International Conference on Machine Learning, 2022

2021

Cambricon-Q: A Hybrid Architecture for Efficient Training.

Yongwei Zhao, Chang Liu, Zidong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xishan Zhang, Ling Li, Zhiwei Xu, Tianshi Chen

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020

Machine Learning Computers With Fractal von Neumann Architecture.

Yongwei Zhao, Zhe Fan, Zidong Du, Tian Zhi, Ling Li, Qi Guo, Shaoli Liu, Zhiwei Xu, Tianshi Chen, Yunji Chen

IEEE Trans. Computers, 2020

Self-Aware Neural Network Systems: A Survey and New Perspective.

Zidong Du, Qi Guo, Yongwei Zhao, Tian Zhi, Yunji Chen, Zhiwei Xu

Proc. IEEE, 2020

2019

Cambricon-F: machine learning computers with fractal von neumann architecture.

Yongwei Zhao, Zidong Du, Qi Guo, Shaoli Liu, Ling Li, Zhiwei Xu, Tianshi Chen, Yunji Chen

Proceedings of the 46th International Symposium on Computer Architecture, 2019