文渊博，中国科学院计算技术研究所副研究员、硕导。长期从事智能处理器体系结构和系统软件相关研究，深度参与多款国产智能处理器的系统软件研发工作，在ASPLOS、MICRO、ICML、NeurIPS等顶级会议和期刊上发表论文10余篇。曾获2024年度“CCF体系结构博士学位论文激励计划”。

2024年10月 — 今：中科院计算所，副研究员

2022年7月 — 2024年10月：中科院计算所，助理研究员

2017年9月 — 2022年7月：中国科学技术大学，计算机学院，博士生

2013年9月 — 2017年7月：中国科学技术大学，少年班学院，本科生

会议文章：

[1] Qirui Zhou, Yuanbo Wen, Ruizhi Chen, Ke Gao, Weiqiang Xiong, Ling Li, Qi Guo, Yanjun Wu, Yunji Chen. QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models. In: Proceedings of the Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF-A)

[2] Huilai Chen, Yuanbo Wen, Limin Cheng, Shouxu Kuang, Yumeng Liu, Weijia Li, Ling Li, Rui Zhang, Xinkai Song, Wei Li, Qi Guo, Yunji Chen. AutoOS: Make Your OS More Powerful by Exploiting Large Language Models. In: Proceedings of the International Conference on Machine Learning (ICML), 2024. (CCF-A)

[3] 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. TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing. In: Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024. (CCF-A)

[4] 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. Cambricon-C: Efficient 4-bit Matrix Unit via Primitivization. In:  Proceedings of the Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2024. (CCF-A)

[5] 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. Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. In: Proceedings of the Annual International Symposium on Computer Architecture (ISCA), 2024. (CCF-A)

[6] Shuyao Cheng, Chongxiao Li, Zidong Du, Rui Zhang, Xing Hu, Xiaqing Li, Guanglin Xu, Yuanbo Wen, Qi Guo. Revisiting Automatic Pipelining: Gate-level Forwarding and Speculation. In: Proceedings of the Design Automation Conference (DAC), 2024. (CCF-A)

[7] Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, QiCheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen. Prompt-based Visual Alignment for Zero-shot Policy Transfer. In: Proceedings of the International Conference on Machine Learning (ICML), 2024. (CCF-A)

[8] Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen. Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. In: Proceedings of the Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023. (CCF-A)

[9] Jun Bi, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen. Heron: Automatically constrained high-performance library generation for deep learning accelerators. In: Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023. (CCF-A)

[10] 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. BabelTower: Learning to Auto-parallelized Program Translation. In: Proceedings of the International Conference on Machine Learning (ICML), 2022. (CCF-A)

期刊文章:

[1] Jun Bi, Yuanbo Wen, Xiaqing Li, Yongwei Zhao, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen, Qi Guo. Efficient and Fast High-performance Library Generation for Deep Learning Accelerators. IEEE Transactions on Computers (IEEE TC), 2024. (CCF-A)

[2] 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. Harmonia: A Unified Architecture for Efficient Deep Symbolic Regression. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2024. (CCF-A)

[3] Xi Zeng, Tian Zhi, Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Bingrui Wang, Yuanbo Wen, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Ninghui Sun, Yunji Chen. Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach. IEEE Transactions on Computers (IEEE TC), 2022. (CCF-A)

[4] Yuanbo Wen, Qi Guo, Zidong Du, Jianxing Xu, Zhenxing Zhang, Xing Hu, Wei Li, Rui Zhang, Chao Wang, Xuehai Zhou, Tianshi Chen. Enabling One size-fits-all Compilation Optimization across Machine Learning Computers for Inference. IEEE Transactions on Computers (IEEE TC), 2021. (CCF-A)

[1] 国家自然科学基金青年科学基金项目：面向智能芯片的程序自动并行化研究，项目负责人