文渊博，中国科学院计算技术研究所副研究员、硕士生导师。研究方向为智能处理器系统软件和计算机系统自动设计，深度参与多款深度学习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30余篇。曾获2026年北京市“高创计划·青年人才托举工程“，2025年世界互联网领先科技奖，获2024年“CCF体系结构博士学位论文激励计划”。

2024年10月 — 今：中国科学院计算技术研究所，副研究员

2022年7月 — 2024年10月：中国科学院计算技术研究所，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] Huilai Chen, Yuanbo Wen, Liangfeng Li, Shaohui Peng, Jingzhe Zhu, Jun Bi, Xuzhi Zhang, Qi Guo, Ling Li, Yunji Chen. QiMeng-PerceptOS: Semantic-Aware Kernel Optimization for OS-Intensive Workloads via Hardware-Software Alignment. International Conference on Machine Learning (ICML), 2026.(CCF-A)

[2] Hainan Fang, Yuanbo Wen, Jun Bi, Yihan Wang, Tonghui He, Yanlin Tang, Di Huang, Jiaming Guo, Rui Zhang, Qi Guo, Yunji Chen. QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code. Advances in Neural Information Processing Systems (NeurIPS), 2025.(CCF-A) 

[3] Shouyang Dong, Yuanbo Wen, Jun Bi, Di Huang, Jiaming Guo, Jianxing Xu, Ruibai Xu, Xinkai Song, Yifan Hao, Ling Li, Xuehai Zhou, Qi Guo. QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach. USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2025.(CCF-A)

[4] Jianxing Xu, Yuanbo Wen, Zikang Liu, Ruibai Xu, Tingfeng Ruan, Jun Bi, Rui Zhang, Di Huang, Xinkai Song, Yifan Hao, Qi Guo. Mosaic: Exploiting Instruction-Level Parallelism on Deep Learning Accelerators with iTex Tessellation. ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2025.(CCF-A)

[5] 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. AAAI Conference on Artificial Intelligence (AAAI), 2025.(CCF-A) 

[6] Xuzhi Zhang, Shaohui Peng, Qirui Zhou, Yuanbo Wen, Qi Guo, Ruizhi Chen, Xinguo Zhu, Weiqiang Xiong, Haixin Chen, Congying Ma, Ke Gao, Chen Zhao, Yanjun Wu, Yunji Chen, Ling Li. QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives. International Joint Conference on Artificial Intelligence (IJCAI), 2025.(CCF-A) 

[7] Qirui Zhou, Shaohui Peng, Weiqiang Xiong, Haixin Chen, Yuanbo Wen, Haochen Li, Ling Li, Qi Guo, Yongwei Zhao, et al. QiMeng-Attention: SOTA Attention Operator is Generated by SOTA Attention Algorithm. Findings of the Association for Computational Linguistics (ACL Findings), 2025.

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

[9] Jun Bi, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, et al. Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators. ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023.(CCF-A)

[10] Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, et al. Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023.(CCF-A)

[11] Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen. BALTO: Fast Tensor Program Optimization with Diversity-Based Active Learning. International Conference on Learning Representations (ICLR), 2022.(CCF-A)

[12] 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. International Conference on Machine Learning (ICML), 2022.(CCF-A)

期刊文章:

[1] Xiyue Yu, Jun Bi, Yuanbo Wen, Jianxing Xu, Di Huang, Jiaming Guo, Wei Li, Zidong Du, Jing Li, Tianshi Chen, Qi Guo. Swift: High Parallelism Program Generation of Tensor Operators for Accelerating Deep Learning Inference. ACM Transactions on Architecture and Code Optimization (ACM TACO), 2025.(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), 2025.(CCF-A)

[3] Zhenxing Zhang, Yuanbo Wen, Han-Qi Lyu, Chang Liu, Rui Zhang, Xia-Qing Li, Chao Wang, Zidong Du, Qi Guo, Ling Li, Xue-Hai Zhou, Yunji Chen. AI Computing Systems for Large Language Models Training. Journal of Computer Science and Technology (JCST), 2025.(CCF-B)

[4] 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), 2025.(CCF-A)

[5] 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), 2022.(CCF-A)

[6] 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), 2020.(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

[2] 国家重点研发计划子课题和数项企业委托项目