会议文章:

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

[2] Yifan Hao, Yongwei Zhao, Chenxiao Liu, Shuyao Cheng, Xiaqing Li, Xing Hu, Zidong Du, Qi Guo, Zhiwei Xu, Tianshi Chen. Cambricon-P: A bitflow architecture for arbitrary precision computing. In: Proceedings of International Symposium on Microarchitecture (MICRO), 2022. (CCF-A, Best Paper Runner-Up Award)

[3] Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanling Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen. BabelTower: Learning to auto-parellelized program translation. In: Proceedings of International Conference on Machine Learning (ICML), 2022. (CCF-A)

[4] 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. Cambricon-Q: A hybrid architecture for efficient training. In: Proceedings of International Symposium on Computer Architecture (ISCA), 2021. (CCF-A)

[5] Yongwei Zhao, Zidong Du, Qi Guo, Shaoli Liu, Ling Li, Zhiwei Xu, Tianshi Chen, Yunji Chen. Cambricon-F: Machine learning computers with fractal von Neumann architecture. In: Proceedings of International Symposium on Computer Architecture (ISCA), 2019. (CCF-A)

[6] Xuda Zhou, Zidong Du, Qi Guo, Chengsi Liu, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Yunji Chen. Cambricon-S: Addressing irregularity in sparse neural networks through a cooperative software/hardware approach. In: Proceedings of International Symposium on Microarchitecture (MICRO), 2018. (CCF-A)

[7] Shijin Zhang, Zidong Du, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, and Yunji Chen. Cambricon-X: An accelerator for sparse neural networks. In: Proceedings of International Symposium on Microarchitecture (MICRO), 2016. (CCF-A)

[8] Qi Guo, Tze-Meng Low, Nikolaos Alachiotis, Berkin Akin, Larry Pileggi, James C. Hoe, and Franz Franchetti. Enabling portable energy efficiency with memory accelerated library. In: Proceedings of International Symposium on Microarchitecture (MICRO), 2015. (CCF-A)

[9] Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhi-Hua Zhou, Zhiwei Xu, and Yunji Chen. ArchRanker: A ranking approach to design space exploration. In: Proceedings of International Symposium on Computer Architecture (ISCA), 2014. (CCF-A)

[10] Qi Guo, Tianshi Chen, Yunji Chen, Zhi-Hua Zhou, Weiwu Hu, and Zhiwei Xu. Effective and efficient microprocessor design space exploration using unlabeled design configurations. In: Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2011. (CCF-A)

期刊文章：

[1] Zidong Du, Qi Guo, Yongwei Zhao, Xi Zeng, Ling Li, Limin Cheng, Zhiwei Xu, Ninghui Sun, Yunji Chen. Breaking the interaction wall: A DLPU-Centric deep learning computing system. IEEE Transactions on Computers (IEEE TC) 71(1): 209-222 (2022) (CCF-A)

[2] 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 for inference across machine learning computers. IEEE Transactions on Computers (IEEE TC) 71(9): 2313-2326 (2022) (CCF-A)

[3] Xinkai Song, Tian Zhi, Zhe Fan, Zhenxing Zhang, Xi Zeng, Wei Li, Xing Hu, Zidong Du, Qi Guo, Yunji Chen. Cambricon-G: A polyvalent energy-efficient accelerator for dynamic graph neural networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD) 41(1): 116-128 (2022) (CCF-A)

[4] Zidong Du, Qi Guo, Tian Zhi, Yongwei Zhao, Yunji Chen, and Zhiwei Xu. Self-aware Neural Network Systems: A Survey and New Perspective. Proceedings of IEEE (PIEEE) 108(7): 1047-1067 (2020) (CCF-A)

[5] Yongwei Zhao, Zhe Fan, Zidong Du, Tian Zhi, Ling Li, Qi Guo, Shaoli Liu, Zhiwei Xu, Tianshi Chen, Yunji Chen. Machine learning computers with fractal von Neumann architecture. IEEE Transactions on Computers (IEEE TC) 69(7): 998-1014 (2020) (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) 69(7): 968-985 (2020) (CCF-A)

[7] Shengyuan Zhou, Qi Guo, Zidong Du, Daofu Liu, Tianshi Chen, Ling Li, Shaoli Liu, Jinhong Zhou, Olivier Temam, Xiaobing Feng, Xuda Zhou, Yunji Chen. ParaML: A polyvalent multi-core accelerator for machine learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD) 39(9): 1764-1777 (2020) (CCF-A)

[8] Qi Guo, Tiansh Chen, Yunji Chen, and Franz Franchetti. Accelerating architectural simulation via statistical techniques: a survey. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD) 35(3): 433-446 (2016) (CCF-A)

[9] Tianshi Chen, Qi Guo, Olivier Temam, Yue Wu, Yungang Bao, Zhiwei Xu, and Yunji Chen. Statistical performance comparisons of computers. IEEE Transactions on Computers (IEEE TC) 64(5): 1442-1455 (2015). (CCF-A)

[10] Qi Guo, Tianshi Chen, Yunji Chen, Rui Wang, Weiwu Hu, Huanhuan Chen, and Guoliang Chen. Pre-silicon bug forecast. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD) 33(3): 451-463 (2014) (CCF-A)