[ASPLOS 2024] Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang
Cim-mlc: A multi-level compilation stack for computing-in-memory accelerators
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and
Operating System
[TCAD 2021]Bing Li, Songyun Qu, Ying Wang. An Automated Quantization Framework for
High-utilization RRAM-based PIM, in IEEE Transactions on Computer-Aided Design of Integrated Circuits
and Systems, vol. 41, no. 3, pp. 583-596, March 2022, doi: 10.1109/TCAD.2021.3061521. (CCF A)
[ICCAD 2020]Bing Li, Ying Wang, Yiran Chen. HitM: High-Throughput ReRAM-based PIM for
Multi-Modal Neural Networks, in Proceedings of the 39th International Conference on Computer-Aided
Design (ICCAD '20), DOI:https://doi.org/10.1145/3400302.3415663.
[DAC 2019] Songyun Qu, Bing Li, Yi Wang, Xiandong Zhao, Dawen Xu, and Lei Zhang.
RaQu: An Automatic High-Utilization CNN Quantization and Mapping Framework for General-Purpose RRAM
Accelerator,
in Design Automation Conference 2020.
[TCAD 2020] Ziru Li, Bing Li, Zichen Fan, and Hai Li. (Corresponding Author)
RED: an ReRAM-based Efficient Accelerator for Deconvolutional Computation.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
学术报告
2019.11清华大学NICS实验室，高效的存算一体加速器，邀请人：汪玉教授
学术奖励
2018 National Academy of Science Associate Fellowship Award, 美国国家科学院院士奖学金