Bing Li, Songyun Qu, and Yi Wang.
An Automated Quantization Framework for High-utilization RRAM-based PIM,
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD 2021, CCF A).
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 (DAC 2020, CCF A).
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 (TCAD, CCF A).
Bing Li, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Joe X. Qiu, Hai Li.
3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks.
ACM Journal on Emerging Technologies in Computing Systems, 16 (2), 1-24, 2020 (SCI).
Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen and Hai Li.
Thread Batching for High-performance Energy-efficient GPU Memory Design.
ACM Journal on Emerging Technologies in Computing Systems, 15 (4), 1-21, 2019 (SCI).
Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li.
ReRAM-based accelerator for deep learning.
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018, pp 815-820 (CCF B).
Bing Li, Wei Wen, Jiachen Mao, Sicheng Li, Yiran Chen, Hai Helen Li.
Running sparse and low-precision neural network: When algorithm meets hardware.
Asia and South Pacific Design Automation Conference (ASP-DAC), 2018, pp 534-539 (CCF C).
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