万博体育max手机登陆app-手机版下载

设为首页| 加入收藏| English|

人员队伍

教研人员 当前位置: 首页 人员队伍 教研人员

李冰

发布日期:2020-09-25点击量:

 

 

个人信息简介

博士

副研究员

研究方向:高性能深度学习、存算一体化架构、新型非易失性存储技术

邮箱:bing.li@cnu.edu.cn ;   libing9084@gmail.com

办公室:校本部教二楼306室

个人主页:https://libingict.github.io/

教育经历

2017.09-2019.09  美国,杜克大学,IEEE Fellow Yiran Chen 和IEEE Fellow Hai Li进化智能研究中心,博士后研究员

2010.09-2016.06  北京,中国科学院大学,计算技术研究所国家重点实验室,工学博士

2006.09-2010.06  北京,中央民族大学(985,211),计算机科学与技术专业, 工学学士

工作经历

2016.09-2017.07 北京,中国联合通信有限公司研究院,工程师研究员

承担课程

2019-2020年春   深度学习应用与实践

科研项目

1.   2019年11月-2021年10月 基于忆阻器的通用深度学习加速器设计研究 计算机体系结构国家重点实验室(CARCH201913)  5万

2.   2018年1月-2020年12月 强物理不可克隆函数的攻防检研究  国家自然科学基金(61704174)33.6万

3.   2016年 9月-2020年12月 集成电路安全隐患检测的理论与方法 国家自然科学基金(61532017)347万

著作论文

发表论文(按发表时间排序)

一作/通讯作者论文

[1]   Bing Li, Ying Wang , Yiran Chen, Hit-M: High-Throughput ReRAM-based PIM for Multi-Modal Neural Networks, to appear in 2020 International Conference On Computer Aided Design. (EI, CCF B  )

[2]   Songyun Qu, Bing Li, Ying Wang, Dawen Xu, Xiandong Zhao, Lei Zhang. RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator, 2020 Design Automation Conference (共一,CCF A)

[3]   Ziru Li, Bing Li, Zichen Fan, and Hai Li. RED: an ReRAM-based Efficient Accelerator for Deconvolutional Computation. in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, doi: 10.1109/TCAD.2020.2981055. (通讯作者,CCF A SCI中科院JCR 二区)

[4]   Bing Li, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, 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, 影响因子: 1.672)

[5]          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): 39:1-39:21 (2019). DOI:https://doi.org/10.1145/3330152. (SCI, 影响因子: 1.672)

[6]   Qilin Zheng, Jian Kang, Zongwei Wang, Yimao Cai, Ru Huang, Bing Li, Yiran Chen and Hai Li. Enhance the Robustness to Time Dependent Variability of ReRAM-Based Neuromorphic Computing Systems with Regularization and 2R Synapse, in 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 2019, 26-29 May, pp. 1-5. doi: 10.1109/ISCAS.2019.8702756 (共一)

[7]   Bing Li, Bonan Yan, Hai Helen Li. An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications, In Proceedings of the 2019 on Great Lakes Symposium on VLSI (GLSVLSI '19). ACM, New York, NY, USA, 381-386. DOI: https://doi.org/10.1145/3299874.3319452

[8]   Bing Li, Bonan Yan, Chenchen Liu, Hai Helen Li. Build Reliable and Efficient Neuromorphic Design with Memristor Technology, in 24th Asia and South Pacific Design Automation Conference (ASP-DAC), 2019, pp. 224-229. (EI)

[9]   Zichen Fan, Ziru Li, Bing Li, Hai Li. RED: A ReRAM-based Deconvolution Accelerator, in Design, in Automation & Test in Europe Conference & Exhibition (DATE), 2019, pp. 1763-1768. (共一及通信作者, EI, CCF B)

[10]        Bing Li, Fan Chen, Wang Kang, Weisheng Zhao, Yiran Chen and Hai Helen Li. Design and Data Management for Magnetic Racetrack Memory, in 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018, pp 1-4.

[11] Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li. ReRAM-based accelerator for deep learning, in Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018, pp 815-820. (EI, CCF B)

[12] Bing Li, Wei Wen, Jiachen Mao, Sicheng Li, Yiran Chen, Hai Helen Li. Running sparse and low-precision neural network: When algorithm meets hardware, in 23th Asia and South Pacific Design Automation Conference (ASP-DAC), 2018, pp 534-539. (EI)

[13] Bing Li, Yu Hu, Ying Wang, Jing Ye, and Xiaowei Li. Power-Utility-Driven Write Management for MLC PCM. ACM Journal on Emerging Technologies in Computing Systems (JETC) 13.3 (2017): 50. (SCI, 影响因子: 1.672)

[14] Bing Li, ShuChang Shan, Yu Hu, Xiaowei Li. A Dynamic Adjustment Design for Hybrid Fault Tolerant Code in Memory System (面向内存的混合容错编码动态调节设计), in Journal of Computer-Aided Design & Computer Graphics (JCAD, 计算机辅助设计与图形学学报), Volume 26 Issue 9, September 2014. (EI, 中文核心期刊)

[15] Bing Li, Yu Hu, Xiaowei Li, Short-SET: An energy-efficient write scheme for MLC PCM, in IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA), 2014, pp. 1-6. (EI)

[16] Bing Li, ShuChang Shan, Yu Hu, Xiaowei Li. Partial-SET: Write speedup of PCM main memory, in Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014, pp. 1-4. (EI, CCF B)

[17] Bing Li, ShuChang Shan, Yu Hu, Xiaowei Li. Tolerating Noise in MLC PCM with Multi-Bit Error Correction Code, in 19th Pacific Rim International Symposium on Dependable Computing (PRDC), 2013, pp. 226-231. (EI)

 

合作论文(按对论文的贡献程度排名)

[1]   Ying Wang, Bing Li, Mengdi Wang, Huawei Li, and Xiaowei Li, An Energy-Efficient Many-Core Accelerator Design for On-Chip Deep Reinforcement Learning, to appear in 2020 International Conference On Computer Aided Design.

[2]   Bonan Yan, Bing Li, Ximing Qiao, Cheng-Xin Xue, Meng-Fan Chang, Yiran Chen, and Hai (Helen) Li. RRAM based In-Memory Computing: From Device and Large-Scale Integration System Perspectives, in Advanced Intelligent Systems.

[3]   Chunpeng Wu, Ang Li, Bing Li, and Yiran Chen. Efficiently Learning a Robust Self-Driving Model with Neuron Coverage Aware Adaptive Filter Reuse, in 2019 IEEE International Workshop on Signal Processing Systems (SiPS).

[4]   Xuyang Guo, Yuanjun Huang, Hsin-pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Li, Yiran Chen. Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Hsinchu, Taiwan, 2019, pp. 276-278.

[5]   Biresh Kumar Joardar, Bing Li, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty. "REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs". to appear in Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019. (EI, CCF B)

重要奖项

1.   2018    美国国家科学奖学金National Academy of Science   Associate Fellowship Award

2.   2014    中国科学院大学,浪潮奖学金

3.   2013, 2014  计算机体系结构国家重点实验室,优秀学生奖