导师介绍
姓名 刘成 性别 男
联系方式 liucheng@ict.ac.cn 职称 副研究员
研究方向 FPGA可重构计算，专用硬件加速，近数据计算，异构计算
个人介绍
简历:
2019年06月 — 至今： 中国科学院计算技术研究所，副研究员2016年12月 — 2018年06月：新加坡国立大学，计算机系，博后
2016年04月 — 2016年10月：商汤科技，FPGA高级工程师
2011年09月 — 2016年04月：香港大学，电机与电子工程系，博士
2009年09月 — 2011年03月：中国科学院计算技术研究所
2007年09月 — 2009年07月：哈尔滨工业大学，微电子学与固体电子学，硕士
2003年09月 — 2007年09月：哈尔滨工业大学，电子信息科学与技术， 本科


个人主页：https://liu-cheng.github.io/

研究方向:
FPGA可重构计算，专用硬件加速，近数据计算，异构计算
社会任职:

获奖及荣誉:
中国科学院科技成果转化奖特等奖， 2019年

代表论著:
期刊文章:
[1] Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, and Hai Jin. A Survey on Graph Processing Accelerators: Challenges and Opportunities. Journal of Computer Science and Technology (JCST), Vol.34, no. 2 (2019): 339-371
[2] Hayden Kwok-Hay So and Cheng Liu. FPGA overlays. In FPGAs for Software Programmers, pp. 285-305. Springer, Cham, 2016
[3] Ying Wang, Yin-He Han, Lei Zhang, Bin-Zhang Fu, Cheng Liu, Hua-Wei Li, and Xiaowei Li. Economizing TSV resources in 3-D network-on-chip design. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, no. 3(2015):493-506.
[4] Yin-He Han, Cheng Liu, Hang Lu, Wen-Bo Li, Lei Zhang, and Xiao-Wei Li. RevivePath: Resilient network-on-chip design through data path salvaging of router. Journal of Computer Science and Technology (JCST), Vol. 28, no. 6 (2013): 1045-1053.


会议文章：
[1] Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Lei Zhang, BitPruner: Network Pruning for Bit-Serial Accelerators, In IEEE/ACM Proceedings of Design, Automation Conference (DAC), 2020
[2] Dawen Xu, Cheng Chu, Cheng Liu, Ying Wang, Xianzhong Zhou, Lei Zhang, Huawei Li, Huaguo Liang, Multi-task Scheduling for PIM-based Heterogeneous Computing System, The 30th ACM Great Lakes Symposium on VLSI (GLVLSI), 2020
[3] Dawen Xu, Xinke Chu, Cheng Liu, Ying Wang, Huawei Li, Lei Zhang, CNT-Cache: an Energy-Efficient Carbon Nanotube Cache with Adaptive Encoding, IEEE/ACM Proceedings of Design, Automation and Test in Europe conference (DATE), 2020
[4] Weiwei Chen, Ying Wang, Shuang Yang, Cheng Liu, Lei Zhang, You Only Search Once: A Fast Automation Framework for Single-Stage DNN/Accelerator Co-design, IEEE/ACM Proceedings of Design, Automation and Test in Europe conference (DATE), 2020
[5] Cheng Liu, Xinyu Chen, Bingsheng He, Ying Wang, Xiaofei Liao, Lei Zhang, OBFS: OpenCL Based BFS Optimization on Software Programmable FPGAs, In 2019 International Conference on Field Programmable Technology (FPT), Dec 11-13, 2019
[6] Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li and Xiaowei Li, InS-DLA: An In-SSD Deep Learning Accelerator for Near-Data Processing, The International Conference on Field-Programmable Logic and Applications (FPL), Sep 9-11, 2019
[7] Dawen Xu, Kouzi Xing, Cheng Liu, Ying Wang, Yulin Dai, Long Cheng, Huawei Li, Lei Zhang, Resilient Neural Network Training for Accelerators with Computing Errors, The 30th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), July 15-17, 2019
[8] Dawen Xu, Kaijie Tu, Ying Wang, Cheng Liu, Bingsheng He, and Huawei Li. FCN-engine: accelerating deconvolutional layers in classic CNN processors. In Proceedings of the International Conference on Computer-Aided Design (ICCAD), p.22. ACM, 2018.
[9] Cheng Liu, Ho-Cheung Ng, Hayden Kwok-Hay So, Automatic nested loop acceleration on FPGAs using soft CGRA overlay, The Second International workshop of FPGAs for Software Programmers (FSP), 2015
[10] Cheng Liu, Ho-Cheung Ng, and Hayden Kwok-Hay So. QuickDough: a rapid FPGA loop accelerator design framework using soft CGRA overlay. In 2015 International Conference on Field Programmable Technology (FPT), pp. 56-63. IEEE, 2015.

承担科研项目情况:
[1] 国家自然科学青年基金，基于FPGA的专用高能效图计算加速研究，2020/1-2021/12，负责人
[2] 191项目，物端智能系统子课题，2019/1-2020/1，参与
[3] 中国科学院，STS计划项目，超微智能计算机，2019/1-2019/12，参与

学科类别:
计算机体系结构
所属部门:
泛在计算系统研究中心
专家类别:
副高
****入选时间:

百人入选时间:

其他备注:

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