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陈咸彰
时间:2017-12-11    浏览量:次

1 基本信息

   名: 陈咸彰

   称: 副教授

办公地点:A区主教学楼626

E-mail

研究方向  智能存储系统、操作系统、嵌入式系统

招生信息  招收硕士生。陈老师所在团队强调学术研究、技术实现,提供个性化指导和国际化发展机遇。每个学生均享有以下机会:

(1)参与高水平课题:参与高水平科研课题,接触最前沿的科学技术,让找工作和深入研究无忧;

(2)参加学术会议:参与国内国际学术会议,与领域学术和技术大牛面对面交流,拓展眼界和视野;

(3)无忧科研生活:团队科研项目经费充足,进入团队后按月发放科研补助,使用先进的科研设备开展工作;

(4)继续深造机会:团队不仅仅招收博士生,还会为同学提供美国、新加坡、中国香港和台湾省等地的海外博士生和博士后推荐机会。

陈咸彰老师有充足的名额,无论你来自哪所学校,都非常欢迎联系申请: xzchen@rennerleonhard.com。


2 个人简介:

陈咸彰,重庆大学副教授,硕士生导师,新加坡国立大学Research Fellow。中国计算机学会会员,嵌入式系统专委会委员,国际计算机学会(ACM)会员,国际电子工程师学会(IEEE)会员。我的研究领域包括智能存储系统、操作系统、嵌入式系统等,与航天五院、香港城市大学、香港中文大学、新加坡国立大学等国内外多所高校和院所建立了科研合作。我主持了国家重点项目课题、国家自然科学青年基金、中国博士后科学基金(一等)面上资助、重庆市博士后(一等)特别资助等项目,作为项目骨干参与了两项国家863课题项目,以及国家自然科学基金等多个项目;先后在FAST、DAC、IEEE/ACM Transactions等国际会议和期刊上发表论文50余篇,成果被国际期刊IEEE Transactions on Computers评选为2016年度的代表论文(Editor’s pick of the year 2016),并且获得国际会议IEEE ICCD 2017IEEE NVMSA 2015ICSS 2013的最佳论文奖和2017年嵌入式系统学术年会最佳学生论文奖,且获得2018重庆市优秀博士学位论文奖。申请国家发明专利17项,获授权7项。目前为多个国际学术会议和期刊服务,担任过DAC、ISVLSIASP-DACIEEE RTCSAACM SACIEEE ISORC等多个国际会议的技术评议会评审委员(TPC Member),并担任了IEEE Transactions on Computers (IEEE TC)ACM Transactions on Design Automation of Electronic Systems (TODAES)ACM Transactions on Embedded Computing Systems (ACM TECS)、计算机研究与发展、软件学报、计算机学报等十多个国内外期刊的审稿人。

 

3 部分学术成果

期刊论文

[1]  Jinting Ren, Xianzhang Chen*, Duo Liu, Yujuan Tan, Moming Duan, Ruolan Li, Liang Liang. A Machine Learning Assisted Data Placement Mechanism for Hybrid Storage Systems. Journal of Systems Architecture (JSA), 2021, 120: 102295. (CCF B)

[2]  Xianzhang Chen*, Edwin H.-M. Sha, Xinxin Wang, Chaoshu Yang, Weiwen Jiang, Qingfeng Zhuge. Contour: A Process Variation Aware Wear-Leveling Mechanism for Inodes of Persistent Memory File Systems. IEEE Transactions on Computers (IEEE TC), 2021, 70(7): 1034-1045. (CCF A)

[3]  Renping Liu, Xianzhang Chen*, Duo Liu, Weilue Wang, Yujuan Tan, Chunhua Xiao, Chaoshu Yang, Runyu Zhang, Liang Liang. Separable Binary Convolutional Neural Network on Embedded Systems. IEEE Transactions on Computers (IEEE TC), 2020, 69(10): 1474-1486. (CCF-A)

[4]  Chaoshu Yang, Qingfeng Zhuge, Xianzhang Chen*, Edwin H.-M. Sha, Duo Liu, and Runyu Zhang. Optimizing Synchronization Mechanism for Block-based File Systems using Persistent Memory. Future Generation Computer Systems (FGCS), 2020, 111:288-299. (JCR 1)

[5]  Xianzhang Chen, Edwin H.-M. Sha, Qingfeng Zhuge*, Ting Wu, Weiwen Jiang, and Xiaoping Zeng. UMFS: an efficient user-space file system for non-volatile memory. Journal of Systems Architecture (JSA), 2018, 89:18-29. (CCF B)

[6]  Xianzhang Chen, Edwin H.-M. Sha*, Weiwen Jiang, Chaoshu Yang, Ting Wu, and Qingfeng Zhuge. Refinery Swap: An Efficient Swap Mechanism for Hybrid DRAM-NVM Systems. Future Generation Computer Systems (FGCS), 2017, 77:52-64. (JCR 1, CCF C)

[7]  Xianzhang Chen, Edwin H.-M. Sha*, Qingfeng Zhuge, Chun Jason Xue, Weiwen Jiang, and Yuangang Wang. Efficient Data Placement for Improving Data Access Performance on Domain-Wall Memory. IEEE Transactions on Very Large Scale Integration (VLSI) Systems (IEEE TVLSI), 2016, 24(10): 3094- 3104. (CCF B)

[8]  Xianzhang Chen, Edwin H.-M. Sha*, Qingfeng Zhuge, Weiwen Jiang, Junxi Chen, and Jun Chen. A Unified Framework for Designing High Performance In-memory and Hybrid Memory File Systems. Journal of Systems Architecture (JSA), 2016, 68:51-64. (CCF B)

[9]  Edwin H.-M. Sha*, Xianzhang Chen, Qingfeng Zhuge, Liang Shi, and Weiwen Jiang. A New Design of In-Memory File System Based on File Virtual Address FrameworkIEEE Transactions on Computers (IEEE TC), 2016, 65(10): 2959-2972. (CCF A, 201610月刊封面论文, IEEE TC选为2016年度代表论文)

[10]  吴宇, 杨涓, 刘人萍, 任津廷, 陈咸彰*, 石亮, 刘铎. 近似存储技术综述. 计算机研究与发展, 2018, 55(9): 2002-2015.


会议论文

         [11] Yu Liang, Riwei Pan, Tianyu Ren, Yufei Cui, Rachata Ausavarungnirun, Xianzhang Chen*, Changlong Li*, Tei-Wei Kuo, Chun Jason Xue. CacheSifter: Sifting Cache Files for Boosted Mobile Performance and Lifetime. The 20th USENIX Conference on File and Storage Technologies (FAST), Santa Clara, USA, Feb. 2022. (CCF A

 [12]  Jinting Ren, Xianzhang Chen*, Duo Liu*, Moming Duan, Renping Liu, Chengliang Wang. Forseti: An Efficient Basic-block-level Sensitivity Analysis Framework Towards Multi-bit Faults. Design, Automation and Test in Europe (DATE), Virtual Conference, Feb. 2021. (CCF B)

[13] Yu Liang, Jinheng Li, Xianzhang Chen*, Rachata Ausavarungnirun, Riwei Pan, Tei-Wei Kuo, Chun Jason Xue. Differentiating Cache Files for Fine-grain Management to Improve Mobile Performance and Lifetime. The 12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage), Boston, USA, July. 2020. (CCF B)

[14]  Chaoshu Yang, Duo Liu, Runyu Zhang, Xianzhang Chen*, Shun Nie, Fengshun Wang, Qingfeng Zhuge, Edwin H.-M. Sha. Efficient Multi-Grained Wear Leveling for Inodes of Persistent Memory File Systems. The 57th Annual Design Automation Conference (DAC), San Francisco, USA, July. 2020. (CCF A)

[15]  Renping Liu, Xianzhang Chen*, Yujuan Tan, Runyu Zhang, Liang Liang, Duo Liu. SSDKeeper: Self-Adapting Channel Allocation to Improve the Performance of SSD Devices. The 34th IEEE International Parallel & Distributed Processing Symposium (IPDPS), New Orleans, USA, May 2020. (CCF B)

[16]  Jinting Ren, Xianzhang Chen*, Yujuan Tan, Duo Liu, Moming Duan, Liang Liang, Lei Qiao. Archivist: A Machine Learning Assisted Data Placement Mechanism for Hybrid Storage Systems. The 37th IEEE International Conference on Computer Design (ICCD). Abu Dhabi, UAE, Nov. 2019: 676-679. (CCF B)

[17]   Xianzhang Chen*, Qingfeng Zhuge, Qiang Sun, Edwin H.-M. Sha, Shouzhen Gu, Chaoshu Yang, and Chun Jason Xue. A Wear-leveling-aware Fine-grained Allocator for Non-volatile Memory. The 56th Annual Design Automation Conference (DAC), Las Vegas, USA, Jun. 2019. (CCF A)

[18]  Yue Xu, Hyung Gyu Lee, Yujuan Tan, Yu Wu, Xianzhang Chen*, Liang Liang, Qiao Lei, and Duo Liu*. Tumbler: Energy Efficient Task Scheduling for Dual-channel Solar-powered Sensor Nodes. The 56th Annual Design Automation Conference (DAC), Las Vegas, USA, Jun. 2019. (CCF A)

[19]  Chaoshu Yang, Duo Liu, Xianzhang Chen*, Runyu Zhang, Wenbin Wang, Moming Duan, and Yujuan Tan. Reducing Write Amplification for Inodes of Journaling File System using Persistent Memory. Design, Automation and Test in Europe (DATE), Florence, Italy, Mar. 2019. (CCF B)

[20]  Xianzhang Chen*, Edwin H.-M. Sha, Yuansong Zeng, Chaoshu Yang, Weiwen Jiang, Qingfeng Zhuge. Efficient Wear Leveling for Inodes of File Systems on Persistent Memories. Design, Automation and Test in Europe (DATE), Dresden, Germany, Mar. 2018: 1524-1527. (CCF B)

[21]  Xianzhang Chen*, Edwin H.-M. Sha, Ahmad Abdullah, Qingfeng Zhuge, Lin Wu, Chaoshu Yang, and Weiwen Jiang. UDORN: A Design Framework of Persistent In-Memory Key-value Database for NVM. IEEE Non-volatile Memory System & Applications Symposium (NVMSA), Hsinchu, China, Aug. 2017. (EI)

[22]  Xianzhang Chen*, Edwin H.-M. Sha, Weiwen Jiang, Qingfeng Zhuge, Junxi Chen, Jiejie Qin, Yuansong Zeng. The Design of an Efficient Swap Mechanism for Hybrid DRAM-NVM Systems. The 13th International Conference on Embedded Software (EMSOFT), Pittsburg, USA, Oct. 2016. (CCF B)

[23]  Xianzhang Chen*, Edwin H.-M. Sha, Qingfeng Zhuge, Penglin Dai, and Weiwen Jiang. Optimizing Data Placement for Reducing Shift Operations on Domain Wall Memories. The 52nd Annual Design Automation Conference (DAC), San Francisco, USA, Jun. 2015. (CCF A)

[24]  Runyu Zhang, Duo Liu*, Xianzhang Chen*, Xiongxiong She, Chaoshu Yang, Yujuan Tan, Zhaoyan Shen, Zili Shao. LOFFS: A Low-Overhead File System for Large Flash Memory on Embedded Devices. The 57th Annual Design Automation Conference (DAC), San Francisco, USA, July 2020. (CCF A)


    主持科研项目

    [1] 国家级重点项目课题,在研。

    [2] 华为合作科研项目,在研。

            [3] 国家自然科学基金项目,面向非易失性内存存储的性能和耐久性优化关键技术研究,国家自然科学基金委,结题。

            [4] 中国博士后科学基金面上资助(一等),面向非易失性内存的文件系统设计与优化研究,结题。

            [5] 重庆市博士后特别资助(一等),面向非易失内存存储系统的性能与耐久性优化研究,结题


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