当前位置: X-MOL首页全球导师 国内导师 › 夏文

个人简介

夏文,教授,博士生导师,国家级青年人才,IEEE/ACM/USENIX/CCF会员,中国计算机学会信息存储专委会常委、中国计算机学会系统软件专委会委员、ACM ChinaSys青年执委、中国计算机学会YOCSEF深圳学术委员、深圳市科创委项目评审专家、深圳市经信委项目评审专家、广东省科技项目评审专家等。 研究经历 2014年博士毕业于华中科技大学(师从冯丹教授),博士论文曾荣获"中国电子学会优秀博士学位论文奖"、"湖北省优秀博士学位论文奖"、"中国计算机学会优秀博士论文提名";先后在华中科大、NEC美国实验室、美国内布拉斯加大学林肯分校、深信服科技等单位从事研究工作,有着丰富的国内外高校和企业工作研究经历 科研荣誉 曾获得教育部自然科学一等奖、湖北省科技进步一等奖、中国电子学会优秀博士学位论文奖、ACM ChinaSys新星奖、ACM ChinaSys优秀博士论文指导教师、广东省“珠江人才计划”青年拔尖人才、深圳市计算机学会科学技术一等奖、湖北省优秀学士论文指导教师、深圳市“孔雀计划”海外高层次人才,ACM TOS杰出审稿人等荣誉 科研项目 2016-2018 国家自科基金青年基金(主持) 2014-2016 中央高校自主创新研究基金(主持) 2015-2016 腾讯云计算合作项目(主持) 2018-2020 哈工大“青年拔尖”启动项目(主持) 2019-2021 广东省重点领域研发项目(参与) 2016-2020 其他校企合作若干(主持) 2019-2021 深圳市高层次人才启动项目(主持) 2019-2021 武汉光电国家研究中心开放基金项目 (主持) 2020-2023 国家自科基金面上项目(主持) 2020-2022 深圳市基础研究面上项目(主持) 2021-2023 广东省自然科学基金项目面上项目(主持) 2021-2022 计算机体系结构国家重点实验室开放课题(主持) 2022-2025 深圳市基础研究优青项目(主持) 科研成果及奖励 2011 武汉光电国家实验室存储部优秀论文奖 2012 USENIX FAST(CCF推荐A类会议)Travel Grant 2012 华中科技大学光华奖学金 2013 全国信息存储大会优秀论文奖 2013 武汉光电国家实验室科技之星(共5人) 2014 USENIX ATC(CCF推荐A类会议)Travel Grant 2015 华中科技大学优秀学士学位论文指导教师奖 2015 中国计算机学会优秀博士学位论文奖提名 2015 湖北省优秀博士学位论文奖 2015 湖北省优秀学士学位论文指导教师奖 2016 PEEE(CCF推荐A类期刊)封面论文 2016 中国电子学会优秀博士学位论文奖(144选20) 2017 深圳市海外高层次人才(孔雀计划) 2017 深圳市南山区"领航人才" 2018 哈尔滨工业大学“青年拔尖人才”计划 2018 湖北省科技进步一等奖(排名第六) 2018 广东省“珠江人才计划”引进高层次人才 2019 “阿里云-中国计算机学会存储专委会”优秀论文奖(学生) 2020 首届哈尔滨工业大学(深圳)优秀本科毕设指导教师(全校10人) 2020 ACM ChinaSys新星奖(全国系统方向两人) 2020 华为云首届技术创新大赛三等奖(总排名并列第四) 2020 哈尔滨工业大学计算学部学生优秀论文奖(学生) 2020 教育部自然科学一等奖(排名第三) 2020 深圳市计算机学会科学技术一等奖(排名第一) 2020 ACM TOS Distinguish Reviewer(CCF推荐A类期刊) 2021 哈尔滨工业大学(深圳)优秀本科毕设指导教师 2022 哈尔滨工业大学优秀硕士论文指导教师 2022 哈尔滨工业大学(深圳)优秀本科毕设指导教师 2023 ACM ChinaSys优秀博士论文奖指导教师

研究领域

云存储、云计算、大数据、去重压缩等

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Jiansheng Qiu, Yanqi Pan, Wen Xia, Xiaojia Huang, Wenjun Wu, Xiangyu Zou, Shiyi Li, and Yu Hua. Light-Dedup: A Light-weight Inline Deduplication Framework for Non-Volatile Memory File Systems. Proceedings of the 2022 USENIX Annual Technical Conference (USENIX ATC'23), Carlsbad, CA, USA, Jul. 2023. (Acceptance rate: 18%) Yanqi Pan, Yifeng Zhang, Wen Xia, Xiangyu Zou, Cai Deng. HUNTER: Releasing Persistent Memory Write Performance with A Novel PM-DRAM Collaboration Architecture. Proceedings of 2023 60th ACM/IEEE Design Automation Conference (DAC'23), San Francisco, CA, USA, Jul. 2023. Qi Chen, Hao Hu, Cai Deng, Dingbang Liu, Shiyi Li, Bo Tang, Ting Yao, and Wen Xia. EEPH: An Efficient Extendible Perfect Hashing for Hybrid PMem-DRAM. Proceedings of 2023 IEEE 39th International Conference on Data Engineering (ICDE'23), Anaheim, California, USA, Apr. 2023. Xiangyu Zou, Wen Xia, Philip Shilane, Haijun Zhang, and Xuan Wang. Building a High-performance Fine-grained Deduplication Framework for Backup Storage with High Deduplication Ratio. Proceedings of the 2022 USENIX Annual Technical Conference (USENIX ATC'22), Carlsbad, CA, USA, Jul. 2022. (Acceptance rate: 16%) Cai Deng, Qi Chen, Xiangyu Zou, Erci Xu, Bo Tang, and Wen Xia. imDedup: A Lossless Deduplication Scheme to Eliminate Fine-grained Redundancy among Images. Proceedings of 2022 IEEE 38th International Conference on Data Engineering (ICDE'22), Kuala Lumpur, Malaysia, 2022. Xiangyu Zou, Jingsong Yuan, Philip Shilane, Wen Xia, Haijun Zhang, and Xuan Wang. The Dilemma between Deduplication and Locality: Can Both be Achieved? Proceedings of the 19th USENIX Conference on File and Storage Technologies (FAST'21), Santa Clara, CA, USA, Feb. 2021. (Acceptance rate: 21.5%) Qiuping Wang, Jinhong Li, Wen Xia, Erik Kruus, Biplob Debnath, and Patrick P. C. Lee. Austere Flash Caching with Deduplication and Compression. Proceedings of the 2020 USENIX Annual Technical Conference (USENIX ATC'20), Boston, MA, USA, Jul. 2020. (Acceptance rate: 17%) Yuan He, Lingfeng Xiang, Wen Xia, Hong Jiang, Zhenhua Li, Xuan Wang, and Xiangyu Zou. Dsync: a Lightweight Delta Synchronization Approach for Cloud Storage Services. Proceedings of the 36th International Conference on Massive Storage Systems and Technology (MSST'20), Santa Clara, CA, USA, Oct. 2020. Yucheng Zhang, Wen Xia, Dan Feng, Hong Jiang, Yu Hua, and Qiang Wang. Finesse: Fine-Grained Feature Locality based Fast Resemblance Detection for Post-Deduplication Delta Compression. Proceedings of the 17th USENIX Conference on File and Storage Technologies (FAST'19), BOSTON, MA, USA, Feb. 2019. (Acceptance rate: 18%) Wen Xia, Hong Jiang, Dan Feng, Fred Douglis, Philip Shilane, Yu Hua, Min Fu, Yucheng Zhang, and Yukun Zhou. A Comprehensive Study of the Past, Present, and Future of Data Deduplication. in Proceedings of the IEEE (PIEEE), Vol. 104, No. 9, Sep. 2016, pages: 1681-1710. Wen Xia, Yukun Zhou, Hong Jiang, Dan Feng, Yu Hua, Yuchong Hu, Yucheng Zhang, and Qing Liu. FastCDC: a Fast and Efficient Content-Defined Chunking Approach for Data Deduplication. in Proceedings of USENIX Annual Technical Conference (USENIX ATC'16), Denver, CO, USA, June 22–24, 2016, pages: 101-114. (Acceptance rate:18%, the FastCDC source code is here) Min Fu, Dan Feng, Yu Hua, Xubin He, Zuoning Chen, Wen Xia, Yucheng Zhang, and Yujuan Tan. Design Tradeoffs for Data Deduplication Performance in Backup Workloads. in Proceedings of the 13th USENIX Conference on File and Storage Technologies (FAST'15), Santa Clara, CA, USA, February 16-19, 2015. USENIX Association, pages: 331-344. (Acceptance rate: 21%) Yucheng Zhang, Hong Jiang, Dan Feng, Wen Xia, Min Fu, Fangting Huang, and Yukun Zhou. AE: An Asymmetric Extremum Content Defined Chunking Algorithm for Fast and Bandwidth-Efficient Data Deduplication. in Proceedings of the 34th IEEE International Conference on Computer Communications (INFOCOM'15), Hong Kong, China, April 26th - May 1st, 2015, pages: 1337-1345.(Acceptance rate: 19%) Min Fu, Dan Feng, Yu Hua, Xubin He, Zuoning Chen, Wen Xia, Fangting Huang, and Qing Liu. Accelerating Restore and Garbage Collection in Deduplication-based Backup Systems via Exploiting Historical Information. in Proceedings of 2014 USENIX Annual Technical Conference (USENIX ATC'14), Philadelphia, PA, USA: USENIX Association, June 19-20, 2014, pages 181-192. (Acceptance rate: 15%) Wen Xia, Hong Jiang, Dan Feng, and Yu Hua. SiLo: A Similarity-Locality based Near-Exact Deduplication Scheme with Low RAM Overhead and High Throughput. in Proceedings of The 2011 USENIX Annual Technical Conference (USENIX ATC'11), Portland, OR, USA, June 15-17, 2011, pages 285-298. (Acceptance rate: 15%)

推荐链接
down
wechat
bug