Rong Gu(顾荣)

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南京大学特聘研究员,博导

教育部青年长江学者

达摩院青橙奖获奖者


Department of Computer Science and Technology, Nanjing University
163 Xianlin Avenue, Qixia District, Nanjing, Jiangsu 210023, China
Email: gurong[at]nju.edu.cn
Group: 先进网络与数据科学研究组

Short Biography

Knowing yourself is the beginning of all wisdom. –Aristotle

I am currently a distinguished researcher in the Department of Computer Science and Technology at Nanjing University. My research interests include Cloud and Big Data computing systems, Distributed AI Training and Inference System, Intelligent Data Management System, etc. I have published over 60 papers in USENIX ATC, VLDB, EuroSys, KDD, ICDE, WWW, INFOCOM, VLDBJ, IEEE TPDS, TKDE, ToN, TMC, IPDPS, ICPP, IWQoS, and published two monographs. I received the DAMO Academy Young Fellow Award, IEEE TCSC Award for Excellence in Scalable Computing (Early Career), IEEE HPCC 2022 Best Paper Award, the first prize of Jiangsu Science and Technology Prize in 2018, Outstanding Alibaba Innovative Research Program Award in 2023, Tecent Cloud Valuable Professional (TVP) Award in 2021, the first place of the 30th SortBenchmark Competition CloudSort Track (Record Holder). My research results have been adopted by a number of well-known open source software such as Apache Spark, Alluxio, and leading IT/domain companies, including Alibaba, Baidu, Tencent, ByteDance, Huatai Securities, Intel, Sinopec, Weibo and so on. I am the community chair of the Fluid open source project (CNCF Sandbox project), a founding PMC member & maintainer of Alluxio (formly Tachyon) open source project. I am also the co-program chair of IEEE iThings’22,IEEE SocialCom’23, the co-chair of 23rd ChinaSys.

Bio in Chinese(中文简介): 顾荣,南京大学特聘研究员/博士生导师,教育部青年长江学者,达摩院青橙奖获奖者,担任Fluid开源社区主席(Linux基金会旗下CNCF官方项目)、ACM ChinaSys执行委员、中国计算机学会分布式计算与系统专委常务委员/大数据专家委员会执行委员/系统软件专委执行委员/开源发展委员会执行委员。

  • 研究方向:主要领域为云计算与大数据系统,目前关注分布式AI模型训练与推理系统、智能数据管理系统等,在相关研究领域共发表论文60余篇,包括一流国际学术期刊和会议USENIX ATC, VLDB, EuroSys, KDD, ICDE, WWW, INFOCOM, VLDBJ, IEEE TPDS, TKDE, ToN等,出版学术专著3部,授权发明专利18项。

  • 研究项目:主持国家自科基金项目(青年/面上)、国家重点研发计划子课题、中国博士后科学基金特别资助项目,以及中国石化、中国中车、华泰证券、华为、阿里巴巴、腾讯、中兴通讯、字节跳动等企业创新项目等10余项,研究成果落地于合作企业以及国际著名开源系统 Apache Spark、Alluxio等,并发起国际云原生计算基金会开源项目Fluid

  • 科研荣誉:获得江苏省科学技术一等奖、阿里达摩院青橙奖、IEEE可扩展计算委员会优秀青年学者奖(年度全球5人)、IEEE HPCC会议最佳论文奖、CCF分布式计算与系统专委会青年创新先锋(年度全国2人)、阿里巴巴优秀学术合作项目奖、华为公司“难题揭榜”火花奖、腾讯云最具价值专家奖、中兴通讯产学研优秀合作项目奖、中国开源创新大赛一等奖、南京大学青年五四奖章、国际计算机排序基准评估比赛CloudSort赛道第1名、ACM南京分会学术新星奖、江苏省计算机学会青年科技奖、中国信通院OSCAR尖峰开源人物。

  • 教书育人:主讲南京大学大数据处理系统类核心课程(面向本科生、研究生),主持教育部产学合作协同育人项目、江苏省高等教育教改研究项目、南京大学本科生教改研究项目等多项,主编出版教材1部,获评机械工业出版社华章分社新锐作者,获得江苏省教学成果二等奖、中国国际“互联网+”大学生创新创业大赛全国金奖/银奖(2019/2022)、“挑战杯”全国大学生课外学术科技作品竞赛主体赛全国一等奖、中国大学生服创大赛全国一等奖、全国高校云计算应用创新大赛一等奖等。

I am recruiting PhD, Master and Undergraduate students. If interested, please feel free to drop me an email.

最新消息:本团队诚招博士、硕士研究生,欢迎联系!

本人直接招收研究生(博士生和硕士生)以及南京大学本科生,对分布式网络与计算系统,特别是云计算与大数据系统、分布式AI模型训练与推理系统、智能数据管理系统方向感兴趣的同学,欢迎邮件与我联系(gurong[at]nju.edu.cn)。团队科研经费稳定(服务器集群/GPU设备齐全、科研劳务补助充裕),毕业学生去向与当前实习情况见这里

Research

My research interests include

  • Big Data/Cloud Computing System

  • Distributed AI Model Training and Inference System

  • Intelligent Data Management System

News

  • 05/2024 入选 2023 年度教育部长江学者奖励计划(青年学者)!

  • 05/2024 Our paper “ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes” is accepted by KDD 2024 (CCF-A)!

  • 05/2024 Our paper “Bamboo Filters: Make Resizing Smooth and Adaptive” is accepted by IEEE ToN 2024 (CCF-A)!

  • 04/2024 Our paper “Fluid-Shuttle: Efficient Cloud Data Transmission based on Serverless Computing Compression” is accepted by IEEE ToN 2024 (CCF-A)!

  • 03/2024 I received the ZTE Communications Industry-University-Research Excellent Collaboration Project Award (8/104)!(获得2023年度中兴通讯产学研优秀合作项目奖(8/104)!)

  • 03/2024 Our paper “A Generic Framework for Finding Special Quadratic Elements in Data Streams” is accepted by IEEE ToN 2024 (CCF-A)!

  • 01/2024 Our paper “A Survey of Multi-dimensional Indexes: Past and Future Trends” is accepted by IEEE TKDE 2024 (CCF-A)!

  • 12/2023 I received “2023 DAMO Academy Young Fellow Award” (获得2023年度达摩院青橙奖)!

  • 11/2023 Our paper “The Reinforcement Cuckoo Filter” is accepted by INFOCOM 2024 (CCF-A)!

  • 10/2023 Supervising students winning the first prize of the 18th National College Students’ Academic Challenge Cup! (指导鲍文杰、陈启明、王问骁等同学获得第十八届“挑战杯”全国大学生课外学术科技作品竞赛主体赛全国一等奖)!

  • 09/2023 Our paper “Wormhole Filters: Caching Your Hash on Persistent Memory” is accepted by EuroSys 2024 (CCF-A)!

  • 08/2023 Our paper “High-level Data Abstraction and Elastic Data Caching for Data-intensive AI Applications on Cloud-native Platforms” is accepted by IEEE TPDS (CCF-A)!

  • 08/2023 Our paper “ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation” is accepted by VLDB 2023 (CCF-A)!

  • 07/2023 I received the Young Innovation Pioneer Award of China Computer Federation Technical Committee on Distributed Computing and Systems! (获得2023年度中国计算机学会分布式计算与系统专委会青年创新先锋!)

  • 06/2023 Congratulations on the graduation of all my 2020-year Master students Zhong Weichang, Chen Guowang, Chen Yi, and Chen Yuquan! (祝贺指导的2020级硕士研究生钟伟畅、陈国旺、陈义、陈雨铨顺利毕业!)

  • 06/2023 We win Huawei Spark Award for Challenging Problems!(获得华为公司“难题揭榜”火花奖, 领域难题:PB级数据实时计算引擎)!

  • 04/2023 Our paper “Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale” is accepted by USENIX ATC (CCF-A)!

  • 04/2023 Our paper “Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys” is accepted by TKDE (CCF-A)!

  • 04/2023 I received “2023 Outstanding Alibaba Innovative Research Program Award” (获得阿里巴巴优秀学术合作项目奖)!

  • 12/2022 Our paper “Efficient, Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud” received the Best Paper Award of the 24th IEEE HPCC!

  • 12/2022 I received “IEEE TCSC Award for Excellence in Scalable Computing (Early Career Researcher)” (获得 IEEE 可扩展计算委员会优秀青年学者奖)!

  • 12/2022 Our paper “Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression” is accepted by INFOCOM 2023 (CCF-A)!

  • 11/2022 Supervising students winning the silver prize of the 8th China International College Students’ 'Internet+’ Innovation and Entrepreneurship Competition! (指导吴侗雨、李猛、王书麟等同学获得第八届中国国际“互联网+”大学生创新创业大赛全国银奖、江苏赛一等奖)!

  • 05/2022 I received May 4th Youth Medal in Nanjing University (南京大学青年五四奖章) in 2022 !

  • 04/2022 Our paper “Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems” is accepted by USENIX ATC 2022 (CCF-A)!

  • 02/2022 Our paper “Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs” is accepted by IEEE ICDE 2022 (CCF-A)!

Selected Recent Publications

  1. [VLDB'23]ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation. (VLDB, CCF-A), 2023.

  2. [ATC'23]Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale. (USENIX ATC, CCF-A), 2023.

  3. [EuroSys'24]Wormhole Filters: Caching Your Hash on Persistent Memory. (EuroSys, CCF-A), 2024.

  4. [KDD'24]ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes. (KDD, CCF-A), to appear, 2024.

  5. [TPDS'23]High-level Data Abstraction and Elastic Data Caching for Data-intensive AI Applications on Cloud-native Platforms. (IEEE TPDS, CCF-A), 2023.

  6. [TKDE'23]Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys. (IEEE TKDE, CCF-A), 2023.

  7. [ToN'24]Fluid-Shuttle: Efficient Cloud Data Transmission based on Serverless Computing Compression. (ACM/IEEE ToN, CCF-A), 2024.

  8. [INFOCOM'24]The Reinforcement Cuckoo Filter. (IEEE INFOCOM, CCF-A), to appear, 2024.

  9. [INFOCOM'23]Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. (IEEE INFOCOM, CCF-A), 2023.

  10. [ATC'22]Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems. (USENIX ATC, CCF-A), 2022.

  11. [ICDE'22]Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. (IEEE ICDE, CCF-A), 2022.

  12. [TPDS'22]Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters. (IEEE TPDS, CCF-A), 2022.

  13. [ICDE'22]Bamboo Filters: Make Resizing Smooth. (IEEE ICDE, CCF-A), pp. 979-991, 2022.

  14. [HPCC'22, Best Paper Award]Efficient, Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud. (IEEE HPCC, CCF-C), 2022.

  15. [VLDBJ'22]A Pareto Optimal Bloom Filter Family with Hash Adaptivity (VLDB Journal, CCF-A), 2022.

  16. [WWW'22]Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering (WWW, CCF-A), 2022.

  17. [TPDS'18]Penguin: Efficient Query-based Framework for Replaying Large Scale Historical Data. (IEEE TPDS, CCF-A), 2018.

  18. [TPDS'17]Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. (IEEE TPDS, CCF-A), 2017.

  19. [ToN'23]SAFE: Service Availability via Failure Elimination Through VNF Scaling. (ACM/IEEE ToN, CCF-A), 2023.

  20. [ToN'24]A Generic Framework for Finding Special Quadratic Elements in Data Streams. (ACM/IEEE ToN, CCF-A), 2024.

  21. [ToN'24]Bamboo Filters: Make Resizing Smooth (Journal Version). (ACM/IEEE ToN, CCF-A), 2024.

  22. [TKDE'24]A Survey of Multi-dimensional Indexes: Past and Future Trends. (IEEE TKDE, CCF-A), 2024.

  23. [ICDE'21]Hash Adaptive Bloom Filter. (IEEE ICDE, CCF-A), 2021.

  24. [ICDE'19]BENU: Distributed Subgraph Enumeration With Backtracking-based Framework. (IEEE ICDE, CCF-A), 2019.

  25. [TPDS'21]Towards Efficient Large-scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. (IEEE TPDS, CCF-A), 2021.

  26. [TPDS'21]Towards Efficient Distributed SubgraphEnumeration via Backtracking-based Framework. (IEEE TPDS, CCF-A), 2021.

  27. [TPDS'19]Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms. (IEEE TPDS, CCF-A), 2019.

  28. [TMC'24]Joint Deployment of Truck-drone Systems for Camera-based Object Monitoring. (IEEE TMC, CCF-A), 2024.

  29. [TMC'23]Placing Wireless Chargers with Multiple Antenna. (IEEE TMC, CCF-A), 2023.

  30. [TMC'22]Placing Wireless Chargers with Limited Mobility. (IEEE TMC, CCF-A), 2022.

See more info of my publications