基本情况

顾荣，南京大学计算机系副研究员

主要经历

2016年博士毕业于南京大学，主持国家自然科学基金面上项目/青年项目、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，以及阿里巴巴、百度、字节跳动、中国石化、华泰证券等企业创新研究基金项目等多项，并已在 TPDS、ICDE、IPDPS、ICPP 等领域前沿期刊会议发表论文30余篇

获奖经历

获 2018 年度江苏省科学技术一等奖、2019 年度江苏省计算机学会青年科技奖

研究方向

大数据处理、分布式机器学习、数据库 

论文发表

  1. ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation. (VLDB, CCF-A), 2023.
  2. Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale. (USENIX ATC, CCF-A), 2023.
  3. Wormhole Filters: Caching Your Hash on Persistent Memory. (EuroSys, CCF-A), 2024.
  4. An Active-tuning Learned Index with Group-Wise Learning Granularity. (SIGMOD, CCF-A), to appear, 2025.
  5. ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes. (KDD, CCF-A), 2024.
  6. High-level Data Abstraction and Elastic Data Caching for Data-intensive AI Applications on Cloud-native Platforms. (IEEE TPDS, CCF-A), 2023.
  7. Seesaw Counting Filter: A Dynamic Filtering Framework for Vulnerable Negative Keys. (IEEE TKDE, CCF-A), 2023.
  8. Fluid-Shuttle: Efficient Cloud Data Transmission based on Serverless Computing Compression. (ACM/IEEE ToN, CCF-A), 2024.
  9. The Reinforcement Cuckoo Filter. (IEEE INFOCOM, CCF-A), to appear, 2024.
  10. Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. (IEEE INFOCOM, CCF-A), 2023.
  11. Meces: Latency-efficient Rescaling via Prioritized State Migration for Stateful Distributed Stream Processing Systems. (USENIX ATC, CCF-A), 2022.
  12. Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. (IEEE ICDE, CCF-A), 2022.
  13. Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters. (IEEE TPDS, CCF-A), 2022.
  14. Bamboo Filters: Make Resizing Smooth. (IEEE ICDE, CCF-A), pp. 979-991, 2022.
  15. Efficient, Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud. (IEEE HPCC, CCF-C), 2022.
  16. A Pareto Optimal Bloom Filter Family with Hash Adaptivity (VLDB Journal, CCF-A), 2022.
  17. Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering (WWW, CCF-A), 2022.
  18. Penguin: Efficient Query-based Framework for Replaying Large Scale Historical Data. (IEEE TPDS, CCF-A), 2018.
  19. Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. (IEEE TPDS, CCF-A), 2017.
  20. SAFE: Service Availability via Failure Elimination Through VNF Scaling. (ACM/IEEE ToN, CCF-A), 2023.
  21. A Generic Framework for Finding Special Quadratic Elements in Data Streams. (ACM/IEEE ToN, CCF-A), 2024.
  22. Bamboo Filters: Make Resizing Smooth (Journal Version). (ACM/IEEE ToN, CCF-A), 2024.
  23. A Survey of Multi-dimensional Indexes: Past and Future Trends. (IEEE TKDE, CCF-A), 2024.