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

代表性论文：

1. Rong Gu, Zhiqiang Zuo*, Xi Jiang, Han Yin, Zhaokang Wang, Linzhang Wang, Xuandong Li, and Yihua Huang*. Towards Efficient Large-scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS, CCF-A). Vol.32(4), 2021, pp. 867-883.

2. Rong Gu, Zhixiang Zhang, ZhihaoXu, ZhaokangWang, Kai Zhang, ChunfengYuan, Yihua Huang*. Alchemy: Distributed Financial Quantitative Analysis System with High-level Programming Model. Software: Practice and Experience (SPE, CCF-B). Accpeted on April, 2021.

3. Rong Gu, Chongjie Li, Haipeng Dai, Yili Luo, Xiaolong Xu, Shaohua Wan, Yihua Huang*. Improving In-Memory File System Reading Performance by Fine-Grained User-Space Cache Mechanisms. Journal of Systems Architecture (JSA, CCF-B). Accpeted on December, 2020.

4.Rong Gu, Chongjie Li, Peng Shu, Chunfeng Yuan, Yihua Huang. Adaptive Cache Policy Scheduling for Big Data Applications on Distributed Tiered Storage System. Concurrency and Computation: Practice and Experience.(Concurr Comp-Parct) Vol.31(15), 2019, pp. 1-25.

5. Rong Gu, Yufa Zhou, Zhaokang Wang, Chunfeng Yuan, and Yihua Huang. Penguin: Efficient Query-based Framework for Replaying Large Scale Historical Data. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS, CCF-A). Vol.29(10), 2018, pp. 2333-2345.

6. Rong Gu, Yun Tang, Chen Tian, Hucheng Zhou, Guanru Li, Xudong Zheng, and Yihua Huang. Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS, CCF-A). Vol.28(9), 2017, pp. 2539-2552.

7. Rong Gu, Shanyong Wang, Fangfang Wang, Chunfeng Yuan, Yihua Huang. Cichlid: Efficient Large Scale RDFS/OWL Reasoning with Spark. Proc. of the IEEE 29th International Parallel & Distributed Processing Symposium (IEEE IPDPS, CCF-B), pp. 700 - 709, Hyderabad, India, May. 25-29, 2015.(acceptance rate: 21.8%)

8.Rong Gu, Xiaoliang Yang, Jinshuang Yan, Yuanhao Sun, Bing Wang, Chunfeng Yuan, and Yihua Huang. SHadoop: Improving MapReduce Performance By Optimizing Job Execution Mechanism in Hadoop Clusters. Journal of Parallel and Distributed Computing (JPDC, CCF-B). Vol.74(3), 2014, pp. 2166-2179.