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张蓉

教授教授, 博导

数据科学与工程学院      

个人资料

  • 部门: 数据科学与工程学院
  • 毕业院校: 复旦大学
  • 学位: 博士
  • 学历: 博士研究生
  • 邮编: 200062
  • 联系电话: 021-62235112
  • 传真:
  • 电子邮箱: rzhang@dase.ecnu.edu.cn
  • 办公地址: 地理馆317
  • 通讯地址: 中山北路3663号,华东师范大学,数据科学与工程学院

教育经历

工作经历

2007年在复旦大学获得计算机博士学位;

2007.9-2011.1 资深研究员,情报通信研究机构(NICT),日本京都;

2011.3 - 教授、博导,华东师范大学。


个人简介

张蓉,教授。2007年在复旦大学获得计算机博士学位。在2011年加入华东师范大学之前,以资深研究员的身份就职于日本情报通信研究所。研究兴趣主要包括分布式数据管理,数据库基准评测,数据流管理等。主持多项国家自然科学基金,主持多项企业合作项目;已出版英文专著一部、编撰《云原生数据库:原理与实践》、参与翻译《海量数据分析前沿》和《Hadoop权威指南》(第2版和第3版);发表论文60余篇,其中多篇获得优秀论文奖,包括APWEB最佳论文奖,WAIM最佳论文提名奖等;科研成果获得国家科技进步二等奖(第六完成人)、上海市科技进步一等奖(第四完成人)、上海市青年教师教学竞赛优秀奖等。


社会兼职

Activities:

  • 2016: WAIM'2016 Demo Chair

  • 2015: APWEB'2015 Demo Co-chair

  • 2012: WWW'2012,CIKM'2012,VLDB Summer School

  • 2011: DASFAA’2011, EMNLP'2011

  • 2010: DASFAA'2010, WAIM'2010, IUCS’2010,NDBC’2010



研究方向

  • Database Benchmarking: benchmark design; Performance Evaluation; Query Optimization;

  • Distributed Data Processing: distributed data indexing; load balance; query processing;

  • Information Retrieval in Ecommerce: product recommendation; production search; spammer detection;

  • Web Service Management: web service search;web service indexing; web service organization;

  • Massive Data Management: online query processing; column-wise data storage management; data consistency management.


招生与培养

开授课程

  • 数据结构与算法;

  • 信息检索;

  • 自然语言处理;

  • 推荐系统;

科研项目

  • 支持技术创新的海量数据管理基础理论与关键技术

  • CCF-华为数据库创新研究计划

  • 2020年关键软件适配验证中心项目

  • HTAP数据库性能自动化测试技术研究

  • 面向OLTP数据库的功能测试合作项目

  • 面向场景的数据库评测负载生成关键技术

  • 基于 TiDB 的业务负载生成方法研究

  • 交通银行分布式数据库联合技术研发

  • PSPU海量数据处理技术合作

  • 面向产权知识文献的海量数据管理并行架构研究

  • 支持WEB服务搜索的情境数据管理

学术成果

Publications:

Journal Papers:

  • Wang Qingshuai, Yuming Li, Rong Zhang*, Ke Shu, Zhenjie Zhang, and Aoying Zhou.  A Scalable Query-Aware Enormous Database Generator for Database Evaluation. IEEE Transactions on Knowledge and Data Engineering (TKDE 2022).

  • Qu, L., Wang, Q., Chen, T., Li, K., Zhang, R.*, Zhou, X., Xu, Q., Yang, Z., Yang, C., Qian, W. and Zhou, A.. Are current benchmarks adequate to evaluate distributed transactional databases?. BenchCouncil Transactions on Benchmarks, Standards and Evaluations (2022).

  • JH Fang,R Zhang,Y Zhao,K Zheng, XF Zhou, AY Zhou:ADSP: An Adaptive Join Algorithm for Dynamic Data Stream on Cloud System. TKDE (2019). 

  • JH Fang, PF Chao, R Zhang, XF Zhou: Integrating workload balancing and fault tolerance in distributed stream processing system. WWWJ(2019).

  • ChunxiZhang, YumingLi, Rong Zhang*, Weining Qian, AoyingZhou. Benchmarking on Intensive Transaction Processing, FCS 2019.

  • Fang, Junhua, Rong Zhang*, Tom ZJ Fu, Zhenjie Zhang, Aoying Zhou, and Xiaofang Zhou: Distributed Stream Rebalance for Stateful Operator under Workload Variance. IEEE Transactions on Parallel and Distributed Systems(TPDS), 2018. 

  • Fang J, Zhang R, Wang X, et al. Distributed stream join under workload variance[J]. World Wide Web, 2017: 1-22.

  • Rong Zhang,Ming Gao, Xiaofeng He, Aoying Zhou: Learning usercredibility for product ranking. Knowledge and Information Systems: 2016,46(3):679-705.

  • 俊华,王晓桐,张蓉*,周傲英:分布式数据流上的高性能分发策略。软件学报2016.

  • Rong Zhang, Wenzhe Yu, ChaofengSha, Xiaofeng He, Aoying Zhou: Product-oriented reviewsummarization and scoring. Frontiers of ComputerScience 9(2): 210-223 (2015).

  • Rong Zhang, Wenzhe Yu, Chaofeng Sha, Xiaofeng He, Aoying Zhou. Product-oriented review summarization and scoring. FCS 2015.

  • 余文喆,沙朝锋,何晓丰,张蓉*考虑观点多样性的评论选择问题计算机研究与发展.

  • Rong Zhang, Minqi Zhou, Xueqing Gong, Xiaofeng He, Weining Qian, Shouke Qin, Aoying Zhou,Detecting Anomaly in Data Streams by Fractal Model, World Wild Web Journal, 2014.

  • 王立,张蓉*,沙朝锋,王晓玲,周傲英电子商务商品归一化方法研究计算机学报, 2014. vol(37): 312-325.

  • Rong Zhang, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki, Aoying Zhou. Context-sensitive Web service discovery over the bipartite graph model. Journal of Frontiers of Computer Science. 2013, 7(6): 875–893.

  • 余文喆,张蓉*,王立:电子商务系统中的商品推荐系统。华东师范大学学报。20135(3):46-53.

  • Rong ZhangWeiningQianAoying Zhou, Minqi Zhou: An efficient peer-to-peer indexing tree structure for multidimensional data. Future Generation Comp. Syst. 25(1): 77-88 (2009)

  • Aoying Zhou, Rong ZhangWeiningQianQuangHieu Vu, TianmingHuAdaptive indexing for content-based search in P2P systems. Data Knowl. Eng. 67(3): 381-398 (2008)

  • Rong Zhang, Koji Zettsu, Yutaka KidawaraYasushiKiyokiDecentralized architecture for resource management of group-based distributed systems. Frontiers of Computer Science in China 2(3): 224-233 (2008)

  • 张蓉钱卫宁周傲英一种支持多维数据范围查询 的对等计算索引框架计算机研究与发展. 200904

  • 周傲英周敏奇钱卫宁张蓉大规模分布式系统中的多属性查 询处理计算机学报, vol. 31, no. 9, pp. 1563–1572, 2008.

Conference Papers:

  • Keqiang Li, Siyang Weng, Peiyuan Liu, Lyu Ni, Chengcheng Yang , Rong Zhang*, Xuan Zhou, Jianghang Lou, Gui Huang, Weining Qian, Aoying Zhou. Leopard: A Black-Box Approach for Efficiently Verifying Various Isolation Levels. To appear in ICDE 2023.

  • Lixiang Chen, Ruihao Chen, Chengcheng Yang, Yuxing Han,Rong Zhang, Xuan Zhou, Peiquan Jin, Weining Qian. Workload-Aware Log-Structured Merge Key-Value Store for NVM-SSD Hybrid Storage. To appear in ICDE 2023.

  • Huidong Zhang, Luyi Qu, Qingshuai Wang, Rong Zhang*, Peng Cai, Quanqing Xu, Zhifeng Yang, Chuanhui Yang. Dike: A Benchmark Suite for Distributed Transactional Databases. To appear in SIGMOD 2023.

  • Qu Luyi, Yuming Li, Rong Zhang*, Ting Chen, Ke Shu, Weining Qian, and Aoying Zhou. Application-Oriented Workload Generation for Transactional Database Performance Evaluation. In 2022 IEEE 38th International Conference on Data Engineering (ICDE), pp. 420-432. IEEE, ICDE 2022

  • Xiaolei Zhang, Chunxi Zhang, Yuming Li, Rong Zhang*, Aoying Zhou. Apara: Workload-Aware Data Partition and Replication for Parallel Databases. APWeb/WAIM 2019.

    Yuming Li and Rong Zhang* and Xiaoyan Yang and Zhenjie Zhang and Aoying Zhou: Touchstone: Generating Enormous Query-Aware Test Databases. USENIX Annual Technical Conference (USENIX ATC), 2018.

  • Wang Xiaotong, Cheng Jiang, Junhua Fang, Xiangfeng Wang, Rong Zhang*: AdaptMX: Flexible Join-Matrix Streaming System for Distributed Theta-Joins. DASFAA 2018. 

  • Chunxi Zhang, Yuming Li, Rong Zhang*, Weining Qian, Aoying Zhou. Benchmarking for Transaction Processing Database Systems in Big Data Era, Bench 2018.

  • Fang Junhua,Rong Zhang*, Tom ZJ Fu, Zhenjie Zhang, Aoying Zhou, and Junhua Zhu: Parallel stream processing against workload skewness and variance. HPDC 2017: 15-26.

  • Wang Xiaotong, Junhua Fang, Yuming Li,Rong Zhang*, and Aoying Zhou: Cost-Effective Data Partition for Distributed Stream Processing System. DASFAA 2017: 623-635. 

  • Junhua Fang,RongZhang*,Xiaotong Wang,TomZ.J.Fu,Zhenjie Zhang, Aoying Zhou: Cost-Effective Stream JoinAlgorithm on Cloud System.CIKM2016:1773-1782

  • Junhua Fang, XiaotongWang, RongZhang*, and Aoying Zhou:Flexible and Adaptive Stream JoinAlgorithm.APWeb2016:3-16.

  • YanhongPan,YanfeiZhang,RongZhang*:Combo-RecommendationBasedonPotentialRelevanceofItems.APWeb2016:505-517

  • YifanGao,Yuming Li, Yanhong Pan, Jiali Mao, and RongZhang*:LearningUser Credibility on Aspects from Review Texts.WAIM2016:78-91

  • Rong Zhang,YifanGao, Wenzhe Yu, Pingfu Chao, Xiaoyan Yang, Ming Gao, Aoying Zhou: Review Comment Analysis forPredicting Ratings. WAIM 2015: 247-259.

  • LeiWang, Ming Gao, Rong Zhang*, CheqingJin, AoyingZhou: Computing Probability Threshold Set Similarity on Probabilistic Sets.WAIM 2015: 374-386.

  • Rong Zhang, Zhenjie Zhang, Xiaofeng He, Aoying Zhou. Dish Comment Summarization based on Bilateral Topic Analysis. ICDE 2015.

  • Yifan Gao, Wenzhe Yu, Rong Zhang*, Xiaoyan Yang, Aoying Zhou. A Restaurant Recommendation System by Analyzing Ratings and Aspects in Reviews. DASFAA 2015.

  • Pingfu Chao, Zhu Gao,Yuming Li, Junhua Fang,Rong Zhang*, Aoying Zhou. Efficient MapReduce-based Method for Massive Entity Matching. Waim 2015 (In Press).

  • Pingfu Chao,Yuming Li,Zhu Gao, Junhua Fang,Xiaofeng He,Rong Zhang*. SEMI: A Scalable Entity Matching System based on MapReduce. ADC 2015. (Accepted)

Books:


李飞飞,周烜,蔡鹏,张蓉,黄贵 等著,云原生数据库,2022.


Zhang R, Zhou A, Yu W, et al. Review Comment Analysis for E-commerce[M]. World Scientific, 2016.

Tom White(),周敏奇,王晓玲,金澈清,钱卫宁,宫学庆,张蓉(译). Hadoop 权威指南(第2,3 版) 第十六章“实例分析”. 清华大学出版社,共76 万字,2011.
数据科学与工程院(译),《海量数据分析前沿》(Frontiers in Massive Data Analysis),清华大学出版社.


荣誉及奖励

获奖:

  • 支持互联网级关键核心业务的分布式数据库系统,国家科学技术进步奖二等奖,第六完成人. 2019.

  • 基于云服务的实时分析型内存数据管理系统关键技术及应用,上海市科技进步一等奖,第四完成人. 2017.

  • 青年教师教学竞赛,优秀奖,上海市总工会. 2016.

  • 大数据创新与创业大赛,全国三等奖. 2013.

  • 数据密集型计算技术及其在互联网广告中的应用,国家教育部科技进步二等奖,第十一完成人. 2013.


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