金嘉晖 - 东南大学

个人简介

金嘉晖，博士，东南大学计算机科学与工程学院副教授，硕士生导师。2015年毕业于东南大学计算机应用技术专业，师从罗军舟教授，2016年4月加入东南大学，2019年破格晋升副教授。在读博期间（2012年8月-2014年8月），受国家留学基金委资助，在美国马萨诸塞大学阿默斯特分校MNIL实验室(Multimedia Networking & Internet Lab)从事分布式计算与大数据处理方向研究，合作导师为Lixin Gao教授（IEEE Fellow，ACM Fellow）。目前主持国家自然科学青年基金1项，江苏省自然科学基金1项，参与多项国家重点研发计划、国家自然基金重点项目、国家自然基金面上项目。从博士期间起，参加诺贝尔奖得主丁肇中教授领衔的AMS02实验，参与研发了面向AMS科学大数据的分布式计算平台。在TPDS和WWW等国内外期刊会议发表了十余篇学术论文。曾获得2014并行与分布式系统国际会议（ICPADS 14）最佳论文候选奖、2016年ACM中国南京分会优秀博士论文奖。我所在的云计算与大数据研究组隶属于网络与信息集成教育部重点实验室、江苏省网络与信息安全重点实验室。团队拥有一批有活力、有朝气、有经验的老师。欢迎希望从事大数据查询、大数据挖掘、分布式机器学习研究的同学报考我的硕士研究生！（发送个人简历、项目经历和文章列表到我的邮箱）（2020年还有名额，请点击下面主页链接查询相关信息） English Version BIOGRAPHY Dr. Jiahui Jin is an associate professor in School of Computer Science and Engineering at Southeast University, China. He received the Ph.D. degree from Southeast University in 2015, supervised by Professor Junzhou Luo. During his Ph.D. study from Aug. 2012 to Aug. 2014, he had spent two years working in Multimedia Networking & Internet Lab (MNIL) at University of Massachusetts Amherst as a visiting Ph.D. student with Professor Lixin Gao (IEEE Fellow, ACM Fellow). I am looking for highly motivated and self-driven master students, who are interested in developing distributed systems for query processing, data mining, and machine learning.

研究领域

Big Data. Distributed Data Processing, Crowd Sourcing Cloud Computing. Virtual Machine, Data Center Networking Knowledge Graph. Querying, Subgraph Matching

近期论文

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Conference Paper Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan. Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs, in Proceedings of 36th IEEE International Conference on Data Engineering (ICDE), 2020. (CCF Rank A) Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Junzhou Luo, Wenxin Li, Zhiang Wu. MBECN: Enabling ECN with Micro-burst Traffic in Multi-queue Data Center, in Proceedings of 2019 IEEE International Conference on Cluster Computing (CLUSTER), 2019. (CCF Rank B) Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Runqun Xiong, Junzhou Luo. QAECN: Dynamically Tuning ECN Threshold with Micro-burst in Multi-queue Data Centers, in Proceedings of 23rd IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2019. (CCF Rank C) Yunhao Li, Jiahui Jin, Runqun Xiong, Junzhou Luo. A Distributed Approach for Constructing Generalized Suffix Tree on Spark by Using Optimized Elastic Range Algorithm. in Proceedings of Fifth International Conference on Advanced Cloud and Big Data (CBD), 2017. Yunhao Li, Junzhou Luo, Jiahui Jin, Runqun Xiong, Fang Dong. An Effective Model for Edge-Side Collaborative Storage in Data-Intensive Edge Computing. in Proceedings of 23rd IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2019. (CCF Rank C) Yao Du, Runqun Xiong, Jiahui Jin, Junzhou Luo. A Cost-Efficient Data Placement Algorithm with High Reliability in Hadoop. in Proceedings of Fifth International Conference on Advanced Cloud and Big Data (CBD), 2017. Jiyuan Shi, Fang Dong, Jinghui Zhang, Jiahui Jin, Junzhou Luo. Resource Provisioning Optimization for Service Hosting on Cloud Platform. in Proceedings of 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2016. (CCF Rank C) Jiahui Jin, Samamon Khemmarat, Lixin Gao, Junzhou Luo. Querying Web-Scale Information Networks Through Bounding Matching Scores, in Proceedings of the 24th International Conference on World Wide Web (WWW), 2015. (CCF Rank A, acceptance rate of 14.1%) Junxue Zhang, Fang Dong, Dian Shen, Jiahui Jin, Junzhou Luo. Superblock: An Application-Aware Dynamic Partition Strategy for Large-Scale Graph. in Proceedings of Fourth International Conference on Advanced Cloud and Big Data (CBD), 2015. Jiahui Jin, Samamon Khemmarat, Lixin Gao, Junzhou Luo. A Distributed Approach for Top-k Star Queries on Massive Information Networks, in Proceedingss of 20th IEEE International Conference on Parallel and Distributed Systems （ICPADS), 2014. (CCF Rank C, Best Paper Candidate 4 out of 322) Yuxiang Wang, Junzhou Luo, Aibo Song, Jiahui Jin, Fang Dong. Improving Online Aggregation Performance for Skewed Data Distribution. in Proceedings of the 17th international conference on Database Systems for Advanced Applications (DASFAA), 2012. (CCF Rank B) Fang Dong, Junzhou Luo, Jiahui Jin, Yanhao Wang, Yanmin Zhu. Performance evaluation and analysis of SEU Cloud Computing Platform - Using general benchmarks and real world AMS application, in Proceedings of 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012. Jiahui Jin, Junzhou Luo, Aibo Song, Fang Dong, Runqun Xiong. An Efficient Data Locality Driven Task Scheduling Algorithm for Cloud Computing. in Proceedings of 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2011. (CCF Rank C) Fang Dong, Junzhou Luo, Aibo Song, Jiahui Jin. Resource Load Based Stochastic DAGs Scheduling Mechanism for Grid Environment, in Proceedings of IEEE 12th International Conference on High Performance Computing and Communications (HPCC), 2010. (CCF Rank C) Journal Paper Jiahui Jin, Junzhou Luo, Mingyang Du, Yongcheng Dang, Feng Li, Jinghui Zhang, Aibo Song. A data-locality-aware task scheduler for distributed social graph queries. Future Generation Comp. Syst. (FGCS), 2019. (CCF Rank C, JCR 1) Jiahui Jin, Junzhou Luo, Samamon Khemmarat, Fang Dong, Lixin Gao. GStar: an efficient framework for answering top-k star queries on billion-node knowledge graphs. World Wide Web （WWWJ）, 2019. (CCF Rank B) Dian Shen, Luo Junzhou, Fang Dong, Jiahui Jin, Junxue Zhang, Jun Shen Facilitating Application-aware Bandwidth Allocation in the Cloud with One-step-ahead Traffic Information. IEEE Transactions on Services Computing （TSC）, 2019. (CCF Rank B, Early Access Article) Feng Shan, Junzhou Luo, Jiahui Jin, Weiwei Wu. Offloading Delay Constrained Transparent Computing Tasks With Energy-Efficient Transmission Power Scheduling in Wireless IoT Environment. IEEE Internet of Things Journal, 2019. (JCR 1) Jinghui Zhang, Jian Chen, Jun Zhan, Jiahui Jin, Aibo Song. Graph partition-based data and task co-scheduling of scientific workflow in geo-distributed datacenters. Concurrency and Computation: Practice and Experience (CCPE), 2019. (CCF Rank C) Jiahui Jin, Yunhao Li, Junzhou Luo. Cooperative storage by exploiting graph-based data placement algorithm for edge computing environment. Concurrency and Computation: Practice and Experience (CCPE), 2018. (CCF Rank C) Jiyuan Shi, Junzhou Luo, Fang Dong, Jiahui Jin, Jun Shen. Fast multi-resource allocation with patterns in large scale cloud data center. J. Comput. Science, 2018. Jiahui Jin, Junzhou Luo, Samamon Khemmarat, Lixin Gao. Querying Web-Scale Knowledge Graphs Through Effective Pruning of Search Space, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017. (CCF Rank A) Junzhou Luo, Jiahui Jin, Feng Shan. Standardization of Low-Latency TCP with Explicit Congestion Notification: A Survey. IEEE Internet Computing (IC), 2017. Fang Dong, Junzhou Luo, Jiahui Jin, Jiyuan Shi, Ye Yang, Jun Shen Accelerating skycube computation with partial and parallel processing for service selection. IEEE Transactions on Services Computing （TSC）, 2017 (CCF Rank B, Early Access Article) Fang Dong, Junxue Zhang, Junzhou Luo, Dian Shen, Jiahui Jin. Enabling application-aware flexible graph partition mechanism for parallel graph processing systems. Concurrency and Computation: Practice and Experience (CCPE), 2017. (CCF Rank C) Bo Liu, Junzhou Luo, Feng Shan, Wei Li, Jiahui Jin, Xiaojun Shen. On Finding Maximum Disjoint Paths for Many-to-One Routing in Wireless Multi-Hop Network. IEICE Transactions on Information and Systems, 2014.