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个人简介

教育背景 学士, 北京邮电大学, 中国, 2012 博士, 清华大学, 中国, 2017 Experience 2017 ~ 2022 Chief Algorithm Expert, Head of Sangfor Innovation Institute @ Sangfor Innovation Institute 2017 Tsinghua University Computer Science & Technology Ph.D. 2008 Beijing University of Posts and Telecommunications Computer Science & Technology B.S. Honors SIG member of the openGauss community VirusTotal += Sangfor Engine Zero IEEE Technical Committee on Scalable Computing (TCSC) Award for Excellence (Outstanding Ph.D Thesis) 2018 2018 ACM China Council SIGOPS Chapter Doctoral Dissertation Award Supported by Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 61802219) Supported by China Postdoctoral Science Foundation (Grant No. 2018M630162) 研究概况 主要在计算机系统机构领域开展创新性和实用性相结合的研究工作,提出了系列新思路和新方法,相关成果在包括 OSDI、SOSP、ASPLOS、HPCA、FSE、VLDB、ATC、EuroSys 等国际顶级会议和期刊上发表论文二十余篇。曾获ACM SIGSOFT 杰出论文奖,IEEE TCSC、ACM SIGOPS等组织颁发的优秀博士毕业论文奖。获得国家自然科学基金青年科学基金及博士后基金一等项目资助。博士毕业后进入清华大学与深信服联合培养的博士后计划,负责创新业务孵化,担任深信服首席算法技术专家,后任职创新研究院院长。2022年加入清华大学计算机系高性能所,任职教研系列助理教授

研究领域

并行与分布式处理

近期论文

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NosWalker: A Decoupled Architecture for Out-of-Core Random Walk Processing Shuke Wang, MingXing Zhang, Ke Yang , Kang Chen, Shaonan Ma, Jinlei Jiang, Yongwei Wu 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2023) Achieving Sub-second Pairwise Query over Evolving Graphs Hongtao Chen*, Mingxing Zhang*, Ke Yang, Kang Chen, Albert Zomaya, Yongwei Wu, Xuehai Qian (* equally contributed) 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2023) 3-D Partitioning for Large-scale Graph Processing Xue Li, Mingxing Zhang, Kang Chen, Yongwei Wu, Xuehai Qian, Weimin Zheng IEEE Transactions on Computers (TC), 2020. AsymNVM: AnEfficient Framework for Implementing Persistent Data Structures on Asymmetric NVM Architecture Teng Ma, Mingxing Zhang, Kang Chen, Zhuo Song, Yongwei Wu, Xuehai Qian 24th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2020) Research on Efficient Large-scale Graph Data Processing Technologies Mingxing Zhang Thesis and published by Tsinghua University Press GraphQ: Scalable PIM-Based Graph Processing Youwei Zhuo, Chao Wang, Mingxing Zhang, Rui Wang, Dimin Niu, Yanzhi Wang, Xuehai Qian 52nd IEEE/ACM International Symposium on Microarchitecture (MICRO 2019) KnightKing: A Fast Distributed Graph Random Walk Engine Ke Yang, MingXing Zhang, Kang Chen, Xiaosong Ma, Yang Bai, Yong Jiang 27th ACM Symposium on Operating Systems Principles (SOSP 2019) RF-RPC: Remote Fetching RPC Paradigm for RDMA-Enabled Network Yongwei Wu, Teng Ma, Maomeng Su, Mingxing Zhang, Kang Chen, Zhenyu Guo, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019, Vol. 30, Issue 7, pp. 1657-1671 CLIP: A Disk I/O Focused Parallel Out-of-core Graph Processing System Zhiyuan Ai*, Mingxing Zhang*, Yongwei Wu, Xuehai Qian, Kang Chen, Weimin Zheng (* equally contributed) IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019, Vol. 30, Issue 1, pp. 45-62 ReGraph: A Graph Processing Framework that Alternately Shrinks and Repartitions the Graph Xue Li*, Mingxing Zhang*, Kang Chen, Yongwei Wu (* equally contributed), 32nd ACM International Conference on Supercomputing (ICS 2018) Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System Mingxing Zhang, Yongwei Wu, Youwei Zhuo, Xuehai Qian, Chenyin Huan, Kang Chen, 23rd Architectural Support for Programming Languages and Operating Systems (ASPLOS 2018) GraphP: Reducing Communication of PIM-based Graph Processing with Efficient Data Partition Mingxing Zhang*, Youwei Zhuo*, Chao Wang, Mingyu Gao, Yongwei Wu, Kang Chen, Christos Kozyrakis, Xuehai Qian (* equally contributed), 24th IEEE International Symposium on High-Performance Computer Architecture (HPCA 2018) DudeTx: Durable Transactions Made Decoupled Mengxing Liu*, Mingxing Zhang*, Kang Chen, Xuehai Qian, Yongwei Wu, Weimin Zheng, Jinglei Ren, (* equally contributed) ACM Transactions on Storage (ToS), 2018, Vol. 14, Issue 1, pp. 7:1-7:28 Squeezing out All the Value of Loaded Data: An Out-of-core Graph Processing System with Reduced Disk I/O Zhiyuan Ai*, Mingxing Zhang*, Yongwei Wu, Xuehai Qian, Kang Chen, Weimin Zheng (* co-first author) , 2017 USENIX Annual Technical Conference (ATC 2017) RFP: When RPC is Faster than Server-Bypass with RDMA Maomeng Su, Mingxing Zhang, Kang Chen, Zhenyu Guo, Yongwei Wu, 12th European Conference on Computer Systems Systems (EuroSys 2017) High Performance Graph Processing with Locality Oriented Design Pin Gao, Mingxing Zhang, Kang Chen, Yongwei Wu, Weimin Zheng, IEEE Transactions on Computers (ToC), 2017, Vol. 66, Issue 7, pp.1261-1267 DudeTM: Building Durable Transactions with Decoupling for Persistent Memory Mengxing Liu*, Mingxing Zhang*, Kang Chen, Xuehai Qian, Yongwei Wu, Weimin Zheng, Jinglei Ren (* equally contributed), 22nd Architectural Support for Programming Languages and Operating Systems (ASPLOS 2017) Exploring the Hidden Dimension in Graph Processing Mingxing Zhang, Yongwei Wu, Kang Chen, Xuehai Qian, Xue Li and Weimin Zheng, 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2016) Measuring and Optimizing Distributed Array Programs Mingxing Zhang, Yongwei Wu, Kang Chen, Teng Ma, Weimin Zheng, 42nd International Conference on Very Large Data Bases (VLDB 2016) A Lightweight System for Detecting and Tolerating Concurrency Bugs Mingxing Zhang, Yongwei Wu, Shan Lu, Shanxiang Qi, Jinglei Ren, and Weimin Zheng, IEEE Transactions on Software Engineering (TSE), 2016, Vol. 42, Issue 10, pp.899-917 What is Wrong With the Transmission? — A Comprehensive Study on Message Passing Related Bugs Mingxing Zhang, Yongwei Wu, Kang Chen, Weimin Zheng, 44th International Conference on Parallel Processing (ICPP 2015) AI: A Lightweight System for Tolerating Concurrency Bugs (ACM SIGSOFT 2014 Distinguished Paper Award) Mingxing ZHANG, Yongwei WU, Shan LU, Shangxiang QI, Jinglei REN, Weimin ZHENG, 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE 2014)

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