ZHANG, Mingxing Postdoc Researcher @ Graduate School at Shenzhen, Tsinghua University Chief Algorithm Expert @ Sangfor Innovation Institute Email: zhang.mingxing(at)outlook.com [ Education | Honors | Publications ]

I'm currently a Postdoc Researcher (assistant researcher) of Graduate School at Shenzhen, Tsinghua University. Simultaneously, I'm also the Chief Algorithm Expert of Sangfor Innovation Institute. I'm interested in building systems for supporting data analyzing algorithms and designing new analyzing algorithm if it does not exist yet. My current research focuses on abnormal detection, especially in fields like cloud management and cyber security.

Sangfor Technologies is a leading vendor of enterprise-level network security and private cloud. As an excellent employer of China elected by the FORTUNE magazine, we are contiguously hiring and soliciting external collaborations. Please contact me if you are interested.

Education

• 2017 Tsinghua University Computer Science & Technology Ph.D.
• 2008 Beijing University of Posts and Telecommunications Computer Science & Technology B.S.

Honors

• IEEE Technical Committee on Scalable Computing (TCSC) Award for Excellence (Outstanding Ph.D Thesis) 2018.
• 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).

Selected Publications

2018

• 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), 2018
  
• 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), 2018
  
• 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), January 2018
  

2017

• 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 (*: Equally contributed),
  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
  
• 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)
  

2016

• 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
  

2015

• 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)
  

2014

• 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)