来源：
https://mogami95.github.io/---------------------------------------------------
Mogami95.github.ioMiao (Mogami) LIU
Personal Email: miaoliu95@acm.org
Mailing Address: Block A, North Star Century Center, Chaoyang District, Beijing, P.R. China
Looking for my next PhD offer
It ’ s worth it!
Short Bio
This is Mr. Miao LIU, currently a software engineer in
JD.com. Before
JD.com, I fortunately worked with Prof. James Cheng and PhD Candidate Hongzhi Chen in the Husky Data Lab, dept CSE, CUHK. I received my B.Eng. degree from Shenzhen University with the outstanding graduate honor long before, under the supervision of Prof. Weike Pan who always gives me millions of encouragement and belief.
Research & Work Interests
Distributed Computing & Large Scale Graph Processing System
Recommendation System Engineering
Linux backend C++ System
Education
B.Eng: Sept 2013 - Jun 2017, Software Engineering, Shenzhen University, P.R. China
GPA: 3.63/4, Ranking: 5%
Research & Work Experiences
Feb 2018 - Present: Software Engineer,
JD.comProject: Item indexing and online searching services
Jan 2017 - Feb 2018: Research Assistant, Department of Computer Science and Engineering, The Chinese University of Hong Kong
Advisor: Prof. James Cheng
Research Project: Large-scale distributed graph processing systems
Jul 2015 - Dec 2016: Undergraduate Research Assistant, Big Data Institute, Shenzhen University
Advisor: Prof. Weike Pan
Research Project: Implementations and extensions of recommendation algorithms
Publications
G-Miner: An Efficient Task-Oriented Graph Mining System
Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da Yan and James Cheng
ACM European Conference on Computer Systems 2018 (EuroSys ’ 18) [C].
paper, system
GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit
Da Yan, Yuzhen Huang, Miao Liu, Hongzhi Chen, James Cheng, Huanhuan Wu and Chengcui Zhang
IEEE Transactions on Parallel and Distributed Systems (TPDS ’ 18) [J].
paper, system
Mixed Similarity Learning for Recommendation with Implicit Feedback
Mengsi Liu, Weike Pan, Miao Liu, Yaofeng Chen, Xiaogang Peng and Zhong Ming
Elsevier Knowledge-Based Systems (KBS ’ 17) [J].
paper
Hybrid One-Class Collaborative Filtering for Job Recommendation
Miao Liu, Zijie Zeng and Weike Pan
Springer SmartCom 2016 (SmartCom ’ 16) [C].
paper
Academic Honors and Awards
Jun 2017 - Outstanding Graduate of Shenzhen University
Dec 2016 - Excellent Student of Academic Performance (1st Prize), Shenzhen University
Jun 2016 - RecSys 2016 job recommendation challenge, ranked 32nd
Dec 2014 - Excellent Student of Academic Performance (1st Prize), Shenzhen University
Professional Skills
Languages: Chinese (native or bilingual proficiency), English (professional proficiency)
Programming Languages: C++
C++11 Multi-threading (distributed environment), STL and template programming
MPI (message passing interface), message protocol & implementation
CentOS, HDFS & its C++ API, Linux Shell & system API, makefile & cmake
Open-source graph mining projects (e.g. Pregel+, Powergraph, Giraph), paper & implementation
Frequently-used recommendation system algorithms, paper & implementation
Hdfs, yarn, spark: building, programming, fault & log analysis
Know: petuum parameter server (distributed machine learning system), RDMA (remote direct memory access), etc.
Academic Referees
Prof. James Cheng, The Chinese University of Hong Kong
Prof. Weike Pan, Shenzhen University
Last updated: Sept. 22nd, 2018