Computer Science Researcher
minjiy@cs.cmu.edu
[Curriculum Vitae]
Research Interest: Graph Mining, Machine Learning, Social Network Analysis, Stream Mining
I am a PhD student in Computer Science Department at Carnegie Mellon University. I am very fortunate to be advised by Prof. Christos Faloutsos. Before that, I was a software developer in SAP Labs Korea. I received M.S. in Computer Science, under Prof. Jehee Lee, and B.S. in Electronic Engineering at Seoul National University.
Proposed an algorithm computing RWR scores approximately. The proposed algorithm outperforms other state-of-the-art methods in terms of speed and memory efficiency while maintaining high accuracy. I contributed as the first author for a paper accepted in ICDE’18.
Proposed an algorithm computing RWR efficiently in time-evolving graphs. The proposed algorithm is the first method that guarantees its exactness on RWR scores on dynamic graphs. The proposed algorithm outperforms previous state-of-the-art dynamic RWR methods. I contributed as the first author for a paper accepted in WWW’18.
Proposed an algorithm generalizing matrix-vector multiplication on distributed systems. The proposed algorithm achieves superior scalability than previous graph mining methods. I contributed as co-author for a paper submitted to WSDM’18.
Proposed Question Answering system which retrieves a correct answer for a given question asked in natural language on any topic. Given several answer candidates, re-ranking module in the system ranks the candidates using Neural Tensor Network. This project is supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP).
Active/Active configuration prepares data in memory for read access in an additional ‘hot standby’ SAP HANA database (a.k.a. the secondary SAP HANA database). Customer could operate two SAP HANA databases. This feature is offered from SAP S/4HANA 1610, FPS01 and SAP HANA 2.0, SPS01. I contributed as co-inventor for two US patents (See Patent above).
SAP HANA Capture and Replay captures all incoming SQL statements at the session layer of the SAP HANA database and replays it in the new SAP HANA software to ensure the solution still works correctly. It reduces testing challenges by recording workload instead of developing it. SAP HANA Capture and Replay is offered from SAP HANA SPS12.
Session layer serves as the front-end of SAP HANA database performing thread handling, resource allocation and packet encoding/decoding. EAPI layer is located between Session and SQL layers, and manages connections, statements and transactions which are involved in SQL execution.
Manipulating characters’ motion whose body structures and motion patters are different from those of human in real time by human’s motion. I contributed as the first author for a paper submitted to KCGS’14.
Generating a random crowd simulation in real time using motion data with characters and environments that interact with each other. It generates a random crowd simulation of virtual characters interacting with each other in a non-trivial manner using bunch of raw motion data. I contributed as the first author for a paper submitted to KSPE’13.
