Sungsu Lim
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* Research at CNU (2018 ~ Present): Visit our lab! Data Intelligence Lab

* Research at KAIST (2011 ~ 2016)

​My research focuses on mining and modeling large social and information networks to study their structural properties (e.g., identifying community structure) and behaviors (e.g., analyzing information diffusion).
​For more details, please check my research statement (last updated: Mar. 2018) and the list of publications.
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Structure of Networks
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(Advisor: Jae-Gil Lee)

​- Higher-Order Community Detection in Networks [JSTAT '16] (Qualcomm Innovation Award)
- Community Detection Inspired by Graph Drawing [ICDE '16] (highlighted in KAIST Breakthroughs)
- Community Detection in Multi-Layer Graphs [TIST '17]
- Triangle Counting in Networks [BigComp '15]
- Overlapping Community Detection in Networks [ICDE '14, TKDE '19]
* Ph.D. Thesis Research
​* Joint work with Junghoon Kim, Jungeun Kim, Minseo Kang, Seungwoo Ryu, Sejeong Kwon, and Kyomin Jung 
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Dynamics on Networks
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(Advisor: Kyomin Jung)

- Opinion Spreading in General Social Networks [PRE '19+]
- Cascade Model in Clustered Networks [EPJB '16] (highlighted in KAIST CT Press)
​- Threshold Model in Arbitrary Networks [EPJB '15]
- Multi-state Diffusion in Networks [PER '13, ComplexNetworks '13, COMNET '14]

​* Joint work with Namju Kwak, Seulki Lee, Joongbo Shin, Inwoo Jung, Byeongjin Choe, Yishi Lin, and J. C. S. Lui
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Communication Networks
​(Advisor: Kyomin Jung
)

- Routing and Scheduling in Networks  [INFOCOM '12, TON '14] (Samsung Humantech Paper Award)
​* Joint work with Matthew Andrews​
​
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Statistical Inference
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(Advisor: Sung-Ho Kim)

- Learning Probabilistic Graphical Models
​* Master's Thesis Research
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  • Research
  • Publications
  • Teaching
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