Experience

KAIST Data Mining Lab, KAIST

Individual Researcher (Advisor: Prof. Kijung Shin)

Jul. 2020 - Feb. 2021

• Research on graph algorithm

DMIS (Data Mining & Information System) Laboratory, Korea University

Undergraduate Researcher (Advisor: Prof. Jaewoo Kang)

Mar. 2018 - June. 2020

• Participated in a lead optimization project and many studies for machine learning (deep learning)

Application Developer

POG

May. 2019 — Aug. 2019

• Developed minimum viable product for an android application service

Brain Engineering Laboratory, Korea University

Undergraduate Researcher (Advisor - Sunhee Kim)

Feb. 2019 - Jul. 2019

• Participated in projects for collecting and processing brain signal data

  • Real-time intelligent emotional technology based on multi-modal brain signal

 Publications

[C5]  HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs

Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, and Kijung Shin

ICLR 24 [paper|appendix|video|slides|code and datasets] 

[C4]  BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning

Jihoon Ko*, Shinhwan Kang*, and Kijung Shin

Pre-print [paper|appendix|video|slides|code and datasets|docs] 

[C3]  Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition  

Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, and Se-Young Yun

Workshop@NeurIPS 22 Competition Track [paper|appendix|video|slides|code and datasets] 

[J1]  Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm 

Fanchen Bu, Shinhwan Kang, and Kijung Shin

ECML PKDD 23 [paper|appendix|video|slides|code and datasets] 

[C2]  Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications 

Shinhwan Kang, Kyuhan Lee, and Kijung Shin

ICDE 22 [paper|appendix|video|slides|code and datasets] 

[C1]   Are Edge Weights in Summary Graphs Useful? - A Comparative Study

Shinhwan Kang, Kyuhan Lee, and Kijung Shin

PAKDD 22 [paper|appendix|video|slides|code and datasets] (Acceptance Rate = 19.3%)

Projects

Project for Graduation

Mar. 2020 - Jun. 2020

• Project for graduation (COSE487 (00) - 2020 Spring Semester)(Python with Pytorch, RDKit)

• Lead optimization

Emotion Recognition

Mar. 2020 - Jun. 2020

• Term project in Natural Language Processing (COSE461 (01) - 2020 Spring Semester)

• Emotion recognition with BERT and KoBERT

• Dataset = English (Drama "Friends" dastaset) and Korean (Naver Movie Review's rating)

• My part is KoBERT part.

Playing Street Fighter II with Deep Reinforcement Learning

Sept. 2019 - Dec. 2019

• Term project in Machine Learning (COSE362-2019 Fall Semester) (Python with gpu-Tensorflow)

• Aim to beat the Street Fighter AI (normal mode) by implementing Deep Q-Network (DQN), Actor-Critic (A2C), Curriculum learning etc.

• My part is DQN implementation and experiments with DQN.

Vaccination via prehand exposure to adversary examples

Sept. 2019 - Dec. 2019

• Term project in Deep Learning (COSE474 - 2019 Fall Semester) (Python with Pytorch)

• Aim to create robust image by adversarial training using gradient-based approach (PGD, FGSM) and network-based approach (P-ATN, AAE-ATN, adv-GAN)

Product recommendation system using age, gender information

Mar. 2019 - Jun. 2019

• Term project in Data Science (COSE471 - 2019 Spring Semester) (Python)

• By analyzing purchase data in a certain gender and age range, proposing a new algorithm that recommends products when new consumers enter the range.

Making AI for playing Connect Four

Mar. 2019 - Jun. 2019

• Term project in Articial Intelligence (COSE361 - 2019 Spring Semester) (C)

Extra Curricular Activites

• Attending the Asia-Pacific Microsoft Students Partners Summit (APAC MSP Summit) at National University of Singapore (NUS) in Singapore on 2018.05.18-20.

Student Council

Korea Univ. College of Information

Mar. 2017 — Nov. 2018

• Chairman of welfare and culture department (Mar. 2017 - Nov. 2017)

• Member of education and welfare department (Nov. 2017 - Nov. 2018)

Award / Recognition

Interestes / Activities