Data Science Lab

About CAU Data Science Lab

The CAU Data Science Lab develops end-to-end large scale machine learning pipelines for solving real-world problems. We solve challenging problems and make significant impacts in social media and network analysis, security, health care, and fair-AI. 

News

2024

• [Mar] Eunsun Kim joined our Data Science Lab! 

• [Jan] Our paper 'Decoupled Variational Graph Autoencoder for Link Prediction' has been accepted to WWW'24 (selected for oral presentation)

• [Jan] Our paper 'Improving Contrastive Learning in Emotion Recognition in Conversation via Data Augmentation and Decoupled Neutral Emotion' has been accepted to EACL'24
  - oral presentation on March 18th by Yujin Kang 🎉

(past)

• Chanwoo Jung, Nahyun Lee, Wooseong Yun joined Data Science Lab!  

• Our paper 'Approaching feature matrix: To solve two issues in link prediction' has been accepted to Expert Systems With Applications (ESWA)

• Our paper 'MEME:Multi-Encoder Multi-Expert Framework with Data Augmentation for Video Retrieval' has been accepted to SIGIR'23  

• Our paper 'Video Retrieval with Tree-based Video Segmentation' has been accepted to Database Systems for Advanced Applications  (DASFAA 2023)

• Our paper 'Application of fairness to healthcare, organizational justice, and finance: A survey' has been accepted to Expert Systems With Applications (ESWA)

• Our paper 'Positional Obstructive Sleep Apnea in Patients with Atrial Fibrillation' has been accepted to Sleep and Breathing 

• Our paper 'Stochastic-Expert Variational Autoencoder for Collaborative Filtering' has been accepted to TheWebConf 2022 (WWW 2022)

Teaching

• Data Structure (2024. Spring, Undergraduate)

• Data Processing and Analysis (2024. Spring, Undergraduate)

• Big Data (2023. Fall, Undergradutate)

• Algorithms (2023. Fall, Undergraduate)

• Deep Generative Models (2023. Fall, Graduate)

• Data Structure (2023. Spring, Undergraduate)

• Data Processing and Analysis (2023. Spring, Undergraduate)

• Algorithms (2022. Fall, Undergraduate)

• Recommender Systems (2022. Fall, Graduate)

• Data Structure (2022. Spring, Undergraduate)

• Advanced Big Data (2022. Spring, Graduate)

• Programming (2021. Fall, Undergraduate)

• Statistical Machine Learning (2021. Fall, Graduate)

• Algorithms (2021. Spring, Undergraduate) 

• Advanced Big Data (2021. Spring, Graduate) 

• Linear Algebra (2020. Fall, Undergraduate) 

Open Positions

1. AI대학원지원사업 대학원생 모집 중 

2. '차세대 비디오 검색엔진' 연구개발과제 참여 연구원 모집 중  (학부생, 대학원지망생, 박사후연구과정  희망자 지원가능)

We are inviting applications for postdoctoral positions in Knowledge Graph and Network Analytics, Natural Language Processing, and Multimodal Information Retrieval.