Graph & ML

FlavorGraph: A large-scale food-chemical graph for generating food representations and recommending food pairings
Donghyeon Park, Keonwoo Kim, Seoyoon Kim, Michael Spranger, Jaewoo Kang*
Scientific Reports
[Paper (TBA)] [Code]

UnionDet: Union-level Detector Towards Real-Time Human-Object Interaction Detection
Bumsoo Kim†, Taeho Choi†, Jaewoo Kang*, Hyunwoo J Kim*
European Conference on Computer Vision (ECCV 2020)
[Paper] [Code (TBA)]

Robust Neural Networks inspired by Strong Stability Preserving Rung-Kutta methods
Byungjoo Kim†, Bryce Chudomelka†, Jinyoung Park, Jaewoo Kang*, Youngjoon Hong, Hyunwoo J Kim*
European Conference on Computer Vision (ECCV 2020)
[Paper] [Code]

Robust Long-Term Object Tracking via Improved Discriminative Model Prediction
Seokeon Choi, Junhyun Lee, Yunsung Lee, Alexander Hauptmann*
European Conference on Computer Vision Workshop (ECCVW 2020)
[Paper] [Code]

Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation
Buru Chang, Gwanghoon Jang, Seoyoon Kim, and Jaewoo Kang*
International Conference on Information and Knowledge Management (CIKM 2020)
[Paper] [Code]

MAPS: Multi-Agent reinforcement learning-based Portfolio management System
Jinho Lee†, Raehyun Kim†, Seok-won Yi, Jaewoo Kang*
International Joint Conference on Artificial Intelligence (IJCAI 2020)
[Paper]

Content-Aware Successive Point-of-Interest Recommendation
Buru Chang, Yookyung Koh, Donghyeon Park, Jaewoo Kang*
SIAM International Conference on Data Mining (SDM 2020)
[Paper]

Bipartite Link Prediction by Intra-Class Connection Based Triadic Closure
Jungwoon Shin, Keonwoo Kim, Donghyeon Park, Sunkyu Kim, Jaewoo Kang*
IEEE Access, July 2020
[Paper] [Code]

Graph Transformer Networks
Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang*, Hyunwoo J. Kim*
In Advances in Neural Information Processing Systems (NeurIPS 2019)
[Paper] [Code]

KitcheNette: Prediction and Ranking Food Ingredient Pairings based on Siamese Neural Network
Donghyeon Park, Keonwoo Kim, Yonggyu Park, Jungwoon Shin, Jaewoo Kang*
International Joint Conferences on Artificial Intelligence Organization (IJCAI 2019)
[Paper]

SAIN: Self-Attentive Integration Network for Recommendation
Seoungjun Yun†, Raehyun Kim†, Miyoung Ko, Jaewoo Kang*
International ACM Conference on Research and Development in Information Retrieval (SIGIR 2019)
[Paper]

Self-Attention Graph Pooling
Junhyun Lee†, Inyeop Lee†, Jaewoo Kang*
International Conference on Machine Learning (ICML 2019)
[Paper] [Code]

Predicting Multiple Demographic Attributes with Task Specific Embedding and Attention Network
Raehyun Kim†, Hyunjae Kim†, Janghyuk Lee, and Jaewoo Kang*
SIAM International Conference on Data Mining (SDM 2019)
[Paper] [Code]

Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network
Jinho Lee, Raehyun Kim, Yookyung Koh, Jaewoo Kang*
IEEE Access, July 2019
[Paper]

Content-Aware Point-of-Interest Embedding Model for Successive POI Recommendation
Buru Chang, Yonggyu Park, Donghyeon Park, Seongsoon Kim, and Jaewoo Kang*
International Joint Conference on Artificial Intelligence (IJCAI 2018)
[Paper]

A Deep Neural Spoiler Detection Model using a Genre-Aware Attention Mechanism
Buru Chang, Hyunjae Kim, Raehyun Kim, Daehan Kim, and Jaewoo Kang*
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018)
[Paper]

Multipath-DenseNet: A Supervised ensemble architecture of densely connected convolutional networks
Bilal Lodhi, Jaewoo Kang*
Information Sciences , May 2019 (IF: 4.305)
[Paper]

DeepPIM: A deep neural point-of-interest imputation model
Buru Chang, Yonggyu Park, Seongsoon Kim, Jaewoo Kang*
Information Sciences , Oct 2018 (IF: 4.305)
[Paper]