Sungchul Kim

Data Scientist

San Jose

Sungchul is a data scientist at the Systems Technology Lab of Adobe Research. I received my Ph.D. in Computer Science and Engineering at Pohang University of Science and Technology (POSTECH) in summer 2015 under the supervision of Prof. Hwanjo Yu. My thesis was on constructing mutation profiles for top-k patient search and stratification of cancer subtypes.

My research interests focus on user behavior modeling and visitor stitching and include representing and analyzing data by using data-mining techniques including regression, ranking, and dimensionality reduction, and also I have been working on recommender system, online advertisement and named entity recognition.

My Publications

Published November 3, 2019

Graph Convolutional Networks with Motif-based Attention

CIKM, 2019

John Boaz Lee, Ryan Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao
  • AI & Machine Learning

Published August 5, 2019

Heterogeneous Network Motifs

15TH INTERNATIONAL WORKSHOP ON MINING AND LEARNING WITH GRAPHS

Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh
  • AI & Machine Learning

Published August 4, 2019

Latent Network Summarization: Bridging Network Embedding and Summarization

KDD '19 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Di Jin, Ryan Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao

Published August 4, 2019

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?

KDD

Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar
  • AI & Machine Learning
  • Data Intelligence
  • Natural Language Processing

Published February 11, 2019

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior

WSDM '19 Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining

Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan Rossi, Eunyee Koh

Published January 4, 2019

Visualizing Uncertainty and Alternatives in Event Sequence Predictions

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2019)

Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Leo Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao
  • Data Intelligence
  • Human Computer Interaction

Published December 10, 2018

ynamic Network Embeddings: From Random Walks to Temporal Random Walks

2018 IEEE International Conference on Big Data (Big Data)

Giang Nguyen, John Boaz Lee, Ryan Rossi, Nesreen Ahmed, Eunyee Koh, Sungchul Kim

Published November 30, 2018

Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability

IEEE Transactions on Knowledge and Data Engineering

Jinyoung Yeo, Seung-won Hwang, Sungchul Kim, Eunyee Koh, Nedim Lipka
  • AI & Machine Learning
  • Data Intelligence

Published October 22, 2018

Perceptual Similarity Ranking of Temporal Heatmaps Using Convolutional Neural Networks

Proceedings of the Workshop on Understanding Subjective Attributes of Data, with the Focus on Evoked Emotions (EE-USAD 2018)

Sana Malik, Sungchul Kim, Eunyee Koh
  • AI & Machine Learning
  • Computer Vision, Imaging & Video
  • Human Computer Interaction

Published October 22, 2018

Predictive Analysis by Leveraging Temporal User BehaviorCharles Chen, Sungchul Kim, Hung Bui, Ryan Rossi, Branislav Kveton, Eunyee Koh and Razvan Bunescu

CIKM'18

Charles Chen, Sungchul Kim, Hung Bui, Ryan Rossi, Branislav Kveton, Eunyee Koh, Razvan Bunescu
  • AI & Machine Learning
  • Data Intelligence

Published July 20, 2018

Attention Models in Graphs: A Survey

Transactions on Knowledge Discovery from Data (TKDD)

John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh
  • AI & Machine Learning

Published April 23, 2018

Continuous-Time Dynamic Network Embeddings

WWW BigNet, 2018

Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
  • AI & Machine Learning

Published April 3, 2017

Probabilistic Visitor Stitching on Cross-device Web Logs

WWW

Sungchul Kim, Nikhil Kini, Jay Pujara, Lise Getoor, Eunyee Koh
  • Data Intelligence

Published February 6, 2017

Predicting Online Purchase Conversion for Retargeting

WSDM

Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipa
  • Data Intelligence