Publications · SAIL @ KAIST

131papers in view

112026

192025

82024

122023

72022

132021

92020

62019

32018

42017

82016

122015

52014

22013

22012

22011

12010

32009

22008

12007

12005

11 of 131 publications

2026

Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution
Soyeon Kim, Seongwoo Lim, Kyowoon Lee, and Jaesik Choi
Knowledge Discovery and Data Mining (KDD) 2026.
arXiv

2025

On the Relationship between Populated Regions and Adversarial Robustness in Deep Neural Networks
Seongjin Park, Haedong Jeong, Tair Djanibekov, Giyoung Jeon, Jinseok Seol and Jaesik Choi
IEEE International Conference on Data Mining (ICDM), 2025.
arXiv

2021

Semi-Supervised Training of Deep Generative Models for High-Dimensional Anomaly Detection
Qin Xie, Peng Zhang, Boseon Yu* and Jaesik Choi*
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 (* co-corresponding author).
Paper
Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes
Sohee Cho*, Wonjoon Chang*, GinKyeng Lee and Jaesik Choi
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021 (* contributed equally).
Paper

2020

Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data
Jaesik Choi
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2020 [tutorial link, video]
Paper

2018

Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based Graph
Dongsuk Oh*, Soonjae Kwon*, Kyungsun Kim and Youngjoong Ko
International Conference on Computational Linguistics (COLING), 2018 (* contributed equally).
Paper

2017

Learning Execution Contexts from System Call Distribution for Anomaly Detection in Smart Embedded System
Man-Ki Yoon, Sibin Mohan, Jaesik Choi, Mihai Christodorescu and Lui Sha
The ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), 2017.
Paper

2015

A Deterministic Partition Function Approximation for Exponential Random Graph Models
Wen Pu, Jaesik Choi, Yunseong Hwang and Eyal Amir
International Joint Conference on Artificial Intelligence (IJCAI), 2015 (pdf, slides).
Paper
Memory Heat Map: Anomaly Detection in Real-Time Embedded Systems Using Memory Behavior
Man-Ki Yoon, Sibin Mohan, Jaesik Choi and Lui Sha
Design Automation Conference (DAC), 2015 (pdf, BibTeX).
Paper
Learning Compressive Sensing Models for Big Spatio-Temporal Data
Dongeun Lee and Jaesik Choi
2015 SIAM International Conference on Data Mining (SDM), 2015 (pdf).
Paper

2012

Improving Groundwater Flow Model Prediction Using Complementary Data-Driven Models
Tianfang Xu, Albert J. Valocchi,Jaesik Choi and Eyal Amir
XIX International Conference on Computational Methods in Water Resources (CMWR), 2012.
Paper