Publications

Amortized Baseline Selection via Rank-Revealing QR for Efficient Model Explanation

Chanwoo Lee, Youngjin Park, Hyeongeun Lee, Yeeun Yoo, Daehee Han, Junho Choi, Geonhyeong Kim, Nari Kim and Jaesik Choi

Conference on Information and Knowledge Management (CIKM), 2025.Other

📄Paper

Context-aware Negative Sampling for Sequential Recommendation

Jinseok Seol and Jaesik Choi

IEEE Access, 2025.Other

📄Paper

An Automated Method to Correct Artifacts in Neural Text-to-Speech Models

Seongyeop Jeong, June Sig Sung, Inchul Hwang and Jaesik Choi

IEEE/ACM Transactions on Audio, Speech and Language Processing (T-ASLP), 2025.Other

📄Paper

A Perspective on Foundation Models in Chemistry

Junyoung Choi, Gunwook Nam, Jaesik Choi and Yousung Jung

Journal of the American Chemical Society (JACS AU), 2025.Other

📄Paper

Rethinking Shapley Value for Negative Interactions in Non-convex Games

Wonjoon Chang, Myeongjin Lee and Jaesik Choi

International Conference on Learning Representations (ICLR), 2025.Other

📄Paper

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning

Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan Tran, David Leo Wright Hall, Cheongwoong Kang and Jaesik Choi

International Conference on Learning Representations (ICLR), 2025.Other

📄Paper

LoCo: Low-rank Compositional Rotation Fine-tuning

An Nguyen, Jaesik Choi, Anh Tong

International Joint Conference on Artificial Intelligence (IJCAI), 2024.Other

📝arXiv

Pathwise Explanation of ReLU Neural Networks

Seongwoo Lim, Won Jo, Joohyung Lee and Jaesik Choi

International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.Other

📄Paper

SigFormer: Signature Transformers for Deep Hedging

Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Toan Tran and Jaesik Choi

Association for Computing Machinery International Conference on Artificial Intelligence in Finance (ACM ICAIF), 2023.Other

📄Paper

Implicit Contrastive Representation Learning with Guided Stop-gradient

Byeongchan Lee* and Sehyun Lee*

Conference on Neural Information Processing Systems (NeurIPS), 2023 (* contributed equally).Other

📄Paper

Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images

Jiyeon Han, Hwanil Choi, Yunjey Choi, Junho Kim, Jung-Woo Ha and Jaesik Choi

International Conference on Learning Representations (ICLR), 2023.Other

📄Paper

South Korea’s Response to Surging AI Use in the US and China

Jaesik Choi

Global Asia, 17 (4), 2022.Other

📄Paper

Learning Fractional White Noises in Neural Stochastic Differential Equations

Anh Tong, Thanh Nguyen-Tang, Toan Tran and Jaesik Choi

Conference on Neural Information Processing Systems (NeurIPS), 2022.Other

📄Paper

Scheduling PID Attitude and Position Control Frequencies for Time-Optimal Quadrotor Waypoint Tracking under Unknown External Disturbances

Cheongwoong Kang, Bumjin Park, Jaesik Choi

Sensors, 22 (1), 2022.Other

📄Paper

Word sense disambiguation based on context selection using knowledge-based word similarity

Soonjae Kwon, Dongsuk Oh and Youngjoong Ko

Information Processing & Management, 2021.Other

📄Paper

Visualization of autophagy progression by Red-Green-Blue autophagy sensor

Heejung Kim, Hyunbin Kim, Jaesik Choi, Kyung-Soo Inn and Jihye Seong

ACS Sensors, 2020. (IF: 7.33)Other

📄Paper

HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism

Jay H. Park, Gyeongchan Yun, Chang M. Yi, Nguyen T. Nguyen, Seungmin Lee, Jaesik Choi, Sam H. Noh and Young-ri Choi

USENIX Annual Technical Conference (USENIX ATC), 2020.Other

📄Paper

시계열 심층학습 모델의 은닉 노드에 대한 시각화

조소희, 최재식

정보과학회논문지, 2020.5, 제 47권 제5호, 445-453.Other

📄Paper

섀플리 값 추정을 이용한 주가 변화 원인 설명 문장 분류 모델 분석

천예은, 박영진, 성낙원, 최재식

정보과학회 컴퓨팅의 실제 논문지, 2020.4, 제 26권 제4호, 195-201.Other

📄Paper

백스터 로봇의 시각기반 로봇 팔 조작 딥러닝을 위한 강화학습 알고리즘 구현

김성운, 김솔아, 하파엘 리마, 최재식

로봇학회 논문지, 2019.3, 제51호, 40-49.Other

📄Paper

Dynamic Online Performance Optimization in Streaming Data Compression

Kade Gibson, Dongeun Lee, Jaesik Choi and Alexander Sim

IEEE International Conference on Big Data (IEEE Big Data), 2018.Other

📄Paper

Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns

Dongeun Lee, Alex Sim, Jaesik Choi and John Wu

Data Compression Conference (DCC), 2017 (pdf).Other

📄Paper

Improving Statistical Similarity Based Data Reduction for Non-Stationary Data

Dongeun Lee, Alex Sim, Jaesik Choi and John Wu

International Conference on Scientific and Statistical Database Management (SSDBM), 2017 (pdf).Other

📄Paper

Novel Data Reduction Based on Statistical Similarity

Dongeun Lee, Alex Sim, Jaesik Choi and John Wu

International Conference on Scientific and Statistical Database Management (SSDBM), 2016 (pdf, source codes).Other

📄Paper

Improving Imprecise Compressive Sensing Models

Dongeun Lee, Rafael Lima and Jaesik Choi

Conference on Uncertainty in Artificial Intelligence (UAI), 2016 (pdf).Other

📄Paper

지식베이스 확장을 위한 자동 관계 추출

임성우, 한지연, 이교운, 최재식

한국정보과학회, 정보과학회지, 제34권 제9호 2016.9, 39-46.Other

📄Paper

분산환경에서의 기계학습

최재식

한국정보과학회, 정보과학회지, 제34권 제9호, 2016.9Other

📄Paper

딥러닝 기반 실시간 안개제거 알고리즘

최재식, 강상훈

한국특허, 출원번호:10-2016-0023568, 2016년 2월 26일.Other

인공지능시대와 제4차 산업혁명

최재식

울산매일, 2016.7.19.Other

Extracting Baseline Electricity Usage Using Gradient Tree Boosting

Taehoon Kim, Dongeun Lee, Jaesik Choi, Anna Spurlock, Alex Sim, Annika Todd and Kesheng Wu

International Conference on Big Data Intelligence and Computing (DataCom), 2015 (Best Paper Award).Other

📄Paper

A Scalable and Flexible Repository for Big Sensor Data

Dongeun Lee, Jaesik Choi and Heonshik Shin

IEEE Sensors Journal, 15(12), 2015, 7284-7294.Other

📄Paper

Best Predictive Generalized Linear Mixed Model with Predictive Lasso for High-Speed Network Data Analysis

Kejia Hu, Jaesik Choi, Alex Sim and Jiming Jiang

International Journal of Statistics and Probability, 4(2), 2015, 132-148.Other

📄Paper

Semi-Local Structure Patterns for Robust Face Detection

Kyoungjoong Jeong, Jaesik Choi and Giljin Jang

IEEE Signal Processing Letters, 22(9), 2015, 1400-1403.Other

📄Paper

딥러닝 이론과 응용

최재식

최원익, , 한국정보과학회, 정보과학회지, 제33권 제8호, 2015.8Other

📄Paper

머신러닝(Machine Learning)

최재식

국회도서관, 전문가보고서, 미래창조과학방송통신위원회, 2015.6.Other

다양한 머신러닝 알고리즘

최재식

TECH M(머니투데이). 23. 26-29. 2015.Other

📄Paper

Low-complexity compressive sensing with downsampling

Dongeun Lee, Jaesik Choi and Heonshik Shin

IEICE Electronic Express, 11(3), 2014, 20130947.Other

📄Paper

Use of Machine Learning Methods to Reduce Predictive Error of Groundwater Models

Tianfang Xu, Albert J. Valocchi, Jaesik Choi and Eyal Amir

Groundwater, 52(3), 2014, 448-460.Other

📄Paper

얼굴정렬과 AdaBoost를 이용한 얼굴 표정 인식

정경중, 최재식

장길진, , 전자공회논문지, 제51권 11호, 2014.11, 193-201.Other

📄Paper

빅데이터를 위한 확률 관계형 학습 모델의 변분 추론

최재식

한국정보과학회, 정보과학회지 , 제32권 제7호 2014.7, 15-20.Other

📄Paper

SecureCore: A Multicore based Intrusion Detection Architecture for Real-time Embedded Systems

Man-Ki Yoon, Sibin Mohan, Jaesik Choi, Jung-Eun Kim and Lui Sha

IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2013.Other

📄Paper

Greedy Algorithms for Sequential Sensing Decisions

Hannaneh Hajishirzi, Afsaneh Shirazi, Jaesik Choi and Eyal Amir

International Joint Conference on Artificial Intelligence (IJCAI), 2009 (pdf).Other

📄Paper