Seojin Kim

According to our database, Seojin Kim authored at least 16 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation.

Yehjin Shin, Seojin Kim, Noseong Park

CoRR, March, 2026

2025

FontAdapter: Instant Font Adaptation in Visual Text Generation.

Myungkyu Koo, Subin Kim, Sangkyung Kwak, Jaehyun Nam, Seojin Kim, Jinwoo Shin

CoRR, June, 2025

Multi-View Node Pruning for Accurate Graph Representation.

Jiseong Park, Hanjin Kim, Seojin Kim, Jueun Choi

CoRR, March, 2025

TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation.

Yehjin Shin, Jeongwhan Choi, Seojin Kim, Noseong Park

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Debun: Detecting Bundled JavaScript Libraries on Web using Property-Order Graphs.

Seojin Kim, Sungmin Park, Jihyeok Park

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Training Text-to-Molecule Models with Context-Aware Tokenization.

Seojin Kim, Hyeontae Song, Jaehyun Nam, Jinwoo Shin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Mamba Drafters for Speculative Decoding.

Daewon Choi, Seunghyuk Oh, Saket Dingliwal, Jihoon Tack, Kyuyoung Kim, Woomin Song, Seojin Kim, Insu Han, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Holistic Molecular Representation Learning via Multi-view Fragmentation.

Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

Trans. Mach. Learn. Res., 2024

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness.

Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong

Trans. Mach. Learn. Res., 2024

Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization.

Sheo Yon Jhin, Seojin Kim, Noseong Park

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Data-Efficient Molecular Generation with Hierarchical Textual Inversion.

Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Evaluating the Efficacy of Interactive Language Therapy Based on LLM for High-Functioning Autistic Adolescent Psychological Counseling.

Yujin Cho, Mingeon Kim, Seojin Kim, Oyun Kwon, Ryan Donghan Kwon, Yoonha Lee, Dohyun Lim

CoRR, 2023

Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations.

Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park

Proceedings of the IEEE International Conference on Big Data, 2023

Confidence-Aware Training of Smoothed Classifiers for Certified Robustness.

Jongheon Jeong, Seojin Kim, Jinwoo Shin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2017

Efficient Differential Trail Searching Algorithm for ARX Block Ciphers.

Seojin Kim, HyungChul Kang, Deukjo Hong, Jaechul Sung, Seokhie Hong

IACR Cryptol. ePrint Arch., 2017

2008

Automated Continuous Integration of Component-Based Software: An Industrial Experience.

Seojin Kim, Sungjin Park, Jeonghyun Yun, Younghoo Lee

Proceedings of the 23rd IEEE/ACM International Conference on Automated Software Engineering (ASE 2008), 2008