Jun Seo

According to our database, Jun Seo authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge Tracing.

Jun Seo, Sangwon Ryu, Heejin Do, Hyounghun Kim, Gary Geunbae Lee

CoRR, April, 2026

Channel-wise Retrieval for Multivariate Time Series Forecasting.

Junhyeok Kang, Jun Seo, Soyeon Park, Sangjun Han, Seohui Bae, Hyeokjun Choe, Soonyoung Lee

CoRR, April, 2026

Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion.

Seunghan Lee, Jun Seo, Jaehoon Lee, Sungdong Yoo, Minjae Kim, Taeyoon Lim, Dongwan Kang, Hwanil Choi, SoonYoung Lee, Wonbin Ahn

CoRR, March, 2026

Cross-RAG: Zero-Shot Retrieval-Augmented Time Series Forecasting via Cross-Attention.

Seunghan Lee, Jaehoon Lee, Jun Seo, Sungdong Yoo, Minjae Kim, Taeyoon Lim, Dongwan Kang, Hwanil Choi, Soonyoung Lee, Wonbin Ahn

CoRR, March, 2026

FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing.

Jaehoon Lee, Suhwan Park, Taeyoon Lim, Seunghan Lee, Jun Seo, Dongwan Kang, Hwanil Choi, Minjae Kim, Sungdong Yoo, SoonYoung Lee, Yongjae Lee, Wonbin Ahn

CoRR, March, 2026

Playsemble: Learning Low-Level Programming Through Interactive Games.

Elliott Wen, Paul Denny, Andrew Luxton-Reilly, Sean Ma, Bruce Sham, Chenye Ni, Jun Seo, Yu Yang

CoRR, February, 2026

2025

Adaptive Information Routing for Multimodal Time Series Forecasting.

Jun Seo, Hyeokjun Choe, Seohui Bae, Soyeon Park, Wonbin Ahn, Taeyoon Lim, Junhyeok Kang, Sangjun Han, Jaehoon Lee, Dongwan Kang, Minjae Kim, Sungdong Yoo, Soonyoung Lee

CoRR, December, 2025

2024

Flexible Control in Symbolic Music Generation via Musical Metadata.

Sangjun Han, Jiwon Ham, Chaeeun Lee, Heejin Kim, Soojong Do, Sihyuk Yi, Jun Seo, Seoyoon Kim, Yountae Jung, Woohyung Lim

CoRR, 2024

Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning.

Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon

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

2023

Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning.

Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation.

Jun Seo, Young-Hyun Park, Sung Whan Yoon, Jaekyun Moon

CoRR, 2022

2021

Few-Round Learning for Federated Learning.

Younghyun Park, Dong-Jun Han, Do-Yeon Kim, Jun Seo, Jaekyun Moon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CAFENet: Class-Agnostic Few-Shot Edge Detection Network.

Younghyun Park, Jun Seo, Jaekyun Moon

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Task-Adaptive Feature Transformer for Few-Shot Segmentation.

Jun Seo, Young-Hyun Park, Sung Whan Yoon, Jaekyun Moon

CoRR, 2020

Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification.

Jun Seo, Sung Whan Yoon, Jaekyun Moon

CoRR, 2020

XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning.

Sung Whan Yoon, Do-Yeon Kim, Jun Seo, Jaekyun Moon

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning.

Sung Whan Yoon, Jun Seo, Jaekyun Moon

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Meta Learner with Linear Nulling.

Sung Whan Yoon, Jun Seo, Jaekyun Moon

CoRR, 2018

Compressed QR code-based mobile voice guidance service for the visually disabled.

Jung Hoon Kim, Minseo Kim, Taejun Yang, Insu Kim, Jun Seo, Summoo Kang

Proceedings of the 20th International Conference on Advanced Communication Technology, 2018