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Yeonjun In
Yeonjun In
PhD Student, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Simple averaging of direct and recursive forecasts via partial pooling using machine learning
YJ In, JY Jung
International Journal of Forecasting 38 (4), 1386-1399, 2022
262022
Grafn: Semi-supervised node classification on graph with few labels via non-parametric distribution assignment
J Lee, Y Oh, Y In, N Lee, D Hyun, C Park
SIGIR 2022 (Short), 2022
15*2022
LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation
K Kim, K Yoon, J Jeon, Y In, J Moon, D Kim, C Park
CVPR 2024, 2023
12*2023
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
K Kim, K Yoon, Y In, J Moon, D Kim, C Park
ICLR 2024, 2024
9*2024
Similarity Preserving Adversarial Graph Contrastive Learning
Y In, K Yoon, C Park
KDD 2023, 2023
92023
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
S Choi, W Kim, S Kim, Y In, S Kim, C Park
WWW 2024, Oral, 2024
62024
Self-Guided Robust Graph Structure Refinement
Y In, K Yoon, K Kim, K Shin, C Park
WWW 2024, Oral, 2024
62024
Class Label-aware Graph Anomaly Detection
J Kim, Y In, K Yoon, J Lee, C Park
CIKM 2023 (Short), 2023
62023
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning
K Yoon, K Kim, J Jeon, Y In, D Kim, C Park
AAAI 2025, 2024
2024
Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness
J Kim, J Lee, Y In, K Yoon, C Park
WSDM 2025 (Oral), 2024
2024
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
Y In, S Kim, RA Rossi, MM Tanjim, T Yu, R Sinha, C Park
NAACL 2025, 2024
2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
K Yoon, Y In, N Lee, K Kim, C Park
CIKM 2024, 2024
2024
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
W Kim, S Park, Y In, S Han, C Park
NAACL 2025 Findings, 2024
2024
Noise Robust Graph Learning under Feature-Dependent Graph-Noise
Y In, K Yoon, K Kim, S Kim, C Park
2024
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