Woojeong Jin

Computer Science · Physical Sciences

13h-index1.1kcitations36works4.02yr avg
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Research Topics

Topic Modeling(18), Advanced Graph Neural Networks(17), Multimodal Machine Learning Applications(8), Complex Network Analysis Techniques(7), Domain Adaptation and Few-Shot Learning(7)

Publications36 total

Improving Covert Toxicity Detection by Retrieving and Generating References
2024· 4 citedOpen Access
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions
arXiv (Cornell University)·2023· 1 citedOpen Access
Analyzing Norm Violations in Live-Stream Chat
arXiv (Cornell University)·2023Open Access
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
arXiv (Cornell University)·2023· 8 citedOpen Access
Hybrid forecasting of geopolitical events<sup>†</sup>
AI Magazine·2023· 11 citedOpen Access
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
2023· 23 citedOpen Access
Analyzing Norm Violations in Live-Stream Chat
2023· 4 citedOpen Access
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on\n Intermediate Pre-training for Cross-modal Knowledge Transfer
arXiv (Cornell University)·2022Open Access
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)·2022Open Access
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)·2022· 96 citedOpen Access
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models
arXiv (Cornell University)·2021· 13 citedOpen Access
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding
arXiv (Cornell University)·2021Open Access
Modality-specific Distillation
2021Open Access
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
2021· 20 citedOpen Access
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding
2021· 3 citedOpen Access
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
2020· 10 citedOpen Access
Accurate relational reasoning in edge-labeled graphs by multi-labeled random walk with restart
World Wide Web·2020· 4 cited
ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions
arXiv (Cornell University)·2020Open Access
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
arXiv (Cornell University)·2020· 1 citedOpen Access
ForecastQA: A Question Answering Challenge for Event Forecasting
arXiv (Cornell University)·2020· 2 citedOpen Access
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Frequent Co-authors

Xiang Ren(21), U Kang(9), Dong‐Ho Lee(7), Jay Pujara(7), Fred Morstatter(6), Jinhong Jung(5), Meng Qu(4), Suji Kim(4), Aram Galstyan(4), Yelong Shen(3), Weizhu Chen(3), Lee Sael(3), Pedro Szekely(3), Rahul Khanna(3), Hyundong Cho(3), Jihyung Moon(3), Sungjoon Park(3), Maziar Sanjabi(3), Shaoliang Nie(3), Liang Tan(3)