Personalized Ranking in Signed Networks Using Signed Random Walk with Restart. - Jinhong Jung; Woojeong Jin 001; Lee Sael; U Kang (ICDM, 2016)

Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks. - Woojeong Jin 001; Jinhong Jung; U Kang (CoRR, 2017)

Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. - Minji Yoon; Woojeong Jin 001; U Kang (WWW, 2018)

Collaborative Policy Learning for Open Knowledge Graph Reasoning. - Cong Fu 001; Tong Chen; Meng Qu; Woojeong Jin 001; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. - Weizhi Ma; Min Zhang 006; Yue Cao; Woojeong Jin 001; Chenyang Wang 003; Yiqun Liu 001; Shaoping Ma; Xiang Ren 001 (WWW, 2019)

Recurrent Event Network for Reasoning over Temporal Knowledge Graphs. - Woojeong Jin 001; Changlin Zhang; Pedro A. Szekely; Xiang Ren 001 (CoRR, 2019)

Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. - Woojeong Jin 001; Meng Qu; Xisen Jin; Xiang Ren 001 (EMNLP (1), 2020)

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution. - Sankalp Garg; Navodita Sharma; Woojeong Jin 001; Xiang Ren 001 (IJCAI, 2020)

ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions. - Woojeong Jin 001; Suji Kim; Xiang Ren 001 (CoRR, 2020)

Random walk-based ranking in signed social networks: model and algorithms. - Jinhong Jung; Woojeong Jin 001; U Kang (Knowl. Inf. Syst., 2020)

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data. - Woojeong Jin 001; Rahul Khanna; Suji Kim; Dong-Ho Lee; Fred Morstatter; Aram Galstyan; Xiang Ren 001 (ACL/IJCNLP (1), 2021)

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. - Woojeong Jin 001; Maziar Sanjabi; Shaoliang Nie; Liang Tan 005; Xiang Ren 001; Hamed Firooz (EMNLP (Findings), 2021)

Modality-specific Distillation. - Woojeong Jin 001; Maziar Sanjabi; Shaoliang Nie; Liang Tan 005; Xiang Ren 001; Hamed Firooz (CoRR, 2021)

Accurate relational reasoning in edge-labeled graphs by multi-labeled random walk with restart. - Jinhong Jung; Woojeong Jin 001; Ha-Myung Park; U Kang (World Wide Web, 2021)

A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models. - Woojeong Jin 001; Yu Cheng 001; Yelong Shen; Weizhu Chen; Xiang Ren 001 (ACL (1), 2022)

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. - Woojeong Jin 001; Dong-Ho Lee; Chenguang Zhu 001; Jay Pujara; Xiang Ren 001 (ACL (1), 2022)

Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. - Dong-Ho Lee; Kian Ahrabian; Woojeong Jin 001; Fred Morstatter; Jay Pujara (EMNLP, 2023)

Analyzing Norm Violations in Live-Stream Chat. - Jihyung Moon; Dong-Ho Lee; Hyundong Cho; Woojeong Jin 001; Chan Young Park; Minwoo Kim; Jonathan May; Jay Pujara; Sungjoon Park (EMNLP, 2023)

GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions. - Woojeong Jin 001; Subhabrata Mukherjee; Yu Cheng 001; Yelong Shen; Weizhu Chen; Ahmed Hassan Awadallah; Damien Jose; Xiang Ren 001 (CoRR, 2023)

Hybrid forecasting of geopolitical events†. - Daniel M. Benjamin; Fred Morstatter; Ali E. Abbas; Andrés Abeliuk; Pavel Atanasov; Stephen Bennett; Andreas Beger; Saurabh Birari; David V. Budescu; Michele Catasta; Emilio Ferrara; Lucas Haravitch; et al. (AI Mag., 2023)

WinoViz: Probing Visual Properties of Objects Under Different States. - Woojeong Jin 001; Tejas Srinivasan; Jesse Thomason; Xiang Ren 001 (CoRR, 2024)

Hybrid Forecasting of Geopolitical Events. - Daniel M. Benjamin; Fred Morstatter; Ali E. Abbas; Andrés Abeliuk; Pavel Atanasov; Stephen Bennett; Andreas Beger; Saurabh Birari; David V. Budescu; Michele Catasta; Emilio Ferrara; Lucas Haravitch; et al. (CoRR, 2024)