woojeong.jin (at) usc.edu
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Woojeong Jin

Ph.D. Candidate, Computer Science Department

I am on the job market for industry research positions starting Fall 2023!

I am a final-year Ph.D. candidate in Computer Science at the University of Southern California. I am fortunate to be advised by Prof. Xiang Ren and supported by KEF Scholarship. I received B.S. in Electrical and Computer Engineering at Seoul National University. My undergraduate research was advised by Prof. U Kang.

My research interest lies in Multimodal Learning and Natural Language Processing.


Aug. 2018 - Present

Ph.D. in Computer Science

University of Southern California

Los Angeles, California

Feb. 2017

B.S. in Electrical and Computer Engineering

Seoul National University

Seoul, Korea


A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models
Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, and Xiang Ren
ACL 2022 (long) [ paper | code ]
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer
Woojeong Jin*, Dong-Ho Lee*, Chenguang Zhu, Jay Pujara, and Xiang Ren
ACL 2022 (long) [ paper | code ]
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding
Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, and Hamed Firooz
EMNLP 2021 Findings (long) [ paper ]
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, and Xiang Ren
ACL 2021 (long) [ paper | www | leaderboard ]
Modality-specific Distillation
Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, and Hamed Firooz
MAI@NAACL 2021 [ paper ]
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
Woojeong Jin, Meng Qu, Xisen Jin, and Xiang Ren
EMNLP 2020 (long) [ paper | code ]
Accurate Relational Reasoning in Edge-labeled Graphs by Multi-Labeled Random Walk with Restart
Jinhong Jung, Woojeong Jin, Ha-myung Park, and U Kang
World Wide Web Journal [ paper ]
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
Sankalp Garg*, Navodita Sharma*, Woojeong Jin, and Xiang Ren
IJCAI 2020 [ paper | code ]
Collaborative Policy Learning for Open Knowledge Graph Reasoning
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, and Xiang Ren
EMNLP 2019 (long) [ paper | code ]
Recurrent Event Network for Reasoning over Temporal Knowledge Graphs
Woojeong Jin, Changlin Zhang, and Xiang Ren
ICLR-RLGM 2019 [ paper ]
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, and Xiang Ren
TheWebConf 2019 [ paper | code ] (18% Acceptance Rate)
Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks
Woojeong Jin, Jinhong Jung, and U Kang
PLOS ONE [ paper | www (code and data) ]
Random Walk Based Ranking in Signed Social Networks: Model and Algorithms
Jinhong Jung, Woojeong Jin, U Kang, and Lee Sael
KAIS [ paper | www (code and data) ]
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees
Minji Yoon, Woojeong Jin, and U Kang
TheWebConf 2018 [ paper ] (14.8% Acceptance Rate)

Work Experience

Jan. 2022 - Apr. 2022

Research Intern, Microsoft Research, Redmond, Washington

June 2021 - Jan. 2022

Research Intern, Microsoft Azure AI, Redmond, Washington

May 2020 - Aug. 2020

Research Intern, AI Integrity, Facebook AI, Menlo Park, California

Jan. 2016 - Apr. 2018

Research Assistant, Data Mining Lab., SNU

June 2014 - Aug. 2014

Research Intern, Creative Innovation Center, LG electronics