Woojeong Jin

Woojeong Jin

Applied Scientist

I am an Applied Scientist at Hippocratic AI, where I focus on real-time voice agents.

I earned my Ph.D. in Computer Science from the University of Southern California, advised by Prof. Xiang Ren. During my doctoral studies, my research centered on multimodal learning and natural language processing.

Before pursuing my Ph.D., I received a B.S. in Electrical and Computer Engineering from Seoul National University, where I conducted undergraduate research under the guidance of Prof. U Kang.

Interests: Real-time Voice AgentsConversational AIMultimodal LearningLarge Language Models

Experience

June 2024 - Present

Applied Scientist, Hippocratic AI, Palo Alto, California

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, Meta AI, Menlo Park, California

Jan. 2016 - Apr. 2018

Research Assistant, Data Mining Lab., Seoul National University

June 2014 - Aug. 2014

Research Intern, Creative Innovation Center, LG Electronics

Education

Aug. 2018 - May. 2024

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

Publications

2024
WinoViz: Probing Visual Properties of Objects Under Different States Woojeong Jin, Tejas Srinivasan, Jesse Thomason, and Xiang Ren
arXiv
2023
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Yelong Shen, Weizhu Chen, Ahmed Hassan Awadallah, Damien Jose, and Xiang Ren
arXiv
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, and Jay Pujara
EMNLP 2023
Analyzing Norm Violations in Real-Time Live-Streaming Chat Jihyung Moon*, Dong-Ho Lee*, Hyundong J. Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jay Pujara and Sungjoon Park
EMNLP 2023
Hybrid forecasting of geopolitical events Daniel M Benjamin, Fred Morstatter, Ali E Abbas, Andres Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, KSM Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A Szekely, Michael D Ward, and Aram Galstyan
AI Magazine
2022
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
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
2021
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, and Hamed Firooz
EMNLP 2021
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
Modality-specific Distillation Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, and Hamed Firooz
NAACL 2021
2020
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs Woojeong Jin, Meng Qu, Xisen Jin, and Xiang Ren
EMNLP 2020
Accurate Relational Reasoning in Edge-labeled Graphs by Multi-Labeled Random Walk with Restart Jinhong Jung, Woojeong Jin, Ha-myung Park, and U Kang
WWW Journal
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution Sankalp Garg*, Navodita Sharma*, Woojeong Jin, and Xiang Ren
IJCAI 2020
2019
Collaborative Policy Learning for Open Knowledge Graph Reasoning Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, and Xiang Ren
EMNLP 2019
Recurrent Event Network for Reasoning over Temporal Knowledge Graphs Woojeong Jin, Changlin Zhang, and Xiang Ren
ICLR 2019
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
WWW 2019 (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
Random Walk Based Ranking in Signed Social Networks: Model and Algorithms Jinhong Jung, Woojeong Jin, U Kang, and Lee Sael
KAIS
2018
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees Minji Yoon, Woojeong Jin, and U Kang
WWW 2018 (14.8% Acceptance Rate)
2016
Personalized Ranking in Signed Networks using Signed Random Walk with Restart Jinhong Jung, Woojeong Jin, Lee Sael, and U Kang
ICDM 2016 (19.6% Acceptance Rate)