Woojeong Jin
Applied ScientistI 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
2023
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
Dong-Ho Lee, Kian Ahrabian, Woojeong Jin , Fred Morstatter, and Jay Pujara
EMNLP 2023
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
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
AI Magazine
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
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
ACL 2021
Modality-specific Distillation
Woojeong Jin , Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, and Hamed Firooz
NAACL 2021
NAACL 2021
2020
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
Woojeong Jin , Meng Qu, Xisen Jin, and Xiang Ren
EMNLP 2020
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
WWW Journal
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
Sankalp Garg*, Navodita Sharma*, Woojeong Jin , and Xiang Ren
IJCAI 2020
IJCAI 2020
2019
Collaborative Policy Learning for Open Knowledge Graph Reasoning
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin , and Xiang Ren
EMNLP 2019
EMNLP 2019
2018
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)
ICDM 2016