Sungyong Seo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Partial Information

Temporal Reasoning

Top Venues

AAAI Spring Symposium: MLPS

Publications

Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning. CoRR (2024)
Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka
8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. KDD (2022)
Chuizheng Meng, Sungyong Seo, Defu Cao, Sam Griesemer, Yan Liu
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning. CoRR (2022)
Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
Controlling Neural Networks with Rule Representations. NeurIPS (2021)
Sungyong Seo, Yan Liu
Graph Networks with Physics-aware Knowledge Informed in Latent Space. AAAI Spring Symposium: MLPS (2021)
Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. ICWSM (2021)
Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. IJCAI (2021)
Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
Controlling Neural Networks with Rule Representations. CoRR (2021)
Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. CoRR (2020)
Changwei Hu, Yifan Hu, Sungyong Seo
A Deep Structural Model for Analyzing Correlated Multivariate Time Series. CoRR (2020)
Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu
Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. CoRR (2020)
Sungyong Seo, Chuizheng Meng, Yan Liu
Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics. ICLR (2020)
Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. CoRR (2020)
Changwei Hu, Yifan Hu, Sungyong Seo
A Deep Structural Model for Analyzing Correlated Multivariate Time Series. ICMLA (2019)
Sungyong Seo, Yan Liu
Differentiable Physics-informed Graph Networks. CoRR (2019)
Ashok Deb, Anuja Majmundar, Sungyong Seo, Akira Matsui, Rajat Tandon, Shen Yan, Jon-Patrick Allem, Emilio Ferrara
Social Bots for Online Public Health Interventions. ASONAM (2018)
Sungyong Seo, Arash Mohegh, George Ban-Weiss, Yan Liu
Automatically Inferring Data Quality for Spatiotemporal Forecasting. ICLR (Poster) (2018)
Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu
Partially Generative Neural Networks for Gang Crime Classification with Partial Information. AIES (2018)
Ashok Deb, Anuja Majmundar, Sungyong Seo, Akira Matsui, Rajat Tandon, Shen Yan, Jon-Patrick Allem, Emilio Ferrara
Social Bots for Online Public Health Interventions. CoRR (2018)
Sungyong Seo, Jing Huang, Hao Yang, Yan Liu
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction. RecSys (2017)
Natali Ruchansky, Sungyong Seo, Yan Liu
CSI: A Hybrid Deep Model for Fake News. CoRR (2017)
Natali Ruchansky, Sungyong Seo, Yan Liu
CSI: A Hybrid Deep Model for Fake News Detection. CIKM (2017)
Sungyong Seo, Youngjin Cho, Youngkwang Yoo, Otae Bae, Jaegeun Park, Heehyun Nam, Sunmi Lee, Yongmyung Lee, Seungdo Chae, Moonsang Kwon, Jin-Hyeok Choi, Sangyeun Cho, Jaeheon Jeong, Duckhyun Chang
Design and implementation of a mobile storage leveraging the DRAM interface. HPCA (2016)