Design and implementation of a mobile storage leveraging the DRAM interface. - 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; et al. (HPCA, 2016)

CSI: A Hybrid Deep Model for Fake News Detection. - Natali Ruchansky; Sungyong Seo; Yan Liu 002 (CIKM, 2017)

Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction. - Sungyong Seo; Jing Huang 019; Hao Yang 007; Yan Liu 002 (RecSys, 2017)

CSI: A Hybrid Deep Model for Fake News. - Natali Ruchansky; Sungyong Seo; Yan Liu 002 (CoRR, 2017)

Partially Generative Neural Networks for Gang Crime Classification with Partial Information. - Sungyong Seo; Hau Chan; P. Jeffrey Brantingham; Jorja Leap; Phebe Vayanos; Milind Tambe; Yan Liu 002 (AIES, 2018)

Social Bots for Online Public Health Interventions. - Ashok Deb; Anuja Majmundar; Sungyong Seo; Akira Matsui; Rajat Tandon; Shen Yan; Jon-Patrick Allem; Emilio Ferrara (ASONAM, 2018)

Automatically Inferring Data Quality for Spatiotemporal Forecasting. - Sungyong Seo; Arash Mohegh; George Ban-Weiss; Yan Liu 002 (ICLR (Poster), 2018)

A Deep Structural Model for Analyzing Correlated Multivariate Time Series. - Changwei Hu; Yifan Hu 001; Sungyong Seo (ICMLA, 2019)

Differentiable Physics-informed Graph Networks. - Sungyong Seo; Yan Liu (CoRR, 2019)

Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics. - Sungyong Seo; Chuizheng Meng; Yan Liu 002 (ICLR, 2020)

Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. - Karishma Sharma; Sungyong Seo; Chuizheng Meng; Sirisha Rambhatla; Aastha Dua; Yan Liu 002 (CoRR, 2020)

Graph Networks with Physics-aware Knowledge Informed in Latent Space. - Sungyong Seo; Yan Liu (AAAI Spring Symposium: MLPS, 2021)

Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. - Karishma Sharma; Xinran He; Sungyong Seo; Yan Liu 002 (ICWSM, 2021)

Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. - Sungyong Seo; Chuizheng Meng; Sirisha Rambhatla; Yan Liu 002 (IJCAI, 2021)

Controlling Neural Networks with Rule Representations. - Sungyong Seo; Sercan Ö. Arik; Jinsung Yoon; Xiang Zhang; Kihyuk Sohn; Tomas Pfister (NeurIPS, 2021)

8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. - Sanjay Purushotham; Jun Huan; Cong Shen 001; Dongjin Song; Yuyang Wang 001; Jan Gasthaus; Hilaf Hasson; Youngsuk Park; Sungyong Seo; Yuriy Nevmyvaka (KDD, 2022)

When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning. - Chuizheng Meng; Sungyong Seo; Defu Cao; Sam Griesemer; Yan Liu 002 (CoRR, 2022)

Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning. - Bahare Fatemi; Mehran Kazemi; Anton Tsitsulin; Karishma Malkan; Jinyeong Yim; John Palowitch; Sungyong Seo; Jonathan Halcrow; Bryan Perozzi (ICLR, 2025)

Physics-Aware Spatiotemporal Causal Graph Network for Forecasting with Limited Data. - Zijun Cui; Sam Griesemer; Sungyong Seo; Joshua Hikida; Yan Liu (Trans. Mach. Learn. Res., 2025)