Latest research projects, publications, and talks
De-noising Motion Predictions of Scuba Divers for Aquatic Robots [poster]
Posted
Tanmay Agarwal (undergraduate research assistant), Michael Fulton (Ph.D. student), Junaed Sattar (assistant professor)
Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings [preprint]
Posted
Khoa D Doan, Saurav Manchanda (Ph.D. student), Suchismit Mahapatra, Chandan K Reddy
parGeMSLR: Parallel Generalized Multilevel Schur Complement Low-Rank Preconditioner [software]
Posted
Tianshi Xu (Ph.D. student), Vassilis Kalantzis (Ph.D. 2018), Ruipeng Li (Ph.D. 2015), Yuanzhe Xi, Geoffrey Dillon, Yousef Saad (professor)
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting [journal]
Posted
Abdelkader Baggag, Sofiane Abbar, Ankit Sharma (Ph.D. 2020), Tahar Zanouda, Abdulaziz Al-Homaid, Abhiraj Mohan (M.S. student), Jaideep Srivastava (professor)
IEEE Transactions on Knowledge and Data Engineering
Context, Language Modeling, and Multimodal Data in Finance [journal]
Posted
Sanjiv Das, Connor Goggins, John He, George Karypis (professor), Sandeep Krishnamurthy, Mitali Mahajan, Nagpurnanand Prabhala, Dylan Slack, Rob van Dusen, Shenghua Yue, Sheng Zha, Shuai Zheng
The Journal of Financial Data Science
Everyday Living Artificial Intelligence Hub [conference paper]
Posted
Raymond Finzel, Esha Singh (M.S. student), Martin Michalowski, Maria Gini (professor), Serguei Pakhomov
Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances
Reflection of terms in attribute grammars: Design and applications [journal]
Posted
Lucas Kramer (Ph.D. student), Ted Kaminski (Ph.D. 2017), Eric Van Wyk (professor)
Journal of Computer Languages
Occupancy Map Inpainting for Online Robot Navigation [conference paper]
Posted
Minghan Wei (Ph.D. student), Daewon Lee, Volkan Isler (professor), Daniel Lee
IEEE International Conference on Robotics and Automation (ICRA)
Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy [journal]
Posted
Matheus Araujo (Ph.D. student), Paula van Dommelen, Ekaterina Koledova, Jaideep Srivastava (professor)
Studies in Health Technology and Informatics
Screening of large-scale genetic interaction networks [patent]
Posted
Raamesh Deshpande (Ph.D. 2013), Justin Nelson (Ph.D. 2019), Chad L Myers (professor), Scott William Simpkins (Ph.D. 2018)