DIAL Publications

2022

1. Yihong Ma, Patrick Gerard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla. “Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting.” 31st ACM International Conference on Information and Knowledge Management (CIKM’ 22) PDF
2. Damien Dablain, Bartosz Krawczyk, Nitesh Chawla. “DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data.” IEEE Transactions on Neural Networks and Learning Systems 2022 PDF
3. Kaiwen Dong,Yijun Tian,Zhichun Guo,Yang Yang,Nitesh V. Chawla. “FakeEdge: Alleviate Dataset Shift in Link Prediction.” Proceedings of the First Learning on Graphs Conference (LoG 2022) 2022 PDF
4. Mandana Saebi, Steven Krieg, Chuxu Zhang, Meng Jiang, Nitesh Chawla. “Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning.” Information Fusion 88 (2022) PDF
5. Steven J. Krieg, Christian W. Smith, Rusha Chatterjee, Nitesh V. Chawla. “Predicting terrorist attacks in the United States using localized news data.” PLoS one 17, no. 6 (2022) PDF
6. Steven J. Krieg, Carolina Avendano, Evan Grantham-Brown, Aaron Lilienfeld Asbun, Jennifer J. Schnur, Marie L. Miranda, Nitesh V. Chawla. “Data-driven Testing Program Improves Detection of COVID-19 Cases and Reduces Community Transmission.” NPJ Digital Medicine 5(1), 17 PDF
7. Steven J. Krieg*, Jennifer J. Schnur*, Marie L. Miranda, Micahel E. Pfrender, Nitesh V. Chawla. “Symptomatic, Presymptomatic, and Asymptomatic Transmission of SARSCoV-2 in a University Student Population, August–November 2020.” Public Health Reports 137, no. 5 (2022) PDF
8. Zhaojun Wang, Mandana Saebi, Erin K Grey, James J Corbett. “Ballast water-mediated species spread risk dynamics and policy implications to reduce the invasion risk to the Mediterranean Sea.” Marine Pollution Bulletin 174 (2022) 2022 PDF

2021

1. Yijun Tian, Chuxu Zhang, Ronald Metoyer, Nitesh Chawla. “Recipe Representation Learning with Networks.” 30th ACM International Conference on Information and Knowledge Management (CIKM) PDF
2. Discriminative Entity-Aware Language Model for Virtual Assistants.” Interspeech 2021Best student paper nominee PDF
3. Zhaojun Wang, Mandana Saebi, James J Corbett, Erin K Grey, Salvatore R Curasi. “Integrated Biological Risk and Cost Model Analysis Supports a Geopolitical Shift in Ballast Water Management.” Environmental Science & Technology PDF
4. Zhaojun Wang, Amanda M. Countryman, James J. Corbett, Mandana Saebi, Nitesh V. Chawla. “Economic and environmental impacts of ballast water management on Small Island Developing States and Least Developed Countries.” Journal of Environmental Management arXiv
5. Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang . “Modeling Co-evolution of Attributed and Structural Information in Graph Sequence.” PDF
6. Daheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang . “Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding.” PDF