All Publications

Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri (2021). Fountain Coding for Information Protection in Tactical Networks. 2021 International Conference on Military Communication and Information Systems (ICMCIS).

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Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li (2021). EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. arXiv preprint arXiv:2108.05233.

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Mushuang Liu, Yan Wan, Zongli Lin, Frank L. Lewis, Junfei Xie, Brian A. Jalaian (2021). Computational Intelligence in Uncertainty Quantification for Learning Controland Differential Games. Handbook of Reinforcement Learning and Control.

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Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li (2021). AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. Proceedings of the 30th ACM International Conference on Information & Knowledge Management.

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Shaoran Li, Yan Huang, Chengzhang Li, Thomas Hou, Wenjing Lou, Brian Jalaian, Stephen Russell (2021). Achieving Real-Time Spectrum Sharing in 5G Underlay Coexistence with Channel Uncertainty. IEEE Transactions on Mobile Computing.

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Meet P Vadera, Adam D Cobb, Brian Jalaian, Benjamin M Marlin (2020). Ursabench: Comprehensive benchmarking of approximate bayesian inference methods for deep neural networks. arXiv preprint arXiv:2007.04466.

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Benjamin M Marlin, Tarek Abdelzaher, Gabriela Ciocarlie, Adam D Cobb, Mark Dennison, Brian Jalaian, Lance Kaplan, Tiffany Raber, Adrienne Raglin, Piyush K Sharma, Others (2020). On uncertainty and robustness in large-scale intelligent data fusion systems. 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI).

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Meet Vadera, Brian Jalaian, Benjamin Marlin (2020). Generalized bayesian posterior expectation distillation for deep neural networks. Conference on Uncertainty in Artificial Intelligence.

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Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri (2020). Exploring performance trade-offs in tactical edge networks. IEEE Communications Magazine.

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Stephen Russell, Ira S Moskowitz, Brian Jalaian (2020). Context: Separating the forest and the trees—Wavelet contextual conditioning for AI. Human-Machine Shared Contexts.

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