Jiliang Tang– Fundings
Current Fundings
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Computation and Communication Efficient Distributed Learning, NSF, 2022-2026
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Graph Neural Networks for Heterophilous Data: Advancing the Theory, Models, and Applications, NSF, 2022-2026
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MSU Foundation Professor Fund, MSU, 2022-2027
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Student Activities Support at 2022 SIAM International Conference on Data Mining (SDM), NSF, 2022-2024
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Graph Neural Networks for Single-cell Analysis, Johnson&Johnson, 2022-2023
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Learn to Transform Graphs for Graph Neural Networks, SNAP Inc, 2022-2023
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Amazon Faculty Award, Amazon, 2022-2023
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Graph Neural Networks for Recommendation, The Home Depot, 2021-2022
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Knoweldge Graph Completion, Katana Graph, 2021-2022
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Cisco Faculty Award, Cisco System Inc, 2021-2022
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TRTech-PGR: Connecting sequences to functions within and between species through computational modeling and experimental studies, NSF, 2021-2014
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TRTech-PGR: Maize Hub: An Open-source Simulation Platform and Resources integrating extensive field trial data, DNA sequences, and historical weather records, NSF, 2021-2014
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Toward Interpretable and Stable Graph Neural Networks, ARO, 2021-2014
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Graph Rewriting for Graph Representation Learning, SNAP Inc, 2020-2022
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Advanced Quantitative and Computational Methods for STEM Education Research, NSF, 2020-2023
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Towards Scalable and Interpretable Graph Neural Networks, NSF, 2020-2022
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Intelligent Social Network Interventions to Augment Human Cognition for Interdisciplinary Interactions in Project Teams, NSF, 2019-2023
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Effective Labeled Data Generation via Generative Adversarial Learning, NSF, 2019-2022
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Singed Networks: Modeling, Measuring, and Mining, NSF, 2019-2024
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Side-channel Attacks Against Mobile Users: Singularity Detection, Behavior Identification, and Automated Rectification, NSF, 2018-2022
Completed Fundings
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Teachers in Social Media, MSU CBSA, 2020-2021
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Sequential Learning with Side Information, NEC American Labs, 2019-2021
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Reducing cardinality of solutions from a Hyper-Pareto front: Merging a grand tour with anomaly detection techniques in real-time, Living PlanIT, 2018-2021
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Unsupervised Feature Selection in the Era of Big Data, NSF, 2017-2021
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Rapid Construction of Heterogeneous Models, DARPA, 2018-2020
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Machine Learning for Ordering, Ford, 2018-2020
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Deep Reinforcement Learning for Advertising, Criteo Lab, 2018-2020
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Semantic Entity Matching Phase II, MSU Business Center, 2019-2020
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\#Cloud2Class: Exploring the Disruption and Reorganization of Educational Resources in the Age of Social Media, the American Educational Research Association, 2018-2019
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Semantic Entity Matching Phase I, MSU Business Center, 2018-2019
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A General Feature Learning Framework for Dynamic Attributed Networks, NSF, 2017-2020
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Student Activities Support at 2017 SIAM International Conference on Data Mining (SDM), NSF, 2017-2019
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Conflict of Interest Editing in Wikipedia, MSU CBSA, 2017-2018
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Using Big Data to Detect Counterfeit Products, MSU CBSA, 2017-2018
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Understanding the Temporal and Structural Dynamics of Emotion toward Emerging Diseases, MSU Trifecta, 2016-2017
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