Jiliang Tang
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Jiliang Tang– Fundings

Current Fundings

  • TTRTech-PGR: Connecting sequences to functions within and between species through computational modeling and experimental studies, NSF, 2021-2014

  • 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

  • Toward Interpretable and Stable Graph Neural Networks, ARO, 2021-2014

  • Graph Rewriting for Graph Representation Learning, SNAP Inc, 2020-2022

  • Advanced Quantitative and Computational Methods for STEM Education Research, NSF, 2020-2023

  • Towards Scalable and Interpretable Graph Neural Networks, NSF, 2020-2022

  • Teachers in Social Media, MSU CBSA, 2020-2021

  • Intelligent Social Network Interventions to Augment Human Cognition for Interdisciplinary Interactions in Project Teams, NSF, 2019-2023

  • Effective Labeled Data Generation via Generative Adversarial Learning, NSF, 2019-2022

  • Singed Networks: Modeling, Measuring, and Mining, NSF, 2019-2024

  • Sequential Learning with Side Information, NEC American Labs, 2019-2021

  • Side-channel Attacks Against Mobile Users: Singularity Detection, Behavior Identification, and Automated Rectification, NSF, 2018-2022

  • Reducing cardinality of solutions from a Hyper-Pareto front: Merging a grand tour with anomaly detection techniques in real-time, Living PlanIT, 2018-2021

  • Unsupervised Feature Selection in the Era of Big Data, NSF, 2017-2021

Completed Fundings

  • Rapid Construction of Heterogeneous Models, DARPA, 2018-2020

  • Machine Learning for Ordering, Ford, 2018-2020

  • Deep Reinforcement Learning for Advertising, Criteo Lab, 2018-2020

  • Semantic Entity Matching Phase II, MSU Business Center, 2019-2020

  • \#Cloud2Class: Exploring the Disruption and Reorganization of Educational Resources in the Age of Social Media, the American Educational Research Association, 2018-2019

  • Semantic Entity Matching Phase I, MSU Business Center, 2018-2019

  • A General Feature Learning Framework for Dynamic Attributed Networks, NSF, 2017-2020

  • Student Activities Support at 2017 SIAM International Conference on Data Mining (SDM), NSF, 2017-2019

  • Conflict of Interest Editing in Wikipedia, MSU CBSA, 2017-2018

  • Using Big Data to Detect Counterfeit Products, MSU CBSA, 2017-2018

  • Understanding the Temporal and Structural Dynamics of Emotion toward Emerging Diseases, MSU Trifecta, 2016-2017