Jiliang Tang– Fundings

Current Fundings

• Computation and Communication Efficient Distributed Learning, NSF, 2022-2026

• Graph Neural Networks for Heterophilous Data: Advancing the Theory, Models, and Applications, NSF, 2022-2026

• MSU Foundation Professor Fund, MSU, 2022-2027

• Student Activities Support at 2022 SIAM International Conference on Data Mining (SDM), NSF, 2022-2024

• Graph Neural Networks for Single-cell Analysis, Johnson&Johnson, 2022-2023

• Learn to Transform Graphs for Graph Neural Networks, SNAP Inc, 2022-2023

• Amazon Faculty Award, Amazon, 2022-2023

• Graph Neural Networks for Recommendation, The Home Depot, 2021-2022

• Knoweldge Graph Completion, Katana Graph, 2021-2022

• Cisco Faculty Award, Cisco System Inc, 2021-2022

• TRTech-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

• 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

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

Completed Fundings

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

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

• 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

• 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