Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Jia Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CIF: Small: Interpretable Machine Learning based on Deep Neural Networks: A Source Coding Perspective
Li, J. (PI) & Siegel, J. W. (CoPI)
10/1/22 → 9/30/25
Project: Research project
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CCRI: Planning: Planning to Develop a Body Language Dataset for the Artificial Intelligence Research Community
Wang, J. (PI), Li, J. (CoPI), Adams, Jr., R. (CoPI), Newman, M. G. (CoPI) & Rajtmajer, S. (CoPI)
9/1/19 → 8/31/21
Project: Research project
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EAGER-DynamicData: Generative Statistical Modeling for Dynamic and Distributed Data
Li, J. (PI)
9/1/15 → 8/31/18
Project: Research project
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High-risk doctors: early identification and intervention to protect patients from harm
Wang, J. (PI), Li, J. (CoPI), Adams, Jr., R. (CoPI), Newman, M. G. (CoPI) & Bismark, M. M. (PI)
8/1/11 → 12/31/19
Project: Research project
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A Machine Learning Paradigm for Studying Pictorial Realism: How Accurate are Constable's Clouds?
Zhang, Z., Mansfield, E. C., Li, J., Russell, J., Young, G. S., Adams, C., Bowley, K. A. & Wang, J. Z., Jan 1 2024, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46, 1, p. 33-42 10 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Explainable machine learning by SEE-Net: closing the gap between interpretable models and DNNs
Seo, B. & Li, J., Dec 2024, In: Scientific reports. 14, 1, 26302.Research output: Contribution to journal › Article › peer-review
Open Access -
GeM-LR: Discovering predictive biomarkers for small datasets in vaccine studies
Lin, L., Spreng, R. L., Seaton, K. E., Moses Dennison, S., Dahora, L. C., Schuster, D. J., Sawant, S., Gilbert, P. B., Fong, Y., Kisalu, N., Pollard, A. J., Tomaras, G. D. & Li, J., Nov 2024, In: PLoS computational biology. 20, 11 November, e1012581.Research output: Contribution to journal › Article › peer-review
Open Access -
Learning Performance Maximizing Ensembles with Explainability Guarantees
Pisztora, V. & Li, J., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 13, p. 14617-14624 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
How Personalist Parties Undermine State Capacity in Democracies
Li, J. & Wright, J., Nov 2023, In: Comparative Political Studies. 56, 13, p. 2030-2065 36 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations