Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy L Orsborn, Eli Shlizerman. "AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity." Thirty-seventh Conference on Neural Information Processing Systems. 2023.
Jingyuan Li, Trung Le, and Eli Shlizerman. "AL-SAR: Active Learning for Skeleton-Based Action Recognition." IEEE Transactions on Neural Networks and Learning Systems (2023).
Jingyuan Li, Moishe Keselman, and Eli Shlizerman. "OpenLabCluster: Active learning based clustering and classification of animal behaviors in videos based on automatically extracted kinematic body keypoints." bioRxiv (2022): 2022-10.
Jingyuan Li and Eli Shlizerman. "Iterate & cluster: Iterative semi-supervised action recognition." arXivpreprint arXiv:2006.06911, 2020
Jingyuan LI and Eli Shlizerman. "Sparse Semi-Supervised Action Recognition with Active Learning " arXivpreprint arXiv:2012.01740, 2020.
Jingyuan Li, Yujing Gong, and Xiaoying Tang. "Hierarchical Subcortical Sub-Regional Shape Network Analysis in Alzheimer’s Disease." Neuroscience 366 (2017): 70-83.
Tang, X., Chen, N., Zhang, S., Jones, J. A., Zhang, B., Li, J., ... & Liu, H. (2018) "Predicting auditory feedback control of speech production from subregional shape of subcortical structures." Human brain mapping 39.1 (2018): 459-471.
Gong, Y., Wu, H., Li, J., Wang, N., Liu, H., & Tang, X. (2018). Multi-granularity whole-brain segmentation based functional network analysis using resting-state fMRI. Frontiers in Neuroscience, 12, 942.
Jingyuan Li, Yujing Gong, Xiaoying Tang, Subcortical Surface Brain Network Abnormality in Alzheimer’s Disease, 2017th Organization for Human Brain Mapping Conference.