An interactive method for activity detection visualization. - Li Liu 028; Sedat Ozer; Karen G. Bemis; Jay Takle; Deborah Silver (LDAV, 2013)

Illustrative Visualization of Mesoscale Ocean Eddies. - Li Liu 028; Deborah Silver; Karen G. Bemis; Dujuan Kang; E. Curchitser (Comput. Graph. Forum, 2017)

Application-Driven Design: Help Students Understand Employment and See the "Big Picture". - Li Liu 028; Deborah Silver; Karen G. Bemis (IEEE Computer Graphics and Applications, 2018)

Visualizing Three-Dimensional Ocean Eddies in Web Browsers. - Li Liu 028; Deborah Silver; Karen G. Bemis (IEEE Access, 2019)

TAAN: Task-Aware Attention Network for Few-shot Classification. - Zhe Wang; Li Liu 028; Fanzhang Li (ICPR, 2020)

Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint. - Fang Dong; Li Liu 028; Fanzhang Li (Entropy, 2020)

Visualizing events in time-varying scientific data. - Li Liu 028; Deborah Silver; Karen G. Bemis (J. Vis., 2020)

Task-adaptive Relation Dependent Network for Few-shot Learning. - Xi He; Fanzhang Li; Li Liu 028 (IJCNN, 2021)

Improving Meta-Learning Classification with Prototype Enhancement. - Xiaohang Pan; Fanzhang Li; Li Liu 028 (IJCNN, 2021)

Visualizing Acoustic Imaging of Hydrothermal Plumes on the Seafloor. - Li Liu 028; Deborah Silver; Karen G. Bemis (IEEE Computer Graphics and Applications, 2021)

Continual meta-learning algorithm. - Mengjuan Jiang; Fanzhang Li; Li Liu 028 (Appl. Intell., 2022)

A Survey on Dynamic Fuzzy Machine Learning. - Li Liu 028; Fanzhang Li (ACM Comput. Surv., 2023)

A Lie group kernel learning method for medical image classification. - Li Liu 028; Haocheng Sun; Fanzhang Li (Pattern Recognit., 2023)

A lie group semi-supervised FCM clustering method for image segmentation. - Haocheng Sun; Li Liu 028; Fanzhang Li (Pattern Recognit., 2024)

A Lie group Laplacian Support Vector Machine for semi-supervised learning. - Yue Zhang; Li Liu 028; Qian Qiao; Fanzhang Li (Neurocomputing, 2025)