An Improved Authenticated Skip List for Relational Query Authentication. - Jian Xu 004; Ze Cao; Qiong Xiao; Fucai Zhou (BWCCA, 2014)

Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids. - Nikhil Muralidhar; Jie Bu; Ze Cao; Long He; Naren Ramakrishnan; Danesh K. Tafti; Anuj Karpatne (CoRR, 2019)

PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. - Nikhil Muralidhar; Jie Bu; Ze Cao; Long He; Naren Ramakrishnan; Danesh K. Tafti; Anuj Karpatne (SDM, 2020)

Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems. - Nikhil Muralidhar; Jie Bu; Ze Cao; Long He; Naren Ramakrishnan; Danesh K. Tafti; Anuj Karpatne (Big Data, 2020)

PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. - Nikhil Muralidhar; Jie Bu; Ze Cao; Neil Raj; Naren Ramakrishnan; Danesh K. Tafti; Anuj Karpatne (ICDM, 2021)

Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies. - Ze Cao; Jian-wei Liu 006; Zi-Hao Cheng (ICONIP (4), 2022)

Hypergraph Neural Network Hawkes Process. - Zi-Hao Cheng; Jian-Wei Liu 006; Ze Cao (IJCNN, 2022)

InDL: A New Datasets and Benchmark for In-Diagram Logic Interpreting based on Visual Illusion. - Haobo Yang; Wenyu Wang; Ze Cao; Zhekai Duan; Xuchen Liu (CoRR, 2023)

Spoken language understanding via graph contrastive learning on the context-aware graph convolutional network. - Ze Cao; Jian-Wei Liu (Pattern Anal. Appl., 2024)