Ze Cao

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 7

Top Topics

Relational Queries

Top Venues

Publications

Haobo Yang, Wenyu Wang, Ze Cao, Zhekai Duan, Xuchen Liu
InDL: A New Datasets and Benchmark for In-Diagram Logic Interpreting based on Visual Illusion. CoRR (2023)
Zi-Hao Cheng, Jian-Wei Liu, Ze Cao
Hypergraph Neural Network Hawkes Process. IJCNN (2022)
Ze Cao, Jian-wei Liu, Zi-Hao Cheng
Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies. ICONIP (4) (2022)
Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. ICDM (2021)
Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems. Big Data 8 (5) (2020)
Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. SDM (2020)
Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids. CoRR (2019)
Jian Xu, Ze Cao, Qiong Xiao, Fucai Zhou
An Improved Authenticated Skip List for Relational Query Authentication. BWCCA (2014)