Ze Cao

According to our database, Ze Cao authored at least 8 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

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

2022

Hypergraph Neural Network Hawkes Process.

Zi-Hao Cheng, Jian-Wei Liu, Ze Cao

Proceedings of the International Joint Conference on Neural Networks, 2022

Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies.

Ze Cao, Jian-wei Liu, Zi-Hao Cheng

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

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

Proceedings of the IEEE International Conference on Data Mining, 2021

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

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

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019

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

2014

An Improved Authenticated Skip List for Relational Query Authentication.

Jian Xu, Ze Cao, Qiong Xiao, Fucai Zhou

Proceedings of the Ninth International Conference on Broadband and Wireless Computing, 2014