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2020 – today
- 2023
[i2]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 abs/2305.17716 (2023)- 2022
- [c5]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: 53-64 - [c4]Zi-Hao Cheng, Jian-Wei Liu, Ze Cao:
Hypergraph Neural Network Hawkes Process. IJCNN 2022: 1-6 - 2021
- [c3]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: 1246-1251 - 2020
- [j1]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): 431-449 (2020) - [c2]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: 559-567
2010 – 2019
- 2019
- [i1]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 abs/1911.04240 (2019) - 2014
- [c1]Jian Xu, Ze Cao, Qiong Xiao, Fucai Zhou:
An Improved Authenticated Skip List for Relational Query Authentication. BWCCA 2014: 229-232
Coauthor Index
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