Xiang Liu

Affiliations:
  • Purdue University, Department of Computer and Information Technology, West Lafayette, IN, USA


According to our database1, Xiang Liu authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease.
J. Am. Medical Informatics Assoc., 2024

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease.
CoRR, 2024

Mesoscopic structure graphs for interpreting uncertainty in non-linear embeddings.
Comput. Biol. Medicine, 2024

xSiGra: explainable model for single-cell spatial data elucidation.
Briefings Bioinform., 2024

2023
SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment.
Briefings Bioinform., September, 2023

2021
Phoenixmap: An Abstract Approach to Visualize 2D Spatial Distributions.
IEEE Trans. Vis. Comput. Graph., 2021

2020
PENet: Object Detection using Points Estimation in Aerial Images.
CoRR, 2020

HOOD: High-Order Orthogonal Decomposition for Tensors.
Proceedings of the Smart Computing and Communication - 5th International Conference, 2020

PENet: Object Detection Using Points Estimation in High Definition Aerial Images.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Regression PCA for Moving Objects Separation.
Proceedings of the IEEE Global Communications Conference, 2020

2019
The Role of Multiple Representations and Representational Fluency in Cryptography Education.
Proceedings of the 20th Annual SIG Conference on Information Technology Education, 2019

TopicInk: Visualizing Disaster-Related Textual Data Using LDA Topic Modeling: Vast Challenge 2019: Honorable Mention for Clear Articulation of Methodology.
Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

Multiple Learning for Regression in Big Data.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Predicting Network Attacks with CNN by Constructing Images from NetFlow Data.
Proceedings of the 5th IEEE International Conference on Big Data Security on Cloud, 2019

Sparse Block Regression (SBR) for Big Data with Categorical Variables.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Phoenixmap: Spatio-Temporal Distribution Analysis With Deep Learning Classifications.
Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018

Deep CNN-Based Methods to Evaluate Neighborhood-Scale Urban Valuation Through Street Scenes Perception.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

A Study of Exact Ridge Regression for Big Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
A countermeasure against relay attack in NFC payment.
Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017


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