Chaojie Ji

Orcid: 0000-0001-5502-7508

According to our database1, Chaojie Ji authored at least 15 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Causality-inspired Latent Feature Augmentation for Single Domain Generalization.
CoRR, 2024

REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices.
CoRR, 2024

2023
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

AdaPPI: identification of novel protein functional modules via adaptive graph convolution networks in a protein-protein interaction network.
Briefings Bioinform., January, 2023

A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets.
CoRR, 2023

A Global Optimization Algorithm for K-Center Clustering of One Billion Samples.
CoRR, 2023

2022
Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2022

Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering.
IEEE Trans. Cybern., 2022

Boundary-aware context neural network for medical image segmentation.
Medical Image Anal., 2022

Perturb more, trap more: Understanding behaviors of graph neural networks.
Neurocomputing, 2022

Cascaded context enhancement network for automatic skin lesion segmentation.
Expert Syst. Appl., 2022

2021
A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data.
IEEE Trans. Comput. Soc. Syst., 2021

WRS: A Novel Word-embedding Method for Real-time Sentiment with Integrated LSTM-CNN Model.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

2020
Cascade architecture with rhetoric long short-term memory for complex sentence sentiment analysis.
Neurocomputing, 2020

HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs.
CoRR, 2020


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