Jun Yang

Orcid: 0000-0002-2124-0869

Affiliations:
  • Tongji University, Department of Computer Science and Technology, Shanghai, China
  • PSL Research University, Paris, France
  • Purdue University, Department of Mathematics, West Lafayette, IN, USA
  • Jiliang University, National and Local Joint Engineering Laboratories for Disaster Monitoring Technologies and Instruments, Hangzhou, China


According to our database1, Jun Yang authored at least 16 papers between 2019 and 2025.

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

Timeline

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2020
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2022
2023
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2025
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Superpixel semantics representation and pre-training for vision-language tasks.
Neurocomputing, 2025

2024
Deep Pixel-Wise Textures for Construction Waste Classification.
IEEE Trans Autom. Sci. Eng., July, 2024

Locally optimum watermark decoder based on fast quaternion generic polar complex exponential transform.
Multim. Tools Appl., May, 2024

Pixel Difference Convolutional Network for RGB-D Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

Time series-to-image encoding for saturation line prediction using channel and spatial-wise attention network.
Expert Syst. Appl., March, 2024

RP-SLAM: Real-time Photorealistic SLAM with Efficient 3D Gaussian Splatting.
CoRR, 2024

NeB-SLAM: Neural Blocks-based Salable RGB-D SLAM for Unknown Scenes.
CoRR, 2024

2023
Model-Agnostic Method: Exposing Deepfake Using Pixel-Wise Spatial and Temporal Fingerprints.
IEEE Trans. Big Data, December, 2023

GRFlift: uplift modeling for multi-treatment within GMV constraints.
Appl. Intell., February, 2023

Multiscale Superpixel Structured Difference Graph Convolutional Network for VL Representation.
CoRR, 2023

Task-oriented Memory-efficient Pruning-Adapter.
CoRR, 2023

2022
DCANet: Differential Convolution Attention Network for RGB-D Semantic Segmentation.
CoRR, 2022

2021
Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals.
CoRR, 2021

2020
A CNN-LSTM Model for Tailings Dam Risk Prediction.
IEEE Access, 2020

2019
Infrared Thermal Imaging-Based Crack Detection Using Deep Learning.
IEEE Access, 2019

Measure Dry Beach Length of Tailings Pond Using Deep Learning Algorithm.
Proceedings of the RICAI 2019: International Conference on Robotics, 2019


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