Zhecheng Wang

Orcid: 0000-0003-4989-6971

According to our database1, Zhecheng Wang authored at least 20 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Optimized octree codec for geometry-based point cloud compression.
Signal Image Video Process., February, 2024

Near-Lossless Compression of Point Cloud Attribute Using Quantization Parameter Cascading and Rate-Distortion Optimization.
IEEE Trans. Multim., 2024

SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Local Geometry-Based Intra Prediction for Octree-Structured Geometry Coding of Point Clouds.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

Learning Lens Blur Fields.
CoRR, 2023

Optimization of octree-based adaptive geometry quantization via up-sampling for G-PCC.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Stimulus Motion: A Basic Influence Factor in Visual Search.
Proceedings of the 2023 International Conference on Power, 2023

Effect of Stimuli Shape on Visual Search Performance: A Selective Literature Review.
Proceedings of the 2023 International Conference on Power, 2023

Adaptive Geometry Reconstruction for Geometry-based Point Cloud Compression.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Design of Intelligent Real-Time Feedback System in Online Classroom.
Proceedings of the Cross-Cultural Design, 2023

2022
A clebsch method for free-surface vortical flow simulation.
ACM Trans. Graph., 2022

Logistic Regression Guided Coding of Single Child Mode for Point Cloud Geometry Compression.
Proceedings of the Picture Coding Symposium, 2022

Detecting Neighborhood Gentrification at Scale via Street-level Visual Data.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation.
CoRR, 2021

Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond.
CoRR, 2021

2020
Image Generation With Neural Cellular Automatas.
CoRR, 2020

Predicting Geographic Information with Neural Cellular Automata.
CoRR, 2020

Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Machine Learning for AC Optimal Power Flow.
CoRR, 2019


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