Boning Liu

Orcid: 0000-0002-3014-6049

Affiliations:
  • PengCheng Laboratory, Shenzhen, China
  • Tsinghua University, Department of Automation, Beijing, China
  • Jilin University, College of Communication Engineering, Changchun, China (PhD 2022)


According to our database1, Boning Liu authored at least 13 papers between 2019 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Investigating the Impact of Virtual Streamers on the Engagement of Generation Z Consumers: The Moderating Effect of Congruence.
J. Organ. End User Comput., 2025

Research on Natural Language Misleading Content Detection Method Based on Attention Mechanism.
IEEE Access, 2025

2024
5-D Epanechnikov Mixture-of-Experts in Light Field Image Compression.
IEEE Trans. Image Process., 2024

Implicit Surface Representation Using Epanechnikov Mixture Regression.
IEEE Signal Process. Lett., 2024

GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views.
CoRR, 2024

GPS-Gaussian: Generalizable Pixel-Wise 3D Gaussian Splatting for Real-Time Human Novel View Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
AvatarReX: Real-time Expressive Full-body Avatars.
ACM Trans. Graph., August, 2023

Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
4D Epanechnikov Mixture Regression in LF Image Compression.
IEEE Trans. Circuits Syst. Video Technol., 2022

2021
Three-dimensional Epanechnikov mixture regression in image coding.
Signal Process., 2021

3-D Epanechnikov Mixture Regression in integral imaging compression.
J. Vis. Commun. Image Represent., 2021

2019
An Image Coding Approach Based on Mixture-of-experts Regression Using Epanechnikov Kernel.
Proceedings of the IEEE International Conference on Acoustics, 2019


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