Yuhang Zeng

Orcid: 0009-0005-6884-1361

According to our database1, Yuhang Zeng authored at least 13 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CelloCut: Constructive Watertight Remeshing via Tetrahedral Cell Cuts.
CoRR, May, 2026

VizQStudio: Iterative Visualization Literacy MCQs Design with Simulated Students.
CoRR, March, 2026

2025
Universally Composable Termination Analysis of Tendermint.
CoRR, October, 2025

Information poverty in Southwest China: self and interactive behaviors among heterogeneous rural groups.
J. Documentation, 2025

A stable and efficient semi-implicit coupling method for fluid-structure interaction problems with immersed boundaries in a hybrid CPU-GPU framework.
J. Comput. Phys., 2025

On the Termination of the HotStuff Protocol Within the Universally Composable Framework.
IACR Cryptol. ePrint Arch., 2025

Prompting disentangled embeddings for knowledge graph completion with pre-trained language model.
Expert Syst. Appl., 2025

Single-Carrier Spreading Joint Communication and Radar Design for RF Chain Isolation Alleviation.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Titan-I: An Open-Source, High Performance RISC-V Vector Core.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

2024
Designing Scaffolding Strategies for Conversational Agents in Dialog Task of Neurocognitive Disorders Screening.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2022
Low Light Video Enhancement Based on Temporal-Spatial Complementary Feature.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
$\mathrm 3D^2Unet$: 3D Deformable Unet for Low-Light Video Enhancement.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2019
A Resources-Efficient Configurable Accelerator for Deep Convolutional Neural Networks.
IEEE Access, 2019


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