Meiqi Wu

Orcid: 0009-0007-3155-4013

According to our database1, Meiqi Wu authored at least 12 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

Evaluation of a novel PET tracer [18F]-Florbetazine for Alzheimer's disease diagnosis and β-amyloid deposition quantification.
NeuroImage, 2024

DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM.
CoRR, 2024

Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark.
CoRR, 2024

The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention.
CoRR, 2024

VS-LLM: Visual-Semantic Depression Assessment Based on LLM for Drawing Projection Test.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MNSSA: Meso-level Network Security Situation Awareness for ICS via Graph Evolution Analysis.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal Relationship.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
An Improved Combined Compromise Solution Method to Select the Best Means of Transport for Travelling.
Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022

An Improved TODIM Method With Z-number and Its Application in Ranking.
Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022

2019
A deep learning method to more accurately recall known lysine acetylation sites.
BMC Bioinform., December, 2019


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