Yusheng Dai

Orcid: 0000-0003-3211-3862

According to our database1, Yusheng Dai authored at least 14 papers between 2018 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition.
CoRR, 2024

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Multi-Modal Emotion Recognition Using Entropy-Based Fusion and Pruning-Based Network Architecture Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction.
CoRR, 2023

Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Summary on the Multimodal Information Based Speech Processing (MISP) 2022 Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Audio-Visual Speech Recognition in MISP2021 Challenge: Dataset Release and Deep Analysis.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021
Using IRP and local alignment method to detect distributed malware.
Comput. Secur., 2021

2019
An online log template extraction method based on hierarchical clustering.
EURASIP J. Wirel. Commun. Netw., 2019

SMASH: A Malware Detection Method Based on Multi-Feature Ensemble Learning.
IEEE Access, 2019

M4D: A Malware Detection Method Using Multimodal Features.
Proceedings of the Frontiers in Cyber Security - Second International Conference, 2019

2018
A malware classification method based on memory dump grayscale image.
Digit. Investig., 2018


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