Daoming Zong

Orcid: 0009-0004-8109-2943

According to our database1, Daoming Zong authored at least 13 papers between 2020 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

On csauthors.net:

Bibliography

2024
Toward Explainable Physical Audiovisual Commonsense Reasoning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Balancing Multimodal Learning via Online Logit Modulation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
BGNN-XML: Bilateral Graph Neural Networks for Extreme Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng., July, 2023

Multimodal Sentiment Analysis via Efficient Multimodal Transformer and Modality-Aware Adaptive Training Strategy.
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, 2023

Learning Aligned Audiovisual Representations for Multimodal Sentiment Analysis.
Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing, 2023

Building Robust Multimodal Sentiment Recognition via a Simple yet Effective Multimodal Transformer.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

AcFormer: An Aligned and Compact Transformer for Multimodal Sentiment Analysis.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Stable Speech Emotion Recognition with Head-k-Pooling Loss.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
LCBM: A Multi-View Probabilistic Model for Multi-Label Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

A Sequential Contrastive Learning Framework for Robust Dysarthric Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification.
CoRR, 2020


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