Kun Yang

Orcid: 0000-0002-9956-2200

Affiliations:
  • Fudan University, Academy for Engineering and Technology, Shanghai, China
  • Donghua University, Shanghai, China (2020)


According to our database1, Kun Yang authored at least 15 papers between 2022 and 2024.

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

Timeline

Legend:

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Bibliography

2024
AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System.
IEEE Trans. Ind. Informatics, February, 2024

A novel hierarchical distributed vehicular edge computing framework for supporting intelligent driving.
Ad Hoc Networks, February, 2024

Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities.
CoRR, 2024

Robust Emotion Recognition in Context Debiasing.
CoRR, 2024

Towards Multimodal Sentiment Analysis Debiasing via Bias Purification.
CoRR, 2024

A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences.
Knowl. Based Syst., April, 2023

How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What2comm: Towards Communication-efficient Collaborative Perception via Feature Decoupling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Novel Robust Reinforcement Learning-based Dependent Task Offloading Algorithm for Mobile Edge Intelligence.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Novel Multi-Factor Aware Online Scheduling Method for Improving Vehicular Edge Computing Efficiency.
Proceedings of the IEEE International Conference on Communications, 2023

A Novel Efficient Multi-View Traffic-Related Object Detection Framework.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Novel Distributed Task Scheduling Framework for Supporting Vehicular Edge Intelligence.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022


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