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 23 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations.
IEEE Trans. Circuits Syst. Video Technol., December, 2024

Towards Context-Aware Emotion Recognition Debiasing From a Causal Demystification Perspective via De-Confounded Training.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Efficient Vehicular Collaborative Perception Based on Saptial-Temporal Feature Compression.
IEEE Trans. Veh. Technol., November, 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

Towards Asynchronous Multimodal Signal Interaction and Fusion via Tailored Transformers.
IEEE Signal Process. Lett., 2024

The evolution of detection systems and their application for intelligent transportation systems: From solo to symphony.
Comput. Commun., 2024

Guidelines for Parameter Selection in Traffic Light Control Methods Using Reinforcement Learning: Insights from Empirical Studies.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Align Before Collaborate: Mitigating Feature Misalignment for Robust Multi-agent Perception.
Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Multimodal Sentiment Analysis Debiasing via Bias Purification.
Proceedings of the Computer Vision - ECCV 2024, 2024

Robust Emotion Recognition in Context Debiasing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

2021
Local filter-based sequential and distributed fusion state estimation for nonlinear multi-sensor systems with asynchronously correlated noises.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021


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