Yihong Huang
Orcid: 0009-0007-9657-5720
According to our database1,
Yihong Huang
authored at least 16 papers
between 2021 and 2025.
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Bibliography
2025
GraphCogent: Overcoming LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding.
CoRR, August, 2025
IEEE Trans. Neural Networks Learn. Syst., June, 2025
ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry.
CoRR, March, 2025
Noninvasive early prediction of preeclampsia in pregnancy using retinal vascular features.
npj Digit. Medicine, 2025
2024
GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient Cohesion.
CoRR, 2024
A time-series neural network for pig feeding behavior recognition and dangerous detection from videos.
Comput. Electron. Agric., 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
Unleashing the Potential of Unsupervised Deep Outlier Detection through Automated Training Stopping.
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Are we really making much progress in unsupervised graph outlier detection? Revisiting the problem with new insight and superior method.
CoRR, 2022
VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
Multimodal analysis of gene expression from postmortem brains and blood identifies synaptic vesicle trafficking genes to be associated with Parkinson's disease.
Briefings Bioinform., 2021