Yujun Yan
Orcid: 0000-0003-3776-4293
According to our database1,
Yujun Yan
authored at least 19 papers
between 2018 and 2024.
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Bibliography
2024
CoRR, 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification.
CoRR, 2024
Firmware Vulnerability Detection Algorithm Based on Matching Pattern-Specific Numerical Features With Structural Features.
IEEE Access, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
IEEE Data Eng. Bull., 2023
Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective.
CoRR, 2023
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Data Mining, 2022
2021
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks.
Proceedings of the International Conference on 3D Vision, 2021
2020
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018