Yujun Yan
Orcid: 0000-0003-3776-4293
According to our database1,
Yujun Yan
authored at least 29 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, July, 2025
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift.
CoRR, May, 2025
CoRR, February, 2025
Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks.
CoRR, 2024
Firmware Vulnerability Detection Algorithm Based on Matching Pattern-Specific Numerical Features With Structural Features.
IEEE Access, 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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