Yujun Yan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Biological Data

Structural Features

Graph Representation

Semi Supervised Clustering Algorithm

Top Venues

Publications

Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification. CoRR (2024)
Vipul Gupta, Xin Chen, Ruoyun Huang, Fanlong Meng, Jianjun Chen, Yujun Yan
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs. CoRR (2024)
Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. CoRR (2024)
Peng Liu, Yasu Cao, Yujun Yan, Yong Wang
Firmware Vulnerability Detection Algorithm Based on Matching Pattern-Specific Numerical Features With Structural Features. IEEE Access 12 (2024)
Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning. CoRR (2024)
Jiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra
Heterophily and Graph Neural Networks: Past, Present and Future. IEEE Data Eng. Bull. 46 (2) (2023)
Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. CoRR (2023)
Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. KDD (2023)
Yujun Yan, Gaotang Li, Danai Koutra
Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective. CoRR (2023)
Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. ICDM (2022)
Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. WWW (2022)
Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. 3DV (2021)
Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. CoRR (2021)
Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. CoRR (2021)
Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. CoRR (2021)
Zhengming Zhang, Yaoqing Yang, Zhewei Yao, Yujun Yan, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models. IEEE BigData (2021)
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs. NeurIPS (2020)
Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi
Neural Execution Engines: Learning to Execute Subroutines. NeurIPS (2020)
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
Generalizing Graph Neural Networks Beyond Homophily. CoRR (2020)
Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi
Neural Execution Engines: Learning to Execute Subroutines. CoRR (2020)
Zhengming Zhang, Zhewei Yao, Yaoqing Yang, Yujun Yan, Joseph E. Gonzalez, Michael W. Mahoney
Benchmarking Semi-supervised Federated Learning. CoRR (2020)
Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data. KDD (2019)
Yujun Yan, Mark Heimann, Di Jin, Danai Koutra
Fast Flow-based Random Walk with Restart in a Multi-query Setting. SDM (2018)