Juan Shu

According to our database, Juan Shu authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction.

Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Con-AAE: contrastive cycle adversarial autoencoders for single-cell multi-omics alignment and integration.

Xuesong Wang, Zhihang Hu, Tingyang Yu, Yixuan Wang, Ruijie Wang, Yumeng Wei, Juan Shu, Jianzhu Ma, Yu Li

Bioinform., April, 2023

2022

Understanding Dropout for Graph Neural Networks.

Juan Shu, Bowei Xi, Yu Li, Fan Wu, Charles A. Kamhoua, Jianzhu Ma

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Understanding Adversarial Examples Through Deep Neural Network's Classification Boundary and Uncertainty Regions.

Juan Shu, Bowei Xi, Charles A. Kamhoua

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

2021

Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration.

Xuesong Wang, Zhihang Hu, Tingyang Yu, Ruijie Wang, Yumeng Wei, Juan Shu, Jianzhu Ma, Yu Li

CoRR, 2021

Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions.

Juan Shu, Bowei Xi, Charles A. Kamhoua

CoRR, 2021

Disease gene prediction with privileged information and heteroscedastic dropout.

Juan Shu, Yu Li, Sheng Wang, Bowei Xi, Jianzhu Ma

Bioinform., 2021