Andrew H. Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
6
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Do Multiple Instance Learning Models Transfer? | Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding, Faisal Mahmood |
| 2024 | CVPR | Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments. | Gan Gao, Andrew H. Song, Fiona Wang, David Brenes, Rui Wang, Sarah S. L. Chow, Kevin W. Bishop, Lawrence D. True, Faisal Mahmood, Jonathan T. C. Liu |
| 2024 | CVPR | Transcriptomics-Guided Slide Representation Learning in Computational Pathology. | Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood |
| 2024 | CVPR | Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. | Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood |
| 2024 | ECCV | Multistain Pretraining for Slide Representation Learning in Pathology. | Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood |
| 2024 | ICML | Multimodal Prototyping for cancer survival prediction. | Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood |
| 2022 | ICASSP | Mixture Model Auto-Encoders: Deep Clustering Through Dictionary Learning. | Alexander Lin, Andrew H. Song, Demba E. Ba |
| 2022 | ICASSP | High-Dimensional Sparse Bayesian Learning without Covariance Matrices. | Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba |
| 2022 | MICCAI | Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. | Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood |
| 2021 | UAI | PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components. | Andrew H. Song, Demba E. Ba, Emery N. Brown |
| 2020 | ICASSP | Channel-Attention Dense U-Net for Multichannel Speech Enhancement. | Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy |
| 2020 | ICML | Convolutional dictionary learning based auto-encoders for natural exponential-family distributions. | Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba |