Helen Qu

3 papers · 2024–2025 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 👥 Mega-Team · Squad

Venues

ICML (2) NeurIPS (1)

Top co-authors

Eric Wong (1) Weiqiu You (1) Benjamin M. Boyd (1) Jeroen Audenaert (1) Tom Hehir (1) Mike Walmsley (1) Bhuvnesh Jain (1) Ioana Ciucă (1) Brian Cherinka (1) Juan Rafael Martínez-Galarza (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Application Areas (2) Core AI (2) Learning Types · Machine Learning (2) Computer Vision (1) Domain-Specific (1) Learning Types · Deep Learning (1) Models (1) Techniques (1)

Keywords

time series analysis (1) image classification (1) contrastive learning (1) transfer learning (1) domain adaptation (1) interpretability (1) multimodal learning (1) remote sensing (1) time series (1) foundation model (1) end-to-end learning (1) self-supervised pretraining (1) large-scale multimodal dataset (1) scientific astronomical data (1) multi-channel image (1) large-scale machine learning (1) hyperspectral image (1) fine tuning (1) hyperspectral imaging (1) masked autoencoding (1)

Papers

Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups ICML 2025 Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations ICML 2024 The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data NeurIPS 2024