Shigang Chen

4 papers · 2023–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 📈 Trend Setter

Venues

AAAI (2) ICML (1) NeurIPS (1)

Top co-authors

Tingsong Xiao (4) Zhe Jiang (4) Zelin Xu (4) Wenchong He (3) Yupu Zhang (2) Zibo Liu (2) Christine Angelini (1) Yang Zhou (1) Ronald Fick (1) Parisa Rashidi (1)

Research topics

Deep Learning (4) Machine Learning (3) Architectures (3) Learning Types · Deep Learning (3) Artificial Intelligence (2) Core AI (2) Computer Vision (1) Application Areas (1) Core Methods (1) Domain-Specific (1) Learning Types · Machine Learning (1) Optimization & Theory (1) Techniques (1)

Keywords

transformer architecture (1) representation learning (1) semantic segmentation (1) vision transformer (1) uncertainty quantification (1) weakly supervised learning (1) remote sensing (1) deep neural network (1) electronic health record (1) spatial reasoning (1) temporal point process (1) neural-symbolic learning (1) spatial transformer (1) multi-scale attention (1) spatial attention (1) neural-symbolic integration (1) flood mapping (1) external forcing (1) multi-resolution representation learning (1) quad-tree hierarchy (1)

Papers

CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes ICML 2025 XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications AAAI 2025 Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery AAAI 2024 A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space NeurIPS 2023