Lingshen He

6 papers · 2020–2024 · 4 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 (15) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

ICML (2) NeurIPS (2) CVPR (1) ICLR (1)

Top co-authors

Zhouchen Lin (6) Zhengyang Shen (3) Yuxuan Chen (3) Yisen Wang (2) Yiming Dong (2) Mingjie Li (1) Yibo Yang (1) Dacheng Tao (1) Jinwen Ma (1) Yeqing Qiu (1)

Research topics

Deep Learning (6) Architectures (6) Computer Vision (4) Machine Learning (3) Analysis (3) Core AI (3) Techniques (3) Learning Types · Deep Learning (2) Application Areas (1) Core Methods (1) Learning Types · Machine Learning (1) Optimization & Theory (1)

Keywords

equivariant neural network (3) feature learning (2) convolutional neural network (2) computer vision (1) attention mechanism (1) transformation groups (1) geometric deep learning (1) group theory (1) efficient computing (1) convolutional network (1) partial differential equation (1) numerical stability (1) parameter efficiency (1) ordinary differential equation (1) residual network (1) group equivariance (1) skip connection (1) translation equivariance (1) rotation invariance (1) differential invariant (1)

Papers

Affine Equivariant Networks Based on Differential Invariants CVPR 2024 Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks ICLR 2023 Efficient Equivariant Network NeurIPS 2021 Gauge Equivariant Transformer NeurIPS 2021 Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability ICML 2020 PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions ICML 2020