Xiangxiang Xu

4 papers · 2019–2024 · 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 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (16) 🚀 Conference Pioneer

Venues

AAAI (1) ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Lizhong Zheng (4) Shao-Lun Huang (2) Junzhou Huang (1) Yuheng Bu (1) Xinyi Tong (1) Jiaxiang Wu (1) Lichen Wang (1) Hasan Sabri Melihcan Erol (1) Lin Zhang (1) Gregory W. Wornell (1)

Research topics

Machine Learning (4) Deep Learning (3) Core Methods (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Optimization & Theory (2) Artificial Intelligence (1) Application Areas (1) Architectures (1) Learning Paradigms (1)

Keywords

multimodal learning (2) representation learning (1) semi-supervised learning (1) feature learning (1) feature extraction (1) gradient-based optimization (1) knowledge transfer (1) sample complexity (1) function space (1) low-rank approximation (1) statistical dependence (1) singular value decomposition (1) spectral decomposition (1) feature geometry (1) task similarity (1) linear combination (1) correlation analysis (1) neural feature extractor (1) multi-source transfer learning (1) neural network (1)

Papers

Neural Feature Learning in Function Space JMLR 2024 Operator SVD with Neural Networks via Nested Low-Rank Approximation ICML 2024 A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning NeurIPS 2021 An Efficient Approach to Informative Feature Extraction from Multimodal Data AAAI 2019