Yunfeng Cai

16 papers · 2020–2026 · 10 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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🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🏆 Grand Slam

🏆 Grand Slam 🤝 Dynamic Duo (11) 🗃️ Keyword Collector (73) 🔥 Unstoppable · Bronze 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze

Venues

AISTATS (3) NeurIPS (3) AAAI (2) ICLR (2) ACL (1) ECCV (1) EMNLP (1) ICCV (1) ICML (1) WACV (1)

Top co-authors

Ping Li (11) Mingming Sun (7) Tan Yu (4) Zeke Xie (3) Haoran Wang (2) Huang Fang (2) Xindi Yang (2) Buhua Liu (1) Minlong Peng (1) Xiong Zhou (1)

Research topics

Machine Learning (9) Core Methods (6) Optimization & Theory (6) Deep Learning (5) Mathematics & Optimization (5) Optimization (5) Artificial Intelligence (4) Core AI (4) Mathematics (4) Knowledge & Reasoning (3) Architectures (3) Representation (3) Computer Vision (2) Models (2) Reasoning (2)

Keywords

matrix decomposition (3) neural radiance field (2) principal component analysis (2) knowledge graph embedding (2) neural network optimization (1) tensor decomposition (1) blind source separation (1) scene reconstruction (1) link prediction (1) natural language understanding (1) image reconstruction (1) numerical optimization (1) fisher discriminant analysis (1) canonical correlation analysis (1) discriminant analysis (1) information extraction (1) perturbation analysis (1) sparse optimization (1) independent subspace analysis (1) neural network compression (1)

Papers

Lingua-Graph: A Unified Representation of Cross-Task Common Substructures for Analytic Language Processing ACL 2026 Investigating the Overlooked Hessian Structure: From CNNs to LLMs ICML 2025 MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding EMNLP 2024 Neural Field Classifiers via Target Encoding and Classification Loss ICLR 2024 Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs NeurIPS 2023 S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields ICCV 2023 Constructing Orthogonal Convolutions in an Explicit Manner ICLR 2022 Efficient Compact Bilinear Pooling via Kronecker Product AAAI 2022 S2-MLP: Spatial-Shift MLP Architecture for Vision WACV 2022 A Blind Block Term Decomposition of High Order Tensors AAAI 2021 A Note on Sparse Generalized Eigenvalue Problem NeurIPS 2021 Identification of Matrix Joint Block Diagonalization AISTATS 2021 An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem AISTATS 2020 Ratio Trace Formulation of Wasserstein Discriminant Analysis NeurIPS 2020 Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations AISTATS 2020 Toward Faster and Simpler Matrix Normalization via Rank-1 Update ECCV 2020