Yunfeng Cai
16 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
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Conferences
AISTATS (3)
NIPS (3)
AAAI (2)
ICLR (2)
ACL (1)
ECCV (1)
EMNLP (1)
ICCV (1)
ICML (1)
WACV (1)
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Keywords
matrix decomposition
(3)
principal component analysis
(2)
knowledge graph embedding
(2)
blind source separation
(1)
numerical optimization
(1)
canonical correlation analysis
(1)
link prediction
(1)
scene reconstruction
(1)
natural language understanding
(1)
neural network optimization
(1)
fisher discriminant analysis
(1)
tensor decomposition
(1)
information extraction
(1)
discriminant analysis
(1)
neural network compression
(1)
perturbation analysis
(1)
sparse optimization
(1)
independent subspace analysis
(1)
rule learning
(1)
wasserstein distance
(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
Neural Field Classifiers via Target Encoding and Classification Loss
ICLR 2024
MQuinE: a Cure for βZ-paradoxβ in Knowledge Graph Embedding
EMNLP 2024
Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs
NIPS 2023
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
ICCV 2023
Efficient Compact Bilinear Pooling via Kronecker Product
AAAI 2022
S2-MLP: Spatial-Shift MLP Architecture for Vision
WACV 2022
Constructing Orthogonal Convolutions in an Explicit Manner
ICLR 2022
Identification of Matrix Joint Block Diagonalization
AISTATS 2021
A Blind Block Term Decomposition of High Order Tensors
AAAI 2021
A Note on Sparse Generalized Eigenvalue Problem
NIPS 2021
Toward Faster and Simpler Matrix Normalization via Rank-1 Update
ECCV 2020
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
AISTATS 2020
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations
AISTATS 2020
Ratio Trace Formulation of Wasserstein Discriminant Analysis
NIPS 2020