Feijiang Li
15 papers · 2021–2026 · 5 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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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π€ Dynamic Duo (10)
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Prolific Year Β· Productive
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Renaissance Researcher
(6)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Core Methods
(13)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Core AI
(3)
Data Science & Analytics
(2)
Mathematics & Optimization
(2)
Applications
(2)
Architectures
(2)
Mathematics
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Keywords
contrastive learning
(2)
clustering ensemble
(2)
time series forecasting
(2)
representation learning
(2)
multi-label classification
(1)
feature learning
(1)
semi-supervised learning
(1)
multi-label learning
(1)
reinforcement learning
(1)
cross-domain learning
(1)
time series clustering
(1)
depth estimation
(1)
deep clustering
(1)
multi-view learning
(1)
margin maximization
(1)
k-means clustering
(1)
hilbert-schmidt independence criterion
(1)
fourier transform
(1)
signal-to-noise ratio
(1)
unsupervised learning
(1)
Papers
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting
AAAI 2026
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
AAAI 2026
Frequency-Aware Deep Depth from Focus
IJCAI 2025
k-HyperEdge Medoids for Clustering Ensemble
AAAI 2025
PASD: A Pixel-Adaptive Swarm Dynamics Approach for Unsupervised Low-Light Image Enhancement
ICCV 2025
Robust Automatic Modulation Classification with Fuzzy Regularization
ICML 2025
Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label
AAAI 2025
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
AAAI 2025
Stabilizing Sample Similarity in Representation via Mitigating Random Consistency
ICML 2025
Trusted Multi-View Classification with Expert Knowledge Constraints
ICML 2025
View-Association-Guided Dynamic Multi-View Classification
IJCAI 2025
Cross-Domain Contrastive Learning for Time Series Clustering
AAAI 2024
Deep Embedding Clustering Driven by Sample Stability
IJCAI 2024
Neural Collapse To Multiple Centers For Imbalanced Data
NeurIPS 2024
GoT: a Growing Tree Model for Clustering Ensemble
AAAI 2021