Feijiang Li
15 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🏃 Academic Marathon (5)
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Conference Polyglot
(5)
🐝
Cross-Pollinator
(7)
🤝
Dynamic Duo
(10)
💎
Century Club
(13)
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Prolific Year
(9)
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Keyword Collector
(73)
Conferences
AAAI (7)
ICML (3)
IJCAI (3)
ICCV (1)
NIPS (1)
Top co-authors
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)
hilbert-schmidt independence criterion
(1)
multi-view learning
(1)
k-means clustering
(1)
fourier transform
(1)
unsupervised learning
(1)
local rademacher complexity
(1)
multi-view clustering
(1)
Papers
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
AAAI 2026
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting
AAAI 2026
k-HyperEdge Medoids for Clustering Ensemble
AAAI 2025
Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label
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
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
AAAI 2025
Trusted Multi-View Classification with Expert Knowledge Constraints
ICML 2025
Stabilizing Sample Similarity in Representation via Mitigating Random Consistency
ICML 2025
Frequency-Aware Deep Depth from Focus
IJCAI 2025
View-Association-Guided Dynamic Multi-View Classification
IJCAI 2025
Neural Collapse To Multiple Centers For Imbalanced Data
NIPS 2024
Cross-Domain Contrastive Learning for Time Series Clustering
AAAI 2024
Deep Embedding Clustering Driven by Sample Stability
IJCAI 2024
GoT: a Growing Tree Model for Clustering Ensemble
AAAI 2021