Shengju Yu
14 papers · 2024–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer
π
Grand Slam
π€
Dynamic Duo
(11)
β‘
Prolific Year
(6)
π
Century Club
(13)
Conferences
ICML (6)
AAAI (4)
ICLR (2)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
anchor graph
(2)
unsupervised learning
(2)
spectral embedding
(2)
representation learning
(2)
multi-view clustering
(2)
self-supervised learning
(1)
hierarchical clustering
(1)
model safety
(1)
cross-view alignment
(1)
ai safety
(1)
mahalanobis distance
(1)
nonparametric clustering
(1)
recommendation system
(1)
jailbreak attack
(1)
multi-view datum
(1)
anchor learning
(1)
anchor selection
(1)
user behavior modeling
(1)
incomplete multi-view clustering
(1)
defense mechanism
(1)
Papers
Parameter-Free Clustering via Self-Supervised Consensus Maximization
AAAI 2026
DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization
ICLR 2025
Efficient Federated Incomplete Multi-View Clustering
ICML 2025
Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
ICML 2025
From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
ICML 2025
Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
ICLR 2025
Safety in Large Reasoning Models: A Survey
EMNLP 2025
Max-Mahalanobis Anchors Guidance for Multi-View Clustering
AAAI 2025
Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation
ICML 2024
A Non-parametric Graph Clustering Framework for Multi-View Data
AAAI 2024
DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering
AAAI 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation
NIPS 2024
Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
ICML 2024
Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering
ICML 2024