Ke Liang
31 papers · 2023–2026 · 8 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
Jump to papers ↓+5 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (55) π Conference Polyglot Β· Silver π¬ Deep Specialist (15) π€ Dynamic Duo (23)
π
Grand Slam
ποΈ
Keyword Collector
(151)
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(27)
Core Methods
(21)
Learning Types Β· Machine Learning
(13)
Deep Learning
(12)
Artificial Intelligence
(9)
Core AI
(9)
Data Science & Analytics
(7)
Applications
(7)
Learning Types Β· Deep Learning
(6)
Architectures
(5)
Optimization & Theory
(5)
Knowledge & Reasoning
(4)
Representation
(4)
Application Areas
(3)
Models
(3)
Keywords
multi-view clustering
(8)
graph neural network
(6)
representation learning
(5)
contrastive learning
(4)
knowledge graph completion
(3)
unsupervised learning
(3)
anchor-based clustering
(2)
anchor graph
(2)
anchor-based method
(2)
adversarial learning
(2)
federated learning
(2)
negative sampling
(2)
social recommendation
(2)
entity embedding
(2)
cross-view alignment
(2)
knowledge graph
(2)
anchor learning
(2)
self-supervised learning
(2)
incomplete multi-view clustering
(2)
graph learning
(1)
Papers
A General Anchor-Based Framework for Scalable Fair Clustering
AAAI 2026
CLUENet: Cluster Attention Makes Neural Networks Have Eyes
AAAI 2026
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
AAAI 2026
DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering
AAAI 2026
Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation
AAAI 2026
Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning
AAAI 2026
Plug-and-Play Incomplete Multi-View Clustering via Janus-Faced Affinity Learning with Topology Harmonization
CVPR 2026
PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models
AAAI 2026
TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models
AAAI 2026
COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering
ICML 2025
EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering
CVPR 2025
Efficient Federated Incomplete Multi-View Clustering
ICML 2025
Enhanced then Progressive Fusion with View Graph for Multi-View Clustering
CVPR 2025
Flow Matching for Denoised Social Recommendation
ICML 2025
From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
ICML 2025
FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing
IJCAI 2025
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
AAAI 2025
Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels
CVPR 2025
On the Adversarial Robustness of Multi-Kernel Clustering
ICML 2025
Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster
EMNLP 2025
Social Recommendation via Graph-Level Counterfactual Augmentation
AAAI 2025
Soft Reasoning Paths for Knowledge Graph Completion
IJCAI 2025
Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
NeurIPS 2024
Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding
NeurIPS 2024
Deep Temporal Graph Clustering
ICLR 2024
From Text to Historical Ecological Knowledge: The Construction and Application of the Shan Jing Knowledge Base
COLING 2024
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations
AAAI 2024
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering
CVPR 2024
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
AAAI 2024
Dink-Net: Neural Clustering on Large Graphs
ICML 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering
AAAI 2023