Zhao Kang
27 papers · 2017–2026 · 10 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 ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π¬
Deep Specialist
(13)
π
Grand Slam
π
Keyword Champion
(2)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Silver
ποΈ
Keyword Collector
(132)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(23)
Core Methods
(20)
Learning Types Β· Machine Learning
(11)
Deep Learning
(10)
Architectures
(9)
Artificial Intelligence
(6)
Natural Language Processing
(5)
Core AI
(5)
Applications
(4)
Application Areas
(3)
Mathematics & Optimization
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Optimization & Theory
(2)
Keywords
graph neural network
(8)
contrastive learning
(4)
unsupervised learning
(3)
graph clustering
(3)
representation learning
(3)
graph construction
(2)
semi-supervised classification
(2)
multi-view clustering
(2)
few-shot learning
(2)
graph filter
(2)
multi-view learning
(2)
kernel methods
(2)
node representation
(2)
spectral clustering
(2)
manifold learning
(1)
domain generalization
(1)
self-attention mechanism
(1)
semi-supervised learning
(1)
dimensionality reduction
(1)
cluster analysis
(1)
Papers
Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction
AAAI 2026
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes
AAAI 2026
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
COLING 2025
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training
IJCAI 2025
Cooperation of Experts: Fusing Heterogeneous Information with Large Margin
ICML 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
ICML 2025
One Node One Model: Featuring the Missing-Half for Graph Clustering
AAAI 2025
On the Benefits of Attribute-Driven Graph Domain Adaptation
ICLR 2025
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
NeurIPS 2024
FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction
COLING 2024
Fine-Grained Bipartite Concept Factorization for Clustering
CVPR 2024
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering
AAAI 2024
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering
EMNLP 2024
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
AAAI 2024
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
ICML 2023
Eliminating Gradient Conflict in Reference-Based Line-Art Colorization
ECCV 2022
Graph Filter-based Multi-view Attributed Graph Clustering
IJCAI 2021
Multi-view Contrastive Graph Clustering
NeurIPS 2021
Self-Paced Two-dimensional PCA
AAAI 2021
Large-Scale Multi-View Subspace Clustering in Linear Time
AAAI 2020
On Deep Unsupervised Active Learning
IJCAI 2020
Latent Multi-view Semi-Supervised Classification
ACML 2019
Multiple Partitions Aligned Clustering
IJCAI 2019
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices
CVPR 2019
Similarity Learning via Kernel Preserving Embedding
AAAI 2019
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification
IJCAI 2018
Subspace Clustering via Variance Regularized Ridge Regression
CVPR 2017