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← Authors

Zhao Kang

27 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (13) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (115) πŸš€ Conference Pioneer πŸ’Ž Century Club (25) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter ⚑ Prolific Year (6)

Conferences

AAAI (8) IJCAI (5) CVPR (3) ICML (3) COLING (2) NIPS (2) ACML (1) ECCV (1) EMNLP (1) ICLR (1)

Top co-authors

Wenyu Chen (5) Quanjiang Guo (4) Ling Tian (4) Zenglin Xu (4) Chong Peng (4) Bingheng Li (4) ErLin Pan (4) Yuanzhang Su (3) Shuo Wang (3) Sijie Wang (3)

Keywords

graph neural network (7) contrastive learning (4) graph clustering (3) representation learning (3) unsupervised learning (3) graph construction (2) semi-supervised classification (2) kernel methods (2) node representation (2) few-shot learning (2) multi-view clustering (2) multi-view learning (2) graph filter (2) spectral clustering (2) feature extraction (1) manifold learning (1) self-attention mechanism (1) label propagation (1) semi-supervised learning (1) dimensionality reduction (1)

Papers

ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes AAAI 2026 Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction AAAI 2026 BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition COLING 2025 Cooperation of Experts: Fusing Heterogeneous Information with Large Margin ICML 2025 On the Benefits of Attribute-Driven Graph Domain Adaptation ICLR 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 Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training IJCAI 2025 Fine-Grained Bipartite Concept Factorization for Clustering CVPR 2024 Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning NIPS 2024 PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering AAAI 2024 Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering AAAI 2024 FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction COLING 2024 Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering EMNLP 2024 Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering ICML 2023 Eliminating Gradient Conflict in Reference-Based Line-Art Colorization ECCV 2022 Multi-view Contrastive Graph Clustering NIPS 2021 Graph Filter-based Multi-view Attributed Graph Clustering IJCAI 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 Similarity Learning via Kernel Preserving Embedding AAAI 2019 RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices CVPR 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