Guoxian Yu

25 papers · 2013–2026 · 2 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🌍 Conference Polyglot (2)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (12) 🤝 Dynamic Duo (19) 💎 Century Club (22) 🚀 Conference Pioneer ⚡ Prolific Year (5) 🗃️ Keyword Collector (114)

Conferences

AAAI (14) IJCAI (11)

Top co-authors

Jun Wang (22) Carlotta Domeniconi (18) Maozu Guo (4) Zili Zhang (4) Xiangliang Zhang (4) Wei Du (3) Yanyu Xu (3) Jinglin Zhang (3) Lizhen Cui (3) Qiaoyu Tan (3)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

representation learning (4) multiple clustering (4) federated learning (3) matrix factorization (3) directed acyclic graph (3) multi-view clustering (3) causal discovery (3) multi-label learning (3) multi-view learning (3) contrastive learning (3) causal graph (2) causal structure learning (2) label propagation (2) multi-instance learning (2) multimodal learning (2) cross-modal hashing (2) few-shot learning (1) feature learning (1) dimensionality reduction (1) semi-supervised learning (1)

Papers

Cancer Survival Prediction by Cyclic Generation and Multi-grained Alignment AAAI 2026 Counterfactual Fairness with Imperfect Causal Graphs AAAI 2026 MLLM Enriched Explainable Multiple Clustering AAAI 2026 Aligning Contrastive Multiple Clusterings with User Interests IJCAI 2025 Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation IJCAI 2025 Multi-Agent Communication with Information Preserving Graph Contrastive Learning IJCAI 2025 Emergence-Inspired Multi-Granularity Causal Learning AAAI 2025 Multi-Granularity Causal Structure Learning AAAI 2024 Multi-Dimensional Fair Federated Learning AAAI 2024 Federated Causality Learning with Explainable Adaptive Optimization AAAI 2024 Reinforcement Causal Structure Learning on Order Graph AAAI 2023 Long-Tail Cross Modal Hashing AAAI 2023 Incentive-Boosted Federated Crowdsourcing AAAI 2023 Few-Shot Partial-Label Learning IJCAI 2021 Crowdsourcing with Multiple-Source Knowledge Transfer IJCAI 2020 Multi-View Multiple Clusterings Using Deep Matrix Factorization AAAI 2020 Weakly-Supervised Multi-view Multi-instance Multi-label Learning IJCAI 2020 Ranking-Based Deep Cross-Modal Hashing AAAI 2019 Multiple Independent Subspace Clusterings AAAI 2019 Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization AAAI 2019 ActiveHNE: Active Heterogeneous Network Embedding IJCAI 2019 Multi-View Multiple Clustering IJCAI 2019 Multi-Label Co-Training IJCAI 2018 Incomplete Multi-View Weak-Label Learning IJCAI 2018 Protein Function Prediction by Integrating Multiple Kernels IJCAI 2013