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Xingquan Zhu

15 papers · 2013–2025 · 4 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

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+4 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (22)
πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (53)

Venues

IJCAI (10) AAAI (2) NeurIPS (2) ICML (1)

Top co-authors

Yi He (5) Shirui Pan (4) Jia Wu (3) Yufei Jin (3) Chengqi Zhang (3) Yang Wang (2) Heng Lian (2) Min Shi (2) Yufei Tang (2) Jianxun Liu (2)

Research topics

Machine Learning (11) Core Methods (11) Deep Learning (8) Architectures (6) Learning Types Β· Machine Learning (5) Application Areas (4) Learning Types Β· Deep Learning (3) Knowledge & Reasoning (2) Models (1) Reasoning (1) Representation (1) Techniques (1)

Keywords

node classification (5) graph neural network (5) group fairness (2) link prediction (2) heterogeneous graph (2) attention mechanism (2) label distribution learning (2) distribution shift (1) curriculum learning (1) metric learning (1) covariate shift (1) graph embedding (1) class imbalance (1) network structure (1) joint learning (1) matrix factorization (1) bias mitigation (1) graph transformer (1) synthetic data (1) adversarial training (1)

Papers

HGEN: Heterogeneous Graph Ensemble Networks IJCAI 2025 Metric-Agnostic Continual Learning for Sustainable Group Fairness AAAI 2025 Topology-aware Neural Flux Prediction Guided by Physics ICML 2025 Towards Fairness with Limited Demographics via Disentangled Learning IJCAI 2025 GLDL: Graph Label Distribution Learning AAAI 2024 HGDL: Heterogeneous Graph Label Distribution Learning NeurIPS 2024 Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data NeurIPS 2023 GAEN: Graph Attention Evolving Networks IJCAI 2021 Multi-Class Imbalanced Graph Convolutional Network Learning IJCAI 2020 Discriminative Sample Generation for Deep Imbalanced Learning IJCAI 2019 User Profile Preserving Social Network Embedding IJCAI 2017 Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness IJCAI 2016 Tri-Party Deep Network Representation IJCAI 2016 Multi-Graph-View Learning for Complicated Object Classification IJCAI 2015 Graph Classification with Imbalanced Class Distributions and Noise IJCAI 2013