Xingquan Zhu
15 papers · 2013–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Cross-Pollinator (11) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (24)
π
Conference Polyglot
(4)
π
Academic Marathon
(12)
π
Century Club
(15)
π
Trend Setter
π
Conference Pioneer
Conferences
IJCAI (10)
AAAI (2)
NIPS (2)
ICML (1)
Top co-authors
Keywords
node classification
(5)
graph neural network
(4)
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 datum
(1)
adversarial training
(1)
Papers
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025
Metric-Agnostic Continual Learning for Sustainable Group Fairness
AAAI 2025
Topology-aware Neural Flux Prediction Guided by Physics
ICML 2025
HGEN: Heterogeneous Graph Ensemble Networks
IJCAI 2025
HGDL: Heterogeneous Graph Label Distribution Learning
NIPS 2024
GLDL: Graph Label Distribution Learning
AAAI 2024
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
NIPS 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
Tri-Party Deep Network Representation
IJCAI 2016
Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness
IJCAI 2016
Multi-Graph-View Learning for Complicated Object Classification
IJCAI 2015
Graph Classification with Imbalanced Class Distributions and Noise
IJCAI 2013