Xiaofeng Cao
18 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Conference Polyglot (7)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
(2)
π
Triple Crown
π
Grand Slam
ποΈ
Keyword Collector
(73)
β‘
Prolific Year
(7)
π
Century Club
(15)
Conferences
AAAI (4)
ICML (4)
IJCAI (4)
NIPS (3)
CVPR (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
zero-shot learning
(3)
knowledge distillation
(2)
hyperbolic geometry
(2)
active learning
(1)
contrastive learning
(1)
attention mechanism
(1)
multi-agent reinforcement learning
(1)
domain generalization
(1)
feature extraction
(1)
graph classification
(1)
video generation
(1)
optimal transport
(1)
convergence analysis
(1)
image generation
(1)
representation learning
(1)
semantic consistency
(1)
sharpness-aware minimization
(1)
out-of-distribution generalization
(1)
hierarchical alignment
(1)
federated learning
(1)
Papers
Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking
AAAI 2026
TR-DQ: Time-Rotation Diffusion Quantization
AAAI 2026
Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning
AAAI 2026
Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
ICML 2025
Concept Matching with Agent for Out-of-Distribution Detection
AAAI 2025
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
IJCAI 2025
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
ICLR 2024
Dual Expert Distillation Network for Generalized Zero-Shot Learning
IJCAI 2024
Deep Hierarchical Graph Alignment Kernels
IJCAI 2024
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
NIPS 2024
Mentored Learning: Improving Generalization and Convergence of Student Learner
JMLR 2024
Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization
NIPS 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
ICML 2024
Nonparametric Iterative Machine Teaching
ICML 2023
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships
ICML 2023
Nonparametric Teaching for Multiple Learners
NIPS 2023
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation
IJCAI 2019
Crowd Counting With Deep Negative Correlation Learning
CVPR 2018