Xiaofeng Cao
18 papers · 2018–2026 · 7 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
Jump to papers ↓+5 more ↓ Show less ↑
π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (31) π Interdisciplinary Bridge Β· Bronze
π
Grand Slam
π
Triple Crown
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(88)
Top co-authors
Research topics
Machine Learning
(17)
Artificial Intelligence
(8)
Learning Types
(8)
Deep Learning
(6)
Core AI
(6)
Core Methods
(6)
Application Areas
(5)
Optimization & Theory
(5)
Architectures
(4)
Computer Vision
(3)
Analysis
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Models
(2)
Data Science & Analytics
(1)
Learning Paradigms Β· Machine Learning
(1)
Keywords
zero-shot learning
(3)
hyperbolic geometry
(2)
hyperbolic space
(2)
knowledge distillation
(2)
adversarial attack
(2)
optimal transport
(1)
contrastive learning
(1)
active learning
(1)
feature extraction
(1)
domain generalization
(1)
graph classification
(1)
video generation
(1)
multi-agent reinforcement learning
(1)
attention mechanism
(1)
semantic consistency
(1)
image generation
(1)
convergence analysis
(1)
sharpness-aware minimization
(1)
implicit representation
(1)
adversarial robustness
(1)
Papers
Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking
AAAI 2026
Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning
AAAI 2026
TR-DQ: Time-Rotation Diffusion Quantization
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
Deep Hierarchical Graph Alignment Kernels
IJCAI 2024
Dual Expert Distillation Network for Generalized Zero-Shot Learning
IJCAI 2024
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
NeurIPS 2024
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
ICLR 2024
Mentored Learning: Improving Generalization and Convergence of Student Learner
JMLR 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
ICML 2024
Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization
NeurIPS 2024
Nonparametric Iterative Machine Teaching
ICML 2023
Nonparametric Teaching for Multiple Learners
NeurIPS 2023
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships
ICML 2023
Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation
IJCAI 2019
Crowd Counting With Deep Negative Correlation Learning
CVPR 2018