Feilong Cao
10 papers · 2023–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 🌍 Conference Polyglot · Bronze 🗃️ Keyword Collector (56) ⚡ Prolific Year · Productive
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The Questioner
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Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(9)
Architectures
(9)
Machine Learning
(8)
Learning Types
(4)
Core Methods
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Natural Language Processing
(2)
Analysis
(2)
Core AI
(2)
Interdisciplinary
(1)
Applications
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
contrastive learning
(4)
hyperedge prediction
(2)
self-supervised hypergraph learning
(2)
multimodal fusion
(2)
self-supervised learning
(1)
emotion recognition
(1)
semantic segmentation
(1)
adaptive filtering
(1)
prototype learning
(1)
cross-modal alignment
(1)
approximation theory
(1)
shallow neural network
(1)
weight matrix
(1)
modality calibration
(1)
3d scene completion
(1)
random neural network
(1)
session-based recommendation
(1)
entity calibration
(1)
conversational pattern
(1)
point cloud
(1)
Papers
Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs
AAAI 2026
HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
AAAI 2026
HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning
AAAI 2026
Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
AAAI 2026
Point Cloud Semantic Scene Completion with Prototype-Guided Transformer
AAAI 2026
Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction
AAAI 2026
EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
ICML 2025
MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition
IJCAI 2025
Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer
IJCAI 2025
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
ICML 2023