Feilong Cao
10 papers · 2023–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (15) π Conference Polyglot (2) π Cross-Pollinator (9)
π
Interdisciplinary Bridge
ποΈ
Keyword Collector
(51)
π
Century Club
(10)
β‘
Prolific Year
(6)
β
The Questioner
Conferences
AAAI (6)
ICML (2)
IJCAI (2)
Top co-authors
Keywords
contrastive learning
(4)
hyperedge prediction
(2)
self-supervised hypergraph learning
(2)
semantic segmentation
(1)
self-supervised learning
(1)
emotion recognition
(1)
prototype learning
(1)
modality calibration
(1)
adaptive filtering
(1)
cross-modal alignment
(1)
approximation theory
(1)
shallow neural network
(1)
weight matrix
(1)
multimodal fusion
(1)
multi-modal fusion
(1)
random neural network
(1)
3d scene completion
(1)
session-based recommendation
(1)
entity calibration
(1)
point cloud
(1)
Papers
Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs
AAAI 2026
Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
AAAI 2026
HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning
AAAI 2026
Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction
AAAI 2026
HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
AAAI 2026
Point Cloud Semantic Scene Completion with Prototype-Guided Transformer
AAAI 2026
EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
ICML 2025
Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer
IJCAI 2025
MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition
IJCAI 2025
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
ICML 2023