Zixing Song
16 papers · 2022–2026 · 5 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 ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π€ Dynamic Duo (12) π Century Club Β· Bronze
ποΈ
Keyword Collector
(88)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
Venues
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(10)
Architectures
(7)
Learning Types Β· Machine Learning
(7)
Core Methods
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Techniques
(3)
Knowledge & Reasoning
(2)
Natural Language Processing
(2)
Learning Paradigms
(2)
Models
(2)
Keywords
graph neural network
(7)
semi-supervised learning
(3)
active learning
(2)
representation learning
(2)
diffusion model
(2)
label propagation
(2)
distributed learning
(1)
inductive reasoning
(1)
domain adaptation
(1)
document summarization
(1)
privacy preserving
(1)
text summarization
(1)
extractive summarization
(1)
spectral augmentation
(1)
low-rank approximation
(1)
data augmentation
(1)
graph construction
(1)
label noise
(1)
neural network optimization
(1)
collaborative filtering
(1)
Papers
Graph-based Label-Efficient Learning: When Graph-Structured Data Meets Limited Labels
AAAI 2026
MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning
AAAI 2026
PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
CVPR 2026
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
AAAI 2025
Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space
ICML 2025
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
ICML 2025
A Diffusion-Based Pre-training Framework for Crystal Property Prediction
AAAI 2024
A Systematic Survey on Federated Semi-supervised Learning
IJCAI 2024
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations
IJCAI 2024
Graph Component Contrastive Learning for Concept Relatedness Estimation
AAAI 2023
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
NeurIPS 2023
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning
NeurIPS 2023
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
NeurIPS 2023
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
NeurIPS 2023
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
AAAI 2023
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization
AAAI 2022