Zhigang Hua
5 papers · 2021–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
AAAI (2)
ICLR (2)
NIPS (1)
Top co-authors
Keywords
graph neural network
(2)
self-attention mechanism
(1)
embedding space
(1)
self-supervised learning
(1)
machine learning
(1)
graph optimization
(1)
graph transformer
(1)
global convolution
(1)
bi-level optimization
(1)
graph algorithm
(1)
graph edit distance
(1)
long-range dependency
(1)
graph data augmentation
(1)
neural network
(1)
neighborhood propagation
(1)
heuristic algorithm
(1)
cold-start setting
(1)
scalable graph learning
(1)
combinatorial optimization
(1)
hamiltonian cycle
(1)
Papers
Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation
AAAI 2026
A Scalable and Effective Alternative to Graph Transformers
AAAI 2025
Learning Graph Quantized Tokenizers
ICLR 2025
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
ICLR 2024
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
NIPS 2021